Health Status of Children Entering Kindergarten in Nevada Results of the
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Health Status of Children Entering Kindergarten in Nevada Results of the
Health Status of Children Entering Kindergarten in Nevada Results of the 2014-2015 (Year 7) Nevada Kindergarten Health Survey June 2015 This project was completed in collaboration with the following: All Nevada County School Districts Nevada School District Superintendents Nevada Division of Public and Behavioral Health This publication was supported by the Nevada State Division of Public and Behavioral Health through Grant Number B04MC26680 from the U.S. Department of Health and Human Service, Health Resources and Services Administration. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Division nor the U.S. Department of Health and Human Service Health Resources and Services Administration. University of Nevada, Las Vegas School of Community Health Sciences The Nevada Institute for Children's Research and Policy (NICRP) is a not-for-profit, nonpartisan organization dedicated to advancing children's issues in Nevada. As a research center within the UNLV School of Community Health Sciences, NICRP is dedicated to improving the lives of children through research, advocacy, and other specialized services. NICRP's History: NICRP started in 1998 based on a vision of First Lady Sandy Miller. She wanted an organization that could bring credible research and rigorous policy analysis to problems that confront Nevada's children. But she didn't want to stop there; she wanted to transform that research into meaningful legislation that would make a real difference in the lives of our children. NICRP's Mission: The Nevada Institute for Children's Research and Policy (NICRP) looks out for Nevada's children. Our mission is to conduct community-based research that will guide the development of programs and services for Nevada's children. For more information regarding NICRP research and services, please visit our website at: http://www.nic.unlv.edu NICRP Staff Contributors: Amanda Haboush-Deloye, Ph.D. Chief Research Associate Patricia Haddad Research Assistant Mirzah Trejo, BA Research Assistant Dawn L. Davidson, Ph.D. Senior Research Associate Tara Phebus, M.A. Executive Director Nevada Institute for Children’s Research and Policy School of Community Health Sciences, University of Nevada, Las Vegas 4505 S. Maryland Parkway, 453030 Las Vegas, NV 89154-3030 (702) 895-1040 http://nic.unlv.edu Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 2 TABLE OF CONTENTS Executive Summary ........................................................................................................................6 Introduction .....................................................................................................................................8 Methodology ........................................................................................................................8 Limitations to the Study .......................................................................................................9 Survey Results ...............................................................................................................................11 Response Rates ....................................................................................................................11 Demographics .....................................................................................................................14 Insurance Status ..................................................................................................................19 Access to Healthcare ............................................................................................................23 Routine Care .......................................................................................................................25 Care for Illness or Injury ......................................................................................................28 Medical Conditions .............................................................................................................30 Dental Care .........................................................................................................................32 Mental Health.......................................................................................................................33 Weight and Healthy Behaviors ............................................................................................34 Appendix A: Summary of the 2014-2015 Survey Results by County ......................................50 Appendix B: Comparison of Survey Results by Survey Year ..................................................56 Appendix C: Survey Instrument .................................................................................................63 Appendix D: References ...............................................................................................................65 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 3 TABLE OF CONTENTS List of Tables Table 1.1: Survey Response Rate by School District .........................................................11 Table 1.2: Kindergarten Unaudited Enrollment and Response Rate by School District .....12 Table 2.1: Average Preschool Hours of Attendance ............................................................18 Table 10.1: Weight Status Categories by BMI Percentile Ranges .....................................34 Table 10.2: Weight Status Category Calculations Based on BMI Values ..........................35 Table 10.3: Average Television Watched During a Weekday ...........................................40 Table 10.4: Average Sleep per Night for the State of Nevada.............................................49 Table 11.1: Comparison of 2014-2015 Weighted Data by County .....................................50 Table 11.2: Comparison of 2012-2013 through 2014-2015 Weighted Data .......................56 List of Figures Figure 1.1: Survey Participation by School District ............................................................13 Figure 1.2: Survey Response Rate Among All Rural Counties ...........................................13 Figure 2.1: Weighted Survey Data by School District ........................................................14 Figure 2.2: Annual Household Income by School Year .....................................................15 Figure 2.3: Child’s Race/Ethnicity .....................................................................................16 Figure 2.4: Child’s Type of Preschool Setting During Last Twelve Months .....................17 Figure 3.1: Types of Children’s Health Insurance Coverage by School Year ....................19 Figure 3.2: Annual Household Income by Child’s Insurance Status ..................................21 Figure 3.3: Child’s Race/Ethnicity by Child’s Insurance Status ........................................22 Figure 4.1: Types of Barriers When Accessing Healthcare for Child .................................23 Figure 4.2: Access to Support Services by Child’s Race/Ethnicity .....................................24 Figure 5.1: Child’s Routine Check-Ups and Presence of Primary Care Provider ..............25 Figure 5.2: Presence of Primary Care Provider by Child’s Insurance Status .....................26 Figure 5.3: Child’s Routine Check-Ups by Presence of Primary Care Provider (PCP) ......27 Figure 6.1: Number of Emergency Room Visits for Non-Life-Threatening Care .............28 Figure 6.2: Percentage of Emergency Room Visits for Non-Life-Threatening Care by Child’s Insurance Status ...................................................................................29 Figure 7.1: Types of Medical Conditions in Children .........................................................30 Figure 7.2: Developmental Screening by Child’s Race/Ethnicity ...................................... 31 Figure 8.1: Child’s Dental Visit ...........................................................................................32 Figure 9.1: Trouble Obtaining Mental Health Services by County ....................................33 Figure 10.1: Child’s Weight Status Category ......................................................................36 Figure 10.2: Race/Ethnicity of Participants with a Valid Body Mass Index .......................37 Figure 10.3: Child’s Weight Status Category by Child’s Race/Ethnicity ..........................38 Figure 10.4: Child’s Weight Status Category by Amount of Physical Activity Per Week ........................................................................................................39 Figure 10.5: Child’s Weight Status Category by Hours of Television Watched on Average School Day ......................................................................................41 Figure 10.6: Child’s Weight Status Category by Hours of Video Game Playing on Average School Day.. ......................................................................................42 Figure 10.7: Child’s Weight Status Category by Number of Non-Diet Sodas Consumed in a Week ............................................................................................................43 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 4 TABLE OF CONTENTS Figure 10.8: Child’s Weight Status Category by Number of Diet Sodas Consumed in a Week ................................................................................................................44 Figure 10.9: Child’s Weight Status Category by Number of Juice Drinks Consumed in a Week ..............................................................................................................45 Figure 10.10: Infancy Feeding Habits .................................................................................47 Figure 10.11: Child’s Weight Status Category by Infancy Feeding Habits ........................48 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 5 EXECUTIVE SUMMARY To gather data on the health status of children entering the school system and to better track student health status, the Nevada Institute for Children’s Research and Policy (NICRP), in partnership with all Nevada School Districts and the Nevada Division of Public and Behavioral Health, conducted a health survey of children entering kindergarten in Nevada. The goal of this study was to: longitudinally quantify the health status of children as they enter school, identify specific areas for improvement to potentially increase academic success, and provide local information to policy makers to guide decisions that impact children’s health. In the fall of 2014, NICRP distributed questionnaires to all public elementary schools in the state, except Clark County School District, who requested that a sample of their schools be surveyed. The survey had an overall response rate of 30.6 percent, with a total of 7,480 surveys received from parents in all 17 school districts in Nevada. The data for this year and the past two were weighted so that the survey data collected represent each district and all children in the state (32,163). Weighted data are presented throughout this report to compare Clark County (73.6 percent), Washoe County (14.6 percent) and the rural counties combined (11.8 percent) as well as the past two survey years. The following tables contain some of the key findings of the survey. Please note that for each table, red arrows indicate what we think is a negatie change, green indicates positive change, and yellow indicates no change. Health Status: When compared to last year, behaviors in this category remain relatively steady with only slight fluctuations. There was an increase in obesity, increase in inactivity, increase in video game play/computer play, but a reduction in soda drinking and an increase in the percent of parents reporting feeding their infant breast milk only at one and three months. It is important to remember that these fluctuations are minor, so overall, the data remained fairly consistent in comparison to the last survey year. * 2013-2014 2014-2015 % Change Weight Status Underweight Healthy Overweight/Obese 15.1% 55.0% 29.9% 16.14% 52.4% 31.5% +6.9% -4.7% +5.4% 19.6% 20.0% +2.0% 20.6% 20.7% +0.5% 3.9% 5.2% +33.3% 59.6% 6.8% 60.8% 6.8% +2.0% 0.0% 85.7% 2.4% 87.5% 2.0% +2.1% -16.7% 46.1% 33.3% 23.1% - 48.3% 34.9% 21.9% 13.9% +4.8% +4.8% -5.2% - Physical Activity < 3 days per week of 30-minutes of physical activity Television Viewing on School Days 3 hrs or more of television watched per school day Computer/Video Game Play on School Days ≥ 3 hr of computer/video games played per school day Consumption of Non-Diet Soda Never drink non-diet soda Drink non-diet soda once a day or more Consumption of Diet Soda Never drink diet soda Drink diet soda once a day or more Infant Feeding Behaviors Breastfed Only – One Month Breastfed Only – Three Months Breastfed Only – Six Months Breastfed Only – Twelve Months - Note. *Green arrows = positive change, red arrows = negative change, and yellow arrows = no change (< +.5%). Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 6 EXECUTIVE SUMMARY Household Income: There were slight fluctuations in data from last year, but overall incomes remained steady in all three categories. 2013-2014 2014-2015 % Change * Household Income Less than $25,000 per year Less than $45,000 per year $45,000 or more per year 33.4% 55.6% 44.3% 33.2% 55.0% 45.0% -0.6% -0.6% +1.6% Note. *Green arrows = positive change, red arrows = negative change, and yellow arrows = no change (< +.5%). Insurance Status: The percentage of uninsured children dramatically decreased from last year. Medicaid coverage continues to increase at a greater rate than enrollment in private insurance which decreased this past year. * 2013-2014 2014-2015 % Change Insurance Status Uninsured Private Insurance Medicaid Nevada Check-up 12.6% 50.0% 25.9% 6.5% 7.6% 48.4% 31.3% 6.7% -39.7% -3.2% +20.8% +3.1% Note. * Green arrows = positive change, red arrows = negative change, and yellow arrows = no change (< +.5%). Routine Care: As compared to last year, the percentage of children receiving a routine check-up increased while having a primary care provider and visiting the dentist remained consistent. 2013-2014 2014-2015 % Change Routine Care Had a routine medical checkup in last 12 months Have a primary care provider Have been to the dentist in past 12 months 85.9% 86.4% 74.0% 87.0% 86.4% 74.8% * +1.3% 0.0% +1.1% Note. * Green arrows = positive change, red arrows = negative change, and yellow arrows = no change (< +.5%). Access to Health Care: Compared to last year, fewere respondents this year indicated that they had barriers to accessing health care. For those that reported having barriers, there was a decrease in barriers due to lack of insurance and lack of money. The percentage of respondents trying to access mental health care remained fairly consistent over the past year, and there was a decrease in the percentage of respondents having trouble obtaining these services. * 2013-2014 2014-2015 % Change Barriers to Accessing Health Care** None Lack of Transportation Lack of Insurance Lack of Quality Medical Providers Lack of Money/Financial Resources Have tried to access mental health services Had trouble obtaining mental health services 72.1% 3.4% 10.1% 5.2% 13.8% 4.2% 35.9% 79.4% 3.4% 7.3% 5.1% 10.4% 4.4% 31.8% +7.6% 0.0% -27.7% -1.9% -24.6% +4.8% -11.4% Note: *Green arrows = positive change, red arrows = negative change, and yellow arrows = no change (< +.5%). **Since respondents could select more than one barrier, totals may add up to more than 100%. For more detailed information on all survey items, please see Appendix B of the full report. Data for specific counties and/or schools may also be available upon request. Please contact NICRP at (702) 895-1040 for additional information. