Cross-Sectional Study of Location-Based Built Environments, Physical Activity, Dietary Intake, and Body Mass Index in Adult Twins.

We examined relationships between walkability and health behaviors between and within identical twin pairs, considering both home (neighborhood) walkability and each twin's measured activity space. Continuous activity and location data (via accelerometry and GPS) were obtained in 79 pairs over 2 weeks. Walkability was estimated using Walk Score® (WS); home WS refers to neighborhood walkability, and GPS WS refers to the mean of individual WSs matched to every GPS point collected by each participant. GPS WS was assessed within (WHN) and out of the neighborhood (OHN), using 1-mile Euclidean (air1mi) and network (net1mi) buffers. Outcomes included walking and moderate-to-vigorous physical activity (MVPA) bouts, dietary energy density (DED), and BMI. Home WS was associated with WHN GPS WS (b = 0.71, SE = 0.03, p < 0.001 for air1mi; b = 0.79, SE = 0.03, p < 0.001 for net1mi), and OHN GPS WS (b = 0.18, SE = 0.04, p < 0.001 for air1mi; b = 0.22, SE = 0.04, p < 0.001 for net1mi). Quasi-causal relationships (within-twin) were observed for home and GPS WS with walking (ps < 0.01), but not MVPA, DED, or BMI. Results support previous literature that neighborhood walkability has a positive influence on walking.

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.

Relationships between proximity to grocery stores and Oklahoma Early Care and Education classroom nutrition practices.

The study purpose was to determine associations between proximity to grocery stores and Early Care and Education programs' (i.e., ECEs) classroom nutrition practices and barriers, by ECE context (Head Start, community-based childcare [CBC], and family child care homes [FCCHs]). A statewide cross-sectional survey was implemented in Oklahoma ECEs. Directors reported classroom nutrition practices with the Nutrition and Physical Activity Self-Assessment tool, and barriers to implementation. Locations of 457 grocery stores statewide were determined by in-person audit. Geocoded ECEs were considered within a "low proximity" area if no grocery stores were available within a 0.25-mile radius for urban, or 10-mile radius for rural, ECEs. From November 2019 to February 2020, 54 Head Starts, 159 CBCs, and 160 FCCHs participated. 31.0 % were considered as low proximity. Head Starts demonstrated the highest classroom nutrition scores for mealtime practices, and nutrition education and policy. While proximity to grocery stores was not related to classroom nutrition practices for any ECE context (p > 0.05), FCCHs located within a low proximity area reported barriers to implementing those practices more often compared to FCCHs in an area within accessible proximity of grocery store. Thus, proximity to grocery stores was related to barriers in FCCHs only; those provider's experiences and perceptions may be most susceptible to influence of the community nutrition environment, compared to other ECE contexts. Contrary to studies in residential areas and schools, nutrition environments were not related to nutrition practices in ECEs. ECEs may serve as protective micro-environments supporting health for children residing in nearby low-access communities.

The pillars of health: influence of multiple lifestyle behaviors on body mass index and depressive symptoms in adult twins.

BACKGROUND: Guidelines promoting healthy lifestyles are cornerstones of chronic disease prevention and treatment. The purpose of this study is to investigate independent and joint associations of five key health behaviors with health outcomes (body mass index (BMI kg/m2) and depressive symptoms) in adult twins. METHODS: We included 6,048 twin pairs from a community-based registry. Five key health behaviors were: (1) ≥ 8 h of sleep per night, (2) ≥ 5 servings of fruits and vegetables daily, (3) ≤ 2 h sedentary time per day, (4) ≥ 150 min of moderate-to-vigorous physical activity (MVPA) per week, and (5) no smoking. We analyzed phenotypic associations between behaviors and outcomes; whether phenotypic associations were confounded by additive genetic and shared environmental factors within twin pairs ("quasi-causal" associations); and which behaviors, considered simultaneously, had the largest associations with outcomes. RESULTS: We found negative phenotypic associations between number of behaviors achieved with BMI and depressive symptoms score (ps < 0.05). Associations remained significant, though attenuated, when controlling for genetic and shared environmental factors, and demographics, for depressive symptoms score but not BMI (p < 0.05). Quantitative variable importance measures derived from regression tree models showed sedentary time and MVPA were the most important variables in partitioning twins with different BMI, and smoking and sedentary time for partitioning twins with different depressive symptoms score. CONCLUSIONS: Achievement of commonly endorsed health behaviors is associated with lower BMI (especially sedentary and MVPA targets) and depressive symptoms score (especially sedentary and smoking targets). This provides further support of health behavior promotion to improve health outcomes.

Food Waste, Preference, and Cost: Perceived Barriers and Self-Reported Food Service Best Practices in Family Child Care Homes.

