Family child care home providers' self-reported nutrition and physical activity practices, self-efficacy, barriers and knowledge: baseline findings from happy healthy homes.

OBJECTIVE: Describe nutrition and physical activity practices, nutrition self-efficacy and barriers and food programme knowledge within Family Child Care Homes (FCCH) and differences by staffing. DESIGN: Baseline, cross-sectional analyses of the Happy Healthy Homes randomised trial (NCT03560050). SETTING: FCCH in Oklahoma, USA. PARTICIPANTS: FCCH providers (n 49, 100 % women, 30·6 % Non-Hispanic Black, 2·0 % Hispanic, 4·1 % American Indian/Alaska Native, 51·0 % Non-Hispanic white, 44·2 ± 14·2 years of age. 53·1 % had additional staff) self-reported nutrition and physical activity practices and policies, nutrition self-efficacy and barriers and food programme knowledge. Differences between providers with and without additional staff were adjusted for multiple comparisons (P < 0·01). RESULTS: The prevalence of meeting all nutrition and physical activity best practices ranged from 0·0-43·8 % to 4·1-16·7 %, respectively. Average nutrition and physical activity scores were 3·2 ± 0·3 and 3·0 ± 0·5 (max 4·0), respectively. Sum nutrition and physical activity scores were 137·5 ± 12·6 (max 172·0) and 48·4 ± 7·5 (max 64·0), respectively. Providers reported high nutrition self-efficacy and few barriers. The majority of providers (73·9-84·7 %) felt that they could meet food programme best practices; however, knowledge of food programme best practices was lower than anticipated (median 63-67 % accuracy). More providers with additional staff had higher self-efficacy in family-style meal service than did those who did not (P = 0·006). CONCLUSIONS: Providers had high self-efficacy in meeting nutrition best practices and reported few barriers. While providers were successfully meeting some individual best practices, few met all. Few differences were observed between FCCH providers with and without additional staff. FCCH providers need additional nutrition training on implementation of best practices.

Home food access and children's heart healthy dietary intake at home and child care.

Background: About 12 million children under 5 years of age attend early care and education centers (ECEs). Child intake at home can be impacted by food insecurity, which is higher among low income, rural, and racially diverse families. Aim: Determine whether greater access to fruits, vegetables, and snacks at home was associated with heart-healthy diet score at home and at ECEs in preschool-age children, and to determine whether there is a difference in heart-healthy diet score between home and ECEs. Methods: Cross-sectional study involving children (3-to-5-year-old, n = 88) who attended 16 licensed ECEs across Oklahoma. Caregivers completed the Healthy Home Survey and 3-Dinner Dietary recall to report children's home food access and home dinner dietary intake, respectively. Researchers recorded children's ECE lunch consumption using the Dietary Observation for Child Care. Heart-healthy diet score was derived from composite scores for six variables: consumption of fish, fruits, vegetables, sodium, fiber, and sugary drinks. Results: Home access to total fruits and vegetables (16.2 ± 6.3) outnumbered snacks (5.5 ± 3.0). No difference in composite heart-healthy diet score between ECEs (1.50 ± 0.8) and home (1.27 ± 0.9, P = 0.0851). Children within neither environment met recommendations for most variables (vegetables [18-24%], fruit [6-10%], fish [5-10%], fiber [1%], sodium [22-39%]). No relationship between home food access variables and the heart-healthy diet scores at home or ECEs. Conclusion: Dietary intake of children at home and ECEs does not meet heart-healthy diet score recommendations. Interventions should support preschool aged children from families that are located rurally, low-income, racial minorities, and whose primary caregivers work outside the home.

Associations between health-related family environment and objective child sleep quality.

AIM: This study aimed to assess the relationship between the family environment and behaviours with objective child sleep quality. METHODS: Twenty-four children (aged 2-5 years) and their parents participated. Child sleep was assessed by accelerometer. Health of the family environment was quantified using the Family Nutrition and Physical Activity Screening Tool (FNPA). Exact Wilcoxon rank sum tests and linear regression were used to determine associations between FNPA scores and child sleep. RESULTS: Healthier Total FNPA, Physical Activity FNPA, and Sleep Routine scores were associated with earlier bedtime. Healthier Sleep Routine score was associated with more total minutes of sleep per night. Healthier screen time-related FNPA construct scores were associated with earlier bedtime. CONCLUSIONS: A composite score of family environment and behaviours, including physical activity- and nutrition-related constructs, was related to child sleep quality. Focus should be placed on the obesogenic family environment and healthy sleep routines to promote overall health among pre-school-aged populations.