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 7 INTRODUCTION Academic achievement for children is vital to their success in life. Those that do well in school have greater opportunities for post-secondary education, and later have better prospects for employment. One of the major factors that can affect a child’s academic achievement is his or her health status. Academic outcomes and health conditions are consistently linked in the literature (Eide, Showalter, & Goldhaber, 2010; Taras & Potts-Datema, 2005). Children with poor health status, especially those with common chronic health conditions such as obesity or asthma have increased numbers of school absences, thus more academic deficiencies than those students with a good health status (Basch, 2010). In addition, children that have health insurance have fewer absences from school, as compared to children without health insurance (Yeung, Gunton, Kalbacher, Seltzer, & Wesolowski, 2010). In a study examining school achievement, when compared with children with low absenteeism, children with high absenteeism had lower academic performance (Farrington, Roderick, Allensworth, Ngaoka, Keyes, Johnson & Beechum, 2012). Therefore, to increase the likelihood for academic success in children, their health concerns need to be addressed. Preventative care is crucial to a child’s ability to succeed in school. According to data from the KIDS COUNT Data Center at the Annie E. Casey Foundation (2013), 13 percent of Nevada’s teens (ages 16-19) are not in school and are not working, and 42 percent are not graduating on time compared to 8 percent and 22 percent nationally. The National Dropout Prevention center lists poor attendance and low achievement as two of the significant risk factors for school dropout (Hammond, Linton, Smink, & Drew, 2007). Additionally, studies examining school dropout rates indicate that early intervention is necessary to prevent students from dropping out of school. Middle and high school students that drop out likely stopped being engaged in school much earlier in their academic career. Therefore, early prevention and intervention is crucial to improving graduation rates. Ensuring that children have their basic needs met, including receiving adequate health care, can directly impact a child’s academic achievement as well as increase their likelihood for high school graduation. To gain information about the health status of children entering the school system and better track student health status, in 2008 the Nevada Institute for Children’s Research and Policy (NICRP) partnered with the state’s 17 school districts, the Southern Nevada Health District, and the Nevada Division of Public and Behavioral Health (NDPBH) to conduct an annual health survey examining the health status as well as health insurance status of Nevada’s children entering kindergarten. The goal of the study is to longitudinally quantify the health status of children as they enter school so that specific areas for improvement can be identified and potentially increase academic success among Nevada’s students. This report reflects the results of the seventh year of the Annual Kindergarten Health Survey. METHODOLOGY The original survey used in this study was created in 2008 in partnership with the Clark County School District (CCSD) and the Southern Nevada Health District (SNHD). The survey was intended to provide a general understanding of the overall health status of children when they Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 8 INTRODUCTION enter school. The original short questionnaire was developed in both English and Spanish and consisted of 22 questions. Small revisions to the survey have occurred each year; therefore, data for all items presented in this report may not be available for all seven years. The current version of the survey consists of 28 questions (13 demographic questions and 15 health related questions) and, like the original survey, is available in both English and Spanish. In the Fall of 2014, questionnaires were distributed to kindergarten teachers in all public elementary schools in the state, with the exception of schools in the Clark County School District. The Clark County School District requested that only a sample of their schools be included in the survey to reduce burden on school staff. Therefore, surveys were sent to a randomly selected sample of schools (n = 139) in the district. This sample size was determined based on a 5 percent margin of error in survey results. In addition, schools were divided by Title I status, and a representative random sample of both Title I eligible and non-Title I eligible schools was selected. Schools qualify as Title I eligible when they serve large populations of children from low income families (typically a minimum of 40%) and receive supplemental federal funding from the Department of Education. Title I eligibility status was provided by the Clark County School District. It was determined that 159 of the 215 elementary schools in the district (74%) were Title I eligible schools. One hundred and three schools (74 percent of the target 139 schools in the sample) were randomly selected from a list of all Title I eligible schools using the statistical analysis program PASW Statistics 22.0. The remaining 36 schools (26 percent of the needed sample of 139) were randomly selected from a list of schools that were not Title I eligible. For all school districts in Nevada, surveys were distributed to parents during the first part of the school year. Parents who chose to participate, completed the survey and then turned it in to either the school office or their child’s teacher. The surveys were then returned to NICRP via mail. The parent could also mail the survey to NICRP directly. In efforts to increase the response rate from the previous year, this year extra measures were taken to ensure that all schools had received their surveys in the mail. In August, after surveys were sent to all school districts, each school was called to verify receipt of the survey materials. Many schools verified receipt while others could not account for the surveys and it was difficult who would know whether or not surveys were received. For schools that were sure they had not received the surveys, they were asked if they wanted to participate and have surveys resent, which was done upon request. In addition to the calls in August, one more set of phone calls were made in mid-October to schools in which we had not received any surveys. Once on the phone we attempted to verify if the surveys were distributed to parents and to determine if the school had any questions or problems with the survey in which we could be of service. In some cases, these phone calls reminded the school to distribute the surveys or just to send in collected surveys in some had been received. Once surveys were received by NICRP, each survey was assigned a unique identification number by NICRP staff to aid in tracking of survey responses. All survey responses received as of January 31, 2015 were analyzed using PASW Statistics software version 22.0 (SPSS IBM, New York, U.S.A). A weight based on county was applied to each record to adjust for student nonresponse. The weights are scaled so that the weighted count of students equals each county’s Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 9 INTRODUCTION population of kindergarten students as of count day for each survey year listed in this report. Therefore, the responses received from the 7,480 respondents represents a total of 32,163 kindergarten students in the State of Nevada. Weighted estimates are representative of all kindergarten students in the state of Nevada, as well as for Clark County, Washoe County, and the combination of all rural counties. This report only displays weighted results that are representative of the regions and the state. LIMITATIONS TO THE STUDY As in all research studies, there are limitations to the data collected. First, all information contained in this report was self-reported by each parent or guardian. The information provided relies on the memory and honesty of the survey respondents. Additionally, several of the responses were left blank on the surveys received. All of the surveys received were included in the analyses, but it is important to note when reading percentages presented in the figures below that not all respondents answered all questions. Therefore some figures may represent all cases (indicating all responded to the question), while others may have a smaller number of total cases because of respondents leaving that particular question blank. All percentages calculated for this report are based on the total weighted number of people answering the question, rather than the total number of people who completed a survey. Third, the school district survey data apply only to children who attend kindergarten and therefore are not representative of all persons in that age group. However, based on the number of 5 year olds that were projected to reside in the state of Nevada in 2013 (making them 6 years old in 2014 and eligible for kindergarten which was approximately 39,809 children) (Nevada State Demographer, 2013) and the number of children enrolled on count day (39,739) (Nevada Department of Education, personal communication, May 5, 2015), it appears that only a very small percentage of children do not attend kindergarten. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 10 SURVEY RESULTS Presented in the figures below are the basic frequencies (counts and percentages) of responses for all questions included in the survey. Cross tabulations were also calculated for selected variables to provide additional information on specific topics. A chi-square statistic was also calculated to test for the statistical significance of the differences provided in the cross tabulation tables. Percentage calculations are presented with figures as appropriate. In addition, the 20142015 data were compared across counties (Clark, Washoe, rural counties combined) for the current data collection period, and with data from the previous two years. All data presented after the response rates will be weighted data. RESPONSE RATES Each school district involved in the study provided NICRP with the estimated number of kindergarten students enrolled in their district for the 2014-2015 school year. Based on these estimates, 24,458 surveys were sent out to participating schools. At the end of the data collection period (January 2015), 7,480 surveys were returned to NICRP for a response rate of 30.6 percent. While the response rate had steadily improved from 2008-2009 (36.0%) to 2009-2010 (39.2%) and 2010-2011 (43.6%), the response rate for the past few years (2011-2012 = 36.3%; 2012-2013 = 35.1%, 2013-2014 = 29.1%) has declined. This year, however there was a 1.5 percent point increase in response rate. Significant attempts were made this year to increase the response rate such as ensuring school districts had their surveys in advance of the start of the school year, schools were notified when then surveys were sent out, and schools who had not returned surveys by October were given a reminder call. However, this did not appear to significantly affect the current response rate. With that said, the 30.6% response rate is still sufficient to make generalization about our state. Response rates for each school district (Table 1.1) ranged from 20.0% in Esmeralda County to 74.2% in Elko County. Table 1.1 Survey Response Rate by School District School District # Surveys Sent Out # Surveys Returned Carson City 665 281 Churchill County 350 98 Clark County 15,522 3,480 Douglas County 400 186 Elko County 600 445 Esmeralda County 20 4 Eureka County 28 6 Humboldt County 330 135 Lander County 100 52 Lincoln County 69 25 Lyon County 800 230 Mineral County 60 20 Nye County 379 143 Pershing County 60 8 Storey County 30 13 Washoe County 4,960 2,314 White Pine County 85 40 All Districts 24,458 7,480 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey Response Rate 42.3 28.0 22.4 46.5 74.2 20.0 21.4 40.9 52.0 36.2 28.8 33.3 37.7 13.3 43.3 46.7 47.1 30.6 April 2015 Page 11 RESPONSE RATES NICRP was able to calculate a response rate based on the number of surveys returned and the number of kindergartners enrolled within each school district by obtaining the unaudited enrollment numbers for each school district from the Department of Education. This information would indicate how much of the actual kindergarten sample was surveyed. This unaudited enrollment response rate was then compared to the response rate based on the number of surveys distributed within each school district. For the majority of districts, the number of surveys distributed was similar, but slightly higher than the unaudited enrollment data and the response rate varied between 2% and 10%. However, for Esmeralda County, the response rate differed by almost 40% with the unaudited enrollment response rate being higher than the survey distribution response rate. This indicates that Esmeralda County overestimated their enrollment. In Elko County, response rates differed by about 20%, with the survey distribution response rate being higher than the unaudited enrollment response rate. Despite the differences, the overall response rate for the unaudited enrollment response rate and the survey distribution response rate only varied by 0.6 percentage points. Some deviation between estimated and actual enrollment numbers is expected, and based on the similarities in response rates for the state as a whole, the response rate based on the survey distribution appears to be valid for all districts combined. Table 1.2 Kindergarten Unaudited Enrollment and Response Rate by School District Survey Unaudited # Surveys Unaudited Enrollment Distribution School District Enrollment Sent Out Response Rate Response Rate Carson City 665 42.3% 635 44.3% Churchill County 350 28.0% 265 37.0% Clark County 15,522 22.4% 14,210 24.5% Douglas County 400 46.5% 400 46.5% Elko County 600 74.2% 818 54.4% Esmeralda County 20 20.0% 7 57.1% Eureka County 28 21.4% 25 24.0% Humboldt County 330 40.9% 272 49.6% Lander County 100 52.0% 101 51.5% Lincoln County 69 36.2% 61 41.0% Lyon County 800 28.8% 604 38.1% Mineral County 60 33.3% 46 43.5% Nye County 379 37.7% 369 38.8% Pershing County 60 13.3% 47 17.0% Storey County 30 43.3% 26 50.0% Washoe County 4,960 46.7% 4,692 49.3% White Pine County 85 47.1% 112 35.7% All Districts 24,458 30.6% 22,690 33.0% Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 12 RESPONSE RATES Survey Participation by School District Figure 1.1 illustrates the participation of Washoe, Clark, and Rural Counties. A total of 