Background: Family Child Care Homes (FCCHs) are a setting where providers care for children at their own residence. FCCHs face unique challenges and children may not always receive optimal nutrition and have higher risk of obesity compared to other programs. The objective of this study was to determine differences in food service best practices scores between FCCHs who did/did not perceive barriers to serving healthy meals. Methods: FCCHs (n = 167) self-reported demographics, and perceived barriers to serving healthy foods. Nutrition and Physical Activity Self-Assessment for Child Care was used to assess food served with 1 (indicating poor practice) to 4 (indicating best practice). Means, standard deviations, and t-tests were conducted to determine differences in scores between FCCHs with and without perceived barriers. Adjusted alpha was 0.013. Results: FCCHs perceiving food waste as a barrier had significantly lower scores for total food and beverage (p = 0.006, 3.2 ± 0.3 vs. 3.4 ± 0.3); fruits and vegetables (p = 0.003, 3.1 ± 0.5 vs. 3.3 ± 0.5), whole fruits (p = 0.048, 3.1 ± 1.2 vs. 3.4 ± 0.9), and nonstarchy vegetables (p = 0.007, 2.8 ± 0.9 vs. 3.2 ± 0.9). Providers perceiving food preferences as a barrier had significantly lower scores compared to those who did not (p = 0.008, 2.9 ± 0.9 vs. 3.3 ± 0.9). No significant differences found in best practices among providers with vs. without perceived barrier of food costs. Conclusion: Food waste is an understudied barrier in FCCHs to serve healthy meals. Research is needed to explore these perceived barriers in FCCHs to improve best practices around meals.

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.

Quality of Nutrition Environments, Menus and Foods Served, and Food Program Achievement in Oklahoma Family Child Care Homes.

Child care environments foster children's healthy eating habits by providing exposure to healthy foods and feeding practices. We assessed the healthfulness of nutrition environments, menu/meal quality, and the achievement of Child and Adult Care Food Program (CACFP) guidelines and best practices in Oklahoma CACFP-enrolled family child care homes (FCCHs) (n = 51). Two-day classroom observations were conducted. Healthfulness of classroom nutrition environments was assessed using the Environment and Policy Assessment and Observation (EPAO). Foods served to and consumed by children were quantified using the Dietary Observations in Child Care (DOCC) tool. Nutrient analysis was performed to determine total energy for foods listed on menus, served to, and consumed by children. Menu and meal food variety and CACFP Guideline Achievement Scores were determined. Average nutrition environment score was 11.7 ± 1.2 (61.5% of maximum possible score). Energy (kcals) from menus and consumed by children was insufficient to meet two-thirds of their daily reference intake. Children were exposed to 1.7 vegetables and 1.3 fruits per meal. CACFP Guideline Achievement Scores were 66.3% ± 7.8 for menus and 59.3% ± 7.6 for mealtimes. Similar to previous research, our findings indicate a need for improved FCCH nutrition practices. Tailored interventions for FCCHs are needed.

Changes in physical activity levels and mental health during COVID-19: Prospective findings among adult twin pairs.

BACKGROUND: Physical distancing and other COVID-19 pandemic mitigation strategies have negatively impacted physical activity (PA) levels and mental health in cross-sectional studies. The purpose of this study was to investigate associations between changes in PA and mental health outcomes during the COVID-19 pandemic, following implementation of mitigation strategies, in a sample of adult twins. METHODS: This was a prospective study of 3,057 adult twins from the Washington State Twin Registry. Study participants completed online surveys in 2020, at baseline (March 26 -April 5), and three follow-up waves (W1: April 20 -May 3; W2: Jul 16 -Aug 2; W3: Sept 16 -Oct 1). Physical activity was operationalized as self-reported moderate-to-vigorous PA (MVPA) and neighborhood walking (minutes/week), and mental health outcomes, operationalized as self-reported anxiety and perceived stress were assessed in the three waves of follow-up. Latent growth curve models (LGCMs) were used to assess changes in PA and mental health outcomes over time. Parallel LGCMs were used to estimate the cross-sectional, parallel, and prospective associations between PA and mental health over time. All models took into within-pair correlations and adjusted for age, sex, and race. RESULTS: Individuals' amount of MVPA and walking decreased over time, whereas levels of anxiety remained stable, and stress increased slightly. Cross-sectional associations observed between both PA predictors and mental health outcomes were weak. After taking into account cross-sectional associations between PA and mental health outcomes, changes in PA over time were not associated with changes in mental health outcomes over time. CONCLUSIONS: Over a time period aligned with COVID-19 mitigation strategies and social restrictions, changes in physical activity was not associated with changes in anxiety or stress levels in the current sample. Nonetheless, the average decline in PA over time is worrisome. Public health resources should continue to promote PA as a means to improve physical health during the pandemic.

