The role of neighborhood characteristics and the built environment in understanding racial/ethnic disparities in childhood obesity

Assessing Electronic Health Records for Describing Racial and Ethnic Health Disparities: A Research Note

The use of data derived from electronic health records (EHRs) to describe racial and ethnic health disparities is increasingly common, but there are challenges. While the number of patients covered by EHRs can be quite large, such patients may not be representative of a source population. One way to evaluate the extent of this limitation is by linking EHRs to an external source, in this case with the American Community Survey (ACS). Relying on a stratified random sample of about 200,000 patient records from a large, public, integrated health delivery system in North Carolina (2016-2019), we assess linkages to restricted ACS microdata (2001-2017) by race and ethnicity to understand the strengths and weaknesses of EHR-derived data for describing disparities. The results in this research note suggest that Black-White comparisons will benefit from standard adjustments (e.g., weighting procedures) but that misestimation of health disparities may arise for Hispanic patients because of differential coverage rates for this group.

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.

Body Mass Index Trajectories and Biomarkers of Cardiometabolic Risk in Children from Low-Income and Racially and Ethnically Diverse Households

Background: This study examined the associations between BMI trajectories and emerging cardiometabolic risk (CMR) in children living in low-income and racially and ethnically diverse households in the United States. Methods: Data were drawn from NET-Works randomized intervention trial and NET-Works 2 prospective follow-up study (N = 338). BMI was measured across 6 follow-up visits and biomarkers of cardiometabolic risk (CMR) at the sixth visit. Group-based trajectory modeling identified child BMI trajectories. Adjusted multivariable linear regressions evaluated the associations between BMI trajectories and CMR. Results: We identified two BMI trajectories: 25% followed a trajectory of steep BMI increase, and 75% followed a moderate decreasing BMI trajectory over time. Relative to children in the moderate decreasing trajectory, children in the increasing trajectory had higher adjusted mean levels of C-reactive protein [CRP; 3.3; 95% confidence interval (CI): 1.6 to 5.0], leptin (63.1; 95% CI: 44.3 to 81.8), triglycerides (35.4; 95% CI: 22.1 to 48.6), triglyceride/high-density lipoprotein (HDL) ratio (1.2; 95% CI: 0.8 to 1.6), hemoglobin A1c (HbA1C; 0.1; 95% CI: 0.03 to 0.2), fasting glucose (1.8; 0.1 to 3.5) and insulin (8.8; 95% CI: 6.5 to 11.0), overall CMR score (0.7; 95% CI: 0.5 to 0.9), and lower adiponectin (-1.3; 95% CI: -2.5 to -0.1) and HDL (-10.8; 95% CI: -14.3 to -7.4). Conclusions: Children with high BMIs early in childhood were more likely to maintain an accelerated BMI trajectory throughout childhood, which was associated with adverse CMR in pre-adolescence. To advance health equity and support children's healthy weight and cardiovascular health trajectories, public health efforts are needed to address persistent disparities in childhood obesity and CMR.

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.

The Built Environment and Pediatric Health

Buildings, parks, and roads are all elements of the "built environment," which can be described as the human-made structures that comprise the neighborhoods and communities where people live, work, learn, and recreate (https://www.epa.gov/smm/basic-information-about-built-environment). The design of communities where children and adolescents live, learn, and play has a profound impact on their health. Moreover, the policies and practices that determine community design and the built environment are a root cause of disparities in the social determinants of health that contribute to health inequity. An understanding of the links between the built environment and pediatric health will help to inform pediatricians' and other pediatric health professionals' care for patients and advocacy on their behalf. This technical report describes the range of pediatric physical and mental health conditions influenced by the built environment, as well as historical and persistent effects of the built environment on health disparities. The accompanying policy statement outlines community design solutions that can improve pediatric health and health equity, including opportunities for pediatricians and the health care sector to incorporate this knowledge in patient care, as well as to play a role in advancing a health-promoting built environment for all children and families.

Outdoor Time in Childhood: A Mixed Methods Approach to Identify Barriers and Opportunities for Intervention in a Racially and Ethnically Mixed Population

A growing body of literature suggests that outdoor time is beneficial for physical and mental health in childhood. Profound disparities exist in access to outdoor spaces (and the health benefits thereof) for children in communities of color. The objectives of this research were to: (1) identify challenges and solutions to outdoor time for children; (2) assess the importance of outdoor time for children; and (3) evaluate results stratified by race/ethnicity. Using a convergent mixed methods approach, we conducted a thematic analysis from 14 focus groups (n = 50) with outdoor educators, parents with children attending outdoor preschools, and community members with children. In addition, 49 participants completed a survey to identify challenges and solutions, perceived importance, and culturally relevant perspectives of outdoor time. The main challenges identified for outdoor time were safety concerns, inclement weather, lack of access to outdoor spaces, and parent work schedules. The primary proposed solution was integrating outdoor time into the school day. Nearly all participants, independent of racial identity, reported that outdoor time improved physical and mental health. Overall outdoor time was lower in participants from communities of color (~8 h/week) compared to their White counterparts (~10 h/week). While 50% of people of color (POC) reported that outdoor time was an important cultural value, only 18% reported that people in their respective culture spent time outside. This work contributes to accumulating knowledge that unique barriers to outdoor time exist for communities of color, and the children that live, learn, and play in these communities. Increasing outdoor time in school settings offers a potential solution to reduce identified barriers and to promote health equity in childhood.

Relating neighborhood deprivation to childhood obesity in the ABCD study: Evidence for theories of neuroinflammation and neuronal stress

OBJECTIVE

We evaluated whether relationships between area deprivation (ADI), body mass index (BMI) and brain structure (e.g., cortical thickness, subcortical volume) during preadolescence supported the immunologic model of self-regulation failure (NI) and/or neuronal stress (NS) theories of overeating. The NI theory proposes that ADI causes structural alteration in the brain due to the neuroinflammatory effects of overeating unhealthy foods. The NS theory proposes that ADI-related stress negatively impacts brain structure, which causes stress-related overeating and subsequent obesity.

METHOD

Data were gathered from the Adolescent Brain Cognitive Development Study (9 to 12 years old; n = 3,087, 51% male). Linear mixed-effects models identified brain regions that were associated with both ADI and BMI; longitudinal associations were evaluated with mediation models. The NI model included ADI and BMI at 9 to 10 years old and brain data at 11 to 12 years old. The NS model included ADI and brain data at 9 to 10 years old and BMI at 11 to 12 years old.

RESULTS

BMI at 9 to 10 years old partially mediated the relationship between ADI and ventral diencephalon (DC) volume at 11 to 12 years old. Additionally, the ventral DC at 9 to 10 years old partially mediated the relationship between ADI and BMI at 11 to 12 years old, even in youth who at baseline, were of a healthy weight. Results were unchanged when controlling for differences in brain structure and weight across the 2-years.

CONCLUSION

Greater area deprivation may indicate fewer access to resources that support healthy development, like nutritious food and nonstressful environments. Our findings provide evidence in support of the NI and NS theories of overeating, specifically, with greater ADI influencing health outcomes of obesity via brain structure alterations. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Role of neighborhood context in ovarian cancer survival disparities: current research and future directions

Ovarian cancer is the fifth leading cause of cancer-associated mortality among US women with survival disparities seen across race, ethnicity, and socioeconomic status, even after accounting for histology, stage, treatment, and other clinical factors. Neighborhood context can play an important role in ovarian cancer survival, and, to the extent to which minority racial and ethnic groups and populations of lower socioeconomic status are more likely to be segregated into neighborhoods with lower quality social, built, and physical environment, these contextual factors may be a critical component of ovarian cancer survival disparities. Understanding factors associated with ovarian cancer outcome disparities will allow clinicians to identify patients at risk for worse outcomes and point to measures, such as social support programs or transportation aid, that can help to ameliorate such disparities. However, research on the impact of neighborhood contextual factors in ovarian cancer survival and in disparities in ovarian cancer survival is limited. This commentary focuses on the following neighborhood contextual domains: structural and institutional context, social context, physical context represented by environmental exposures, built environment, rurality, and healthcare access. The research conducted to date is presented and clinical implications and recommendations for future interventions and studies to address disparities in ovarian cancer outcomes are proposed.

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.