The effect of the food environment on fresh produce served in family child care homes.

BACKGROUND: Higher produce consumption in childhood decreases risks of short- and long-term malnutrition, obesity, and disease. Children in early care programs, including family child care homes (FCCHs), receive 50-67% of daily nutrition while in care. Procuring nutritious foods requires grocer access, which is absent in food deserts (FDs). AIM: To determine if FCCH food environment (FE) impacted distance to grocers and amount of fresh produce served. METHODS: Using a cross-sectional design, Modified Retail Food Environment Index scores determined census tract FD status. FCCH and grocer addresses were geocoded and distance to the nearest grocers was calculated. Fresh produce was observed during two lunches. RESULTS: FE did not influence distance to grocers or fresh produce served. Non-desert FCCHs tended to serve fresh produce more frequently. The amount of fresh produce served was overall low. CONCLUSION: Further studies are warranted to inform policies aimed to reduce provider barriers regarding service of fresh produce.

Difference in Objectively Measured Physical Activity and Obesity in Children With and Without Siblings.

Background/Context: Children without siblings (singletons) have higher rates of obesity than do children with siblings (nonsingletons). Higher moderate to vigorous physical activity (PA) and less sedentary behavior (SB) are associated with lower childhood obesity. PURPOSE: To examine the difference in PA and SB between singleton and nonsingleton children. METHODS: Mothers of children ages 5.0-7.9 years old who were singletons or nonsingletons with a sibling between the ages of 2.0 and 4.9 years old were recruited. Height, weight, and waist circumference of the 5.0- to 7.9-year-old children were measured, and age and sex percentiles were calculated. Accelerometry measured SB and PA, including light PA, moderate to vigorous PA, and counts per minute. RESULTS: Fifty-six mother-child dyads (23 singletons and 33 nonsingletons) with an average child age of 5.7 (0.7) years participated. More singletons were classified as overweight or obese than were nonsingletons (49% vs 17%, P = .04). In adjusted linear models, singletons had less light PA per day (ß = -38.1, SE = 19.2, P = .001) and more SB (ß = 38.0, SE = 16.5, P = .02) than did nonsingletons, with no difference in moderate to vigorous PA or counts per minute. CONCLUSION: In this sample, singletons had higher obesity and lower light PA than did nonsingleton children. Investigation into differences in singleton/nonsingleton families, including family health behaviors, may help assess sibling influence in early behavior development.

Mothers' self-reported grocery shopping behaviours with their 2- to 7-year-old children: relationship between feeding practices and mothers' willingness to purchase child-requested nutrient-poor, marketed foods, and fruits and vegetables.

OBJECTIVE: To assess relationships between mothers' feeding practices (food as a reward, food for emotion regulation, modelling of healthy eating) and mothers' willingness to purchase child-marketed foods and fruits/vegetables (F&V) requested by their children during grocery co-shopping. DESIGN: Cross-sectional. Mothers completed an online survey that included questions about feeding practices and willingness (i.e. intentions) to purchase child-requested foods during grocery co-shopping. Feeding practices scores were dichotomized at the median. Foods were grouped as nutrient-poor or nutrient-dense (F&V) based on national nutrition guidelines. Regression models compared mothers with above-the-median v. at-or-below-the-median feeding practices scores on their willingness to purchase child-requested food groupings, adjusting for demographic covariates. SETTING: Participants completed an online survey generated at a public university in the USA. SUBJECTS: Mothers (n 318) of 2- to 7-year-old children. RESULTS: Mothers who scored above-the-median on using food as a reward were more willing to purchase nutrient-poor foods (ß=0·60, P<0·0001), mothers who scored above-the-median on use of food for emotion regulation were more willing to purchase nutrient-poor foods (ß=0·29, P<0·0031) and mothers who scored above-the-median on modelling of healthy eating were more willing to purchase nutrient-dense foods (ß=0·22, P<0·001) than were mothers with at-or-below-the-median scores, adjusting for demographic covariates. CONCLUSIONS: Mothers who reported using food to control children's behaviour were more willing to purchase child-requested, nutrient-poor foods. Parental feeding practices may facilitate or limit children's foods requested in grocery stores. Parent-child food consumer behaviours should be investigated as a route that may contribute to children's eating patterns.