Family Child Care Providers' Nutrition Practices and Policies: Happy Healthy Homes.

OBJECTIVE: Determine the impact of family child care home providers' nutrition knowledge, confidence, and perceived barriers on program nutrition best practices and written nutrition policies. METHODS: Cross-sectional analysis of self-reported surveys of 49 female providers in Oklahoma City analyzed with Spearman correlation, multivariate linear and logistic regression (α < 0.05). RESULTS: Confidence and barriers were significantly correlated (rs(47) = -0.4, P = 0.004). Independent variables explained 36% of practices (r2 = 0.357). Nutrition knowledge (standard ß = 0.442, P = 0.001) and confidence (standard ß = 0.358, P = 0.008) were significantly associated with practices; barriers were not. No significant association between independent variables and written policies resulted. CONCLUSIONS AND IMPLICATIONS: Provider nutrition knowledge and confidence appear to be suitable targets to improve nutrition practices. Further research can evaluate possible influences on the presence and quality of family child care home written nutrition policies and specific nutrition policy topics associated with healthier nutrition practices.

Associations between Community Built Environments with Early Care and Education Classroom Physical Activity Practices and Barriers.

The influence of community-built environments on physical activity (PA) support in Early Childhood Education settings (ECEs) is unknown. The purpose of this cross-sectional study was to determine associations between community PA environments and ECE classroom PA practices. We included licensed Oklahoma ECE directors serving 3-to-5-year-old children. Parks and playground locations were exported from Google Earth. National Walkability Index was derived from 2010 US Census data. ArcMap 10.6 was used to geocode ECE locations, which were within an Activity Desert if no parks/playgrounds were located within a 1-mile radius or if Walkability Index was 10.5 or below. Classroom PA practices were determined by using the Nutrition and PA Self-Assessment tool (NAP SACC). Barriers to implementing practices were reported. Most Head Starts (n = 41; 80.3%), center-based childcare settings (CBC; n = 135; 87.0%), and family childcare homes (FCCHs; n = 153; 96.4%) were in an Activity Desert. Parks/playgrounds within a 10-mile buffer were correlated with classroom PA practices in FCCHs only (p < 0.001). Activity Desert status was not related to classroom PA practices for any ECE context (p > 0.029). While FCCHs may be the most vulnerable to lack of park and playground access, overall findings suggest ECEs provide a healthful micro-environment protective of the typical influence of community-built environments.

Food Program Participation Influences Nutrition Practices in Early Care and Education Settings.

OBJECTIVE: To determine differences by Child and Adult Care Food Program (CACFP) participation on nutrition requirements and best practices and barriers to implementing both in early care and education programs (ECEs) stratified by context (centers vs home-based ECEs). DESIGN: Cross-sectional survey. SETTING: Three-thousand and fourteen licensed Nebraska ECEs in 2017. PARTICIPANTS: One-thousand three hundred forty-five ECEs. MAIN OUTCOME MEASURE(S): Director-reported nutrition practices in classrooms serving children aged 2-5 years (8 requirements for foods served, 5 best practices for foods served, and 14 best practices for mealtime behaviors). ANALYSIS: Chi-square analysis adjusted for multiple comparisons. RESULTS: Of the sample, 86.8% participated in CACFP, 21.7% were center-based, and 78.3% were home-based. Overall, CACFP participation was related to the higher implementation of CACFP requirements for foods served (P < 0.004 for all) and receiving professional development on nutrition (P < 0.012). In home-based ECEs only, CACFP participation was related to a higher prevalence of serving meals family-style (P = 0.002); however, these practices had low implementation overall. CONCLUSION AND IMPLICATIONS: Findings suggest strengthening of requirements to include staff mealtime behaviors beyond service of healthful foods. Improving CACFP enrollment and including CACFP standards in state licensing requirements may be key strategies for improving nutrition practices in ECEs.

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.

Mode of physical activity participation by body mass index: 2015 behavioural risk factor surveillance system.

Body mass index (BMI) continues to be used as a marker of health due its strong correlation with adiposity and health. Physical activity (PA) has been shown to be favourably associated with a desirable BMI. Few studies have examined mode of PA participation across BMI indices with a mutually exclusive underweight BMI range. The purpose of this study was to examine the relationship between modes of PA and BMI. Data from the 2015 Behavioral Risk Factor Surveillance System was analysed. Underweight, overweight, and obese BMI categories possessed 35, 20, and 46% lower odds of meeting current PA guidelines. The obese BMI group was found to have lower odds of meeting the aerobic only and strength only guidelines. Underweight, overweight, and obese groups possessed 63, 18, and 76% greater odds of meeting neither PA guideline, respectively.

Physical Activity, Body Mass Index, and Clustered Metabolic Risk in U.S. Adolescents: 2007-2012 Nhanes.