International Consensus Statement on Obstructive Sleep Apnea

BACKGROUND

Evaluation and interpretation of the literature on obstructive sleep apnea (OSA) allows for consolidation and determination of the key factors important for clinical management of the adult OSA patient. Toward this goal, an international collaborative of multidisciplinary experts in sleep apnea evaluation and treatment have produced the International Consensus statement on Obstructive Sleep Apnea (ICS:OSA).

METHODS

Using previously defined methodology, focal topics in OSA were assigned as literature review (LR), evidence-based review (EBR), or evidence-based review with recommendations (EBR-R) formats. Each topic incorporated the available and relevant evidence which was summarized and graded on study quality. Each topic and section underwent iterative review and the ICS:OSA was created and reviewed by all authors for consensus.

RESULTS

The ICS:OSA addresses OSA syndrome definitions, pathophysiology, epidemiology, risk factors for disease, screening methods, diagnostic testing types, multiple treatment modalities, and effects of OSA treatment on multiple OSA-associated comorbidities. Specific focus on outcomes with positive airway pressure (PAP) and surgical treatments were evaluated.

CONCLUSION

This review of the literature consolidates the available knowledge and identifies the limitations of the current evidence on OSA. This effort aims to create a resource for OSA evidence-based practice and identify future research needs. Knowledge gaps and research opportunities include improving the metrics of OSA disease, determining the optimal OSA screening paradigms, developing strategies for PAP adherence and longitudinal care, enhancing selection of PAP alternatives and surgery, understanding health risk outcomes, and translating evidence into individualized approaches to therapy.

Social Determinants of Health and Body Mass Index in American Indian/Alaska Native Children

Objective: To examine the associations between social determinants of health (SDOH) and prevalent overweight/obesity status and change in adiposity status among American Indian and Alaska Native (AI/AN) children. Methods: The study sample includes 23,950 AI/AN children 2-11 years of age, who used Indian Health Service (IHS) from 2010 to 2014. Multivariate generalized linear mixed models were used to examine the following: (1) cross-sectional associations between SDOH and prevalent overweight/obesity status and (2) longitudinal associations between SDOH and change in adiposity status over time. Results: Approximately 49% of children had prevalent overweight/obesity status; 18% had overweight status and 31% had obesity status. Prevalent severe obesity status was 20% in 6-11-year olds. In adjusted cross-sectional models, children living in counties with higher levels of poverty had 28% higher odds of prevalent overweight/obesity status. In adjusted longitudinal models, children 2-5 years old living in counties with more children eligible for free or reduced-priced lunch had 15% lower odds for transitioning from normal-weight status to overweight/obesity status. Conclusions: This work contributes to accumulating knowledge that economic instability, especially poverty, appears to play a large role in overweight/obesity status in AI/AN children. Research, clinical practice, and policy decisions should aim to address and eliminate economic instability in childhood.

The role of exposure to per- and polyfluoroalkyl substances in racial/ethnic disparities in hypertension: Results from the study of Women's health across the nation

BACKGROUND

Racial/ethnic disparities in hypertension are a pressing public health problem. The contribution of environmental pollutants including PFAS have not been explored, even though certain PFAS are higher in Black population and have been associated with hypertension.

OBJECTIVES

We examined the extent to which racial/ethnic disparities in incident hypertension are explained by racial/ethnic differences in serum PFAS concentrations.

METHODS

We included 1058 hypertension-free midlife women with serum PFAS concentrations in 1999-2000 from the multi-racial/ethnic Study of Women's Health Across the Nation with approximately annual follow-up visits through 2017. Causal mediation analysis was conducted using accelerated failure time models. Quantile-based g-computation was used to evaluate the joint effects of PFAS mixtures.

RESULTS

During 11,722 person-years of follow-up, 470 participants developed incident hypertension (40.1 cases per 1000 person-years). Black participants had higher risks of developing hypertension (relative survival: 0.58, 95% CI: 0.45-0.76) compared with White participants, which suggests racial/ethnic disparities in the timing of hypertension onset. The percent of this difference in timing that was mediated by PFAS was 8.2% (95% CI: 0.7-15.3) for PFOS, 6.9% (95% CI: 0.2-13.8) for EtFOSAA, 12.7% (95% CI: 1.4-22.6) for MeFOSAA, and 19.1% (95% CI: 4.2, 29.0) for PFAS mixtures. The percentage of the disparities in hypertension between Black versus White women that could have been eliminated if everyone's PFAS concentrations were dropped to the 10th percentiles observed in this population was 10.2% (95% CI: 0.9-18.6) for PFOS, 7.5% (95% CI: 0.2-14.9) for EtFOSAA, and 17.5% (95% CI: 2.1-29.8) for MeFOSAA.

CONCLUSIONS

These findings suggest differences in PFAS exposure may be an unrecognized modifiable risk factor that partially accounts for racial/ethnic disparities in timing of hypertension onset among midlife women. The study calls for public policies aimed at reducing PFAS exposures that could contribute to reductions in racial/ethnic disparities in hypertension.

Obesity in Pediatric Congenital Heart Disease: The Role of Age, Complexity, and Sociodemographics

The prevalence of obesity in children with congenital heart disease (CHD) is greater than 25%, putting these patients at-risk for increased surgical morbidity and mortality. Our goal was to determine the association between CHD complexity, sociodemographic factors, and obesity. Our hypothesis was that among CHD patients, the odds of obesity would be highest in older children with simple CHD, and in all children with a lower socioeconomic status. We conducted a retrospective cohort study, reviewing electronic medical records of children aged 2-17 years from over 50 outpatient pediatric clinics in Houston, TX. Children were classified as simple or moderate/complex CHD, and obesity was defined by BMI ≥ 95th percentile for age and sex. Logistic regression was used to determine the association between sociodemographic factors and CHD complexity with obesity. We identified 648 CHD and 369,776 non-CHD patients. Children with simple CHD had a similar odds of obesity as non-CHD children. Children with CHD had a higher prevalence of obesity if they were older, male, Black, Hispanic, and publicly insured. Children with moderate/complex CHD had lower odds of obesity [OR 0.24 (95% CI 0.07-0.73)], however their predicted probability of obesity approached that of the general population as they aged. Additionally, there was an incremental relationship with poverty and obesity [1.01 (1.01-1.01)]. Awareness of which patients with CHD are at highest risk of obesity may help in targeting interventions to assist at-risk patients maintain a healthy lifestyle.

Neighborhood walkability and sex steroid hormone levels in women

BACKGROUND

Neighborhood walkability (NW) has been linked to increased physical activity, which in turn is associated with lower concentrations of sex hormones and higher concentration of SHBG in women. However, no study has directly examined the association of NW with female sex hormone levels.

OBJECTIVE

We conducted a cross-sectional study to evaluate the association between NW and circulating levels of sex hormones and SHBG in pre- and post-menopausal women.

METHODS

We included 797 premenopausal and 618 postmenopausal women from the New York University Women's Health Study (NYUWHS) who were healthy controls in previous nested case-control studies in which sex hormones (androstenedione, testosterone, DHEAS, estradiol and estrone) and SHBG had been measured in serum at enrollment. Baseline residential addresses were geo-coded and the Built Environment and Health Neighborhood Walkability Index (BEH-NWI) was calculated. Generalized Estimating Equations were used to assess the association between BEH-NWI and sex hormone and SHBG concentrations adjusting for individual- and neighborhood-level factors.

RESULTS

In premenopausal women, a one standard deviation (SD) increment in BEH-NWI was associated with a 3.5% (95% CI 0.9%-6.1%) lower DHEAS concentration. In postmenopausal women, a one SD increment in BEH-NWI was related to an 8.5% (95% CI 5.4%-11.5%) lower level of DHEAS, a 3.7% (95% CI 0.5%-6.8%) lower level of testosterone, a 1.8% (95% CI 0.5%-3.0%) lower level of estrone, and a 4.2% (95% CI 2.7%-5.7%) higher level of SHBG. However, the associations with respect to DHEAS and estrone became apparent only after adjusting for neighborhood-level variables. Sensitivity analyses using fixed effects meta-analysis and inverse probability weighting accounting for potential selection bias yielded similar results.

CONCLUSION

Our findings suggest that NW is associated with lower concentrations of androgens and estrone, and increased SHBG, in postmenopausal women, and lower levels of DHEAS in premenopausal women.