7,480 surveys were returned, with 46.5% of those surveys completed by parents in Clark County, 30.9% from Washoe County, and the remaining 22.5% from the rural counties. This year, Clark County had a much lower response rate (60.2%) compared to previous years and Washoe County had a much higher response rate (26.4%). It is unknown why Clark County’s rates decreased so substantially, however, in Washoe County, their district made a concerted effort to distribute the survey to all of their schools and encouraged participation. Figure 1.1: Survey Participation by School District (2014-2015 n = 7,480 ) 30.9% Clark County Washoe County 22.5% Rural Counties 46.5% Figure 1.2 illustrates county-specific participation for only rural counties, which combined, represents 22.4 percent of the total respondents. Figure 1.2: Survey Response Rate Among All Rural Counties (2014-2015 n =1,686 ) 30.0% 26.4% 25.0% 20.0% 16.7% 13.6% 15.0% 11.0% 8.0% 10.0% 8.5% 5.8% 5.0% 0.0% 3.1% 0.2% 0.4% Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 1.5% 1.2% 2.4% 0.5% 0.8% April 2015 Page 13 DEMOGRAPHICS The survey was created to be one page in length, with one side presented in English and the reverse side presented in Spanish. Of the 7,480 respondents that returned the surveys, 85.8 percent completed the English version and 14.2 percent completed the Spanish version. Please note that all data provided from this point on are weighted to be representative of the regions of the state and the state as a whole. Therefore, the responses received from the 7,480 respondents represents a total of 32,163 kindergarten students. Figure 2.1 below demonstrates that after weights are applied, the distribution of the data mirrors that of the actual distribution of kindergarten students by region and the state overall. Figure 2.1: Weighted Survey Data by School District (2014-2015 n = 32,163 ) 73.6% 14.6% Clark County Washoe County 11.8% Rural Counties Parents were asked to respond to questions regarding their annual household income and their child’s gender, race/ethnicity, and preschool setting prior to kindergarten. Data for each of these questions are presented in Figures 2.1 through 2.3 below, with all percentages calculated using the total number of completed responses rather than the total number of returned surveys. Gender Among the kindergarten students for which gender was reported, the distribution was split nearly equally between males (49.9 percent) and females (50.1 percent). These results are consistent with survey results from the past two years. Family Demographics The average age of the child’s mother was 33.10 (SD = 6.94) and the average age of the father was 35.93(SD = 7.67). The average number of adults living in a house was 2.12 (SD = 0.86) and ranged from 0 to 22. The number of children living in a house averaged 2.53 (SD = 1.20) and ranged from 0 to 12. Approximately 30 percent of parents indicated that they were a single parent or guardian. The percentage of single parents in Clark County and Washoe County is similar and higher than the percentage of single parents in the Rural Counties (25.6%) (see Appendix A, Table 11.1). Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 14 DEMOGRAPHICS Annual Household Income According to the U.S. Census Bureau, Small Area Income and Poverty Estimates, the 2008-2012 estimated median household income in Nevada was $54,083. This median income represents the middle value of a distribution, and is the best measure of central tendency to reduce the impact of outliers (very high or very low incomes) in the distribution. Compared to the median income listed for Nevada, 55 percent of all respondents reported an annual income below $45,000 (Figure 2.2 below). Compared to previous survey years: The number of families with annual income levels below $25,000 has decreased by .2 percentage points since last year, although there was a decrease in families earning less than $15,000 per year. Over the past three years, there have been minor fluctuations in both directions in all income categories. The largest change among all the categories has been a 1.4 percentage point increase the number of families earning over $95,000. Figure 2.2: Annual Household Income by School Year (2012-2013 n = 27,451; 2013-2014 n = 28,124; 2014-2015 n= 27,461 ) 20.0 % of Respondents 15.0 10.0 5.0 0.0 $0$14,999 2012-2013 2013-2014 2014-2015 18.1 18.0 17.3 $15,000 $25,000 $35,000 $45,000 $55,000 $65,000 $75,000 $85,000 $95,000 + $24,999 $34,999 $44,999 $54,000 $64,999 $74,999 $84,999 $94,999 15.6 12.9 9.3 8.0 6.3 6.1 6.0 4.0 13.7 15.5 12.6 9.6 7.6 6.7 6.1 5.5 4.0 14.4 15.9 13.1 8.7 7.5 6.3 5.7 5.8 3.9 15.8 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 15 DEMOGRAPHICS Race/Ethnicity This year, race and ethnicity data were compared to the most recent data available from the Nevada Department of Education student demographic profiles. This provides a more accurate comparison of race and ethnicity as it is restricted to school aged children rather than to all residents of in the state of Nevada. Compared to the racial demographics of the students attending public schools in Nevada, the reported race/ethnicity of the kindergartners in this survey were fairly similar with differences only ranging from 0-6.9% percentage points (see Figure 2.3). However, there were proportionally more children in the KHS survey whose parents or guardians reported that the child had multiple races. It is important to note that the Nevada Department of Education does not provide an option for “other” while the KHS does take that into account. These results are consistent with KHS data received in 2012-2013 and in 2013-2014. When comparing results across counties for the 2014-2015 school year (refer to Table 11.1 in Appendix A), there is a higher percentage of African American/Black and Asian/Pacific Islander kindergartners in Clark County as compared to Washoe County, and even fewer in the Rural Counties. In addition, there are more Native American/Alaska Native kindergartners in the Rural Counties as compared to Washoe County, and even fewer in Clark County. Figure 2.3: Child's Race/Ethnicity (2014-2015 n = 31,310) 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% African American /Black Survey Sample Nevada DOE* 6.3% 9.9% Native Asian/ American Pacific Caucasian Hispanic / Alaska Islander Native 6.5% 38.3% 33.7% 1.1% 6.9% 36.0% 40.6% 1.1% Race/Ethnicity Other Race Multiple Races 0.1% 14.1% 5.6% Note. * Nevada Department of Education 2013-2014 Demographic Profile Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 16 DEMOGRAPHICS Preschool Setting Respondents were asked to indicate the type of preschool setting, if any, their kindergartner attended in the past twelve months (see Figure 2.4). These categories were adjusted from the 2012-2013 survey in order to capture more specific settings. Therefore, the 2013-2014 school year might not have data for certain categories. Compared to 2013-2014 data: 33.5 percent of respondents indicated that their kindergartner had stayed at home in the prior year, which is a 2.4 percentage point decrease from last year. Attendance at school district preschool sites has steadily increased over the past two years. When comparing the 2014-2015 data across counties (Table 11.1): A higher percentage of children attended Head Start in Washoe County (8.5) and the rural counties (10.2) as compared to Clark County (4.9). A higher percentage of children attended school district run preschools in Clark County (24.9) as compared to Washoe (20.9) and the Rural counties (23.4). A higher percentage of children in Washoe County (35.8) did not attend preschool as compared to rural counties (23.2) and Clark County (34.0). Figure 2.4: Child's Type of Preschool Setting During Last Twelve Months (2012-2013 n = 32,116; 2013-2014 n = 32,103; 2014-2015 n= 29,812 ) 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% 2012-2013 2013-2014 2014-2015 Head Start Other Facility/ Care HomeBased Care 5.8% 6.6% 5.8% 24.7% 21.9% 22.6% 6.6% 5.8% 5.1% University Campus PreSchool 1.2% 1.1% 0.9% School District PreSchool 19.2% 21.8% 24.2% None/ Stayed Home Multiple Sites 40.0% 35.9% 33.5% 2.4% 4.0% 4.7% Friends/ Family/ Neighbor Care 2.8% 3.1% Note. Blank boxes indicate data are not available. For these categories, percents will not total 100 because not all categories for those years are available. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 17 DEMOGRAPHICS Average Hours of Preschool Attendance Since the 1950s there has been a drastic increase in the percentage of children who are spending time in non-parental child care settings (McGroder, 1988). Sixty percent of children under five spend an average of 29 hours per week in some form of non-parental child care setting (Iruka & Carver, 2011). Therefore, it is important to specifically understand how preschool environments affect our children. Some of these effects, positive or negative, might be correlated with the time spent in non-parental care. Therefore, in addition to the preschool setting, a question was included to determine how many hours children spent in the preschool setting. Results from Table 2.1 indicate that almost half of parents/guardians have their child in someone else’s care 20 hours or less per week (40.7 percent) and only 7.6 percent have them in someone else’s care more than 40 hours a week. When comparing the results across counties (Table 11.1): A higher percentage of children were in care 20 hours a week or less in the Rural counties (56.1) as compared to Clark (40.1) and Washoe (36.3) counties. A higher percentage of children were in care more than 20 hours a week in Washoe County (28.2) and Clark County (28.1) compared to the Rural Counties (20.3). Table 2.1 Average Preschool Hours of Attendance (n=27,034) 0 HRS 31.8% 5-10 HRS 17.7% 10-15 HRS 14.4% Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 15-20 HRS 8.6% 20-30 HRS 8.4% 30-40 HRS 11.5% 40+ HRS 7.6% April 2015 Page 18 INSURANCE STATUS Background Nevada has consistently placed near the bottom of nationwide rankings with regard to the percent of children covered by health insurance. According to the U.S. Census Bureau American Community Survey (2013), approximately 7.1 percent of children under the age of 18 in the United States are uninsured compared to 14.9 percent of children under the age of 18 in Nevada. A correlation exists between children’s health insurance status and access to health care services. Research indicates that uninsured children are less likely to have access to the care they need and are more likely to have poorer health outcomes as compared to insured children. For example, parents of uninsured children are more likely to report that their child has an unmet health need (DeRigne, Porterfield & Metz 2009). Nevada was ranked 46th when compared nationally across four dimensions of health: healthcare access and affordability, prevention and treatment, avoidable hospital use and cost, equity, and healthy lives (Radley, McCarthy, Lippa, Hayes, & Schoen, 2014). Status of Health Insurance of Kindergarten Students In the current study, respondents were asked to indicate their child’s current health insurance coverage. Figure 3.1: Types of Children's Health Insurance Coverage by School Year (2012-2013 n = 32,719; 2013-2014 n = 32.595; 2014-2015 n= 27,309 ) 80.0% 70.0% % of Respondents 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% 2012-2013 2013-2014 2014-2015 Uninsured Private Medicaid 13.6% 12.6% 7.6% 47.6% 50.0% 48.4% 23.5% 25.9% 31.3% Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey Nevada Check Up 6.3% 6.5% 6.7% Other 6.4% 2.1% 2.8% Multiple Types 2.6% 2.9% 3.2% April 2015 Page 19 INSURANCE STATUS Approximately 92.4 percent of respondents indicated that their child had some type of health insurance and 7.6 percent of respondents stated that their child had no coverage. This is the lowest rate of uninsured children since this survey’s inception in 2008-2009 (not presented here because the data is unweighted) and a 40% decrease in the number of uninsured children compared to last year. Approximately 2.8 percent of respondents indicated that their child had some “other” type of health insurance not listed on the survey questionnaire. Respondents indicated that these “other” types of insurance included coverage provided through tribal insurance and by discount companies (e.g., Access to Healthcare). Unfortunately, some of the responses were illegible and thus could not be reported or recoded into another category. It is possible that some of these responses could have been coded as belonging to the private or public survey categories. In addition, 3.1 percent of respondents selected “multiple types” of health insurance for their kindergartner. The majority of these respondents specified that their child had both Medicaid and a private form of health insurance, or Medicaid and Nevada Check Up. Of the health insurance options: Nearly half (48.4%) of the respondents indicated that their kindergartner had private health insurance. Approximately 38% of the respondents indicated that their kindergartner had public health insurance (either Medicaid or the state’s children’s health insurance program, Nevada Check Up). The rates of children enrolled in private insurance are decreasing while enrollment in public insurance (e.g., Medicaid) is increasing. Given that private insurance rates over the past year decreased slightly (50.0% in 2013-2014), participation in public health insurance raised approximately 5 percentage points since 2013-2014, and the number of children uninsured decreased the same amount this year, many of these children likely obtained public health insurance (see Figure 3.1). A recent study using data from the Kindergarten Health Survey suggests, access to health care is reduced for those receiving public insurance compared to private insurance (Haboush, Phebus, Hensley, Teramoto, & Tanata, 2013).While it is a goal to increase health coverage for children, it is important to ensure that they have access to quality healthcare. Increasing Access to Insurance through the Nevada Health Link (Silver State Exchange) Due to regulations of the Affordable Care Act, in October of 2013, Nevada began its health exchange program, the Silver State Exchange, better known as Nevada Health Link. The 20142015 survey was able to capture respondent’s participation in that program for their children. Results are as follows: 19.2% of respondents (n=31,148) indicated that they or someone else applied for their child. 11.6% of respondents (n=27,589) indicated that they had applied for insurance for themselves. o Of those that applied for themselves, 71% indicated that they were approved. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 20 INSURANCE STATUS Annual Household Income and Insurance Status Not surprisingly, children from families with a lower household income are more likely to be uninsured than those children whose family has a higher income (see Figure 3.2). 