BACKGROUND: While studies to date have shown that children and adolescents who meet the current physical activity (PA) recommendations and maintain a healthy body weight demonstrate significantly lower cardiometabolic risk, there are some studies that suggest that the relationship between PA and metabolic risk may be mediated by adiposity. The aim of the present study was to examine variation in clustered metabolic risk (cMetS) in adolescents classified as not overweight/active (NOA), not overweight/not active (NONA), overweight/active (OA), and overweight/not active (ONA). METHODS: The sample included adolescent participants (n = 875; 12-17 years) of the 2007-2012 National Health and Nutrition Examination Survey (NHANES). The cMetS score included triglycerides, high-density lipoprotein cholesterol, fasting plasma glucose, and mean arterial pressure. Age- and sex-specific body mass index (BMI) percentiles were utilized; overweight was defined as BMI percentile ≥85th. Activity data included self-reported frequency of moderate-to-vigorous PA. Adolescents reporting ≥60 min/day of PA were considered "active." General linear models, adjusted for age, sex, and race-ethnicity, were used. A 6-year fasting sample weight was applied to the analyses to ensure representativeness of the data. RESULTS: The cMetS scores were significantly (P < 0.05) higher in OA and ONA adolescents compared to NOA (ß = 1.08 and ß = 1.57, respectively). In ONA males, cMetS was significantly (P < 0.01) higher compared to NOA males. In OA and ONA females, cMetS scores were significantly higher compared to the referent group (P < 0.01 for both). CONCLUSIONS: The cMetS scores were increased in overweight adolescents compared to those who were not overweight, regardless of their reported activity level.

Associations of Metabolic Syndrome, Elevated C-Reactive Protein, and Physical Activity in U.S. Adolescents.

PURPOSE: The aim was to estimate the prevalence of metabolic syndrome (MetS) criteria, elevated C-reactive protein (CRP), and physical activity (PA) as well as the odds of MetS criteria in those active versus inactive utilizing a representative sample of U.S. adolescents. METHODS: The study sample (n = 676) included male and female adolescent (12-17 years) participants in the 2007-2010 National Health and Nutrition Examination Survey. The criteria analyzed were based on a modified definition of MetS using the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Current adult cut points were used to determine elevated CRP. Activity was estimated using reported days per week and minutes per day of moderate/vigorous PA. RESULTS: The MetS criteria with the highest and lowest overall prevalence estimates were elevated fasting glucose and elevated blood pressure (20.7% [95% confidence interval, 17.02-24.38] and 5.7% [95% confidence interval, 3.70-7.70], respectively). The prevalence of elevated CRP was 7.1% (6.3% and 7.8% in males and females, respectively; p = .42). The prevalence of insufficient PA was 75.0%. Odds of low high-density lipoprotein cholesterol were significantly lower in active adolescents when compared with inactive adolescents (odds ratio = .39, p < .05). CONCLUSIONS: In a representative sample of U.S. adolescents, elevated fasting glucose is the most prevalent MetS criterion. One out of five U.S. adolescents has elevated fasting glucose, and three out four do not meet the daily federal PA recommendations. Adolescents meeting the federal PA recommendation demonstrate approximately 60% lower odds of having low high-density lipoprotein cholesterol.

Body Mass Index and Physical Inactivity: 2013 BRFSS.

OBJECTIVES: Examine the odds of adults reporting physical inactivity (PI) across six body mass index (BMI) categories. METHODS: We used data from the 2013 Behavioral Risk Factor Surveillance System. Six BMI categories were used. RESULTS: The odds of reporting PI in underweight men and men in the class I, II, and III obesity categories were 1.65 (95% confidence interval [CI] 1.35-2.02), 1.30 (95% CI 1.21-1.39), 1.73 (95% CI 1.58-1.90), and 2.44 (95% CI 2.17-2.75), respectively, compared with men of desirable weight (odds ratio [OR] 1.00, 18.5-24.9 kg/m2; referent, OR 1.00). The odds of reporting PI in underweight men were similar to class II and class III obese men. The odds of reporting PI in underweight women, overweight women, and women in the class I, II, and III obesity categories were 1.57 (95% CI 1.36-1.81), 1.20 (95% CI 1.14-1.27), 1.65 (95% CI 1.56-1.75), 2.23 (95% CI 2.07-2.40), and 2.89 (95% CI 2.66-3.15), respectively, compared with women of desirable weight (≥18.5-24.9 kg/m2; referent, OR 1.00). The odds of reporting PI were similar in underweight and class I obese women. Women were found to have greater odds than men of reporting PI in four of the five nondesirable BMI categories (P < 0.05). CONCLUSIONS: The within- and between-sex differences in the odds of reporting PI vary significantly by BMI category. Future research needs to include the underweight BMI category when investigating PI and sedentary time because of the potential clinical relevance.