Residential Proximity to Urban Play Spaces and Childhood Overweight and Obesity in Barcelona, Spain: A Population-Based Longitudinal Study

Findings on the relationship between play spaces and childhood overweight and obesity are mixed and scarce. This study aimed to investigate the associations between residential proximity to play spaces and the risk of childhood overweight or obesity and potential effect modifiers. This longitudinal study included children living in the city of Barcelona identified in an electronic primary healthcare record database between 2011 and 2018 (N = 75,608). Overweight and obesity were defined according to the WHO standards and we used 300 m network buffers to assess residential proximity to play spaces. We calculated the risk of developing overweight or obesity using Cox proportional hazard models. A share of 29.4% of the study population developed overweight or obesity, but we did not find consistent associations between play space indicators and overweight or obesity. We did not find any consistent sign of effect modification by sex, and only some indications of the modifying role of area socioeconomic status and level of exposure. Although it is not possible to draw clear conclusions from our study, we call for cities to continue increasing and improving urban play spaces with an equitable, healthy, and child-friendly perspective.

Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008-2018

BACKGROUND

Large-scale longitudinal studies evaluating influences of the built environment on risk for type 2 diabetes (T2D) are scarce, and findings have been inconsistent.

OBJECTIVE

To evaluate whether land use environment (LUE), a proxy of neighborhood walkability, is associated with T2D risk across different US community types, and to assess whether the association is modified by food environment.

METHODS

The Veteran's Administration Diabetes Risk (VADR) study is a retrospective cohort of diabetes-free US veteran patients enrolled in VA primary care facilities nationwide from January 1, 2008, to December 31, 2016, and followed longitudinally through December 31, 2018. A total of 4,096,629 patients had baseline addresses available in electronic health records that were geocoded and assigned a census tract-level LUE score. LUE scores were divided into quartiles, where a higher score indicated higher neighborhood walkability levels. New diagnoses for T2D were identified using a published computable phenotype. Adjusted time-to-event analyses using piecewise exponential models were fit within four strata of community types (higher-density urban, lower-density urban, suburban/small town, and rural). We also evaluated effect modification by tract-level food environment measures within each stratum.

RESULTS

In adjusted analyses, higher LUE had a protective effect on T2D risk in rural and suburban/small town communities (linear quartile trend test p-value <0.001). However, in lower density urban communities, higher LUE increased T2D risk (linear quartile trend test p-value <0.001) and no association was found in higher density urban communities (linear quartile trend test p-value = 0.317). Particularly strong protective effects were observed for veterans living in suburban/small towns with more supermarkets and more walkable spaces (p-interaction = 0.001).

CONCLUSION

Among veterans, LUE may influence T2D risk, particularly in rural and suburban communities. Food environment may modify the association between LUE and T2D.

Costs, Reach, and Benefits of COVID-19 Pandemic Electronic Benefit Transfer and Grab-and-Go School Meals for Ensuring Youths' Access to Food During School Closures

IMPORTANCE

School meals are associated with improved nutrition and health for millions of US children, but school closures due to the COVID-19 pandemic disrupted children's access to school meals. Two policy approaches, the Pandemic Electronic Benefit Transfer (P-EBT) program, which provided the cash value of missed meals directly to families on debit-like cards to use for making food purchases, and the grab-and-go meals program, which offered prepared meals from school kitchens at community distribution points, were activated to replace missed meals for children from low-income families; however, the extent to which these programs reached those who needed them and the programs' costs were unknown.

OBJECTIVE

To assess the proportion of eligible youths who were reached by P-EBT and grab-and-go meals, the amount of meals or benefits received, and the cost to implement each program.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study was conducted from March to June 2020. The study population was all US youths younger than 19 years, including US youths aged 6 to 18 years who were eligible to receive free or reduced-price meals (primary analysis sample).

EXPOSURES

Receipt of P-EBT or grab-and-go school meals.

MAIN OUTCOMES AND MEASURES

The main outcomes were the percentage of youths reached by P-EBT and grab-and-go school meals, mean benefit received per recipient, and mean cost, including implementation costs and time costs to families per meal distributed.

RESULTS

Among 30 million youths eligible for free or reduced-price meals, grab-and-go meals reached an estimated 8.0 million (27%) and P-EBT reached 26.9 million (89%). The grab-and-go school meals program distributed 429 million meals per month in spring 2020, and the P-EBT program distributed $3.2 billion in monthly cash benefits, equivalent to 1.1 billion meals. Among those receiving benefits, the mean monthly benefit was larger for grab-and-go school meals ($148; range across states, $44-$176) compared with P-EBT ($110; range across states, $55-$114). Costs per meal delivered were lower for P-EBT ($6.46; range across states, $6.41-$6.79) compared with grab-and-go school meals ($8.07; range across states, $2.97-$15.27). The P-EBT program had lower public sector implementation costs but higher uncompensated time costs to families (eg, preparation time for meals) compared with grab-and-go school meals.

CONCLUSIONS AND RELEVANCE

In this economic evaluation, both the P-EBT and grab-and-go school meal programs supported youths' access to food in complementary ways when US schools were closed during the COVID-19 pandemic from March to June 2020.

Examination of the Interaction between Parental Military-Status and Race among Non-Hispanic Black and Non-Hispanic White Adolescents with Overweight/Obesity

OBJECTIVES

Adolescent military-dependents experience distinct risk and protective factors, which may necessitate additional clinical considerations. In civilian youth, overweight/obesity is associated with eating, internalizing, and externalizing difficulties, with some studies reporting more difficulties among non-Hispanic White (vs. non-Hispanic Black) youth. It is unknown if these disparities exist among adolescent military-dependents, or between civilian and military-dependent youth.

METHODS

Non-Hispanic Black (187 civilian, 38 military-dependent) and non-Hispanic White (205 civilian, 84 military-dependent) adolescents with overweight/obesity (14.7 ± 1.6 years; 73.9% girls; body mass index adjusted for age and sex 1.9 ± 0.5) completed a disordered-eating interview; parents completed a measure assessing their child's internalizing and externalizing difficulties. Multiple linear regressions examined parental military-status as a moderator of the relationship of participant race with eating, internalizing, and externalizing difficulties.

RESULTS

White civilian youth with overweight/obesity reported significantly greater disordered-eating than their Black peers (p < .001); there were no other significant racial differences. In all regressions, parental military-status significantly moderated the association between race and each dependent variable (ps < .047). Black military-dependents (vs. civilians) reported more disordered-eating and internalizing difficulties (ps = .01). White military-dependents (vs. civilians) reported fewer externalizing difficulties (p = .01).

CONCLUSIONS

Black adolescent military-dependents with overweight/obesity may experience more eating and internalizing difficulties (vs. civilians), a pattern not observed among White participants. Future work should examine if being a military-dependent and a historically marginalized racial group member accounts for these findings. Such data may inform providers of youth with intersecting minority identities.

Obesity Incidence in U.S. Children and Young Adults: A Pooled Analysis

INTRODUCTION

Obesity prevalence among children and adolescents has risen sharply, yet there is a limited understanding of the age-specific dynamics of obesity as there is no single nationally representative cohort following children into young adulthood. Investigators constructed a pooled data set of 5 nationally representative panels and modeled age-specific obesity incidence from childhood into young adulthood.

METHODS

This longitudinal prospective follow-up used 718,560 person-years of observation in a pooled data set of 5 high-quality nationally representative panels-National Longitudinal Survey of Youth 1979 and 1997, National Longitudinal Study of Adolescent Health, and Early Childhood Longitudinal Study-Kindergarten cohorts of 1998 and 2011-constructed by the authors, covering 1980-2016. Differences in obesity incidence across birth cohorts and disparities in obesity incidence by sex and race/ethnicity (non-Hispanic Black, Hispanic, and non-Hispanic White) were tested in multivariate models. Data were analyzed from September 2018 to October 2021.

