The built and social neighborhood environment and child obesity: A systematic review of longitudinal studies

Socio-Ecologic Influences on Weight Trajectories Among Children with Obesity Living in Rural and Urban Settings

Background: Childhood obesity is a risk factor for poor cardiovascular, metabolic, and respiratory health. The studies examining influences of socio-ecologic factors on weight trajectories using longitudinal data are limited, often examine single measures (e.g., proximity to parks), and have not examined the specific trajectories of children with obesity. Methods: We examined influences on weight among 1518 children, 6-12 years of age, who had obesity using body mass index (BMI) criteria. BMI slope trajectories were categorized as decreasing, flat, or increasing, with a median of 2.1 years of follow-up. We examined socio-ecologic exposures, stratified by rural and urban settings, using census tracts to map indices, including food access, proximity to parks, normalized difference vegetation index, and area deprivation index (ADI). We used ordinal logistic regression to examine the associations between the socio-ecologic factors and BMI trajectories. Results: Among the 1518 children, 360 (24%) had a decreasing BMI trajectory with the remainder having flat (23%) or increasing (53%) trajectories. Children in rural areas were more likely to live in high disadvantage areas, 85%, compared with urban children, 46%. In the multivariable ordinal model, living in a lower ADI census tract had a 0.78 (95% CI 0.61-0.99) lower odds of being in an increasing BMI slope group, and no other socio-ecologic factor was associated. Conclusions: The area deprivation index captures a range of resources and social context compared with the built environment indicators, which had no association with BMI trajectory. Further work examining how to develop effective interventions in high deprivation areas is warranted.

The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth

Background: The role of neighborhood factors in the association between adverse childhood experiences (ACEs) and body mass index (BMI) has not been widely studied. A neighborhood ACEs index (NAI) captures neighborhood environment factors associated with ACE exposure. This study examined associations between BMI and an NAI among New York City (NYC) youth. An exploratory objective examined the NAI geographic distribution across NYC neighborhoods. Methods: Data for students attending NYC public general education schools in kindergarten-12th grade from 2006-2017 (n = 1,753,867) were linked to 25 geospatial datasets capturing neighborhood characteristics for every census tract in NYC. Multivariable hierarchical linear regression tested associations between BMI and the NAI; analyses also were conducted by young (<8 years), school age (8-12 years), and adolescent (>12 years) subgroups. In addition, NAI was mapped by census tract, and local Moran's I identified clusters of high and low NAI neighborhoods. Results: Higher BMI was associated with higher NAI across all sex and age groups, with largest magnitude of associations for girls (medium NAI vs. low NAI: unstandardized β = 0.112 (SE 0.008), standardized β [effect size]=0.097, p < 0.001; high NAI vs. low NAI: unstandardized β = 0.195 (SE 0.008), standardized β = 0.178, p < 0.001) and adolescents (medium NAI vs. low NAI: unstandardized β = 0.189 (SE 0.014), standardized β = 0.161, p < 0.001, high NAI vs. low NAI: unstandardized β = 0.364 (SE 0.015), standardized β = 0.334, p < 0.001 for adolescent girls; medium NAI vs. low NAI: unstandardized β = 0.122 (SE 0.014), standardized β = 0.095, p < 0.001, high NAI vs. low NAI: unstandardized β = 0.217 (SE 0.015), standardized β = 0.187, p < 0.001 for adolescent boys). Each borough of NYC included clusters of neighborhoods with higher and lower NAI exposure, although clusters varied in size and patterns of geographic dispersion across boroughs. Conclusions: A spatial index capturing neighborhood environment factors associated with ACE exposure is associated with higher BMI among NYC youth. Findings complement prior literature about relationships between neighborhood environment and obesity risk, existing research documenting ACE-obesity associations, and the potential for neighborhood factors to be a source of adversity. Collectively, evidence suggests that trauma-informed place-based obesity reduction efforts merit further exploration as potential means to interrupt ACE-obesity associations.

Neighborhood Opportunity and Obesity in Early Adolescence: Differential Associations by Sex

PURPOSE

Though research indicates that certain aspects of adverse neighborhood conditions may influence weight development in childhood and adolescence, it is unknown if the Child Opportunity Index (COI), a composite measure of 29 indicators of neighborhood conditions, is associated with weight outcomes in adolescence. We hypothesized that lower COI would be associated with higher overweight and obesity in cross-sectional and longitudinal modeling in a national sample of 9 year olds and 10 year olds and that this association would be different by sex.

METHODS

Using data from the Adolescent Brain Cognitive Development study (n = 11,857), we examined the cross-sectional association between COI quintile and overweight and obesity in 9 year olds and 10 year olds. Additionally, we used hazard ratios to examine incident overweight and obesity across three waves of data collection.