Association Between Maternal Stress, Work Status, Concern About Child Weight, and Restrictive Feeding Practices in Preschool Children.

Objectives To examine the relationship between maternal stress, work status, concern about child weight, and the use of restrictive feeding practices among mothers of preschool children. Methods 285 mothers of 2-to-5-year-old children completed an on-line survey. Questions included demographics, items from the Depression Anxiety Stress Scale, and the Child Feeding Questionnaire. Linear regression and ANOVA examined the relationship between maternal stress, work hours, concern about child weight, and the use of restrictive practices for one 2-to-5-year-old child living within the home. Results Mothers were 32.6 ± 5.2 years of age and spent 39.7 ± 12.0 h/week at work. Seventy-one percent worked full time. Children were 3.4 ± 1.0 years of age and 51% male. Stress (3.41 ± 0.77, p ≤ 0.001) and concern about child weight (3.41 ± 0.77, p ≤ 0.00) were associated with the use of restrictive feeding practices. Mothers with severe/extremely severe stress used restriction more than mothers with normal stress, respectively (3.63 ± 0.80, 3.30 ± 0.81, p = 0.03). No difference was found among mothers with mild/moderate stress (3.50 ± 0.63, p = 0.06). There was no association between work hours (p = 0.50) or work status (p = 0.91) and the use of restrictive feeding practices. Conclusions Maternal stress and concern about child weight were associated with the use of restrictive feeding practices. Considering the current rates of childhood obesity in the United States, understanding factors that influence a child's food environment is advantageous and can help improve maternal and child health.

Obesity prevention and obesogenic behavior interventions in child care: A systematic review.

OBJECTIVE: Review peer-reviewed interventions designed to reduce obesity and improve obesogenic behaviors, including physical activity, diet, and screen time, at child care centers. Interventions components and outcomes, study design, duration, use of behavioral theory, and level of social ecological influence are detailed. METHODS: Article searches were conducted from March 2014, October 2014, March 2015, January 2016 across three databases. Eligible interventions were conducted in child care settings, included 3-to-5-year-old children, included an outcome measure of obesity or obesogenic behavior, and published in English. Study design quality was assessed using Stetler's Level of Quantitative Evidence. RESULTS: All unique records were screened (n=4589): 237 articles were assessed for eligibility. Of these, 97 articles describing 71 interventions met inclusion criteria. Forty-four articles included multi-level interventions. Twenty-nine interventions included an outcome measure of obesity. Forty-one interventions included physical activity. Forty-five included diet. Eight included screen time. Fifty-five percent of interventions were Level II (randomized controlled trials), while 37% were Level III (quasi-experimental or pre-post only study design), and 8% were Level IV (non-experimental or natural experiments). Most interventions had the intended effect on the target: obesity 48% (n=14), physical activity 73% (n=30), diet 87% (n=39), and screen time 63% (n=5). CONCLUSION: Summarizing intervention strategies and assessing their effectiveness contributes to the existing literature and may provide direction for practitioners and researchers working with young children in child care. Most interventions produced the targeted changes in obesity and obesity-associated behaviors, supporting current and future efforts to collaborate with early-care centers and professionals for obesity prevention.

Macronutrient and micronutrient intakes of children in Oklahoma child-care centres, USA.