RESULTS

Obesity incidence increased by approximately 6% for each 1 year of age (hazard ratio=1.06, 95% CI=1.05, 1.07); however, incidence was nonlinear, exhibiting an inverted "U"-shaped pattern before 15 years of age and then rising from adolescence through 30 years. Obesity incidence more than doubled between the cohorts born in 1957-1965 and those born in 1974-1985 during adolescence. There was no significant change among those born in 1991-1994 and 2003-2006 up to age 15 years. Compared with non-Hispanic White children, non-Hispanic Black and Hispanic children had higher obesity incidence in all study cohorts. The magnitude of these disparities on the relative scale remained stable throughout the study period.

CONCLUSIONS

Although many children become obese before the age of 10, obesity incidence rises from about 15 years into early adulthood, suggesting that interventions are required at multiple developmental stages.

Obesity prevention across the US: A review of state‐level policies from 2009 to 2019

Objective

Uniquely, state legislators may enact obesity prevention policies tailored to each state's needs and take diverse policy approaches to address obesity prevalence. The objective of this study was to identify and describe state-level obesity-related policies between 2009 and 2019.

Methods

Using a database of legislation covering 2009-2019, researchers categorized obesity-related legislation by status (proposed/enacted), topic, and environment impacted. Researchers determined the number of policies proposed; enacted, by political party control; obesity prevalence, by states over time.

Results

3256 obesity-related policies were proposed among 50 states and Washington DC between 2009 and 2019. Collectively, 18% (593) of policies were enacted; California (96), New and Jersey (57) enacted the most. Across environment and topics, the most enacted policies categorized in school environment (226) and school nutrition (150) topic area. Most policies were proposed (496) and enacted (77) in 2011. On average, Democrat-controlled states had higher enactment rates than Republican-controlled states, as did states with lower (vs. higher) obesity prevalence.

Conclusions

States have actively pursued obesity-related legislation across multiple topics and environments from 2009 to 2019, with mixed enactment rates. Evaluating the impact of these policies, alone and in combination, will be important to determine whether these state-level efforts reduce obesity.

Physical Activity and Screen Time Practices of Family Child Care Providers: Do They Meet Best Practice Guidelines?

Background: Child care settings significantly influence children's physical activity (PA) and screen time (ST) behaviors, yet less research has been conducted in family child care homes (FCCHs) than in child care centers. While a few studies have measured family child care providers' (FCCPs') PA practices, none have used observation to assess which specific evidence-based, best practice guidelines FCCPs met or did not meet, and no previous studies have included Latinx providers. This article examines FCCPs' adherence to PA and ST best practice guidelines using primarily observational methods with diverse FCCPs (including Latinx). Methods: We examined baseline data from a cluster randomized trial including surveys and observational data collected at the FCCH to assess whether providers met specific PA and ST best practices from the Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) and the American Academy of Pediatrics. Results: Providers completed a telephone survey and participated in two full-day observations (n = 127; 72% Hispanic). Overall, only 4 of 14 PA and ST best practices were met by >50% of providers including: leading a planned PA class more than once a week; no ST during meal or snack; not modeling sedentary behavior; and providing families with information about children's ST. Best practices least likely to be met (<20% of providers) include: providing children with >60 minutes of outdoor play daily; providing children with >45 minutes of adult-led PA each day; participating in outdoor PA with children; participating in indoor PA with children; prompting and praising children for being active; and talking with children informally about the importance of PA. Conclusions: While FCCPs engage in some positive PA and ST practices, many providers do not meet best practice guidelines. There is a need for more research about how to overcome providers' personal and environmental barriers for meeting these guidelines as well as interventions and supports to overcome these barriers. Clinical Trial Registration Number NCT0245645.

A multi-component tailored intervention in family childcare homes improves diet quality and sedentary behavior of preschool children compared to an attention control: results from the Healthy Start-Comienzos Sanos cluster randomized trial

BACKGROUND

Childcare settings are important environments for influencing child eating and physical activity (PA). Family childcare homes (FCCH) care for many children of low-income and diverse racial/ethnic backgrounds who are at greater risk for poor diet quality, low PA, and obesity, but few interventions have targeted this setting. The aim of this study was to assess the efficacy of a multicomponent intervention conducted in FCCH on the diet quality and PA of 2-5 year old children in their care.

TRIAL DESIGN

Cluster randomized trial.

METHODS

The cluster-randomized trial, Healthy Start/Comienzos Sanos (2015-2019) evaluated an 8-month nutrition and PA intervention that included four components: (1) monthly telephone calls from a support coach using brief motivational interviewing, (2) tailored reports, newsletters and videos, (3) group support meetings, and (4) active play toys. After completing baseline measurement, FCCH were randomized into intervention or comparison groups in matched pairs. Both groups received the same intervention components but on different topics (intervention: nutrition/PA vs. comparison: reading readiness/literacy). Evaluation staff were blinded to group assignment. Child primary outcome measures collected at baseline and 8-months included: 1) Healthy Eating Index (HEI-2015) scores calculated from diet observation, and 2) accelerometer measurement of PA. Process measures were collected from field data and provider surveys. Generalized Estimating Equation Models assessed changes in HEI-2015 scores and PA over time by experimental condition.

RESULTS

Ethnically diverse FCCH providers (n = 119) and 2-to-5-year-old children in their care (n = 377) were included in the final analysis. Process evaluation showed high participation in all intervention components except for group meetings. Compared to children in comparison group FCCH, children in intervention FCCH increased total HEI-2015 scores by 7.2 points (p < .001) including improvement in component scores for vegetables (0.84 points, p = .025) and added sugar (0.94 points, p = .025). For PA, compared to children in the comparison group, children in intervention FCCH decreased sedentary time by 5.7% (p = .021).

CONCLUSIONS

The multicomponent Healthy Start intervention was effective in improving diet quality and sedentary behavior of children in FCCH, which demonstrates the promise of obesity prevention interventions in this setting. Future research could include enhancing the Healthy Start intervention to strengthen the PA component, considering virtual peer support, and determining how to best translate and disseminate the intervention into FCCH nationally.

TRIAL REGISTRATION

National Institutes of Health, NCT02452645 . Registered 5 May 2015.

An electronic medical records study of population obesity prevalence in El Paso, Texas

BACKGROUND

In this study, we determine the feasibility of using electronic medical record (EMR) data to determine obesity prevalence at the census tract level in El Paso County, Texas, located on the U.S.-Mexico border.

METHODS

2012-2018 Body Mass Index (BMI kg/m²) data from a large university clinic system in was geocoded and aggregated to a census tract level. After cleaning and removing duplicate EMR and unusable data, 143,524 patient records were successful geocoded. Maps were created to assess representativeness of EMR data across census tracts, within El Paso County. Additionally, maps were created to display the distribution of obesity across the same geography.

RESULTS

EMR data represented all but one El Paso census tract. Representation ranged from 0.7% to 34.9%. Greatest representation were among census tracts in and around clinics. The mean EMR data BMI (kg/m²) was 30.1, this is approximately 6% less than the 36.0% estimated for El Paso County using the Behavioral Risk Factor Surveillance Study (BRFSS) estimate. At the census tract level, obesity prevalence ranged from 26.6 to 57.6%. The highest obesity prevalence were in areas that tended to be less affluent, with a higher concentration of immigrants, poverty and Latino ethnic concentration.

CONCLUSIONS

EMR data use for obesity surveillance is feasible in El Paso County, Texas, a U.S.-Mexico border community. Findings indicate substantial obesity prevalence variation between census tracts within El Paso County that may be associated with population distributions related to socioeconomics.

The impact of neighborhood context on telomere length: A systematic review

A growing body of research demonstrates the association between neighborhood context and health. The underlying biological mechanisms of this association are not fully understood. We conducted a systematic review of studies that investigated the association between neighborhood context and telomere length (TL), a DNA-protein complex that shortens after cell division. Short TL is linked to age-related diseases and may be impacted by chronic stress. Nineteen eligible articles identified through PubMed and Scopus met inclusion criteria. Results demonstrated inconsistent support for the relationship between neighborhood disadvantage and short TL. However, findings across several studies provide evidence for an inverse association between perceived neighborhood problems and TL, suggesting that TL may be an important factor in understanding health vulnerabilities associated specifically with negative perceptions of the neighborhood context.

Association Between Neighborhood Disadvantage and Pediatric Readmissions

OBJECTIVE

Although individual-level social determinants of health (SDH) are known to influence 30-day readmission risk, contextual-level associations with readmission are poorly understood among children. This study explores associations between neighborhood disadvantage measured by Area Deprivation Index (ADI) and pediatric 30-day readmissions.