RESULTS

Due to the interaction between sex and COI (p < .05), we present sex-specific models. There was a stepwise bivariate association, in which higher COI was associated with lower obesity prevalence. This pattern held in multilevel models, with a stronger association in females. In models adjusted for individual and household characteristics, female adolescents in the lowest quintile COI neighborhoods had 1.81 (95% confidence interval: 1.32, 2.48) times the odds of obesity compared to those in the highest quintile. In longitudinal models, the COI was associated with incident obesity in females only: adjusted hazard ratio = 4.27 (95% confidence interval: 1.50, 12.13) for lowest compared to highest COI.

DISCUSSION

Neighborhood opportunity is associated with risk of obesity in pre-adolescence into mid-adolescence. Females may be particularly influenced by neighborhood conditions.

Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models

BACKGROUND

Overweight and obesity impose a considerable individual and social burden, and the urban environments might encompass factors that contribute to obesity. Nevertheless, there is a scarcity of research that takes into account the simultaneous interaction of multiple environmental factors.

OBJECTIVES

Our objective was to perform an exposome-wide association study of body mass index (BMI) in a multicohort setting of 15 studies.

METHODS

Studies were affiliated with the Dutch Geoscience and Health Cohort Consortium (GECCO), had different population sizes (688-141,825), and covered the entire Netherlands. Ten studies contained general population samples, others focused on specific populations including people with diabetes or impaired hearing. BMI was calculated from self-reported or measured height and weight. Associations with 69 residential neighborhood environmental factors (air pollution, noise, temperature, neighborhood socioeconomic and demographic factors, food environment, drivability, and walkability) were explored. Random forest (RF) regression addressed potential nonlinear and nonadditive associations. In the absence of formal methods for multimodel inference for RF, a rank aggregation-based meta-analytic strategy was used to summarize the results across the studies.

RESULTS

Six exposures were associated with BMI: five indicating neighborhood economic or social environments (average home values, percentage of high-income residents, average income, livability score, share of single residents) and one indicating the physical activity environment (walkability in 5 -km buffer area). Living in high-income neighborhoods and neighborhoods with higher livability scores was associated with lower BMI. Nonlinear associations were observed with neighborhood home values in all studies. Lower neighborhood home values were associated with higher BMI scores but only for values up to € 300,000 . The directions of associations were less consistent for walkability and share of single residents.

DISCUSSION

Rank aggregation made it possible to flexibly combine the results from various studies, although between-study heterogeneity could not be estimated quantitatively based on RF models. Neighborhood social, economic, and physical environments had the strongest associations with BMI. https://doi.org/10.1289/EHP13393.

The Associations between Neighborhood Characteristics and Childhood Overweight and Obesity in a National Dataset

BACKGROUND

National child obesity rates continue to climb. While neighborhood factors are known to influence childhood weight, more work is needed to further our understanding of these relationships and inform intervention and policy approaches reflective of complex real-world contexts.

METHODS

To evaluate the associations between neighborhood components and childhood overweight/obesity, we analyzed sequential, cross-sectional data from the National Survey of Children's Health collected annually between 2016 and 2021. To characterize the complexity of children's neighborhood environments, several interrelated neighborhood factors were examined: amenities, detractions, support, and safety. We used ordinal logistic regression models to evaluate the associations between these exposures of interest and childhood weight status, adjusting for potential confounders.

RESULTS

Our analytic sample contained 96,858 children representing a weighted population of 28,228,799 children ages 10-17 years. Child weight status was healthy in 66.5%, overweight in 16.8%, and obese in 17.2%. All four neighborhood factors were associated with child weight status. The odds of overweight or obesity generally increased with a decreasing number of amenities and increasing number of detractions, with the highest adjusted odds ratio seen with no amenities and all three possible detractions (1.71; 95% confidence interval [1.31, 2.11]).

CONCLUSIONS

Multiple factors within a child's neighborhood environment were associated with child weight status in this sample representative of the US population aged 10-17 years. This suggests the need for future research into how policies and programs can support multiple components of a healthy neighborhood environment simultaneously to reduce rates of childhood overweight/obesity.

Pediatric obesity during COVID-19: the role of neighborhood social vulnerability and collective efficacy

INTRODUCTION

Childhood obesity increased in the first year of COVID-19 with significant disparities across race, ethnicity, and socioeconomic status. Social distancing led to fewer physical activity opportunities but increased screen time and high-calorie food consumption, all co-determined by neighborhood environments. This study aimed to test the moderation effects of neighborhood socioeconomic and built environments on obesity change during COVID-19.