OBJECTIVE: To determine macronutrients and micronutrients in foods served to and consumed by children at child-care centres in Oklahoma, USA and compare them with Dietary Reference Intakes (DRI). DESIGN: Observed lunch nutrients compared with one-third of the age-based DRI (for 1-3 years-olds and 4-8-year-olds). Settings Oklahoma child-care centres (n 25), USA. SUBJECTS: Children aged 3-5 years (n 415). RESULTS: Regarding macronutrients, children were served 1782 (sd 686) kJ (426 (sd 164) kcal), 22·0 (sd 9·0) g protein, 51·5 (sd 20·4) g carbohydrate and 30·7 (sd 8·7) % total fat; they consumed 1305 (sd 669) kJ (312 (sd 160 kcal), 16·0 (sd 9·1) g protein, 37·6 (sd 18·5) g carbohydrate and 28·9 (sd 10·6) % total fat. For both age-based DRI: served energy (22-33 % of children), protein and carbohydrate exceeded; consumed energy (7-13 % of children) and protein exceeded, while carbohydrate was inadequate. Regarding micronutrients, for both age-based DRI: served Mg (65·9 (sd 24·7) mg), Zn (3·8 (sd 11·8) mg), vitamin A (249·9 (sd 228·3) µg) and folate (71·9 (sd 40·1) µg) exceeded; vitamin E (1·4 (sd 2·1) mg) was inadequate; served Fe (2·8 (sd 1·8) mg) exceeded only in 1-3-year-olds. Consumed folate (48·3 (sd 38·4) µg) met; Ca (259·4 (sd 146·2) mg) and Zn (2·3 (sd 3·0) mg) exceeded for 1-3-year-olds, but were inadequate for 4-8-year-olds. For both age-based DRI: consumed Fe (1·9 (sd 1·2) mg) and vitamin E (1·0 (sd 1·7) mg) were inadequate; Mg (47·2 (sd 21·8) mg) and vitamin A (155·0 (sd 126·5) µg) exceeded. CONCLUSIONS: Lunch at child-care centres was twice the age-based DRI for consumed protein, while energy and carbohydrate were inadequate. Areas of improvement for micronutrients pertain to Fe and vitamin E for all children; Ca, Zn, vitamin E and folate for older pre-schoolers. Adequate nutrients are essential for development and the study reveals where public health nutrition experts, policy makers and care providers should focus to improve the nutrient density of foods.

Assessment of Body Mass Index, Sugar Sweetened Beverage Intake and Time Spent in Physical Activity of American Indian Children in Oklahoma.

American Indian (AI) children have a combined overweight and obesity prevalence of 53%. Behaviors that contribute to obesity, such as sugar sweetened beverage (SSB) intake and time spent in physical activity (PA), have been poorly explored in this population. The purpose of this study is to report body mass index (BMI), SSB intake, and time spent in PA of 7-to-13-year-old AI children who reside in rural and urban areas in Oklahoma. Cross-sectional survey study. Self-reported SSB intake in the last month, and time spent in PA were collected via questionnaires. Height and weight were professionally measured. The sample included 124 7-to-13-year-old AI children who attended a diabetes prevention summer camp in 2013. BMI percentile, overweight and obesity prevalence, SSB intake, time spent in PA, and number of participants meeting the Physical Activity Guidelines for Americans. Descriptive characteristics for BMI percentile, overweight and obesity, SSB intake, time spent in PA, and meeting PA recommendations were calculated using means, standard deviations, and frequencies. Independent t test and Chi square analyses were used to test for gender differences. Participants were 10.2 ± 1.5 years old and 57% female. Sixty-three percent were overweight or obese. Children consumed 309 ± 309 kcal/day of SSB and spent 4.4 ± 3.8 h per week in moderate-to-vigorous PA. Approximately 32% met the 2008 Physical Activity Guidelines for Americans. No gender differences were observed. The prevalence of overweight and obesity was higher than previously reported in a similar population, and higher than that of US children in the general population. SSB intake and physical activity levels were also found to be higher in this group than in the general population.

Influence of family structure on obesogenic behaviors and placement of bedroom TVs of American children: National Survey of Children's Health 2007.

OBJECTIVE: To explore the relation between family structure and obesogenic attributes. METHODS: Publicly available data from the 2007 National Survey of Children's Health (n=55,094; 11.6 ± 0.04 years; 51.2% male) was analyzed in fall 2012. Predictor variables included marital status (two-parent biological [referent], two-parent blended, single-mother, and other) and number of children. Outcome variables included the presence of a bedroom television (BTV), elevated television (TV) viewing time, insufficient physical activity, and infrequent family meals. RESULTS: Analysis of family structure revealed 63% biological, 11% blended, and 20% single-mother families. Twenty-three percent of children did not have siblings. When family structure variables were considered independently, children in blended (odds ratio (OR): 1.75; 95% confidence interval (CI) 1.45, 2.10) and single-mother homes (1.49; 1.28, 1.74) had higher odds of BTV. Children in blended families had higher odds of elevated TV viewing time (1.28; 1.08, 1.51). Single-mother homes had higher odds of infrequent family meals (1.28; 1.07, 1.52). Families with ≥ 2 children were less likely to have BTV (0.60; 0.54, 0.66) or elevated TV viewing time (0.74; 0.67, 0.82), and to irregularly dine together (0.89; 0.80, 0.99). CONCLUSION: Diverse family structure was associated with more obesogenic behaviors and environments. The presence of siblings diminished, but did not eliminate, the risk.