METHODS

This retrospective cohort study included discharges of patients aged < 20 years from Maryland's 2013-2016 all-payer dataset. The ADI, which quantifies 17 indicators of neighborhood socioeconomic disadvantage within census block groups, is used as a proxy for contextual-level SDH. Readmissions were identified with the 30-day Pediatric All-Condition Readmissions measure. Associations between ADI and readmission were identified with generalized estimating equations adjusted for patient demographics and clinical severity (Chronic Condition Indicator [CCI], Pediatric Medical Complexity Algorithm [PMCA], Index Hospital All Patients Refined Diagnosis Related Groups [APR-DRG]), and hospital discharge volume.

RESULTS

Discharges (n = 138,998) were mostly female (52.7%), publicly insured (55.1%), urban-dwelling (93.0%), with low clinical severity levels (0-1 CCIs [82.3%], minor APR-DRG severity [48.4%]). Overall readmission rate was 4.0%. Compared to the least disadvantaged ADI quartile, readmissions for the most disadvantaged quartile were significantly more likely (aOR 1.19, 95% CI 1.09-1.30). After adjustment, readmissions were associated with public insurance and indicators of medical complexity (higher number of CCIs, complex-chronic disease PMCA, and APR-DRG severity).

CONCLUSION

In this all-payer, statewide sample, living in the most socioeconomically disadvantaged neighborhoods independently predicted pediatric readmission. While the relative magnitude of neighborhood disadvantage was modest compared to medical complexity, disadvantage is modifiable and thus represents an important consideration for prevention and risk stratification efforts.

Drivers to Obesity-A Study of the Association between Time Spent Commuting Daily and Obesity in the Nepean Blue Mountains Area

Obesity has become a public health challenge in every country on this planet, with a substantial contribution to global mortality and morbidity. Studies of the built environment have shown some promise in understanding the drivers of this obesity pandemic. This paper contributes to this knowledge, by focusing on one aspect of the urban environment and asking whether there is an association between commuting and obesity in residents of the Nepean Blue Mountains area on the fringes of Sydney. This is a cross-sectional study with obesity being the dependent variable, and commuting the independent variable, where 45 min or less was defined as local and distant commute was more than 45 min. In the sample of 158 respondents, the risk of obesity was twice as likely in the distant commuters than in the local commuters (OR 2.04, 95% CI 1.051 to 3.962, p = 0.034). Investigation of possible mediators of this association was limited by sample size; however, mode of transport was found to be a significant mediator. The results support the design of cities to provide health supporting environments for all residents, including equitable access to employment at a reasonable distance and effective public transport.

Individual and Collective Positive Health Behaviors and Academic Achievement Among U.S. High School Students, Youth Risk Behavior Survey 2017

PURPOSE

We examined associations between academic grades and positive health behaviors, individually and collectively, among U.S. high school students.

DESIGN

Cross-sectional study design.

SETTING

Data were from the 2017 national Youth Risk Behavior Survey. Response rates were 75% for schools, 81% for students, and 60% overall (n = 14,765 students).

SUBJECTS

Youth in grades 9th-12th.

MEASURES

We focused on youth behaviors that can prevent or delay the onset of chronic health conditions. Seven dietary, 3 physical activity, 2 sedentary screen time, and 4 tobacco product use behaviors were assessed. Variables were dichotomized (0/1) to indicate that a score was given to the positive health behavior response (e.g.,, did not smoke cigarettes = 1). A composite score was created by summing each positive health behavior response among 16 total health behaviors.

ANALYSIS

Multivariable logistic regression analyses for each individual health behavior, and a multivariable negative binomial regression for the composite score, were conducted with self-reported academic grades, controlling for sex, grade in school, race/ethnicity, and body mass index (BMI) categories.

RESULTS

Controlling for covariates, students who reported mostly A's had 2.0 (P < .001) more positive health behaviors; students who reported mostly B's had 1.3 (P < .001) more positive health behaviors; and students who reported mostly C's had .78 (P < .001) more positive health behaviors, compared to students who reported mostly D's/F's.

CONCLUSIONS

Higher academic grades are associated with more positive individual and cumulative health behaviors among high school students. Understanding these relationships can help inform efforts to create a healthy and supportive school environment and strive for health equity.

Distribution of comorbidities as primary diagnoses by obesity class among patients in a large US paediatric healthcare system

There is little documentation of the distribution of specific health conditions across obesity classes (I, II, III), especially for paediatric populations who are seen for routine care in large United States US healthcare systems. The aim of this study was to assess the odds of presenting ≥2 obesity-related comorbidities as well as assess the overall distribution of these co-morbidities in children by class I/II/III obesity status controlling for key sociodemographic characteristics. This retrospective (2015-2019) electronic health record review analysed 49 276 patients from the Children's Health System of Texas diagnosed with obesity-related health conditions by obesity status (no obesity, class I, II, III). Crude and adjusted logistic regression models examined the association between obesity class and the likelihood of ≥2 comorbidities as primary diagnoses. Patients with class I obesity were 22% more likely (OR 1.22, 95% CI, 1.16, 1.27), patients with class II obesity were almost 50% more likely (OR 1.44, 95% CI, 1.35, 1.53) and those with class III obesity twice as likely (OR 2.04, 95% CI 1.91, 2.18) to be diagnosed with ≥2 comorbidities as primary diagnoses, compared with patients classified with no obesity. Children with obesity, particularly severe obesity, should be monitored closely by paediatricians for possible diagnoses of risk factors that could lead to adult chronic disease.

Characteristics of achieving clinically important weight loss in two paediatric weight management interventions

OBJECTIVE

To examine characteristics and lifestyle behaviours associated with achieving clinically important weight loss (CIWL) in two paediatric weight management interventions (PWMIs).

METHODS

We examined 1010 children enrolled in the STAR and Connect for Health trials. We defined achieving CIWL as any participant who had decreased their BMI z-score by ≥0.2 units over 1 year. Using log-binomial regression we examined associations of child and household characteristics and lifestyle behaviours with achieving CIWL.

RESULTS

In multivariable analyses, children with severe obesity had a lower likelihood of achieving CIWL compared to children without severe obesity (RR: 0.68 [95% CI: 0.49, 0.95]). Children who were ≥10 years were less likely to achieve CIWL (RR: 0.56 [95% CI: 0.42, 0.74]) vs those 2-6 years of age. Children who consumed <1 sugary beverage per day at the end of the intervention were more likely to achieve CIWL vs those who did not meet the goal (RR: 1.36 [95% CI 1.09-1.70]).

CONCLUSION

In this analysis of children enrolled in PWMIs, achieving CIWL was associated with younger age, not having severe obesity and consuming fewer sugary beverages at the end of the intervention. Focusing on intervening earlier in life, when a child is at a lower BMI, and reducing sugary beverages could allow for more effective PWMI's.

Cultural Influences on Healthy Weight Care in Karen Children

PURPOSE

Although the rates of childhood obesity are disproportionately higher in children of racial and ethnic minorities, research rarely addresses possible cultural factors. The purpose of this study was to discover cultural influences that contribute to or prevent childhood obesity from the perspectives of Burmese-American children and adolescents of Karen ethnicity in the southeast U.S.

DESIGN AND METHODS

The ethnonursing research method was used to seek perspectives of healthy weight care from Karen children between 8 and 15 years-of-age (n = 10). Karen parents (n = 5) and non-Karen community members (n = 13) were also interviewed. Data sources - interviews, fieldnotes, and observation notes - were analyzed using the four phases of the ethnonursing method.

RESULTS

Four themes important to healthy weight care in Karen children were discovered: views of a healthy child, food and food preparation, physical activity, and mutual support among family and community. These themes revealed both Karen and non-Karen influences.

CONCLUSIONS

Most Karen cultural influences promote healthy weight care in Karen children and adolescents which may protect them from childhood obesity. Lack of after-school transportation, limited space to play/exercise, and the sedentary tendencies of girls could limit healthy weight care.

PRACTICE IMPLICATIONS

Pediatric nurses may use knowledge gained from this study for promotion of healthy weight care in Karen families and to advocate for community changes which could benefit all children.