METHODS

Using electronic health records from a large pediatric primary care network in 2018-2022, we cross-sectionally examined 163,042 well visits of 2-17-year-olds living in Philadelphia County in order to examine (1) the pandemic's effect on obesity prevalence and (2) moderation by census-tract-level neighborhood socioeconomic disadvantage, crime, food and physical activity-related environments using interrupted-time-series analysis, Poisson regression, and logistic regression.

RESULTS

Weekly obesity prevalence increased by 4.9 percent points (pp) during the pandemic (January 2021-August 2022) compared to pre-pandemic (March 2018-March 2020) levels. This increase was pronounced across all age groups, racially/ethnically minoritized groups, and insurance types (ranging from 2.0 to 6.4 pp) except the Non-Hispanic-white group. The increase in obesity among children racially/ethnically minoritized groups was significantly larger in the neighborhoods with high social vulnerability (3.3 pp difference between high and low groups), and low collective efficacy (2.0 pp difference between high and low groups) after adjusting for age, sex, and insurance type.

CONCLUSIONS

Racially/ethnically minoritized children experienced larger obesity increases during the pandemic, especially those in socioeconomically disadvantaged neighborhoods. However, the buffering effect of community collective efficacy on the disparities underscores the importance of environments in pediatric health.

Association of Neighborhood Characteristics and Chronic Pain in Children and Adolescents in the United States

OBJECTIVE

To determine the associations between neighborhood characteristics and chronic pain during childhood and adolescence in the United States, 2020-2021.

METHODS

Cross-sectional analysis of the 2020 and 2021 National Survey of Children's Health. National Survey of Children's Health grouped parents' responses to questions about neighborhood characteristics into 5 categories: neighborhood support, neighborhood safety, school support, neighborhood amenities, and the presence of detracting neighborhood elements. Chronic pain was defined as parents reporting their children had "frequent or chronic difficulty with repeated or chronic physical pain, including headache or other back or body pain during the past 12 months." Multivariable Poisson regression analyses estimated associations between neighborhood characteristics and chronic pain, adjusted for sociodemographic characteristics.

RESULTS

The sample contained 55,387 children (6 to 17 years), weighted to represent 44 million nationally. Children had significantly increased rates of chronic pain if they lived in neighborhoods that were unsupportive, unsafe, had unsafe schools, fewer amenities, and greater numbers of detracting elements ( P <0.0001). After adjusting for covariates, children had significantly increased chronic pain if they lived in neighborhoods that were not supportive (adjusted prevalence rate ratio=1.7 (95% CI: 1.5-1.9, P <0.0001), with similar patterns observed for living in neighborhoods characterized as not safe, that did not have safe schools, with fewer amenities, and/or more detracting elements.

DISCUSSION

Disadvantageous neighborhood characteristics are associated with pediatric chronic pain prevalence. Future research should investigate the underlying mechanisms of this association and guide neighborhood interventions aimed at preventing and decreasing childhood chronic pain and its associated burdens.

The Influence of the School Neighborhood Food Retail Environment on Unhealthy Food Purchasing Behaviors Among Adolescents: A Systematic Review

INTRODUCTION

Adolescents are often exposed to food retailers selling unhealthy food items during their lunch breaks and school commutes. This systematic review examines the influence of school neighborhood food retail environments on adolescent food purchasing.

METHODS

A systematic search of 6 databases. Observational studies published from January 2012 to December 2022 that measured food availability, accessibility, or exposure, measured food purchasing, and focused on adolescents (aged 10-19 years) were eligible for inclusion.

RESULTS

Twelve studies with 97 findings were included. Thirty-one findings indicated that a school neighborhood with a high density of unhealthy food retail, a school with unhealthy food retail nearby, or exposure to unhealthy food retail on the journey to/from school was associated with higher prevalence and frequency of unhealthy food purchases.

DISCUSSION

Adolescents' food purchasing behaviors may be meaningfully affected by their school neighborhood food retail environment; however, the included studies have many methodological shortcomings.

IMPLICATIONS FOR RESEARCH AND PRACTICE

Results identify the need for new studies that measure food purchasing, use comprehensive definitions of food retail environments, and adopt more rigorous methods to approximate exposure to food retail. More robust evidence would strengthen the rationale for policy or program interventions and potentially indicate specific targets for intervention.

Using the lens of trauma informed care to inform pediatric obesity management

PURPOSE OF REVIEW

Summarize the evolution of the trauma-informed care (TIC) approach in pediatrics, highlight the importance of using this lens in pediatric obesity management and treating the whole patient and family, and suggest recommendations for providers to incorporate TIC into their practice.