Height and Weight Measurement and Communication With Families in Head Start: Developing a Toolkit and Establishing Best Practices.

Background: Head start (HS) programs are required to collect children's height and weight data. Programs also communicate these results to families. However, no standardized protocol exists to guide measurements or communicate results. The purpose of this article was to describe the development of a measurement toolkit and best practices for communication. Methods: HS programs contributed to the development and pilot testing of a toolkit for HS staff to guide child measurement. We used a three-phase iterative approach and qualitative methods to develop and test the toolkit, which included a video and handout. In addition, we convened an advisory group to draft best practices for communication. Results: HS program staff appreciated the toolkit materials for their simplicity and content. The advisory group highlighted the importance of weight stigma and the need to be cautious in the way that information is communicated to families. The group underscored the role of emphasizing health behavior change, instead of focusing solely on BMI. Best practices were organized into (1) Policies and procedures for communicating screening results, (2) training for HS program staff to improve communication related to screening and health behaviors, and (3) other best practices to promote health behaviors and coordinate data systems. Conclusions: Our toolkit can improve anthropometric measurements of HS to ensure that potential surveillance data are accurate. Advisory group best practices highlight opportunities for HS to develop and implement policies, procedures, and trainings across the country to improve communication with HS families. Future research should test the implementation of these best practices within HS.

Light activity following a meal and postprandial cardiometabolic risk in adolescents.

The purpose of this study was to determine if light physical activity (LPA) minimizes the impairment of cardiometabolic risk factors following a typical meal in adolescents. Eighteen adolescents (50% male, 14.8 ± 2.3 yrs) consumed a meal (32% fat, 14% protein, 53% carbohydrate), then completed a walking (1.5 mph for 45 min of each hour) or sitting treatment for 3 hr in randomized order on separate days. Following the meal, HDL cholesterol declined 4.8% but remained higher during walking at 3 hr (42.1 mg/dl ± 9.3) than sitting (8.4% decline; 40.5 mg/dL ± 9.9; treatment x time interaction, p < .03). The 3-hr insulin was lower after walking (24.8 µIU/ml ± 33.4) than sitting (37.8 µIU/ml ± 34.7; treatment x time interaction, p < .0001). Triglycerides increased by ~40% above baseline at 1 and 2 hr, with higher values for walking (treatment x time interaction, p < .02). However by 3 hr, triglycerides were not different from baseline. Area under the curve (AUC) analyses were not significantly different between treatments for any outcomes. Although minor, LPA appears to mitigate the undesirable postprandial changes in HDL cholesterol and insulin but not triglycerides, following a typical meal in adolescents.

Predictors of Overweight and Obesity in Early Care and Education Teachers during COVID-19.

The purpose of this cross-sectional study was to determine individual, sociocultural, policy, and economic predictors of overweight/obesity in early care and education (ECE) teachers to identify modifiable opportunities to enhance the health of this critical workforce. ECE teachers (n = 1434) in the U.S. completed an online survey in late spring to mid-summer 2020. Teachers self-reported height and weight; body mass index (BMI) and weight status were calculated. Teachers reported micro-environment variables including age, race, gender, obesogenic lifestyle behaviors, well-being, food security, personal health, stress, job stress, type of ECE, COVID-19 teaching modality, and age of children in the classroom. Logistic regression predicting overweight/obesity and linear regression predicting BMI were conducted. Teachers with more years of teaching experience (OR: 1.022: 95% CI 1.005, 1.039) and higher consumption of fast food (2.038: 1.310, 3.169) had higher odds of overweight/obesity. Teachers with higher levels of education (0.58: 0.407, 0.828) and higher physical health (0.836: 0.775, 0.902) had lower odds of overweight/obesity. Other variables were not associated with overweight/obesity. Variables significant in logistic regression were also associated with higher BMI. Additionally, Native American race (ß = 2.467 SE = 1.206) and sedentary hours/day (ß = 0.152 SE = 0.075) were associated with higher BMI. Implications for enhancing workplace health for these ECE teachers are emerging.

Changes in Meal and Menu Quality at Early Care and Education Programs after Training with Food Service Staff: the FRESH Study.