Changes in High Weight-for-Length among Infants Enrolled in Special Supplemental Nutrition Program for Women, Infants, and Children during 2010-2018

Background: Infants and young children with high weight-for-length are at increased risk for obesity in later life. This study describes prevalence of high weight-for-length and examines changes during 2010-2018 among 11,366,755 infants and young children 3-23 months of age in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). Methods: Children's weights and lengths were measured. High weight-for-length was defined as ≥2 standard deviations above sex and age-specific median on World Health Organization growth charts. Adjusted prevalence differences (APDs) between years were calculated as 100 times marginal effects from logistic regression models. APD was statistically significant if 95% confidence interval did not include 0. Results: Adjusted prevalence of high weight-for-length decreased from 2010 to 2014, and leveled off through 2018 overall, in boys and girls, those 6-11 and 18-23 months of age, and non-Hispanic whites, non-Hispanic blacks, Hispanics, and Asians/Pacific Islanders. For 12-17 months old and American Indian/Alaska Native infants and young children, adjusted prevalence decreased from 2010 to 2014, and then increased slightly through 2018. Among 56 WIC state or territorial agencies, 33 had significant decreases between 2010 and 2018, whereas 8 had significant increases. Between 2014 and 2018, prevalence decreased significantly in 12 agencies and increased significantly in 23. Conclusions: The results indicate overall declines in prevalence of high weight-for-length from 2010 to 2018, with a prevalence stabilization since 2014. Continued surveillance is needed. Obesity prevention strategies in WIC and multiple settings are important for ensuring healthy child growth.

A longitudinal analysis of relationships between neighborhood context and underserved children's physical activity in a rapidly growing city

Neighborhood context, which may be impacted by urban growth or residential mobility, is associated with childhood physical activity. This secondary analysis examined associations of objectively measured neighborhood characteristics with young children’s moderate-to-vigorous physical activity (MVPA) and sedentary/rest time (SRT) over a period of rapid infrastructure change.

Underserved preschoolers (n = 426) from a 36-month obesity prevention intervention were included in a secondary analysis (2019–2020). Based on household addresses, participants were coded as movers or non-movers and linked to four neighborhood variables: 1) distance to recreation sites, 2) annual crimes, 3) annual stray dogs, and 4) Gini index of income inequality. Accelerometry captured MVPA and SRT at baseline and 36 months. Baseline-to-follow-up neighborhood variables within moved and non-moved groups were compared. Multivariable regression assessed associations between follow-up MVPA/SRT and neighborhood variables.

45.3% of participants (n = 193) moved. Distance to the closest recreation site decreased significantly for non-movers (0.75 to 0.72 mi, p < 0.001). Nearby crimes significantly decreased for both groups (movers: 90 to 80, p < 0.001; non-movers: 77 to 74, p < 0.001) as did stray dogs (movers: 36 to 15, p < 0.001; non-movers: 36 to 18, p < 0.001). Neighborhood income inequality decreased significantly for movers (0.41 to 0.38, p = 0.03). Child MVPA minutes/day significantly decreased over time from median = 84.7 [Q1 = 64.1, Q3 = 103.9] to median = 73.6 [Q1 = 56.1, Q3 = 96.0], p < 0.001). No significant associations were detected between neighborhood variables and child physical activity.

In a rapidly growing county, neighborhood context generally improved over time regardless of move status. Within this context, no associations between neighborhood characteristics and MVPA/SRT were detected in children.

Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania

BACKGROUND

Prevalence of childhood overweight and obesity in low- and middle-income countries is on the rise. We focused on multiple factors which could influence body mass index.

METHODS

A cross sectional school-based study was conducted in Moshi, Tanzania. Primary school children aged 9-11 years were recruited from 20 schools through a multistage sampling technique. Questionnaires were used to collect information on physical activity and diet by food frequency questionnaire. Height and weight measurements were taken and body mass index z scores for age and sex (BMIZ) calculated using the WHO AnthroPlus. Children were considered thin if BMIZ was <-2 standard deviations and overweight or obese if BMIZ was >1 SD. Information on school policies and environment was obtained from headteachers. Correlates of overweight and obesity were examined using a multinomial multilevel logistic regression.

RESULTS

A total of 1170 primary school children, of whom 636 (54%) were girls, were recruited from 20 schools. The prevalence of overweight and obesity was 15% overall (overweight 9% and obesity 6%) and most prevalent in urban areas (23%) and in private schools (24%). Moreover, thinness was found to be (10%) overall, most prevalent in rural areas (13%) and in government schools (14%). At school level, residing in urban (adjusted relative risk ratio [aRRR] 3.76; 95% confidence interval [CI] 2.49,5.68) and being in private school (aRRR 4.08; 95% CI 2.66,6.25) were associated with a higher risk of overweight and obesity while availability of playgrounds in schools (aRRR 0.68; 95% CI 0.47, 0.97) was associated with a lower risk of overweight and obesity. At home level, availability of sugary drinks (aRRR 1.52; 95% CI 1.01,2.28) was associated with a higher risk of overweight and obesity.

CONCLUSION

Overweight and obesity are common in private schools and in urban settings. Efforts should be taken to ensure availability of playgrounds in schools and encouraging children to engage in physical activities.

Prediction of early childhood obesity with machine learning and electronic health record data

OBJECTIVE

This study compares seven machine learning models developed to predict childhood obesity from age > 2 to ≤ 7 years using Electronic Healthcare Record (EHR) data up to age 2 years.

MATERIALS AND METHODS

EHR data from of 860,510 patients with 11,194,579 healthcare encounters were obtained from the Children's Hospital of Philadelphia. After applying stringent quality control to remove implausible growth values and including only individuals with all recommended wellness visits by age 7 years, 27,203 (50.78 % male) patients remained for model development. Seven machine learning models were developed to predict obesity incidence as defined by the Centers for Disease Control and Prevention (age/sex adjusted BMI>95th percentile). Model performance was evaluated by multiple standard classifier metrics and the differences among seven models were compared using the Cochran's Q test and post-hoc pairwise testing.

RESULTS

XGBoost yielded 0.81 (0.001) AUC, which outperformed all other models. It also achieved statistically significant better performance than all other models on standard classifier metrics (sensitivity fixed at 80 %): precision 30.90 % (0.22 %), F1-socre 44.60 % (0.26 %), accuracy 66.14 % (0.41 %), and specificity 63.27 % (0.41 %).

DISCUSSION AND CONCLUSION

Early childhood obesity prediction models were developed from the largest cohort reported to date. Relative to prior research, our models generalize to include males and females in a single model and extend the time frame for obesity incidence prediction to 7 years of age. The presented machine learning model development workflow can be adapted to various EHR-based studies and may be valuable for developing other clinical prediction models.

Female adolescents with overweight and obesity share their perspectives on the clinical setting and weight management

The clinical setting remains a strategic environment for early assessment, identification and treatment of adolescents with obesity. Yet, healthcare providers' (HCPs) efforts have been unsuccessful in improving physical activity, nutritional intake or body mass index in adolescents with obesity. Obesity is a chronic condition that influences how patients interact with HCPs and experience ambulatory healthcare appointments. However, it is unknown how female adolescents with obesity perceive the clinical setting, especially regarding weight management. The purpose of this study was to explore the perceptions of female adolescents with obesity regarding health and weight management in the clinical setting. Using a qualitative design, 28 English-speaking female adolescents, 13 to 19 years of age, with a body mass index ≥85th percentile for height and weight participated in individual interviews. Results demonstrate that adolescents with obesity desire to be recognized as unique individuals and to be involved in their own health conversations. The participants reported that their health care was inadequate when they received impersonal and vague advice from HCPs on weight loss. Weight-related communication was best received in a kind and empathetic manner, with a focus on improving one's health (instead of losing weight). Adolescents in this study articulated the components of healthy eating and physical exercise, yet were unable to synthesize this knowledge into specific dietary practices and daily physical activities. The insights derived from female adolescents with obesity provide guidance on how HCPs can improve their relationship and engage the adolescent in weight-based discussions. Concrete, actionable recommendations are provided for providers who work with female adolescents who are overweight or obese.