RECENT FINDINGS

Implementing TIC in pediatric obesity management is recommended and offers an approach to address trauma-related symptoms associated with obesity. The TIC framework creates a safe, nurturing space to have open conversations with patients and families to promote resilience and reduce stigma related to obesity without re-traumatization. Screening tools may expose symptoms related to trauma, but are limited. Provider training is available and development of TIC related skills may be improved through using the arts and humanities. Success of TIC requires a tailored, integrated healthcare system approach with commitment from all levels.

SUMMARY

The TIC approach offers providers skills to uncover trauma-related symptoms and address obesity-related health disparities while reducing stigma. Collaboration across all levels of the healthcare system and community partners is essential. Further research is warranted on the effectives of this approach in pediatric obesity prevention and management.

Gentrification and childhood obesity: Evidence from New York City public school students in public housing

OBJECTIVE

The study objective was to determine the effect of gentrification on the weight outcomes of New York City public school students living in public housing.

METHODS

In a prospective cohort of 19,022 New York City public school students in public housing followed during 2009-2017, weight outcomes of students living in public housing buildings in gentrified neighborhoods were compared to those living in consistently low-socioeconomic-status neighborhoods; assignment was quasi-random in each borough.

RESULTS

Among the 42,182 student-year observations, gentrification did not increase weight outcomes significantly, for BMI z scores (0.037; 95% CI: -0.012 to 0.086), obesity (0.6 percentage points [pp]; 95% CI: -0.9 to 2.1), or overweight (1.3 pp; 95% CI: -0.7 to 3.2). However, heterogeneous effects by borough were found, where the gentrification in Manhattan increased students' BMI z scores by 0.19 (95% CI: 0.09-0.29), obesity by 3.4 pp (95% CI: 0.03-6.5), and overweight by 9.2 pp (95% CI: 6.3-12.1). No heterogeneity by race and ethnicity, gender, or age was found.

CONCLUSIONS

With strong internal validity, this study shows that neighborhood gentrification differentially influenced children's health through obesity, based on borough of residence. Such findings could inform policies or interventions focused on subpopulations and geographies.

Resilience in development: Neighborhood context, experiences of discrimination, and children's mental health

An understanding of child psychopathology and resilience requires attention to the nested and interconnected systems and contexts that shape children's experiences and health outcomes. In this study, we draw on data from the National Survey of Children's Health, 2016 to 2021 (n = 182,375 children, ages 3- to 17 years) to examine associations between community social capital and neighborhood resources and children's internalizing and externalizing problems, and whether these associations were moderated by experiences of racial discrimination. Study outcomes were caregiver-report of current internalizing and externalizing problems. Using logistic regression models adjusted for sociodemographic characteristics of the child and household, higher levels of community social capital were associated with a lower risk of children's depression, anxiety, and behaviors. Notably, we observed similar associations between neighborhood resources and child mental health for depression only. In models stratified by the child's experience of racial/ethnic discrimination, the protective benefits of community social capital were specific to those children who did not experience racial discrimination. Our results illustrate heterogeneous associations between community social capital and children's mental health that differ based on interpersonal experiences of racial/ethnic discrimination, illustrating the importance of a multilevel framework to promote child wellbeing.

A Review of the Role of Built Environment and Temperature in the Development of Childhood Obesity

The burden of obesity is rising globally and is studied widely, yet the evidence for the association of environmental factors (both built and natural) with childhood obesity remains inconsistent. A relation with temperature as a proxy for natural environmental factors for obesity has not been reviewed previously. The purpose of this review was to assimilate updated evidence on environmental factors of childhood obesity. Three databases, MEDLINE (Medical Literature Analysis and Retrieval System Online), Web of Science, and Cochrane, were searched for articles related to the effect of built environment and temperature on childhood obesity in 6-12-year-olds published in the last five years. Twelve studies were identified: four longitudinal and eight cross-sectional. The studies were appraised using the National Institute of Health Quality (NIH) Assessment Tool. A review of included studies showed that built environmental features like higher residential and population density, higher intersection density, more playgrounds, and all park features like the presence or availability of parks, high number of parks, proximity to parks, and an increased park land area, showed a protective association against childhood obesity while land use mix showed a promoting association for the development of childhood obesity. Inconclusive evidence was observed for other built environmental features. The search strategy did not retrieve any literature published in the past five years studying the association between temperature and the development of childhood obesity. Standardization of definitions of exposure and outcome measures is recommended. Further research studying the relationship between environmental temperature and the development of childhood obesity is recommended.