Background: Prevalence of obesity in Native American (NA) children is disproportionately high, indicating a higher risk of health disparities. Many children attend early care and education (ECE) programs, presenting an opportune environment to improve meal and menu quality as the intake of healthy foods is associated with lowered risk of childhood obesity. Objectives: We aimed to examine the effectiveness of food service staff training on meals and menu quality across NA ECEs. Methods: Food service staff from 9 participating ECE programs attended a 3-h training focused on Child and Adult Care Food Program (CACFP) best practices, and received a tailored, best-practice menu, and healthy recipes. Meals and menus prepared across 1 wk were examined per CACFP serving size assumptions at baseline, 4 mos, 6 mos, and 12 mos for all 9 programs. Healthy Eating Index (HEI), CACFP requirements and best practices achievement, and food substitutions quality (classified into superior, equivalent, and inferior based on the nutritional quality) were calculated. A repeated measures ANOVA model was used to determine the differences across time points. Results: The total meal HEI score increased significantly from baseline to 4 mos (71.1 ± 2.1; 78.6 ± 5.0; P = 0.004), but did not differ from baseline to 12 mos. Menu CACFP requirements and best practices achievement did not differ across time points, although achievement with CACFP requirements was already high at baseline. Superior nutrition quality substitutions declined from baseline to 6 mos (32.4 ± 8.9; 19.5 ± 10.9; P = 0.007); however, it did not differ from baseline to 12 mos. Equivalent and inferior quality substitutions did not differ across time points. Conclusions: Implementing a best-practice menu with healthy recipes showed immediate improvements in meal quality. Although the change did not sustain, this study showed evidence of an opportunity to educate and train food service staff. Robust efforts are needed for improving both meals and menus.This trial was registered ClinicalTrials.gov as NCT03251950 (https://clinicaltrials.gov/ct2/show/NCT03251950?cond=food+resource+equity&draw=2&rank=1).

Systematic Review of Reflection Spectroscopy-Based Skin Carotenoid Assessment in Children.

Assessing children's skin carotenoid score (SCS) using reflection spectroscopy (RS) is a non-invasive, widely used method to approximate fruit and vegetable consumption (FVC). The aims for the current review were to (1) identify distributions of SCS across demographic groups, (2) identify potential non-dietary correlates for RS-based SCS, (3) summarize the validity and reliability of RS-based SCS assessment, and (4) conduct meta-analyses of studies examining the correlation between RS-based SCS with FVC. A literature search in eight databases in June 2021 resulted in 4880 citations and peer-reviewed publications written in English that investigated children's (2-10 years old) SCS using RS. We included 11 studies (intervention = 3, observational = 8). Potential covariates included weight status, ethnicity, seasonal variation, age, sex, and income. Studies reported criterion validity with children's FVC but not with plasma carotenoid. Additionally, no studies reported the reliability of RS-based SCS in children. Among the 726 children included in the meta-analysis, the correlation between RS-based SCS and FVC was r = 0.2 (p < 0.0001). RS-based SCS is a valid method to quantify skin carotenoids for children's FVC estimation with the potential for evaluating nutrition policies and interventions. However, future research should use standardized protocol for using RS and establish how RS-based SCS can translate to the amount of daily FVC in children.

Accuracy of Parent-Measured Weight and Height of Preschool Children at Home With Increasing Levels of Instruction.

Background: The purpose of this study was to determine how accurately parents measure their preschool child's weight and height with increasing levels of instruction. Methods: Parents measured their child's (n = 30 dyads) weight (own weight scale) and height (soft tape measure) using three levels of instruction: instructional guide (level 1); guide, demonstration video (level 2); and guide, video, and virtual monitoring (level 3), which were compared to researcher measurements (electronic weight scale, Stadiometer). Paired t-tests were used to determine differences between researcher and parent measurements and between the three parent levels. Inaccurate classifications were calculated using parent-measured values for the four categories (underweight, healthy, overweight, obese). Results: Raw mean parent-measured weights (17.4 ± 2.3 kg) differed from researcher by 0.2 kg (level 1), 0.3 kg (level 2), and 0.1 kg (level 3). Raw mean parent-measured heights (104.0 ± 5.9 cm) differed from researcher by 0.9 cm (level 1, p = 0.005), 0.4 cm (level 2, NS), and 0.3 cm (level 3, NS). Across all levels, 48.9% and 65.5% parents overmeasured their children's weights and heights, respectively. Using parent-measured values, 29.4% of children were classified high while 70.5% were classified low. Parents were more likely to make errors if their children were on the borderline between any of the two weight categories. Conclusion: Findings indicate that an instructional guide with demonstration video is helpful in improving the parents' accuracy of their children's weights and heights. More research is needed to determine accuracy in population other than White parents with high education levels and children under overweight and obese category.