43.1 percent of children who are uninsured live in households with an annual income of less than $25,000. This is consistent with previous years. However, 32.2 percent of children who live in a household with an annual income of less than $25,000 have insurance, which is not consistent with data from previous years. Given the reduced rates on uninsured children in Nevada, income may be less of a barrier than in previous years. Figure 3.2: Annual Household Income by Child's Insurance Status (2014-2015: Uninsured n = 2,033 ; Insured n = 25,273 ; Total n = 27,306 ) 30.0% 25.0% 20.0% 15.0% 10.0% 5.0% 0.0% $15,000 $24,999 Uninsured 23.1% 20.0% Insured 16.7% 15.5% $0 $14,999 $25,000 $34,999 19.8% 12.5% $35,000 $44,999 8.5% 8.8% $45,000 $54,999 11.6% 7.2% $55,000 $64,999 5.6% 6.4% $65,000 $74,999 3.1% 5.9% $75,000 $84,999 3.8% 6.0% $85,000 $95,000 Total + $94,999 1.4% 3.2% 100% 4.1% 16.9% 100% Household Income Note. Percentages are calculated out of the number within each insurance category. Percentages may not add up to 100 due to rounding. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 21 INSURANCE STATUS Race/Ethnicity and Insurance Status Figure 3.3, detailing the relationship between race/ethnicity and insurance status, shows that nearly half of children who are uninsured are Hispanic (47.2 percent) and almost a third are Caucasian (28.3 percent). While data has been fairly consistent over the past 2 survey years (Appendix B), compared to the 2013-2014 school year: The percentage of uninsured children decreased for all racial groups with the exception of Caucasian children (25.3%) and children with multiple races (10.8%). The percentage of uninsured Hispanic children decreased by 3.1 % , but are still more likely to be uninsured as compared to other racial/ethnic groups. Figure 3.3: Child's Race/Ethnicity by Child's Insurance Status (2014-2015:Uninsured n = 28,665 ; Insured n = 2,361 ; Total n = 31,026) 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Uninsured Insured Total % of Respondents African American/ Black Asian/ Pacific Islander Caucasian Hispanic 4.8% 6.3% 3.9% 6.7% 28.3% 39.2% 47.2% 32.5% Native American/ Alaska Native 0.6% 1.1% 6.2% 6.5% 38.4% 33.6% 1.1% Other Race Multiple Races Total 0.1% 0.1% 15.0% 14.1% 100% 100% 0.1% 14.2% 100% Race/Ethnicity Note. Percentages are calculated out of the number within each insurance category. Research indicates that in Nevada, and across the United States, Hispanic populations are much more likely to be uninsured than Caucasian populations (Newport & Mendes, 2009). Approximately 32 percent of Hispanics across the country are uninsured (Kaiser Family Foundation, 2013). This rate is likely to increase in states with large proportions of Hispanic immigrants like Nevada. Although many of these Hispanic children are eligible for public health insurance, barriers to enrollment such as language and literacy challenges, and fears about immigration enforcement for families with mixed immigration status continue to impede parents/guardians from obtaining insurance coverage for their children (Kaiser Family Foundation, 2013). Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 22 ACCESS TO HEALTHCARE Barriers to Accessing Healthcare When asked about accessing health care for their child, 20.6 percent of respondents indicated that they had experienced at least one barrier. The majority had difficulty due to either “lack of money” or “lack of insurance” for health care services. Figure 4.1: Types of Barriers When Accessing Health Care for Child (2012-2013 n = 31,810; 2013-2014 n = 31,583; 2014-2015 n= 6,370 ) 14.6% 13.8% 15.0% 10.4% 10.3% 10.1% 10.0% 7.3% 5.2% 5.1% 4.9% 5.0% 3.0% 3.4% 3.4% 2.3% 2.1% 1.9% 0.0% 2012-2013 Barriers . 2013-2014 2014-2015 Of all respondents experiencing one or more barriers to accessing health care (approximately 6,370 respondents): 77.4% reported having health insurance (28.9% private, 34.5% Medicaid, 7.8% Nevada Check Up, and 3.7% Other/Multiple); 60.3% had an annual household income of less than $35,000. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 23 ACCESS TO HEALTHCARE Knowledge Regarding Accessing Support Services To obtain a better understanding of why parents/guardians might experience difficulty accessing services, a question was added in the 2013-2014 survey to try to assess levels of knowledge regarding accessing support services. Overall, 26.8% of respondents (n=31,529) were somewhat aware of how to access support services and 29.1% reported that they did not know how to access support services. Those in the Rural counties (only 26.7 percent knew how to access services) were less sure of how to access services than those in Washoe County (50.8 percent knew how to access services) and Clark County (40.7 percent knew how to access services). When exploring race/ethnicity and differences in knowledge, results indicate that those that classified themselves as Asian/Pacific Islander or Hispanic had less knowledge about accessing support services compared to the other groups. Figure 4.2: Access to Support Services by Child's Race/Ethnicity (2014-2015: African American n = 1,921 ; Asian / Pacific Islander n = 2,002 ; Caucasian n = 11,866 ; Hispanic n = 10,220; Native American / Alaska Native n = 334; Other n = 23 ; Multiple Rac 90.0% 80.0% 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Yes Somewhat / Not Really No Total African American Asian / Pacific Islander Caucasian Hispanic 52.0% 22.8% 25.2% 100.0% 30.8% 29.4% 39.8% 100.0% 53.0% 26.7% 20.2% 100.0% 31.9% 28.3% 39.8% 100.0% Native American / Alaska Native 58.4% 21.6% 20.1% 100.0% Other Race Multiple Races 39.1% 30.4% 30.4% 100.0% 49.5% 26.1% 24.4% 100.0% Race/Ethnicity Note. Percentages are calculated out of the number within each insurance category. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 24 ROUTINE CARE Background Access to routine medical care services is a major factor contributing to a child’s health status. Routine care includes basic health care services such as immunizations, vision screenings, and well child visits. Children without health insurance are more likely to miss out on routine care than insured children. Hoilette, Clark, Gebremariam, and Davis (2009) found that 23.3% of uninsured children in the United States reported that they did not have a regular source of care. Having access to regular primary care services, or a medical home, is another key indicator of children’s overall health status. Studies have shown that having access to usual care has been associated with better health and reduced health disparities, and that children without a regular source of care are nine times more likely to be hospitalized for a preventable problem (Shi, et al., 1999; Starfield, Shuh, 2004). Primary care providers, (e.g. physicians, physician’s assistants, nurses) offer a medical home where children can receive basic care services, such as annual check-ups and immunizations. Children that regularly see a primary care provider who coordinates and organizes their care tend to have a better health status than children without access to a primary care provider (Starfield, Shi & Macinko, 2005). Routine Care for Kindergarten Students Current survey results indicate that 87 percent of kindergartners had at least one routine medical check-up in the twelve months prior to the date of the survey. Similarly, 86.4 percent of parents reported that their child had a primary care provider. Compared to last year, the percentage of children who had a routine checkup slightly increased (1.1 points) while the percentage of children who had a primary care provide remained the same. Figure 5.1: Child's Routine Check-Ups and Presence of Primary Care Provider 90.0% (2014-2015: Check-Up n = 31,441 ; Primary Care Provider n = 31,450) 87.0% 86.4% 80.0% 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 13.0% 13.6% 10.0% 0.0% No Yes Has your child been seen by a medical provider for a routine check-up in the past twelve months? Does your child have a primary care provider? Note. Percentages are calculated out of the number within each insurance category. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 25 ROUTINE CARE In the current sample, approximately 89.5 percent of children with health insurance have a primary care provider, while only 49.3 percent of children without insurance have a primary care provider. These results clearly indicate that a child’s insurance status is related to having a primary care provider (see Figure 5.2). Figure 5.2: Presence of Primary Care Provider by Child's Insurance Status (2014-2015: Uninsured n = 2,400 ; Insured n = 28,832 ; Total n = 31,232) 100.0% 89.5% 90.0% 80.0% 70.0% 60.0% 50.0% 50.7% 49.3% 40.0% 30.0% 20.0% 10.5% 10.0% 0.0% Uninsured Insured Insurance Status PCP - No Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey PCP - Yes April 2015 Page 26 ROUTINE CARE Having a primary care provider is also related to whether or not a child has had a routine checkup in the past 12 months (see Figure 5.3). Of the children that had a routine check-up, 98.1 percent had a primary care provider. Of the children that had not had a routine check-up in the last year, 46.7 percent did not have a primary care provider. Figure 5.3: Child's Routine Check-Ups by Presence of Primary Care Provider (PCP) (2014-2015: No PCP n = 4,010 ; Has PCP n = 26,883 ; Total n = 30,893) 98.1% 100.0% 90.0% 80.0% 70.0% 60.0% 50.0% 53.3% 46.7% 40.0% 30.0% 20.0% 8.2% 10.0% 0.0% Routine Check-Up - No Routine Check-Up - Yes Presence of PCP PCP - No PCP - Yes Note. Percentages are calculated out of the number within each PCP category. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 27 CARE FOR ILLNESS OR INJURY In recent years, a growing number of uninsured children with minor, non-life-threatening conditions have accessed health care services at emergency care facilities (Garcia, Bernstein, & Bush, 2010). Most uninsured children come from lower-income families that cannot afford to pay high costs for medical care (Garcia et al., 2010). These families are often left with little option but to use hospital emergency rooms (ERs) or other urgent care facilities for non-lifethreatening conditions because that is the only place that they can get the care they need. Approximately 19.3 percent of respondents indicated they had visited an ER for a non-life threatening illness or injury for their child once or twice in the past year. This number has risen slightly over the past three years, however the number of those that have not used the ER has remained fairly consistent, with a slight decrease in the past two years (see Figure 6.1). Figure 6.1: Number of Emergency Room Visits for Non-Life-Threatening Care (2012-2013 n = 32,693; 2013-2014 n = 32,575; 2014-2015 n= 31,725) 90.0% 80.0% 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% 2012-2013 2013-2014 2014-2015 No Visits 1-2 Visits 3-5 Visits 6-9 Visits 80.6% 80.0% 79.0% 17.9% 18.3% 19.3% 1.4% 1.5% 1.5% 0.1% 0.2% 0.1% Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 10 or More Visits 0.1% 0.1% 0.1% Total 100.0% 100.0% 100.0% April 2015 Page 28 CARE FOR ILLNESS OR INJURY Insurance status does not appear to be an indicator of usage of an ER. Figure 6.2 shows the percentage of ER visits by child’s insurance status. For both insured and uninsured groups, the vast majority of children had not been to an ER for a non-emergency in the past 12 months. However, those with insurance seem to use the ER more frequently than those without insurance for non-life threatening care. Figure 6.2: Percentage of Emergency Room Visits for NonLife-Threatening Care by Child's Insurance Status (2014-2015: Uninsured n = 2,392 ; Insured n = 29,089 ; Total n = 31,481 ) 90.0% 80.0% 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Uninsured Insured No Visits 1-2 Visits 3-5 Visits 6-9 Visits 86.7% 78.3% 12.0% 20.0% 1.4% 1.5% 0.0% 0.1% 10 or More Visits 0.0% 0.1% Total 100% 100% Number of Visits. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 29 MEDICAL CONDITIONS Many of Nevada’s children have medical conditions. Treatment for these children can be expensive and can require a team of medical care providers, led by a primary care physician, devoted to the treatment and maintenance of their conditions. Thus, quality health insurance coverage is vital for children with special health conditions, as it improves their chances of having ongoing care and treatment. According to this year’s survey results, 27.7 percent of parents indicated that their child had a medical condition (see Figure 7.1). 6.9 percent of respondents reported that their child had asthma, which was the highest reported medical condition after allergies. Diedhiou, Probst, Harding, Martin, and Xirasagar (2010), found that in the United States, approximately 9% of 14,916 children with special health care needs and asthma lacked consistent health care coverage; children aged 0 to 5 years represented 23.7% of that sample. Approximately 4.7 percent of respondents indicated that their child had an “other” health condition not listed on the survey. Such “other” conditions included eczema, food allergies, and rare diseases or disorders. Figure 7.1: Types of Medical Conditions in Children (2012-2013 n = 30,599; 2013-2014 n = 32,969; 2014-2015 n= 29,765) 16.0% 14.0% 12.0% 10.0% 8.0% 6.0% 4.0% 2.0% 0.0% 2012-2013 1.4% 8.1% 0.4% 0.0% 0.2% 3.5% 0.3% 0.3% Physical Disabilit y 0.3% 6.6% 0.5% 81.8% 2013-2014 1.3% 15.1% 7.5% 0.6% 0.1% 0.1% 5.1% 0.3% 0.4% 0.4% 5.2% 0.6% 71.2% 2014-2015 1.3% 15.5% 6.9% 0.5% 0.1% 0.1% 4.7% 0.4% 0.4% 0.4% 4.7% 0.4% 72.3% ADD/ ADHD Allergy Asthma Autism Cancer Diabetes Glasses/ Hearing Mental Contacts Impaired Health Other Seizures No Medical Note. Blank cells indicate data is not available. Respondents can select multiple categories therefore the total percent within each year might exceed 100%. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 30 MEDICAL CONDITIONS Developmental Screening Developmental screening is a method used by child care providers (e.g. mental health providers, pediatricians, child care professionals) to assess whether a young child has delayed mental or physical development. Early identification of developmental delay, coupled with the initiation of intervention programs can contribute to greater academic and social success throughout a child’s life (Brookings Institute 2014). Many children with developmental disabilities are not identified until they have entered kindergarten or later, causing the child to miss out on crucial years of intervention (CDC, 2014b). Therefore, a question was added to this year’s survey in which respondents were asked whether or not their child received a developmental screening in the past 12 months. Overall, 51.8 percent of respondents (n=30,068) reported that their child did not have a developmental screening and 25.0% reported that they were unsure. When exploring differences among the counties, more respondents in the Rural Counties (30.2 percent) reported that their child had been screened as compared to Washoe County (24.6 percent) and Clark County (21.8 percent). When exploring race/ethnicity differences in screening (Figure 7.2), results indicate that those that classified their child as Native American/Alaskan Native had the highest rate of reported screening, while those classified as Hispanic and Asian/Pacific Islander had the lowest screening rates. Figure 7.2 Developmental Screening by Child's Race/Ethnicity (2014-2015: African American n = 1,908 ; Asian/Pacific Islander n = 1,987 ; Caucasian n = 11,760 ; Hispanic n = 9,749 ; Native American/Alaska Native n = 336) Percent of Respondents 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Yes No Not Sure Total African American Asian / Pacific Islander Caucasian Hispanic 28.1% 48.0% 23.9% 100.0% 17.6% 59.0% 23.4% 100.0% 27.5% 49.1% 23.5% 100.0% 18.7% 55.9% 25.4% 100.0% Native American / Alaska Native 20.2% 45.5% 34.2% 100.0% Note. Percentages may not add up to 100 due to rounding. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 31 DENTAL CARE Background Routine dental care is also important to children’s health and daily functioning. Children without access to regular dental care are more likely to experience dental problems, such as dental cavities and tooth abscesses. Dental problems have been linked to poor performance in school, difficulty concentrating, and problems completing school work. (Seirawan, Faust, Mulligan, 2012). Research also indicates that uninsured children are much more likely to have unmet dental needs (e.g. teeth cleanings). One study found that 4 percent of privately insured children and 5 percent of publicly insured children had an unmet dental need, whereas 22 percent of uninsured children had an unmet dental need (Child Trends, 2015). Additionally, uninsured children are 1.5 times more likely to not have received preventative care in the last year and 3 times more likely to have an unmet dental need than insured children (Liu et al., 2007). Dental Care of Children Entering Kindergarten To prevent oral health problems, it is generally recommended that children receive regular dental check-ups every six months to a year as soon as they receive their first tooth, or when they are one year old (American Academy of Pediatric Dentistry, 2014). In the current study, 25.2 percent of survey respondents indicated that their kindergartner had NOT seen a dentist in the past twelve months, which was a slight decrease from the 2012-2013 and 2013-2014 data (Figure 8.1). Figure 8.1: Child's Dental Visit (2012-2013 n = 32,772; 2013-2014 n = 31,224; 2014-2015 n= 29,289) 80.0% 74.2% 74.0% 74.8% 70.0% 60.0% 50.0% 40.0% 30.0% 25.8% 26.0% 25.2% 20.0% 10.0% 0.0% No 2012-2013 Yes 2013-2014 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 2014-2015 April 2015 Page 32 MENTAL HEALTH Many of Nevada’s children have mental health conditions that require specialized treatment. It is important that these children have regular access to mental health services. This is particularly true for young children entering the elementary school system. Without access to mental health care providers to manage and treat their conditions, children with mental health conditions are more likely to experience learning difficulties and developmental delays (Baker, Neece Fenning, Crni & Blacher, 2010). The survey results indicate that 4.4 percent of respondents have tried to access mental health services for their children, a percentage similar to the 2012-2013 and 2013-2014 data. Of the respondents who have tried to access these services for their child: Of those that attempted to access services, 31.8 percent reported having trouble obtaining the services, a slight decrease from the previous survey year (35.9). When examining this percentage across counties, it was found that there were slight differences between counties, with those in Washoe County reporting less trouble obtaining services (see Figure 9.1). Reported barriers to obtaining services most frequently included problems making appointments/waiting periods, lack of providers, or insurance not covering the issue. Figure 9.1: Trouble Obtaining Mental Health Services by County (2014-2015 Tried to obtain Mental Health Services Clark n = 851 ; Washoe n = 205 ; Rural n = 171 ; Statewide n = 1,227 ) 70.0% 60.0% 50.0% 40.0% 34.5% 33.6% 31.8% 30.0% 20.0% 22.0% 10.0% 0.0% Yes Trouble Obtaining Mental Health Service Clark County Washoe County Rural County Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey Statewide April 2015 Page 33 WEIGHT AND HEALTHY BEHAVIORS Childhood obesity is a growing public health problem, as it has doubled in children and quadrupled in adolescents since the 1980’s (Ogden, Carroll, Kit, Flegal, 2014). Research has indicated there is a significant link between high Body Mass Index (BMI) values and type II diabetes (Ganz, Wintfeld, Li, Alas, Langer, & Hammer, 2014).). Therefore, monitoring children’s weight has become an important tool for analyzing potential health problems. The current survey asked parents to write in their child’s height and weight information. NICRP used this information to calculate a Body Mass Index (BMI) value for each child with valid height and weight responses. BMI values were calculated using the standard formula employed by the CDC and other health agencies: BMI = [(Weight in pounds) / Height in inches2]*703 However, to increase the validity of the data, several strict guidelines were implemented for the calculation of BMI. First, if the respondent reported that the child was under the age of 4, or over the age of 6, they were excluded from the analyses, as it is unlikely kindergartners would be outside of this age range. Age is an important determinant as it is used to determine weight status category and is strongly correlated with height. Second, if a child’s reported height was outside of the 95% interval of average height of 4-6 year olds (based on the CDC, 2000), the child was excluded from the analysis. Finally, if a child’s weight was reported under 20lbs, the child was excluded from the analysis. This resulted in 12,077 (37.5 percent of the entire sample) with a valid BMI value. Once BMI was calculated, each child in the sample was assigned a weight status category based on CDC standards, which uses a child’s age, gender, and BMI percentile. Table 10.1, below, outlines the BMI percentile ranges for each weight status category. Table 10.1: Weight Status Categories by BMI Percentile Ranges Weight Status Category Underweight Healthy Weight Overweight Obese BMI Percentile Range BMI less than the 5th percentile BMI from the 5th percentile to less than the 85th percentile BMI from the 85th percentile to less than the 95th percentile BMI equal to or greater than the 95th percentile Source: Centers for Disease Control and Prevention (2011a). About BMI for Children and Teens. Retrieved from http://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html#What is BMI percentile Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 34 WEIGHT AND HEALTHY BEHAVIORS For the purpose of this study, NICRP used 10 different weight status formulas: one formula for girls and one for boys in each of the following ages: 4.0, 4.5, 5.0, 5.5, and 6.0. Table 10.2 outlines the calculations used to determine weight status categories. Table 10.2: Weight Status Category Calculations Based on BMI Values Females Age 4.0 4.5 5.0 5.5 6.0 Weight Status Category Underweight Healthy Weight 0 < BMI < 13.725 13.725 <= BMI < 16.808 0 < BMI < 13.614 13.614 <= BMI < 16.760 0 < BMI < 13.527 13.527 <= BMI < 16.796 0 < BMI < 13.465 13.465 <= BMI < 16.906 0 < BMI < 13.428 13.428 <= BMI < 17.083 Overweight 16.808 <= BMI < 18.028 16.760 <= BMI < 18.084 16.796 <= BMI < 18.240 16.906 <= BMI < 18.486 17.083 <= BMI < 18.808 Obese BMI >= 18.028 BMI >= 18.084 BMI >= 18.240 BMI >= 18.486 BMI >= 18.808 Weight Status Category Underweight Healthy Weight 0 < BMI < 14.043 14.043 <= BMI < 16.935 0 < BMI < 13.932 13.932 <= BMI < 16.852 0 < BMI < 13.845 13.845 <= BMI < 16.839 0 < BMI < 13.781 13.781 <= BMI < 16.891 0 < BMI < 13.739 13.739 <= BMI < 17.003 Overweight 16.935 <= BMI < 17.842 16.852 <= BMI < 17.829 16.839 <= BMI < 17.927 16.891 <= BMI < 18.118 17.003 <= BMI < 18.389 Obese BMI >= 17.842 BMI >= 17.829 BMI >= 17.927 BMI >= 18.118 BMI >= 18.389 Males Age 4.0 4.5 5.0 5.5 6.0 Source: Centers for Disease Control and Prevention (2011b). Body Mass for Age Tables. Retrieved from http://www.cdc.gov/growthcharts/html_charts/bmiagerev.htm In the 2010-2011 report, specific validity criteria was established regarding age, height, and weight to calculate the most accurate BMI. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 35 WEIGHT AND HEALTHY BEHAVIORS Based on the calculated BMI for this year’s sample, more than half (52.4 percent) of the children were categorized as being at a healthy weight, a rate consistent with the previous school year (see Figure 10.1). However, 16.1% of children were underweight; Washoe County (19.0%) had slightly higher percentages of underweight children as compared to Clark County (16.1%) and the Rural Counties (13.4%). 9.8% of children were overweight, and approximately one fifth (21.7%) of the children were considered obese. The Rural counties (23.7%) had slightly higher percentages of obese children as compared to Clark County (21.6%) and Washoe County (20.3%). Even though the percentage of overweight children have declined, the percentage of obese children continues to climb indicating our state should continue to invest in efforts to increase healthy behaviors. Figure 10.1: Child's Weight Status Category (2012-2013 n = 13,284; 2013-2014 n = 607; 2014-2015 n= 12,077 ) 60.0% 55.0% 52.4% 50.0% 49.4% 40.0% 30.0% 20.0% 10.0% 21.7% 19.0% 16.9% 15.7% 14.7% 16.1% 11.1% 18.2% 9.8% 0.0% Underweight Healthy Weight 2012-2013 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey Overweight 2013-2014 Obese 2014-2015 April 2015 Page 36 WEIGHT AND HEALTHY BEHAVIORS When comparing each child’s race/ethnicity with his or her BMI, there are some differences in distributions across weight status categories for each race/ethnicity group. It is important to note that the total number of respondents included in this analysis is even fewer than those in the above statistics on valid BMI’s within the sample, because some respondents did not provide information on race/ethnicity. The distribution of race/ethnicity for children with valid BMIs varies slightly from the race/ethnicity demographics of the survey sample as a whole, with the greatest discrepancy being the percentage of Hispanic children with valid BMI data. Even though respondents who reported that their child was Hispanic make up 33.7% of the total sample, only 20.9% of those with a valid BMI are Hispanic. Figure 10.2 illustrates the race/ethnicity data for children with a valid BMI. Figure 10.2: Race/Ethnicity of Participants with a Valid Body Mass Index (2014-2015: Valid BMI & Valid Race n = 11,876) 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% African Asian/ American/ Pacific Black Islander % w/Valid BMI % Total Sample 5.7% 6.3% 6.3% 6.5% Native American/ Caucasian Hispanic Alaska Native 51.0% 20.9% 0.6% 38.3% 33.7% 1.1% Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey Other Race Multiple Races Total 0.1% 0.1% 15.3% 14.1% 100% 100% April 2015 Page 37 WEIGHT AND HEALTHY BEHAVIORS As seen in Figure 10.3, the differences in BMI across racial/ethnic groups indicates that: The highest percentages of obese children were Native American/Alaska Native children (29.2 percent); however, this is based on a very small sample of Native American/Alaska Native children. Hispanic children (28.9%), children of multiple races (27.4%), and African America/Black children (26.0%) all had obesity rates that were over 25%. Caucasian children had the lowest rates of obesity (16.8%), and African American children had much lower rates of children who were overweight (4.5%) compared to all other racial/ethnic groups listed below. Figure 10.3: Child's Weight Status Category by Child's Race/Ethnicity (2014-2015 n = 11,844 ) 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Underweight Healthy Weight Overweight Obese Total *Total % Valid BMI African American/ Black Asian/ Pacific Islander Caucasian Hispanic 29.9% 39.6% 4.5% 26.0% 100% 5.7% 20.0% 45.4% 13.5% 21.0% 100% 6.3% 14.0% 60.0% 9.2% 16.8% 100% 51.0% 17.4% 42.6% 11.1% 28.9% 100% 20.9% Native American/ Alaska Native 5.6% 50.0% 15.3% 29.2% 100% 0.6% Multiple Races 15.0% 48.2% 9.5% 27.4% 100% 15.1% Race/Ethnicity Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each race/ethnicity category. Other race is not included due to the minimal response rate in that category (.01%). Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 38 WEIGHT AND HEALTHY BEHAVIORS Behaviors Related to Healthy Weight in Young Children Explanations for obesity in young children are related to a number of factors including behavior regiments such as level of physical activity, television viewing, time spent playing video games, and diet. Lower levels of physical activity, increased time spent participating in sedentary behaviors such as watching television and playing video games, and increased consumption of products such as soft drinks have been found to be related to higher BMIs (Delva, Johnston & O’Malley, 2007; Kumanyika, 2008). Therefore, the following questions were included on the Kindergarten Health Survey in order to determine the frequencies of these behaviors among children entering kindergarten. Physical Activity Parents/guardians were asked to report the number of times per week their child is physically active for at least thirty minutes. Over half of the respondents (51.4%) indicated that their child was physically active 6-7 times a week for at least thirty minutes at a time. Figure 10.4 details the relationship between weight status category and amount of physical activity. Overall, as physical activity per week increased, kindergartners were more likely to be in the Healthy Weight Category. Children that were physically active less often (0-3 times per week) were more likely to be overweight or obese, as compared to children that were physically active throughout the week (4-7 times per week). However, only a very small percentage of children (1.4%) with a valid BMI were reported to engage in physical activity 0-1 times a week, and 14.0% reported activity 2-3 times per week. These results are consistent with the findings from the 2013-2014 school year. Figure 10.4: Child's Weight Status Category by Amount of Physical Activity Per Week (2014-2015 n = 11,441 ) 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Underweight Healthy Weight Overweight Obese Total *Total % Valid BMI 0-1 Times Per Week 20.7% 46.3% 5.5% 27.4% 100% 1.0% 2-3 Times Per Week 17.6% 46.0% 12.9% 23.5% 100% 14.0% 4-5 Times Per Week 17.0% 49.5% 11.1% 22.4% 100% 27.0% 6-7 Times Per Week 15.6% 55.0% 8.6% 20.9% 100% 58.0% Amount of Physical Activity Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each category for the amount of physical activity. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 39 WEIGHT AND HEALTHY BEHAVIORS To gain a better understanding of the barriers that parents are facing in regards to providing physical activities for their children, respondents that indicated that their child was physically active one time or less per week, were asked to indicate barriers to them being more physically active. The most frequently reported barrier was weather (46.9%), followed by lack of time and/or a busy work schedule (28.2%), lack of a safe play space which included comments regarding air quality (9.0%), medical conditions (12.5%), preference for electronic media (2.3%), and transportation (1.0%). Please note the response categories are not mutually exclusive; one respondent could have listed multiple barriers. Television Viewing In the current study, the majority of respondents reported that their child watches some television but less than 2 hours during a weekday. The 2011 National Survey of Children's Health reported data regarding the amount of television or videos children ages 1-5 years watch (NSCH, 2011/2012). Compared to the national data: Fewer respondents in the current sample reported that their child did not watch television, which could be due to the age difference in the samples. Fewer respondents in the current sample reported that their child watches 4 or more hours of television. Table 10.3 Average Television Watched During a Weekday (n=28,713) Between 1hr 4 hours or Total % & 4 hrs more Nationwide 6.3% 41.8% 40.3% 11.6% 100.0% Nevada 4.7% 38.9% 41.9% 14.5% 100.0% KHS Data 2.1% 42.5% 49.4% 5.9% 100.0% Note. Nationwide/Nevada data source: NSCH, 2011/2012. Percentages may not add up to 100 due to rounding. None 1 hour or less When comparing the number of hours a child watches television per day with his or her BMI, it appears that as TV viewing time increases, it is less likely that he/she will be of a healthy weight. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 40 WEIGHT AND HEALTHY BEHAVIORS Figure 10.5: Child's Weight Status Category by Hours of Television Watched on Average School Day (2014-2015 n = 10,971 ) 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% None Underweight Healthy Overweight Obese *Total % Valid BMI 12.7% 65.3% 7.7% 14.3% 2.4% Less than 1 1 Hr a Day Hr a Day 16.7% 15.5% 59.6% 55.6% 6.1% 11.5% 17.7% 17.4% 14.9% 33.0% 2 Hrs a Day 16.9% 45.6% 10.9% 26.7% 32.3% 3 Hrs a Day 19.6% 44.3% 9.4% 26.7% 12.7% 4 Hrs a Day 13.1% 58.8% 10.6% 17.4% 3.6% 5+ Hrs a Day 15.6% 40.6% 3.1% 40.6% 1.2% Hours of Television Watched Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each category. Video Game Use According to the 2013 High School Youth Risk Behavior Survey (Office of Public Health Informatics and Epidemiology), 37.9 percent of youths in Nevada used computers 3 or more hours per day for something that was not related to school, which was slightly less than the most recent national average of 41.3 percent (CDC, 2013). To determine similar activity in children entering kindergarten, this same question on video game use was included on the survey starting in the 20112012 school year. 2014-2015 results indicate that the majority of children either do not play video or computer games (30%) or play one hour or less (54%) on an average school day. While these numbers are fairly consistent across all counties, the percentage of children that do not play video games is less in Clark County (28.7%) compared to both Washoe (32.3%) and the Rural (38.6%) counties. When looking at the amount of hours that children play video games per day, the percent of children in the obese category increases as the number of hours of video game play increases. Among those kindergartners that reportedly play two or more hours of video games per day, there is a slightly higher rate of obesity (23.6%) compared to those who reportedly do not play video games (18.9%). Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 41 WEIGHT AND HEALTHY BEHAVIORS Figure 10.6: Child's Weight Status Category by Hours of Video Game Playing on Average School Day (2014-2015 n = 11,142 ) 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% None Underweight Healthy Overweight Obese Total *Total % Valid BMI 16.7% 55.3% 9.2% 18.9% 100% 27.8% Less than 1 Hour a Day 14.5% 53.7% 9.4% 22.4% 100% 30.9% 1 Hour a Day 2 + Hours a Day 17.6% 48.2% 10.4% 23.8% 100% 26.2% 17.4% 47.8% 11.2% 23.6% 100% 15.1% Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each race/ethnicity category. Soda Consumption: Non-Diet Soda According to the 2013 High School Youth Risk Behavior Survey, 16.2 percent of youth in Nevada drank a can, bottle, or glass of non-diet soda/pop at least one time per day, 7 days prior to administration of the survey, which was below the national average of 29.2 percent (Office of Public Health Informatics and Epidemiology). To determine similar activity in children entering kindergarten, this same question on soda consumption was included on the survey starting in the 2011-2012 school year. Results indicate that: The majority of children either did not drink any non-diet soda/pop (60.8%) or drank some a few times per week (29.9%). o These numbers are fairly consistent among Clark and Washoe County and are slightly higher in the Rural Counties (64.1%). 6.8% of respondents reported that their child drank non-diet soda/pop once a day, and 2.5% indicated that their child drank non-diet soda/pop more than once a day. o These proportions are slightly lower in the Rural Counties as compared to the other two counties, and highest in Clark County. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 42 WEIGHT AND HEALTHY BEHAVIORS Figure 10.7 illustrates child’s weight status category by number of non-diet sodas consumed in one week’s time. Of the respondents with kindergartners having a valid BMI, most reported that their child had less than one non-diet soda a day (94.3%). The highest rates of overweight and obesity are seen in children who drank non-diet soda a once day. Figure 10.7: Child's Weight Status Category by Number of Non-Diet Sodas Consumed in a Week (2014-2015 n = 11,211) 60.0% Percent of Respondents 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Underweight Healthy Overweight Obese Total *Total % Valid BMI None A Few Times One a Day 14.8% 55.5% 9.6% 20.1% 100% 67.3% 19.4% 47.4% 9.1% 24.1% 100% 27.0% 20.0% 36.3% 16.3% 27.5% 100% 4.2% More than One a Day 17.5% 55.6% 6.4% 20.5% 100% 1.5% Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each race/ethnicity category. Diet Soda Similarly, the survey asked the parents/guardians to indicate the level of consumption of diet soda products in the past seven days. Although this question was asked on the High School Youth Risk Behavior Survey, this data was not available for comparison at the time of this report. Results indicate that: The majority of children in the current study did not drink any diet soda/pop (87.5%). This percentage was highest in Rural Counties (88.6%) and lower in Clark County (87.8%) and the lowest in Washoe County (85.7%). 10.1 % reported that their child drank diet soda/pop a few times a week, 2% reported daily consumption, and 0.4% reported consumption more than once a day. o In Washoe County, more children drank diet soda/pop a few times a week (11.5%), followed by Clark (9.8%) and Rural Counties (9.5%). Washoe County also reported Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 43 WEIGHT AND HEALTHY BEHAVIORS slightly higher rates of diet soda/pop consumption once a day (2.4%) compared to Clark County (2%) and the Rural Counties (1.6%). When looking at children’s weight status category by number of diet sodas/pop drank in one week, it is difficult to project a relationship given that so few of the respondents reported that their child drank diet soda either once a day or more than once a day. Figure 10.8: Child's Weight Status Category by Number of Diet Sodas Consumed in a Week (2014-2015 n = 11,177) 60.0% Percent of Respondents 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Underweight Healthy Overweight Obese Total *Total % Valid BMI None A Few Times One a Day 16.4% 53.5% 9.5% 20.7% 100% 88.6% 15.1% 42.5% 13.5% 28.9% 100% 9.6% 21.3% 39.1% 13.0% 26.6% 100% 1.5% More than One a Day 0.0% 69.0% 0.0% 31.0% 100% 0.3% Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each race/ethnicity category. Juice Consumption Parents and childcare providers often perceive fruit juice as a healthy alternative to sodas and other sugary beverages for children. Coupled by a wide variety of types of juices available, there has been an increase in the consumption of fruit juices by children over the past 30 to 40 years. Low levels of fiber and high sugar, even in 100% fruit juice, raises health issues for children (Wojcicki, Heyman, 2012). Research has also found that an excessive consumption of fruit juice among children may be a contributing factor to obesity (Wojcicki, Heyman 2012). Because of the current debates over the impact of consumption of juice on children’s health benefits, a question was added in the 2013-2014 survey year. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 44 WEIGHT AND HEALTHY BEHAVIORS Results indicate that: The majority of children in the current study did drink juice a few times a week (43.8%), once a day (26.3) or more than once a day (19.9%). o Clark County reported a higher percentage of children who drank juice more than once a day (20.2%) compared to the Rural Counties (18.3%) and Washoe County (19.4%). 10.0 % reported that their child did not drink juice. o Clark County reported that a higher percentage of children did not drink juice (10.3%) as compared to Rural (9.5%) and Washoe (8.7%) counties. When looking at children’s weight status category by number of juice drinks consumed in one week, it appears that the more juice that is consumed the higher the obesity rates become (Figure 10.8). Even though juice is thought to be a healthy drink, there is a clear trend that as juice consumption increases, the percentage of children in the healthy weight category decreases and the percentage of children in the obese category increases. However, children who are overweight do not demonstrate a consistent pattern. Figure 10.9: Child's Weight Status Category by Number of Juice Drinks Consumed in a Week (2014-2015 n = 11,277) 60.0% Percent of Respondents 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Underweight Healthy Overweight Obese Total *Total % Valid BMI None A Few Times One a Day 13.7% 62.7% 10.6% 13.0% 100% 11.6% 15.9% 53.2% 9.1% 21.8% 100% 43.5% 18.7% 48.7% 9.0% 23.6% 100% 27.0% More than One a Day 15.1% 47.9% 12.0% 25.0% 100% 17.9% Note. * indicates percentages are calculated out of the total number of Valid BMI responses in each race/ethnicity category. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 45 WEIGHT AND HEALTHY BEHAVIORS Infant Feeding Behaviors Breastfeeding has been shown to have many health benefits for both the breastfeeding mother and her child. Breastfeeding has been associated with reduced risk of cancer, diabetes, and postpartum depression in mothers, and reduced risk of ear infections, gastrointestinal issues, allergies, SIDS, obesity, and diabetes in children (United States Department of Health and Human Services, 2011). Starting in 2007, the Centers for Disease Control and Prevention has issued a Breastfeeding Report Card that provides both national and state level data. According to the 2014 report card, Nevada is 1.7 percentage points above the national average (79.2%) for babies who have ever been breastfed, and Nevada is slightly below the national average for exclusive breastfeeding at 6 months (US = 18.8%; NV = 18.0%) but above the national average at 3 months (US = 40.7%; NV = 43.9%) (CDC, 2014a). In order to obtain more detailed information about breastfeeding practices in Nevada, a new question was added to the 2012-2013 survey to determine feeding practices of children entering kindergarten when they were one, three, and six months old. As illustrated in Figure 10.10, 48.3% of respondents indicated that their child was breastfed exclusively at one month old and this percentage declined at both the three and six month time periods. These results are consistent with the data from 20122013. The Healthy People 2020 breastfeeding objectives are to increase the proportion of infants who are breastfed ever (81.9%), and at 6 months nonexclusively (60.6%) (CDC, 2013). According to the 2014-2015 KHS survey, 41.8% of children entering kindergarten in Nevada were breastfed at 6 months nonexclusively, which is a slight decrease from last year (45.8%). This year, we extended the question to include feeding practices at 12 months. Results indicated that 13.9% of respondents breastfed exclusively at 12 months and 30.8% nonexclusively. It is important to note that there are many reasons that a child may not receive breast milk exclusively during the first six months (US Department of Health and Human Services, 2011). The KHS expanded this year to capture information regarding barriers to breastfeeding. Of those who reported barriers (32,163), the most frequently reported barrier was the inability to produce milk (35.4%), followed by medical conditions (allergies, premature birth, etc.; 26.5%), issues latching onto the nipple (14%), and work/school (15.4%). Other barriers (8.7%) included lack of support, foster children, the baby was not gaining enough weight, and breast implants. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 46 WEIGHT AND HEALTHY BEHAVIORS Figure 10.10: Infancy Feeding Habits (2014-2015 1 month n = 20,341 ; 3 months n = 20,436; 6 months n = 16,380; 12 months n = 20,605 ) 60.0% Percent of Respondents 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Breast Only 1 Month 3 Months 6 Months 12 Months 48.3% 34.9% 21.9% 13.9% Breast and Formula 22.2% 24.5% 19.9% 16.9% Formula Only 27.9% 38.5% 46.0% 40.6% Other (e.g. Food) 0.4% 1.0% 10.9% 27.3% Not Sure 1.2% 1.1% 1.3% 1.3% There is mixed literature on the relationship between breastfeeding as a protective factor for obesity. Some research has indicated that breastfeeding has small preventative effects against obesity in children (Gubbels, Thijs, Stafleu, Von Buuren, & Kremers, 2011). Figure 10.11 illustrates child weight status categories by infant feeding behaviors. Children who received breast milk exclusively at all time periods tend to be at a healthy weight and are less likely to be obese, compared to those children who received both breast milk and formula or formula only. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 47 WEIGHT AND HEALTHY BEHAVIORS Figure 10.11: Child Weight Status Category by Infancy Feeding Habits (2014-2015 1 Month n = 8,358 ; 3 Months n = 8,557 ; 6 Months n = 6,575; 12 Months n = 5,234) 70.0% Percent of Respondents 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Underweight Healthy Overweight Obese Total % Valid BMI 1M 17.6% 56.0% 10.7% 15.7% 100% 38.5% 3M 6M Breast Only 16.0% 15.1% 59.8% 62.1% 9.0% 10.2% 15.2% 12.5% 100% 100% 27.9% 13.9% 12M 17.0% 55.8% 10.0% 17.2% 100% 20.5% 1M 3M 6M 12M Breast & Formula 11.7% 17.1% 21.7% 18.1% 53.8% 48.9% 48.4% 46.2% 8.6% 12.7% 9.8% 11.2% 25.9% 21.3% 20.1% 24.6% 100% 100% 100% 100% 32.3% 18.7% 10.9% 22.1% 1M 15.0% 50.5% 10.4% 24.1% 100% 36.8% 3M 6M Formula Only 14.3% 15.0% 53.7% 52.9% 8.6% 8.3% 23.4% 23.8% 100% 100% 28.0% 26.7% 12M 18.3% 50.6% 8.8% 22.3% 100% 57.4% Note. Respondents were also given the response option of Other and Not Sure. However, for the purposes of this graph, those response options were not included because of the low number of responses in each of those categories. Sleep Behaviors Adequate sleep enables healthy brain growth and development, as well as emotional wellbeing in children and adults alike (Sarchiapone, Mandelli, Carli, Iosue, Wasserman, 2014). Research has also shown that inadequate sleep in adults and children has been linked to a number of chronic health issues, including diabetes, cardio vascular disease, obesity and depression (US DHHS National Heart, Lunch and Blood Institute, 2012; Taheri, 2006). The National Sleep Foundation (2011) recommends that children five years of age get no less than 10 hours of sleep each night. For the 2014-2015 report, a new question was included to track the amount of sleep kindergartners are getting per night. Results indicate that on average, children in Nevada are getting the recommended amount of sleep on both the weekdays and the weekends and this data is consistent among Clark, Washoe, and rural counties. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 48 WEIGHT AND HEALTHY BEHAVIORS Table 10. 4 Average Sleep per Night for the State of Nevada n Average Average Weekday Per Night 31,456 10.41 Average Weekend Per Night 28,494 10.59 Standard Deviation (.82) (.96) Though napping is commonly associated with a productive daily routine for young children, recent literature has stated that naps for children over 2 years old contribute to restlessness and poorer sleep at night than children who do not nap during the day (Staton, Smith, Pattinson, & Thorpe, 2015; Lam, Mahone, Mason, & Scharf, 2011; Spittler, 2007). Children require adequate night time sleep in order to support healthy brain growth and development, so the amount of time per day children spend napping on weekends and on weekdays (if at all) was also added to this year’s survey. Therefore, the 2014-2015 survey also inquired about the average number of hours a child naps during the day. Results are as follows: Naps During the Week o 23.2% of respondents indicated that their child took a nap on weekdays For 29% of the data, it could not be determined if the child did or did not take a nap. o The average length of the naps were 1.44 hours (SD=.63) and the range was between .17 hours and 4.5 hours (n = 6,089). o This data is consistent among Clark, Washoe, and rural counties. Naps on the Weekend o 21% of respondents indicated that their child took a nap on the weekend. For 40% of the data, it could not be determined if the child did or did not take a nap. o The average length of the naps were 1.60 hours (SD=.67) and the range was between .25 hours and 4.5 hours (n = 5,716). o This data is also consistent among Clark, Washoe, and rural counties. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 49 APPENDIX A: SUMMARY OF 2014-2015 WEIGHTED SURVEY RESULTS BY COUNTY Table 11.1 below outlines the percentages of responses for the 2014-2015 school year survey results by Clark County, Washoe County, and the Rural Counties. Not all respondents answered every question on the surveys that were returned. All percentages calculated are based on the total weighted number of people answering the question, rather than the total number of people who completed a survey. In addition, percentages are represented by county(ies); therefore percentages will total 100% within each county category and not across all county categories. Table 11.1 Comparison of 2014-2015 Weighted Data by County Survey Indicator Survey Participation State (Percents) -- Demographic Information Gender of Kindergartener Male 49.9 Female 50.1 Race/Ethnicity of Kindergartener African American/Black 6.3 Asian/Pacific Islander 6.5 Caucasian 38.3 Hispanic 33.7 Native American/ Alaska 1.1 Native Other Race 0.1 Multiple Races 14.1 Annual Household Income of Survey Respondents $0-$14,999 17.3 $15,000-$24,999 15.9 $25,000-$34,999 13.1 $35,000-$44,999 8.7 $45,000-$54,999 7.5 $55,000-$64,999 6.3 $65,000-$74,999 5.7 $75,000-$84,999 5.8 $85,000-$94,999 3.9 $95,000+ 15.8 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey Clark County Washoe County Rural Counties (Percents) (Percents) (Percents) 73.6 14.6 11.8 49.9 50.1 49.5 50.5 50.4 49.6 7.9 7.7 33.8 35.0 2.6 4.6 42.4 36.9 0.5 1.1 61.2 21.4 0.4 1.9 4.4 0.1 15.1 0.0 11.5 0.2 11.2 17.7 15.5 12.9 8.3 7.5 6.2 5.8 5.9 3.8 16.4 16.8 18.8 15.2 9.8 7.4 5.3 4.9 5.1 3.9 12.9 14.9 14.6 11.3 10.0 7.9 8.5 5.8 6.1 4.9 15.9 April 2015 Page 50 APPENDIX A: WEIGHTED 2014-2015 SURVEY RESULTS BY COUNTY Table 11.1 continued Survey Indicator State (Percents) Clark County Washoe County Rural Counties (Percents) (Percents) (Percents) 8.5 22.0 3.7 20.9 10.2 25.2 4.9 23.4 0.5 4.2 35.8 2.9 5.7 23.2 3.7 5.2 35.5 12.1 13.8 10.4 8.4 13.1 6.7 30.6 2.55 (1.20) 2.12 (0.85) 32.62 (6.81) 35.53 (7.47) 23.6 20.3 22.9 12.9 6.2 9.9 4.2 25.6 2.52 (1.10) 2.01 (0.63) 32.55 (7.21) 34.94 (7.97) 6.7 44.3 35.4 7.6 2.3 3.7 7.7 53.1 28.2 4.2 3.0 3.8 13.8 19.1 Type of School Child Attended in the Past 12 Months Head Start 5.8 4.9 Other Facility/Center 22.6 22.4 Home-Based 5.1 5.4 School District Preschool 24.2 24.9 University Campus 0.9 0.7 Preschool None/Stayed at Home 33.5 34.0 Friends/Family Care 3.1 3.1 Multiple 4.7 4.5 Average Preschool Hours of Attendance 0 Hours 31.8 31.9 5-10 Hours 17.7 18.6 10-15 Hours 14.4 13.7 15-20 Hours 8.6 7.8 8.4 8.6 20-30 Hours 30-40 Hours 11.5 11.4 More than 40 Hours 7.6 8.1 Single Parent or Guardian 29.9 30.5 Average # of Children in 2.53 2.53 Household (Standard Deviation) (1.20) (1.21) Average # of Adults in Household 2.12 2.14 (Standard Deviation) (0.86) (0.88) Average Age of Mother/Guardian 33.10 33.29 (Standard Deviation) (6.94) (6.91) Average Age of Father/Guardian 35.93 36.17 (Standard Deviation) (7.67) (7.65) Health Insurance Status and Access to Health Care Health Insurance Type Uninsured 7.6 7.8 Private 48.4 48.5 Medicaid 31.3 30.9 Nevada Check-up 6.7 7.0 Other 2.8 2.9 Multiple Types 3.1 2.9 Kindergartner Does NOT Have a 13.6 12.6 Primary Care Provider Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 51 APPENDIX A: WEIGHTED 2014-2015 SURVEY RESULTS BY COUNTY Table 11.1 continued Survey Indicator State (Percents) Clark County Washoe County Rural Counties (Percents) (Percents) (Percents) Types of Barriers Experienced When Trying to Access Healthcare Lack of Transportation 3.4 3.7 2.0 Lack of Insurance 7.3 7.4 6.5 Lack of Quality Medical 5.1 4.5 4.3 Providers Lack of Money/Financial 10.4 10.4 8.5 Resources Other Barriers 1.9 1.6 1.8 Difficulties Accessing Mental 31.8 33.6 22.0 Health Services for Kindergartener Know how to access support 44.0 40.7 50.8 services Applied for insurance for self using 11.6 11.5 11.6 Nevada Health Link Applied for insurance for child 19.2 18.8 21.6 using Nevada Health Link Routine Care and Health of Kindergartner Has Not Had Routine Check-Up 13.0 12.4 13.5 Has Not Visited a Dentist in the 25.2 26.5 18.5 Last Year Amount of Times the Kindergartener Has Gone to the ER for a Non-Life-Threatening Illness or Injury in the Past 12 Months None (0) 79.0 80.1 77.5 1 to 2 19.3 18.5 20.2 3 to 5 1.5 1.4 2.0 6 to 9 0.1 0.0 0.2 10 or More 0.1 0.0 0.1 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 3.0 7.2 10.1 12.5 3.5 34.5 26.7 11.7 18.8 16.5 24.9 74.6 23.2 1.8 0.3 0.1 April 2015 Page 52 APPENDIX A: WEIGHTED 2014-2015 SURVEY RESULTS BY COUNTY Table 11.1 continued Survey Indicator State (Percent) Clark County Washoe County Rural Counties (Percent) (Percent) (Percent) 1.3 11.4 5.5 0.6 0.2 0.2 4.6 0.2 0.2 0.5 0.6 5.2 2.1 17.5 7.7 0.7 0.0 0.2 6.2 0.2 0.8 0.5 0.8 5.0 24.6 30.2 Types of Medical Conditions Seen in Kindergarteners ADD/ADHD 1.3 1.1 Allergies 15.5 15.9 Asthma 6.9 7.1 Autism 0.5 0.5 Cancer 0.1 0.1 Diabetes 0.1 0.1 Glasses/Contacts 4.7 4.5 Hearing Aid/Impairment 0.4 0.4 Mental Health Condition 0.4 0.3 Physical Disability 0.4 0.3 Seizures 0.4 0.2 Other Condition 4.7 4.6 Received a Developmental Screening in past 12 months Weight and Healthy Behaviors 23.2 21.8 Underweight 16.1 16.1 19.0 13.4 Healthy Weight 52.4 52.6 50.7 52.8 Overweight 9.8 9.8 9.9 10.1 Obese 21.7 21.6 20.3 23.7 Amount of Times per Week that Child Has at Least 30 Minutes of Physical Activity 0-1 Times 2.4 2.5 1.8 1.4 2-3 Times 17.6 19.2 12.9 11.2 4-5 Times 28.6 29.5 27.4 21.6 6 or More Times 51.4 48.8 58.0 65.9 Hours of Television Watched on an Average School Day None 2.1 2.1 1.7 3.0 Less than One 12.5 12.0 11.2 20.2 1 Hour 30.0 30.0 29.0 31.8 2 Hours 34.6 34.9 34.6 31.1 3 Hours 14.8 14.9 17.3 9.5 4 Hours 4.1 4.3 4.0 3.1 5 Hours or More 1.8 1.8 2.2 1.3 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 53 APPENDIX A: WEIGHTED 2014-2015 SURVEY RESULTS BY COUNTY Table 11.1 continued Survey Indicator State (Percent) Clark County Washoe County Rural Counties (Percent) (Percent) (Percent) Hours of Video or Computer Games Played on an Average School Day None 30.0 28.7 32.3 Less than One 27.5 27.4 24.9 1 Hour 26.5 27.8 24.6 2 Hours 10.8 10.9 11.7 3 Hours 3.4 3.4 4.5 4 Hours 1.1 1.1 1.4 5 Hours or More 0.7 0.8 0.6 Number of Times Per Week the Kindergartner Drinks Non-Diet Soda None 60.8 61.0 58.1 A Few Times 29.9 29.4 32.9 Once a Day 6.8 7.1 6.3 More Than Once a Day 2.5 2.5 2.7 Number of Times Per Week the Kindergartner Drinks Diet Soda None 87.5 87.8 85.7 A Few Times 10.1 9.8 11.5 Once a Day 2.0 2.0 2.4 More Than Once a Day 0.4 0.5 0.3 Number of Times Per Week the Kindergartner Drinks Juice None 10.0 10.3 8.7 A Few Times 43.8 43.3 45.1 Once a Day 26.3 26.1 26.8 More Than Once a Day 19.9 20.2 19.4 Infancy Eating Habits at One Month Breast Only 48.3 45.8 58.5 Breast and Formula 22.2 23.2 19.4 Formula Only 27.9 29.3 20.6 Other (e.g. food) 0.4 0.5 0.2 Not Sure 1.2 1.2 1.3 Infancy Eating Habits at Three Months Breast Only 34.9 33.2 40.9 Breast and Formula 24.5 24.3 27.8 Formula Only 38.5 40.3 29.5 Other (e.g. food) 1.0 1.1 0.7 Not Sure 1.1 1.0 1.2 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 38.6 33.6 17.9 7.4 1.6 0.6 0.3 64.1 29.4 5.1 1.4 88.6 9.5 1.6 0.3 9.5 45.4 26.8 18.3 52.3 18.7 27.4 0.3 1.2 38.2 22.0 38.1 0.6 1.1 April 2015 Page 54 APPENDIX A: WEIGHTED 2014-2015 SURVEY RESULTS BY COUNTY Table 11.1 continued Survey Indicator State (Percent) Clark County Washoe County Rural Counties (Percent) (Percent) (Percent) 26.1 20.9 41.8 9.7 1.5 22.6 18.2 46.8 10.4 2.0 17.1 19.5 36.8 24.9 1.7 15.1 13.2 36.4 32.8 2.1 10.65 (.86) 10.42 (.74) 10.67 (.95) 10.66 (.88) Infancy Eating Habits at Six Months Breast Only 21.9 20.9 Breast and Formula 19.9 20.0 Formula Only 46.0 46.7 Other (e.g. food) 10.9 11.3 Not Sure 1.2 1.1 Infancy Eating Habits at Twelve Months Breast Only 13.9 13.0 Breast and Formula 16.9 17.0 Formula Only 40.6 41.9 Other (e.g. food) 27.3 26.9 Not Sure 1.3 1.2 Average # Hours of Sleep Per Night on Weekdays 10.41 10.36 (Standard Deviation) (.83) (.81) Average # Hours of Sleep Per Night on Weekends 10.59 10.57 (Standard Deviation) (.96) (.97) Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 55 APPENDIX B: COMPARISON OF WEIGHTED SURVEY RESULTS BY YEAR Table 11.2 below outlines the percentages of responses from the most recent three school year surveys (2012/2013 – 2014/2015). Please note that for each survey year, not all respondents answered every question. All percentages calculated are based on the total weighted number of people answering the question, rather than the total number of people who completed a survey. In addition, the percentages for Table 11.2 represent percentages by year; therefore for each response category, percentages will total 100% within each year and not across all years. Table 11.2: Comparison of 2012-2013 through 2014-2015 Weighted Data 20132012-2013 2014 2014-2015 (Year 5) (Year 6) (Year 7) Survey Indicator (Percent) (Percent) (Percent) Survey Participation by School District Clark County Washoe County Rural Counties Demographic Information Gender of Kindergartener Male Female Race/Ethnicity of Kindergartener African American/Black Asian/Pacific Islander Caucasian Hispanic Native American/Alaska Native Other Race Multiple Races 73.9 14.4 11.7 73.7 14.4 11.9 73.7 14.6 11.8 50.7 49.3 50.9 49.1 49.9 50.1 6.2 6.7 38.1 33.2 6.9 6.6 36.8 33.4 6.3 6.5 38.3 33.7 0.9 1.4 1.1 0.8 14.0 0.8 14.1 0.1 14.1 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 56 APPENDIX B: WEIGHTED SURVEY RESULTS BY SURVEY YEAR Table 11.2 Continued Survey Indicator Annual Household Income of Survey Respondent $0-$14,999 $15,000-$24,999 $25,000-$34,999 $35,000-$44,999 $45,000-$54,000 $55,000-$64,999 $65,000-$74,999 $75,000-$84,999 $85,000-94,999 $95,000 + Type of School Child Attended in the Past 12 Months Head Start Other Facility/Care Home-Based University Campus Pre School School District Preschool None/Stayed at Home Friends/Family Care Multiple Average Preschool Hours of Attendance 0 Hours 5-10 Hours 10-15 Hours 15-20 Hours 20-30 Hours 30-40 Hours More than 40 Hours 2012-2013 (Year 5) (Percent) 2013-2014 2014-2015 (Year 6) (Year 7) (Percent) (Percent) 18.1 15.6 12.9 9.3 8.0 6.3 6.1 6.0 4.0 13.7 18.0 15.4 12.6 9.6 7.6 6.7 6.1 5.5 4.0 14.4 17.3 15.9 13.1 8.7 7.5 6.3 5.7 5.8 3.9 15.8 5.8 24.7 6.6 6.6 21.9 5.8 5.8 22.6 5.1 1.2 19.2 40 2.4 1.1 21.8 35.9 2.8 4 24.2 33.5 3.1 4.7 - 31.6 17.7 15.3 8.9 7.5 11 8 31.8 17.7 14.4 8.6 8.4 11.5 7.6 - 0.9 Note: - Indicates no data available Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 57 APPENDIX B: WEIGHTED SURVEY RESULTS BY SURVEY YEAR Table 11.2 Continued Survey Indicator Single Parent or Guardian Average # of Children in Household (Standard Deviation) Average # of Adults in Household (Standard Deviation) Average Age of Mother/Guardian (Standard Deviation) Average Age of Father/Guardian (Standard Deviation) 2012-2013 (Year 5) (Percent) 29.5 2.54 (1.2) 2.08 (0.81) 33.02 (6.69) 35.7 (7.3) Health Insurance Status and Access to Health Care Health Insurance Type Uninsured 13.6 Private 47.6 Medicaid 23.5 Nevada Check-Up 6.3 Other 6.4 Multiple Types 2.6 Kindergartner Does Not Have a 16.6 Primary Care Provider Types of Barriers Experienced When Trying to Access Healthcare Lack of Transportation 3.0 Lack of Insurance 10.3 Lack of Quality Medical 4.9 Providers Lack of Money/Financial 14.6 Resources Other Barriers 2.3 Respondent Has Experienced Difficulties Attempting to Access Mental Health Services for Kindergartener Knows how to access support services 2013-2014 2014-2015 (Year 6) (Year 7) (Percent) (Percent) 31.2 29.9 2.55 2.53 (1.20) (1.22) 2.09 2.12 (0.86) (0.79) 32.92 33.10 (6.75) (6.94) 35.56 35.93 (7.51) (7.67) 12.6 50.0 25.9 6.5 2.1 2.9 7.6 48.4 31.3 6.7 2.8 3.1 13.6 13.6 3.4 10.1 3.4 7.3 5.2 5.1 13.8 10.4 2.1 1.9 33.0 35.9 31.8 - 43.1 44.0 Note: - Indicates no data available Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 58 APPENDIX B: WEIGHTED SURVEY RESULTS BY SURVEY YEAR Table 11.2 Continued 2012-2013 2013-2014 2014-2015 (Year 5) (Year 6) (Year 7) Survey Indicator (Percent) (Percent) (Percent) Annual Household Income of Uninsured Kindergarteners $0-$14,999 18.2 14.1 23.1 $15,000-$24,999 21.6 20 20.0 $25,000-$34,999 20.5 19 19.8 $35,000-$44,999 16.4 15.7 8.5 $45,000-$54,999 11.7 11.2 11.6 $55,000-$64,999 7.2 11.5 5.6 $65,000-$74,999 4.2 5.1 3.1 $75,000-$84,999 4.2 6.2 3.8 $85,000-94,999 3.0 1.6 1.4 $95,000 + 1.7 2.8 3.2 Race/Ethnicity of Uninsured Kindergarteners African American/Black 5.6 5.7 4.8 Asian/Pacific Islander 7.9 5.7 3.9 Caucasian 24.8 25.3 28.3 Hispanic 49.8 50.3 47.2 Native American/Alaska 0.8 Native 1.6 0.6 Other Race 0.4 0.5 0.1 Multiple Races 10.8 10.8 15.0 Routine Care and Health Status of Kindergartener Kindergartener Has NOT Had 13.4 14.1 13.0 Routine Check-Up In Past Year Kindergartener Has NOT Visited 25.8 26.0 25.2 Dentist in Past Year Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 59 APPENDIX B: WEIGHTED SURVEY RESULTS BY SURVEY YEAR Table 11.2 Continued Survey Indicator 20122013-2014 2014-2015 2013 (Year 6) (Year 7) (Year 5) (Percent) (Percent) (Percent) Amount of Times the Kindergartener Has Gone to the ER for a Non-LifeThreatening Illness or Injury in the Past 12 Months None (0) 80.6 1 to 2 17.9 3 to 5 1.4 6 to 9 0.1 10 or More 0.1 Types of Medical