An unwelcome inheritance: childhood obesity after diabetes in pregnancy

Diabetes in pregnancy affects 20 million women per year and is associated with increased risk of obesity in offspring, leading to insulin resistance and cardiometabolic disease. Despite the substantial public health ramifications, relatively little is known about the pathophysiological mechanisms underlying obesity in these high-risk children, which creates a barrier to successful intervention. While maternal glucose itself is undeniably a major stimulus upon intrauterine growth, the degree of offspring hyperinsulinism and disturbed lipid metabolism in mothers and offspring are also likely to be implicated in the disease process. The aim of this review is to summarise current understanding of the pathophysiology of childhood obesity after intrauterine exposure to maternal hyperglycaemia and to highlight possible opportunities for intervention. I present here a new unified hypothesis for the pathophysiology of childhood obesity in infants born to mothers with diabetes, which involves self-perpetuating twin cycles of pancreatic beta cell hyperfunction and altered lipid metabolism, both acutely and chronically upregulated by intrauterine exposure to maternal hyperglycaemia.

Socioecologic Factors Associated With Obesity in Adolescents With Epilepsy in the United States

BACKGROUND

Obesity among youth with epilepsy has multifactorial etiology, yet socioecologic obesity risk factors (eg, neighborhood factors) have not been examined in this population. This study examined (1) the prevalence of obesity adjusting for relevant covariates and (2) socioecologic correlates of obesity in adolescents with epilepsy aged 10-17 years.

METHODS

This cross-sectional study used 2017-2018 National Survey of Children's Health data (total n = 27,094; epilepsy n = 184). Chi-square tests compared weighted prevalence of obesity with relevant covariates among all adolescents and adolescents with epilepsy. Weighted multiple logistic regression models were conducted to adjust for covariates.

RESULTS

The prevalence of obesity in adolescents with epilepsy was 27.8% (95% confidence interval [CI] 15.4%-40.3%) vs 15.1% (95% CI 14.1%-16.2%) for the non-epilepsy group. Adolescents with epilepsy also had higher odds of obesity after adjusting for age, gender, race/ethnicity, household income, physical activity, and medical home (odds ratio [OR] 2.1, 95% CI 1.2-3.8). Adjusting for sociodemographics, anxiety (OR 4.5, 95% CI 1.3-15.6), 2 or more adverse childhood experiences (OR 7.3, 95% CI 1.6-33.4), neighborhood detracting elements (eg, OR 5.2, 95% CI 1.5-18.5 for 1 detracting element), and forgone care (ie, unmet health care needs) (OR 22.4, 95% CI 3.8-132.8) were associated with obesity in adolescents with epilepsy. Adjusting for multiple comparisons, neighborhood detracting elements (P < .0001) and forgone care (P < .0007) remained significant.

CONCLUSION

Variables related to mental health, family functioning, built environment, and forgone care were associated with obesity in adolescents with epilepsy, but the association was not fully explained by these factors. Obesity interventions for this population should consider multiple levels of influence including the community and special health care needs of this population.

Disparities in pediatric obesity during COVID-19: The role of neighborhood social vulnerability and collective efficacy

Introduction

Childhood obesity increased in the first year of Covid-19 with significant disparities across race, ethnicity, and socioeconomic status. Social distancing led to fewer physical activity opportunities but increased screen time and high-calorie food consumption, all co-determined by neighborhood environments. This study aimed to test the moderation effects of neighborhood socioeconomic and built environments on racial/ethnic disparities in obesity change during Covid-19.

Methods

Using electronic health records from a large pediatric primary care network in 2018-2022, we cross-sectionally examined 163,042 well visits of 2-17 year-olds living in Philadelphia county in order to examine (1) the pandemic's effect on obesity prevalence and (2) moderation by census-tract-level neighborhood socioeconomic disadvantage, crime, food and physical activity-related environments using interrupted-time-series analysis, Poisson regression, and logistic regression.

Results

Weekly obesity prevalence increased by 4.9 percent points (pp) during the pandemic (Jan 2021-Aug 2022) compared to pre-pandemic (Mar 2018-Mar 2020) levels. This increase was pronounced across all age groups, racially/ethnically-minoritized groups, and insurance types (ranging from 2.0 to 6.4 pp) except the Non-Hispanic-white group. The increase in obesity among children racially/ethnically-minoritized groups was significantly larger in the neighborhoods with high social vulnerability (3.3 pp difference between high and low groups), and low collective efficacy (2.0 pp difference between high and low groups) after adjusting for age, sex, and insurance type.

Conclusions

Racially/ethnically-minoritized children experienced larger obesity increases during the pandemic, especially those in socioeconomically disadvantaged neighborhoods. However, the buffering effect of community collective efficacy on the disparities underscores the importance of environments in pediatric health.

Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand

Reported obesity rates for adolescents in different urban and rural areas are inconsistent. We examined indicators of healthy and unhealthy dietary patterns among 1863 adolescents aged 13-18 years with a healthy or excess body weight attending 23 secondary schools in four different settlement types across the Otago region, New Zealand. An online survey included demographics and dietary behaviours. Height and weight were measured, and body mass index was calculated. New Zealand defined urban and rural settlement types were used. Home addresses determined a small area-level index of deprivation. Data were analysed using Chi-square tests and ANOVA. A logistic model was fitted to estimate adjusted odds ratios of excess weight. The proportion of adolescents with a healthy weight differed (p < 0.001) between the most (64.9%) and least (76.4%) deprived neighbourhood areas. There was only indicative evidence of differences between settlement types (p = 0.087). Sugar-sweetened beverage and fast-food consumption was more frequent in the most deprived areas (p < 0.001), and in urban versus rural settlements (p < 0.001). The most important associations with excess weight were area-level deprivation and ethnicity, but not settlement type. Prioritising socioeconomic factors irrespective of settlement type is necessary when developing interventions to improve dietary patterns and body weight status among adolescents.

Longitudinal Associations Between Neighborhood Child Opportunity and Physical Fitness for New York City Public School Youth

Neighborhood environments can support fitness-promoting behavior, yet little is known about their influence on youth physical fitness outcomes over time. We examined longitudinal associations between neighborhood opportunity and youth physical fitness among New York City (NYC) public school youth. The Child Opportunity Index (COI), a composite index of 29 indicators measuring neighborhood opportunity at the census-tract level, along with scores on 4 selected COI indicators were linked to NYC FITNESSGRAM youth data at baseline. Fitness outcomes (measured annually, 2011-2018) included body mass index, curl-ups, push-ups, and Progressive Aerobic Cardiovascular Endurance Run (PACER) laps. Unstratified and age-stratified, adjusted, 3-level generalized linear mixed models, nested by census tract and time, estimated the association between COI and fitness outcomes. The analytical sample (n = 204,939) lived in very low (41%) or low (30%) opportunity neighborhoods. Unstratified models indicated that overall COI is modestly associated with improved youth physical fitness outcomes. The strongest opportunity-fitness associations were observed for PACER. Stratified models show differences in associations across younger vs. older youth. We find that neighborhood factors are associated with youth fitness outcomes over time, with the strength of the associations dependent on age. Future implications include better informed place-based interventions tailored to specific life stages to promote youth health.

Identifying risk factors affecting exercise behavior among overweight or obese individuals in China

Background

The disease burden caused by obesity has increased significantly in China. Less than 30% of those who are obese meet the weekly physical activity standards recommended by the WHO. Risk factors that influence exercise behavior in people with obesity remain unclear.

Methods

Based on the survey from the Chinese General Social Survey program (CGSS) in 2017, 3,331 subjects were identified and enrolled in the univariate and multiple probit regression models. We aimed to identify the association between SRH and the exercise behavior of obese people and further explore the influencing factors of active physical activity in this group of people.

Results

The proportion of active physical activity in obese people was 25%. Groups with better SRH, higher education and income were more likely to participate in sports. Obese people who lived in rural areas, were unmarried or divorced, or fell within the age range of 35-40 had a significantly lower percentage of engagement in active physical activity.

Conclusions

The proportion of people with obesity who meet the WHO recommendation for physical activity in China is not ideal. Health promotion programs for those who are obese need to be further strengthened and targeted, especially for rural areas, low-income families, and middle-aged obese people.

Associations of longitudinal BMI percentile classification patterns in early childhood with neighborhood-level social determinants of health

Background

Understanding social determinants of health (SDOH) that may be risk factors for childhood obesity is important to developing targeted interventions to prevent obesity. Prior studies have examined these risk factors, mostly examining obesity as a static outcome variable.

Objectives

This study aimed to identify distinct subpopulations based on BMI percentile classification or changes in BMI percentile classifications over time and explore these longitudinal associations with neighborhood-level SDOH factors in children from 0 to 7 years of age.

Methods

Using Latent Class Growth (Mixture) Modelling (LCGMM) we identify distinct BMI% classification groups in children from 0 to 7 years of age. We used multinomial logistic regression to study associations between SDOH factors with each BMI% classification group.

Results

From the study cohort of 36,910 children, five distinct BMI% classification groups emerged: always having obesity (n=429; 1.16%), overweight most of the time (n=15,006; 40.65%), increasing BMI% (n=9,060; 24.54%), decreasing BMI% (n=5,058; 13.70%), and always normal weight (n=7,357; 19.89%). Compared to children in the decreasing BMI% and always normal weight groups, children in the other three groups were more likely to live in neighborhoods with higher rates of poverty, unemployment, crowded households, and single-parent households, and lower rates of preschool enrollment.

Conclusions

Neighborhood-level SDOH factors have significant associations with children's BMI% classification and changes in classification over time. This highlights the need to develop tailored obesity interventions for different groups to address the barriers faced by communities that can impact the weight and health of the children living within them.