Process Evaluation of Two Interventions to Improve Health Environments in Family Child Care Homes.

Early care and education (ECE) environments influence children's lifelong health behaviors, growth, and development. Although the number of interventions to improve health in ECE environments is increasing, few have been designed for and tested in family child care homes (FCCHs). This study reports the process evaluation of two interventions to improve FCCH health environments, both part of Happy Healthy Homes, a matched-attention randomized-controlled intervention trial conducted in Oklahoma FCCHs. Participating child care providers received one of two multicomponent interventions: (a) an intervention focused on enhancing the quality of the nutrition environment, self-efficacy, and practices or (b) an intervention focused on improving providers' environmental health literacy, self-efficacy, and practices. Guided by "Implementation" constructs of the RE-AIM framework (i.e., reach, effectiveness, adoption, implementation, maintenance), intervention report forms and participant tracking were used to assess intervention dose delivered and interventionist-perceived challenges and successes to implementation. Interviews were conducted to obtain participant feedback after the intervention. Dose delivered was high for both interventions overall and across individual sessions, and provider feedback was positive. Implementation challenges and strengths identified for both interventions may be useful for further enhancing intervention appropriateness and success, particularly for interventions with FCCHs. Process evaluation findings indicate that the two Happy Healthy Home interventions can be conducted with high delivery and are well attended and considered to be valuable to FCCH providers.

How did the television get in the child's bedroom? Analysis of family interviews.

OBJECTIVE: Although recent research has shown associations between a television in the bedroom of children (BTV) and obesity, medical and negative societal consequences, the family decision making process supporting or opposing BTV is not yet understood. A qualitative research approach elicited rich, decision making experiences of families. METHODS: Structured family interviews (n=21) in spring 2011 in Oklahoma City captured direct quotations about family beliefs and practices related to BTV. Systematic constant comparative methods of grounded theory guided identification of patterns and themes across families to develop a model of family decision making for BTV. RESULTS: Nine themes represented family decision making processes for BTV. Supporting themes included "I didn't even think about it" and "benefit to me." Opposing themes included: "watch a lot more TV and get less sleep," "bedroom door would probably be closed a lot," "everyone knows it rots your brain," and "what the heck are they watching." CONCLUSIONS: Development of a conceptual model represented the basis for decisions opposing BTV in child concerns for development and missed opportunities while decisions supporting BTV reflected its use as a parenting tool. The emerged model could be useful in guiding strategies to modify family routines and address active and passive parenting strategies that negatively affect child health.

Television viewing and variations in energy intake in adults and children in the USA.

OBJECTIVE: Examine the association between energy intake and television (TV) viewing in Americans. DESIGN: Nationally representative, cross-sectional study of 2003-2006 National Health and Nutrition Examination Survey. SETTING: Total energy intake was determined by two 24 h recalls. TV viewing was reported as low (≤1 h/d), middle (2-3 h/d), and high (≥4 h/d). Multivariate linear regression models were used to analyse TV viewing and energy intake, adjusted for BMI (percentile for children 2-18 years), age, ethnicity and physical activity. SUBJECTS: Pre-school children (2-5 years; n 1369), school-age children (6-11 years; n 1759), adolescents (12-18 years; n 3233) and adults (≥19 years; n 7850) in the USA. RESULTS: There was a significant association between TV viewing and energy intake for adolescent girls (high v. low: ß = 195·2, P = 0·03) and men (high v. low: ß = -113·0, P = 0·02; middle v. low: ß = -131·1, P = 0·0002). Mean adjusted energy intake for adolescent girls was 7801·0, 8088·5 and 8618·2 kJ/d for low, middle and high TV viewing, respectively. Mean adjusted energy intake for men was 9845·9, 9297·2 and 9372·8 kJ/d for low, middle and high TV viewing. CONCLUSIONS: TV viewing was associated with energy intake in US children and adults only in 12-18-year-old girls and men. For girls, the high TV viewing category consumed more energy daily (816·3 kJ (195 kcal)) than the low category. In men, the middle and high TV viewing categories consumed less energy daily (548·4 kJ (131 kcal) and 473·0 kJ (113 kcal), respectively) than the low category. Our findings support some, but not all previous research. Future research is needed to explore this complicated relationship with rigorous measures of energy intake and TV viewing.