Racial-Ethnic Disparities in Obesity and Biological, Behavioral, and Sociocultural Influences in the United States: A Systematic Review

For a comprehensive understanding of high-level obesity in the USA, we studied the trends of obesity prevalence since 2007, and related biological, behavioral, and sociocultural factors in obesity racial/ethnic disparities. We searched PubMed, Embase, and national data archives for the studies using national survey data and published in English from January 1, 2007 to September 11, 2020. Forty-seven studies met the inclusion criteria and were systematically reviewed. After a short leveling-off during 2009-2012, the US national prevalence of obesity has steadily increased. Although women had higher racial/ethnic disparities in obesity and severe obesity than men, it decreased due to the significant drop in non-Hispanic black (NHB) women in the last 10 y. However, obesity and severe obesity prevalence increased in Mexican-American (MA) men, MA boys, and MA girls and became similar to or surpassing NHB groups. Substantial racial/ethnic disparities remained in the past decade. Even at the same level of BMI, MAs and non-Hispanic Asians had a higher percent of body fat and metabolic syndrome than other ethnic/racial groups. NHB's cultural preference for a large body significantly associated weight misperception and lower weight control practices. In addition to socioeconomic status, health behaviors, neighborhood environments, and early childhood health factors explained substantial racial/ethnic differences in obesity. Differences in biological, behavioral, and sociocultural characteristics should be considered in future public health intervention efforts to combat obesity in the USA.

Changes in the Recreational Built Environment and Youth Body Mass Index

OBJECTIVE

Many cities have implemented programs to improve the recreational built environment. We evaluated whether neighborhood recreational built environmental changes are associated with change in body mass index (BMI).

METHODS

We performed a longitudinal assessment of association between the recreational built environment and BMI percent of 95th percentile (BMIp95). Patient data from 2012 to 2017 were collected from electronic medical records including height, weight, sex, race/ethnicity, insurance type, and address. BMIp95 was calculated. Environmental data including sidewalks, trails, Healthy Mile Trails, and parks were collected. Patients' neighborhood environments were characterized using proximity of features from home address. Multilevel linear regressions with multiple encounters per patient estimated effects of recreational features on BMIp95 and stratified models estimated effect differences.

RESULTS

Of 8282 total patients, 27.7% were non-Hispanic White, half were insured by Medicaid, and 29.5% changed residence. Median BMIp95 was 86.3%. A decrease in BMIp95 was associated with park proximity in the full cohort (-2.85; 95% CI [confidence interval]: -5.47, -0.24; P = .032), children with obesity at baseline (-6.50; 95% CI: -12.36, -0.64; P = .030) and privately insured children (-4.77; 95% CI: -9.14, -0.40; P = .032). Healthy Mile Trails were associated with an increase in BMIp95 among children without obesity (1.00; 95% CI 0.11, 1.89; P = .027) and children living in higher income areas (6.43; 95% CI: 0.23, 12.64; P = .042).

CONCLUSIONS

Differences in effect indicate that built environment changes may improve or exacerbate disparities. Improving obesity disparities may require addressing family-level barriers to the use of recreational features in addition to proximity.

Childhood Obesity Evidence Base Project: A Systematic Review and Meta-Analysis of a New Taxonomy of Intervention Components to Improve Weight Status in Children 2-5 Years of Age, 2005-2019

Objective: To evaluate the efficacy of childhood obesity interventions and conduct a taxonomy of intervention components that are most effective in changing obesity-related health outcomes in children 2-5 years of age. Methods: Comprehensive searches located 51 studies from 18,335 unique records. Eligible studies: (1) assessed children aged 2-5, living in the United States; (2) evaluated an intervention to improve weight status; (3) identified a same-aged comparison group; (4) measured BMI; and (5) were available between January 2005 and August 2019. Coders extracted study, sample, and intervention characteristics. Effect sizes [ESs; and 95% confidence intervals (CIs)] were calculated by using random-effects models. Meta-regression was used to determine which intervention components explain variability in ESs. Results: Included were 51 studies evaluating 58 interventions (N = 29,085; mean age = 4 years; 50% girls). Relative to controls, children receiving an intervention had a lower BMI at the end of the intervention (g = 0.10, 95% CI = 0.02-0.18; k = 55) and at the last follow-up (g = 0.17, 95% CI = 0.04-0.30; k = 14; range = 18-143 weeks). Three intervention components moderated efficacy: engage caregivers in praise/encouragement for positive health-related behavior; provide education about the importance of screen time reduction to caregivers; and engage pediatricians/health care providers. Conclusions: Early childhood obesity interventions are effective in reducing BMI in preschool children. Our findings suggest that facilitating caregiver education about the importance of screen time reduction may be an important strategy in reducing early childhood obesity.

Psychosociocultural Contributors to Maladaptive Eating Behaviors in African American Youth: Recommendations and Future Directions

Childhood overweight and obesity disproportionately affects African Americans, and these children benefit less from standard pediatric weight management treatment programs compared to other racial/ethnic groups. Maladaptive eating behavior has been identified as a behavioral contributor to obesity and is also associated with the development of nonrestrictive eating disorders over time. Unique psychosociocultural factors have been identified that may promote higher risk for maladaptive eating behaviors in African American children beyond the effects of economic disparity. To best treat this group, it is important for practitioners to have a thorough understanding of these factors. We review several of these considerations and describe ways they may interact to contribute to the subsequent development of maladaptive eating behaviors and increased weight. Recommendations are made regarding how attention to these factors could be incorporated into current pediatric weight management treatments to better serve this population via a patient-centered care approach. Future directions will also be discussed.

Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea

This study investigates the impact of neighborhood-built environments on obesity in interrelationship with socioeconomic status (SES)—controlling for dietary patterns and physical activities of residents—using structural equation modeling (SEM). A total of 577 samples who are between 19 and 64 years old and reside in Seoul are extracted from Korea National Health and Nutrition Examination Survey (KNHNES), 2015. Neighborhood environments are represented as the two latent constructs—walkability and leisure amenities—composited with indicators such as density of intersections, density of mixed-use area, and the area of open spaces and are aggregated by jurisdictional unit in Seoul. We found that greater walkability in a neighborhood explained a lower body mass index (BMI) among residents, whereas more urban leisure amenities in a neighborhood explained a higher BMI. The finding suggests that a walking-friendly environment is more effective than active recreational amenities in inducing people to engage in daily physical activities to the level that reduces obesity rate. SES exerted a negative impact on BMI of a greater magnitude than the impact of either of the environmental living conditions, reinforcing the importance of general wealth and education level in leading to a healthy lifestyle. Our research contributes to growing evidence of a relationship between obesity and the built environment in the context of Asian countries where the prevalence of obesity is becoming a serious issue and requires immediate attention.

Physical and Social Environment Relationship With Sleep Health and Disorders

Sleep health is a multidimensional construct that includes adequate duration, quality, and appropriately timed sleep that may be influenced by environmental factors. In this review, we focus on how an individual's living and sleeping environment, both the surrounding neighborhood physical and social features and the atmosphere around them, may impact their sleep health. We explore the associations of the physical environment (urban density, recreational facilities, green space, mixed land use, and healthy food stores), neighborhood deprivation (disadvantage and disorder), and the social environment (social cohesion, safety, and stigma) with sleep in both adult and pediatric populations. We investigate how physical and social environmental features may lead to alterations in the timing, duration, and quality of sleep and contribute to the most prevalent sleep disorders: insomnia, sleep apnea, and circadian rhythm disorders. We also review how ambient factors such as artificial light, environmental noise, and air pollution may contribute to sleep pathology. We have included key studies and recent emerging data regarding how the differential distribution of environmental factors that may affect sleep health may contribute to sleep health disparities.

A multilevel life course perspective on type 2 diabetes

The prevalence of type 2 diabetes has increased over the past 3 decades, particularly among adolescents as obesity also increases in this age group. Given the long-term effects associated with type 2 diabetes, public health intervention is needed. However, simply advising a patient to lose weight and increase physical exercise ignores the complex interplay of many levels of influences throughout a patient's life. This article describes type 2 diabetes from a multilevel life course perspective that can help clinicians find areas of possible intervention and understand the challenges patients face.

Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review

Background

Nonclinical determinants of health are of increasing importance to health care delivery and health policy. Concurrent with growing interest in better addressing patients’ nonmedical issues is the exponential growth in availability of data sources that provide insight into these nonclinical determinants of health.