Heterogeneity in place effects on health: The case of time preferences and adolescent obesity

We leverage a natural experiment in combination with data on adolescents' time preferences to assess whether there is heterogeneity in place effects on adolescent obesity. We exploit the plausibly exogenous assignment of military servicemembers, and consequently their children, to different installations to identify place effects. Adolescents' time preferences are measured by a validated survey scale. Using the obesity rate in the assigned installation county as a summary measure of its obesity-related environments, we show that exposure to counties with higher obesity rates increases the likelihood of obesity among less patient adolescents but not among their more patient counterparts.

Impact of built, social, and economic environments on adolescent obesity and related health behaviors

OBJECTIVE

This study aimed to estimate the effects of the built, social, and economic environments on adolescent obesity and related behaviors.

METHODS

Exploiting quasi-exogenous variation in military families' geographic location, this study estimated intent-to-treat models of the association between the assigned installation's county environments and adolescents' (mean age 13.5 years) self-reported and model-corrected BMI, overweight or obesity status, and self-reported diet and exercise. Three indices for the built, social, and economic environments characterized county-level environments (higher value implies more advantageous environments) based on 19 indicators. Multivariate linear and logistic models were estimated on the full sample (N = 1111) and on subsamples with greater exposure based on time (n = 682) and off-installation residence (n = 604).

RESULTS

Exposure to more advantageous built environments for more than 2 years was associated with lower probabilities of obesity (-0.18; 95% CI: -0.34 to -0.026) and overweight or obesity (-0.34; 95% CI: -0.56 to -0.12) and was associated with lower BMI z scores (-0.76; 95% CI: -1.45 to -0.02). Results for adolescents living off-installation were similar. More advantageous built environments were also associated with lower consumption of unhealthy foods, but not with physical activity. Social and economic environments were not associated with any outcomes.

CONCLUSIONS

The built environment, but not social and economic environments, was a strong predictor of adolescents' BMI, overweight or obesity status, and eating behaviors.

Neighborhood Walkability, Historical Redlining, and Childhood Obesity in Denver, Colorado

Childhood obesity is a precursor to future health complications. In adults, neighborhood walkability is inversely associated with obesity prevalence. Recently, it has been shown that current urban walkability has been influenced by historical discriminatory neighborhood disinvestment. However, the relationship between this systemic racism and obesity has not been extensively studied. The objective of this study was to evaluate the association of neighborhood walkability and redlining, a historical practice of denying home loans to communities of color, with childhood obesity. We evaluated neighborhood walkability and walkable destinations for 250 participants of the Healthy Start cohort, based in the Denver metropolitan region. Eligible participants attended an examination between ages 4 and 8. Walkable destinations and redlining geolocations were determined based on residential addresses, and a weighting system for destination types was developed. Sidewalks and trails in Denver were included in the network analyst tool in ArcMap to calculate the precise walkable environment for each child. We implemented linear regression models to estimate associations between neighborhood characteristics and child body mass index (BMI) z-scores and fat mass percent. There was a significant association between child BMI and redlining (β: 1.36, 95% CI: 0.106, 2.620). We did not find an association between walkability measures and childhood obesity outcomes. We propose that cities such as Denver pursue built environment policies, such as inclusionary zoning and direct investments in neighborhoods that have been historically neglected, to reduce the childhood health impacts of segregated poverty, and suggest further studies on the influences that redlining and urban built environment factors have on childhood obesity.

School-Based Interventions to Support Healthy Indoor and Outdoor Environments for Children: A Systematic Review

Environmental exposures are associated with children's health. Schools are often urban exposure 'hotspots' for pollution, noise, lack of green space and un-walkable built environments. The aim of this systematic review was to explore the impact of school-based interventions on the modification of indoor and outdoor stressors related to the built and natural environment on children's exposure and health. A systematic review of seven databases was performed. We included quantitative studies on children aged 5-12, which reported intervention delivered within school settings aimed at addressing key environmental exposures including air pollution, green spaces, traffic noise or active travel; and reported physical and mental health, physical activity or active travel behavior. The quality of studies was assessed and interventions were described using a standardized framework. A narrative synthesis approach was used to describe the findings. Thirty-nine papers were included on three main intervention types: improve indoor air quality by the increase of ventilation rates in classrooms; increase children's green time or greening schools, and multicomponent interventions to increase active travel to school by changes in pedestrian facilities. No eligible intervention to reduce traffic noise at school was found. Increasing ventilation rates improved short-term indoor air quality in classrooms, but the effect on cognitive performance was inconsistent. Greening schools and increasing children's green time have consistent positive effects on cognition and physical activity, but not in behavior. Multi-component interventions can increase walking and cycling after three years. Overall, the studies were rated as having poor quality owing to weak study designs. We found modest evidence that school-based built and natural environment interventions can improve children's exposure and health.