Conditions Seen in Kindergarteners ADD/ADHD 1.4 Allergies Asthma 8.1 Autism 0.4 Cancer 0.0 Diabetes 0.2 Glasses/Contacts 3.5 Hearing Aid/Impairment 0.3 Mental Health Condition 0.3 Physical Disability 0.3 Seizures 0.5 Other Condition 6.6 Received a Developmental Screening in past 12 months Weight and Healthy Behaviors Kindergartener's Weight Status Underweight 15.7 Healthy Weight 55 Overweight 11.1 Obese 18.2 80.0 18.3 1.5 0.2 0.1 19.3 1.5 0.1 0.1 1.3 15.1 7.9 0.6 0.1 0.1 5.1 0.3 0.4 0.4 0.6 5.2 1.3 15.5 6.9 0.5 0.1 0.1 4.7 0.4 0.4 0.4 0.4 4.7 22.5 23.2 15.1 55.0 9.9 20.0 16.1 52.4 9.8 21.7 Note: - Indicates no data available Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 60 APPENDIX B: WEIGHTED SURVEY RESULTS BY SURVEY YEAR Table 11.2 Continued Survey Indicator 2012-2013 (Year 5) (Percent) 2013-2014 2014-2015 (Year 6) (Year 7) (Percent) (Percent) Times A Week Kindergartner Does at Last 30min of Physical Activity 2.5 0-1 Times 2.8 17.1 2-3 Times 17.7 4-5 Times 27.7 27.2 53.3 6 or More Times 51.8 2.4 17.6 28.6 51.4 Hours of Television Watched on an Average School Day None 1.8 Less than One 11.8 1 Hour 28.8 2 Hours 36.8 3 Hours 15.1 4 Hours 3.6 5 Hours or More 2.0 2.1 12.5 30.0 34.6 14.8 4.1 1.8 2.0 12.1 29.2 36.2 14.4 4.2 2.0 Hours of Video or Computer Games Played on an Average School Day None 35.1 31.7 30.0 Less than One 29.3 29.0 27.5 1 Hour 24.1 25.2 26.5 2 Hours 8.6 10.3 10.8 3 Hours 1.8 2.8 3.4 4 Hours 0.7 0.7 1.1 5 Hours or More 0.4 0.4 0.7 Number of Times Per Week the Kindergartner Drinks Non-Diet Soda None 55.6 59.6 A Few Times 33.8 30.7 Once a Day 6.9 6.8 More Than Once a Day 3.7 2.9 Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey 60.8 29.9 6.8 2.5 April 2015 Page 61 APPENDIX B: WEIGHTED SURVEY RESULTS BY SURVEY YEAR Table 11.2 Continued Survey Indicator 2012-2013 (Year 5) (Percent) 2013-2014 2014-2015 (Year 6) (Year 7) (Percent) (Percent) Number of Times Per Week the Kindergartner Drinks Diet Soda None 82.9 85.7 A Few Times 14.2 11.3 Once a Day 2.5 2.4 More Than Once a Day 0.4 0.5 Number of Times Per Week the Kindergartner Drinks Juice None 8.6 A Few Times 40.1 Once a Day 27.7 More Than Once a Day 23.5 Infancy Eating Habits at One Month Breast Only Breast and Formula Formula Only Other (e.g. food) Not Sure Infancy Eating Habits at Three Months Breast Only Breast and Formula Formula Only Other (e.g. food) Not Sure Infancy Eating Habits at Six Months Breast Only Breast and Formula Formula Only Other (e.g. food) Not Sure 87.5 10.1 2.0 0.4 10.0 43.8 26.3 19.9 45.5 21.8 30.6 0.5 1.5 46.1 22.6 29.6 0.4 1.3 48.3 22.2 27.9 0.4 1.2 32.4 24.7 40.9 0.7 1.3 33.3 23.6 41.3 0.7 1.0 34.9 24.5 38.5 1.0 1.1 22.0 22.3 46.8 7.4 1.5 23.1 22.7 46.5 6.4 1.3 21.9 19.9 46.0 10.9 1.2 Note: - Indicates no data available Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2015 Page 62 APPENDIX C: SURVEY INSTRUMENT Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2014 Page 63 APPENDIX C: SURVEY INSTRUMENT Nevada Institute for Children’s Research and Policy, UNLV Results of the 2013-2014 Nevada Kindergarten Health Survey April 2014 Page 64 APPENDIX D: REFERENCES American Academy of Pediatric Dentistry. (2014). Frequently asked question. Retrieved from http://www.aapd.org/resources/frequently_asked_questions/#36 Annie E Casey Foundation. (2013). 2013 Data Book: State Trends of Child Well-Being. Retrieved from http://datacenter.kidscount.org/files/2013kidscountdatabook.pdf Baker, B. L., Neece, C. L., Fenning, R. M., Crnic, K. A., & Blacher, J. (2010). Mental Disorders in Five Year Old Children With or Without Developmental Delay: Focus on ADHD. Journal of Clinical Child and Adolescent Psychology : The Official Journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53, 39(4), 492–505. doi:10.1080/15374416.2010.486321 Basch, C.E. (2010). Healthier Students are Better Learners: A Missing Link in Efforts to Close the Achievement Gap. Retrieved from http://www.equitycampaign.org/i/a/document/12557_EquityMattersVol6_Web 03082010. Pdf Centers for Disease Control and Prevention. (2000). Clinical Growth Charts: Children 2 to 20 years. Retrieved from http://www.cdc.gov/growthcharts/clinical_charts.htm Centers for Disease Control and Prevention. (2011a). About BMI for Children and Teens. Retrieved from http://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html#What is BMI percentile Centers for Disease Control and Prevention. (2011b). Body Mass for Age Tables. Retrieved from http://www.cdc.gov/growthcharts/html_charts/bmiagerev.htm Centers for Disease Control and Prevention. (2013). Youth Risk Behavior Surveillance System: 2013 National Overview. Retrieved from http://www.cdc.gov/mmwr/pdf/ss/ss6304.pdf Centers for Disease Control and Prevention. (2014a). Breastfeeding Report Card – United States, 2014. Retrieved from http://www.cdc.gov/breastfeeding/pdf/2014breastfeedingreportcard.pdf Centers for Disease Control and Prevention. (2014b). Developmental Monitory and Screening. Retrieved from www.cdc.gov/ncbddd/childevelopment/screening.html Child Trends. (2015). Unmet Dental Needs. Retrieved from http://www.childtrends.org/wpcontent/uploads/ 2012/07/82_Unmet_Dental_Needs.pdf Delva, J., Johnston L. D., O’Malley P. M. (2007). The epidemiology of overweight and related lifestyle behaviors: racial/ ethnic and socioeconomic status differences among American youth. American Journal of Preventative Medince, 33, S178-186. DeRigne, L., Porterfield, S., & Metz, S. (2009). The influence of health insurance on parent’s reports of children’s unmet mental health needs. Maternal & Child Health Journal, 13(2), 176-186, doi: 10.1007/s10995-0081346-0 Diedhiou, A., Probst, J. C., Hardin, J. W., Martin, A. B., & Xirasagar, S. (2010). Relationship between presence of reported medical home and emergency department use among children with asthma. Medical Care Research and Review, 67 (4), 450-475. Eide, E. R., Showalter, M. H., & Goldhaber, D. D. (2010). The relation between children’s health and academic achievement. Children and Youth Services Review, 32, 231-238. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2014-2015 Nevada Kindergarten Health Survey April 2014 Page 65 APPENDIX D: REFERENCES Farrington, C.E., Roderick, M., Allensworth, E., Ngoaka, Jl, Keyes, T.S., Johnson, D.W., & Beechum, N.O. (2012) Teaching adolescents to become learners??: The role of noncognitive factors in shaping school performance. University of Chicago Consortium on Chicago School Research. Retrieved from https://ccsr.uchicago.edu/ sites/default/files/publications/Noncognitive%20Report.pdf Ganz, M. L., Wintfeld, N., Li, Q., Alas, V., Langer, J., & Hammer, M. (2014). The association of body mass index with the risk of type 2 diabetes: a case–control study nested in an electronic health records system in the United States. Diabetology & Metabolic Syndrome, 6, 50. doi:10.1186/1758-5996-6-50 Garcia, T. C., Bernstein, A. B., & Bush, M. A. (2010) Emergency department visitors and visits: Who used the emergency room in 2007? NCHS Data Brief, No 38. Hyattsville, MD: National Center for Health Statistics. Gubbels, J. S., Thijs, C., Stafleu, A., Van Buuren, S., & Kremers, S. P. J. (2011). Association of breast-feeding and feeding on demand with child weight status up to 4 years. International Journal of Pediatric Obesity, 6, 515-522. doi: 10.3109/17477166.2010.514343 Haboush, A., Phebus, T., Hensley, S., Teramoto, M., & Tanata, D. (2013). The Impacts of Health Insurance Coverage on Access to Healthcare in Children Entering Kindergarten. Maternal and Child Health Journal. DOI: 10.1007/s10995-013-1420-9 Hammond, C., Linton, D., Smink, J., & Drew, S. (2007). Dropout Risk Factors and Exemplary Programs. Clemson, SC: National Dropout Prevention Center, Communities In Schools, Inc. Hoilette, L. K., Clark, S. J., Gebremariam, A., & Davis, M. M. (2009). Usual source of care and unmet need among vulnerable children: 1998-2006. Pediatrics, 123. Retrieved from http://pediatrics.aappublications.org/content/123/2/e214.full.pdf+html IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp. Iruka, I., & Carver, P. (2011). Initial results from the 2005 NHES early childhood program participation survey (NCES 2006-075). Washington, DC: US. Retrieved from http://files.eric.ed.gov/fulltext/ED492625.pdf Kumanyika, S. (2008). Environmental influences on childhood obesity: Ethnic and cultural influences in context. Physiological Behavior, 94, 61-70. Lam, J. C., Mahone, E. M., Mason, T. A., & Scharf, S. M. (2011). The effects of napping on cognitive function in preschoolers. Journal of Developmental and Behavioral Pediatrics, 32(2), 90-97. doi:10.1097/DBP.0b013e318207ecc7 Liu, J., Probst, J., Martin, A. B., Wang, J., & Salinas, C. F. (2007). Disparities in dental insurance coverage and dental care among US children: The national survey of children’s health. Pediatrics, 119, S12-S21. McGroder, S. M. (1988). A Synthesis of Research on Child Care Utilization Patterns. Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services. Retrieved from http://aspe.hhs.gov/daltcp/reports/ccressyn.pdf Nevada Report Card (2015) Demographic Profile 2013-2014. Retrieved from http://www.nevadareportcard.com. Nevada State Demographer (2013) Nevada County, Age, Sex, Race, and Hispanic Origin, Estimates and Projections 2000-2032.Reno, NV. Retrieved from http://nvdemography.org/wp-content/uploads/2014/06/2013Nevada-Summary-Workbook-ASRHO-Estimates-and-Projections-REV-051614-B.pdf . National Survey of Children's Health. NSCH 2011/12. Data query from the Child and Adolescent Health Measurement Initiative, Data Resource Center for Child and Adolescent Health website. Retrieved from www.childhealthdata.org. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2013-2014 Nevada Kindergarten Health Survey April 2014 Page 66 APPENDIX D: REFERENCES Newport, F., & Mendes, E. (2009). About one in six U.S. adults are without health insurance. Retrieved from http://www.gallup.com/poll/121820/one-six-adults-without-health-insurance.aspx. Office of Public Health Informatics and Epidemiology. Division of Public and Behavioral Health. 2013 Nevada Youth Risk Behavior Survey. Carson City, Nevada. February 2014. Ogden, C.L., Carroll M.D., Kit, B.K., Flegal,K.M. (2014). Prevalence of childhood and adult obesity in the United States, 2011-2012. Journal of the American Medical Association 311(8): 806-814 Radley, D. C., McCarthy, D., Lippa J. A., Hayes, S. L., & Schoen, C. (2014). Aiming Higher: Results from a scorecard on state health system performance. New York: The Commonwealth Fund. Retrieved from http://www.commonwealthfund.org/~/media/Files/Publications/Fund%20Report/2014/Apr/1743_Radley_a iming_higher_2014_state_scorecard_FINAL.pdf Sarchiapone , M. , Mandelli L., Carli, V. , Iosue, M., Wasserman, C. (2014) Hours of sleep in adolescents and its association with anxiety, emotional concerns, and suicidal ideation. Sleep Medicine (15) 2 (248-254). Sawhill I., & Karpilow Q. (2014). How much could we improve children’s life chances by intervening early and often? Center on Children and Families at the Brookings Institution. Retrieved May 8, 2015, from http://www.brookings.edu/~/media/research/files/papers/2014/07/improve_child_life_chances_intervention s_sawhill/improve_child_life_chances_interventions_sawhill.pdf Seirawan, H., Faust S., & Mulligan, R. (2012). The Impact of Oral Health on the Academic Performance of Disadvantaged Children. American Journal of Public Health 102 (9), 1729-1734. DOI: 10.2105/AJPH.2011.300478 Shi, L., Samuels, M. E., Pease, M., Bailey, W. P., & Corley, E. H. (1999). Patient characteristics associated with hospitalizations for ambulatory care sensitive conditions in South Carolina. Southern Medical Journal 92(10), 989-998. Spittler, K. L. (2007). Napping and Insufficient Sleep Lead to Poor Problem-Solving Skills in Children. Neurology Reviews, 15(10), 13. Starfield, L., Lieyu, S. (2004). The Medical Home, Access to Care and Insurance: A Review of Evidence. Pediatrics, 11 Starfield, B., Shi, L. & Macinko, J. (2005). Contribution of primary care to health systems and health. The Milbank Quarterly, 83 (3), 457-502. Staton, S. L., Smith, S. S., Pattinson, C. L., & Thorpe, K. J. (2015). Mandatory naptimes in child care and children's nighttime sleep. Journal of Developmental and Behavioral Pediatrics, 36(4), 235-242. doi:10.1097/DBP.0000000000000157 Taheri, S. (2006). The link between short sleep duration and obesity: we should recommend more sleep to prevent obesity. Archives of Disease in Childhood,91(11), 881–884. doi:10.1136/adc.2005.093013 Taras, H., & Potts-Datema, W. (2005). Chronic health conditions and student performance at school. Journal of School Health, 75 (7) 255-266. The Kaiser Family Foundation. (2012). Uninsured Rates of the Non-Elderly by Race/Ethnicity. Retrieved from http://kff.org/uninsured/state-indicator/rate-by-raceethnicity/ The Kaiser Family Foundation (2013). Health Coverage for the Hispanic Population Today & Under the Affordable Care Act. Retrieved from https://kaiserfamilyfoundation.files.wordpress.com/2013/04/84321.pdf Nevada Institute for Children’s Research and Policy, UNLV Results of the 2013-2014 Nevada Kindergarten Health Survey April 2014 Page 67 APPENDIX D: REFERENCES The Kaiser Family Foundation. (2014). Employer Health Benefits Survey 2014 Annual Report. Retrieved from http://files.kff.org/attachment/2014-employer-health-benefits-survey-full-report The Kaiser Family Foundation State Health Facts. Data Source: Census Bureau’s March 2010 and 2011 Current Population Survey (CPS: Annual Social and Economic Supplements). Health Insurance Coverage of Children 0-18, states (2010-2011), U.S. (2011). Retrieved from http://kff.org/other/state-indicator/children0-18/ United States Census Bureau. (2013). American Community Survey: Percent of Children Without Health Insurance Coverage. Retrieved from http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_12_1YR_GCT2702 .US01PR&prodType=table United States Census Bureau. (2012b). State and County QuickFacts. Data derived from Population Estimates, American Community Survey, Census of Population and Housing, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits. Retrieved from http://quickfacts.census.gov/qfd/states/32000.html US Department of Health and Human Services, National Heart, Lung and Blood Institute, (2012), Why is sleep important?. Retrieved from http://www.nhlbi.nih.gov/health/health-topics/topics/sdd/why United States Department of Health and Human Services' Office on Women's Health. (2011). Your guide to breastfeeding. Retrieved from http://www.womenshealth.gov/publications/ourpublications/breastfeeding-guide/BreastfeedingGuide-General-English.pdf United States Department of Health and Human Services' Office on Women's Health. (2014). Why Breastfeeding is Important Retrieved from http://www.womenshealth.gov/breastfeeding/breastfeeding-benefits.htm Wojcicki, J. M., & Heyman, M. B. (2012). Reducing Childhood Obesity by Eliminating 100% Fruit Juice. American Journal of Public Health, 102(9), 1630–1633. doi:10.2105/AJPH.2012.300719 Yeung, R., Gunton, B., Kalbacher, D., Seltzer, J., & Wesolowski, H. (in press). Can health insurance reduce school absenteeism? Education and Urban Society. Nevada Institute for Children’s Research and Policy, UNLV Results of the 2013-2014 Nevada Kindergarten Health Survey April 2014 Page 68