Objective

This review aimed to characterize the state of the existing literature on the use of nonclinical health indicators in conjunction with clinical data sources.

Methods

We conducted a rapid review of articles and relevant agency publications published in English. Eligible studies described the effect of, the methods for, or the need for combining nonclinical data with clinical data and were published in the United States between January 2010 and April 2018. Additional reports were obtained by manual searching. Records were screened for inclusion in 2 rounds by 4 trained reviewers with interrater reliability checks. From each article, we abstracted the measures, data sources, and level of measurement (individual or aggregate) for each nonclinical determinant of health reported.

Results

A total of 178 articles were included in the review. The articles collectively reported on 744 different nonclinical determinants of health measures. Measures related to socioeconomic status and material conditions were most prevalent (included in 90% of articles), followed by the closely related domain of social circumstances (included in 25% of articles), reflecting the widespread availability and use of standard demographic measures such as household income, marital status, education, race, and ethnicity in public health surveillance. Measures related to health-related behaviors (eg, smoking, diet, tobacco, and substance abuse), the built environment (eg, transportation, sidewalks, and buildings), natural environment (eg, air quality and pollution), and health services and conditions (eg, provider of care supply, utilization, and disease prevalence) were less common, whereas measures related to public policies were rare. When combining nonclinical and clinical data, a majority of studies associated aggregate, area-level nonclinical measures with individual-level clinical data by matching geographical location.

Conclusions

A variety of nonclinical determinants of health measures have been widely but unevenly used in conjunction with clinical data to support population health research.

Associations of multidimensional socioeconomic and built environment factors with body mass index trajectories among youth in geographically heterogeneous communities

Understanding contextual influences on obesity requires comparison of heterogeneous communities and concurrent assessment of multiple contextual domains. We used a theoretically-based measurement model to assess multidimensional socioeconomic and built environment factors theorized to influence childhood obesity across a diverse geography ranging from rural to urban. Confirmatory factor analysis specified four factors-community socioeconomic deprivation (CSED), food outlet abundance (FOOD), fitness and recreational assets (FIT), and utilitarian physical activity favorability (UTIL)-which were assigned to communities (townships, boroughs, city census tracts) in 37 Pennsylvania counties. Using electronic health records from 2001 to 2012 from 163,820 youth aged 3-18 years from 1288 communities, we conducted multilevel linear regression analyses with factor quartiles and their cross products with age, age2, and age3 to test whether community factors impacted body mass index (BMI) growth trajectories. Models controlled for sex, age, race/ethnicity, and Medical Assistance. Factor scores were lowest in townships, indicating less deprivation, fewer food and physical activity outlets, and lower utilitarian physical activity favorability. BMI at average age was lower in townships versus boroughs (beta [SE]) (0.217 [0.027], P < 0.001) and cities (0.378 [0.036], P < 0.001), as was BMI growth over time. Factor distributions across community types lacked overlap, requiring stratified analyses to avoid extrapolation. In townships, FOOD, UTIL, and FIT were inversely associated with BMI trajectories. Across community types, youth in the lowest (versus higher) CSED quartiles had lower BMI at average age and slower BMI growth, signifying the importance of community deprivation to the obesogenicity of environments.

The Relationships between Adolescents' Obesity and the Built Environment: Are They City Dependent?

There is evidence that the built environment can promote unhealthy habits which may increase the risk for obesity among adolescents. However, the majority of evidence is from North America, Europe and Australia, and less is known about other world regions. The purpose of this study was to examine how the number of overweight and obese adolescents may vary in relation to the built environment, area socioeconomic status (SES), physical activity (PA) and nutritional home environment. We performed a telephone survey of 904 adolescents ages 15-18 from three different cities in Israel. The questionnaire included: reported PA, sedentary behaviors and nutritional home environment. Body Mass Index (BMI) was attained from records of Maccabi Healthcare Services (MHS). The built environment measures were calculated by Geographic Information System (GIS). Multivariable logistic regression analysis was performed to identify variables associated with adolescents' overweight and obesity. The highest level of overweight and obese adolescents was in Beer Sheva (29.2%). The three cities did not differ in built environment characteristics, PA and sedentary behaviors. In Haifa, a more positive nutritional home environment was reported (p = 0.001). Boys, in all three cities presented higher rates of overweight and obesity (29%). After adjusting for covariates, adolescents' overweight and obesity was associated with built environment measures only in a low SES peripheral city (OR = 0.72; 95% CI: 0.56-0.92), and positively associated with higher level of sedentary behavior in the total sample (OR = 1.23; 95% CI:1.03-1.47). This may imply a much more complex causal pathway between the built environment, SES and obesity than suggested in previous literature.

Association between obesity in 4- to 7-year-old children and eight types of crime: a hierarchical linear modelling approach

OBJECTIVE

Evidence of the association between childhood obesity and neighbourhood crime is inconclusive. Most previous studies have included children of all ages, and few have examined different types of crime. The objective of this study was to investigate the association between obesity and eight different types of crime (i.e. commercial robbery, street robbery, assault, other violence, commercial break and enter, residential break and enter, theft of vehicle and theft from vehicle) among 4- to 7-year-old children in a large western Canadian city.

METHODS

Cross-sectional, epidemiological study (N = 10,069) using spatial analysis and hierarchical generalized linear modelling. The outcome variable was normal weight or obesity. The exposure variable was the distance between the child's residential postal code and the closest occurrence of each type of crime.

RESULTS

Controlling for distance to the closest park, frequency of each type of crime in the child's neighbourhood and neighbourhood factors (proportion of visible minorities, education and median family income), there was no association between any of the crime types and childhood obesity.

CONCLUSIONS

Crime did not contribute to obesity in this sample of 4- to 7-year-old children. Replication of this study in other jurisdictions would increase confidence in these results.

Reconciling opposing perceptions of access to physical activity in a gentrifying urban neighborhood

OBJECTIVE

We sought to understand perspectives on access to physical activity in a gentrifying neighborhood.

DESIGN

This qualitative descriptive study used street intercept interviews and photo documentation.

SAMPLE

Participants included members (n = 19) of a gentrifying neighborhood in a northeastern city.

RESULTS

Participants held markedly different perceptions of opportunities for physical activity. Some participants, particularly area university students or those who are identified as White, perceived the neighborhood as favorable to physical activity, with high walkability and abundant resources. Other participants, particularly those who identified as Black or African-American, felt it was difficult to be physically active because neighborhood recreation facilities are scarce or unaffordable and parks are poorly maintained or unsafe. Multiple participants noted strategies to overcome neighborhood barriers to physical activity. Regardless of neighborhood perceptions, family and friends played an important role in influencing physical activity.

CONCLUSIONS

Nurses must consider how disparities in actual and perceived access to neighborhood resources influence participation in physical activity, particularly in gentrifying neighborhood. Public health nurses are embedded in the neighborhoods that they serve, providing a unique opportunity to understand and address the impact of neighborhood on health.

Moderating Effects of Components of Resilience on Obesity Across Income Strata in the National Survey of Children's Health

OBJECTIVE

This study examined whether components of resilience at the family or child level are associated with a decreased risk of obesity in children after accounting for community-, family-, and individual-level stressors associated with an increased risk of obesity.

METHODS

Data are from the 2016 National Survey of Children's Health, using the subset of children 10 to 17 years of age with weight data. We examined whether or not components of family- or child-level resilience were associated with weight status. Community-, family-, and individual-level risk factors for obesity were examined within each income stratum. We used multinomial logistic regression to evaluate if components of resilience are associated with lower overweight or obesity.

RESULTS

The sample included 24,405 10- to 17-year-old children. Child-level but not family-level resilience components were associated with a decreased risk of child obesity across income strata. Food security and adverse childhood experiences (ACEs) were only associated with obesity within higher income strata; bullying was consistently associated across strata. Physical activity was strongly associated with increased emotional resilience. The association between higher emotional resilience and lower obesity remained after adjusting for community-level factors (parks), family-level factors (ACEs), and individual-level factors (bullying). Better maternal health was associated with increased emotional resilience and lower risk of obesity.

CONCLUSIONS

Resilience, specifically emotional resilience, may be a protective factor against obesity in children regardless of income stratum. Physical activity of the child is associated with greater emotional resilience, and better maternal health may mediate the association between this component of resilience and weight.