Relationships of Local Food and Physical Activity Environments With Overweight in 5- to 17-Year-Old Malaysian Children

Evidence on the associations between built environment and overweight in children outside developed countries is scarce. We examined associations between access to local food and physical activity environments and overweight in 5- to 17-year-old Malaysians in two states with differing overweight levels. Information on children was measured in the National Health and Morbidity Survey 2015 and combined with Geographic Information System-derived data on local food and physical activity environments. Access to the built environment was measured by presence and distance from child's residence. Complete data were available for 880 children. Access to local food outlets and parks was higher and associated with higher occurrence of overweight in children living in the state with higher overweight prevalence. When adjusted for sociodemographic factors, higher presence of and shorter distance to convenience stores and parks were associated with overweight. Both built environment and children's sociodemographic backgrounds should be considered when planning interventions to curb the overweight epidemic in Malaysia.

A novel method to map community- and neighborhood-level access to rural physical activity built environments in the United States

Physical activity (PA) built environments may support PA among rural youth and families. In the United States (U.S.), differences between rural and urban PA built environments are assessed using coarse scale, county-level methods. However, this method insufficiently examines environmental differences within rural counties. The present study uses rural-specific geospatial mapping techniques and a fine scale, within-rural grouping strategy to identify differing levels of access to the PA built environment among a rural sample. First, PA infrastructure variables (parks, sidewalks) within a rural region of the Midwest U.S. were mapped. Then, households (N = 112) of participants in the NU-HOME study, a childhood obesity prevention trial, were categorized to community-level and neighborhood-level PA built environment groups using two access indicators; Rural-Urban Commuting Area (RUCA) codes and Walk Scores®, respectively. Finally, households were categorized to new groups that combined community-level RUCA codes and neighborhood-level Walk Scores® to indicate the diverse ways in which rural families might access PA built environments, including by vehicle travel and pedestrian commuting. Household access to PA infrastructure (per geospatial proximity and density analyses), parent perceptions of the PA environment, and child PA were examined across the new combined access groups. All measures of household access to PA infrastructure significantly differed by group (p <.0001). Several parent PA perceptions differed by group; child PA did not. The present study provides future researchers with innovative strategies to map and examine how access to the PA built environment differs within a rural area. Due to the public availability of the access indicators used (RUCA codes, Walk Scores®), study methods can be replicated.

Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity

Ecological theories suggest that environmental, social, and individual factors interact to cause obesity. Yet, many analytic techniques, such as multilevel modeling, require manual specification of interacting factors, making them inept in their ability to search for interactions. This paper shows evidence that an explainable artificial intelligence approach, commonly employed in genomics research, can address this problem. The method entails using random intersection trees to decode interactions learned by random forest models. Here, this approach is used to extract interactions between features of a multi-level environment from random forest models of waist-to-height ratios using 11,112 participants from the Adolescent Brain Cognitive Development study. This study shows that methods used to discover interactions between genes can also discover interacting features of the environment that impact obesity. This new approach to modeling ecosystems may help shine a spotlight on combinations of environmental features that are important to obesity, as well as other health outcomes.

Disparities in Neighborhood Characteristics among U.S. Children with Secondhand and Thirdhand Tobacco Smoke Exposure

(1) Background: Home tobacco smoke exposure (TSE) and negative neighborhood characteristics adversely affect children’s overall health. The objective was to examine the associations of child TSE status and neighborhood characteristics among U.S. school-aged children. (2) Methods: We conducted a secondary analysis of the 2018–2019 National Survey of Children’s Health (NSCH) data including 17,300 U.S. children ages 6–11 years old. We categorized children’s home TSE status into: (a) no TSE: child did not live with a smoker; (b) thirdhand smoke (THS) exposure alone: child lived with a smoker who did not smoke inside the home; and (c) secondhand smoke (SHS) and THS exposure: child lived with a smoker who smoked inside the home. We conducted a series of weighted linear and logistic regression analyses to assess the associations between child TSE status and neighborhood characteristics, adjusting for covariates. (3) Results: Overall, 13.2% and 1.7% of children were exposed to home THS alone and home SHS and THS, respectively. Compared to children with no TSE, children with home THS exposure alone and children with home SHS and THS exposure had a significantly lower total number of neighborhood amenities and children with SHS and THS exposure had a significantly higher total number of detracting neighborhood elements. (4) Conclusions: Children with TSE demonstrate disparities in the characteristics of the neighborhood in which they live compared to children with no TSE. TSE reduction interventions targeted to children with TSE who live in these neighborhoods are warranted.