Earle C. Chambers

Cumulative Social Risk and Obesity in Early Childhood

OBJECTIVES: The goal of this study was to examine the relationship between cumulative social adversity and childhood obesity among preschool-aged children (N = 1605) in the Fragile Families and Child Wellbeing Study. METHODS: Maternal reports of intimate partner violence, food insecurity, housing insecurity, maternal depressive symptoms, maternal substance use, and father’s incarceration were obtained when the child was 1 and 3 years of age. Two cumulative social risk scores were created by summing the 6 factors assessed at ages 1 and 3 years. Child height and weight were measured at 5 years of age. Logistic regression models stratified according to gender were used to estimate the association between cumulative social risk and obesity, adjusting for sociodemographic factors. RESULTS: Seventeen percent of children were obese at age 5 years, and 57% had at least 1 social risk factor. Adjusting for sociodemographic factors, girls experiencing high cumulative social risk (≥2 factors) at age 1 year only (odds ratio [OR]: 2.1 [95% confidence interval [CI]: 1.1–4.1]) or at 3 years only (OR: 2.2 [95% CI: 1.2–4.2]) were at increased odds of being obese compared with girls with no risk factors at either time point. Those experiencing high cumulative risk at age 1 and 3 years were not at statistically significant odds of being obese (OR: 1.9 [95% CI: 0.9–4.0]). No significant associations were noted among boys. CONCLUSIONS: There seems to be gender differences in the effects of cumulative social risk factors on the prevalence of obesity at 5 years of age. Understanding the social context of families could make for more effective preventive efforts to combat childhood obesity.

Social and behavioral risk factors for obesity in early childhood

Objective: Although multiple social and behavioral risk factors associated with obesity co-occur among young children, most studies have examined them separately. The purpose of this study was to examine the relationship between social risk factors, behavioral problems, health behaviors, and obesity among preschoolers in the Fragile Families and Child Wellbeing Study (N = 1589). Methods: A cumulative social risk score was created by summing maternal reports of intimate partner violence, food insecurity, housing insecurity, maternal depressive symptoms, maternal substance use, and fathers incarceration, obtained when the child was 3 years old. Mothers reported on the childs internalizing and externalizing behaviors with the Child Behavior Checklist at age 5 years. Mothers also reported on hours the child spent watching television and sleeping as well as servings of soda or juice drinks the child consumed per day. Child height and weight were measured at age 5 years. Obesity was defined as body mass index ≥95th percentile. Results: In regression analyses adjusted for health behaviors, behavioral problems, and sociodemographic factors, cumulative social risk was associated with obesity among girls. Externalizing behavioral problems were associated with obesity among girls (prevalence ratios [PRs], 1.5; 95% confidence interval [CI], 1.2–1.7) and boys (PR, 1.3; 95% CI, 1.1–1.6). Short sleep duration was also associated with obesity among girls (PR, 1.2; 95% CI, 1.0–1.4) and boys (PR, 1.3; 95% CI, 1.1–1.5) even after adjusting for behavioral problems and social risk factors. Watching more than 2 hours of television per day was associated with obesity among boys (PR 1.5; 95% CI, 1.2 to 1.9) but not girls. Conclusion: Co-occurring social and behavioral risk factors are associated with obesity among 5-year-old children.

Asthma and obesity in three-year-old urban children: Role of sex and home environment

OBJECTIVE To examine whether the relationship between obesity and asthma in young girls and boys can be explained by social and physical characteristics of the home environment. STUDY DESIGN We examined the relationship between asthma and obesity in children in the Fragile Families and Child Wellbeing Study (n=1815). Asthma was determined through maternal report of asthma diagnosis by a doctor (active in past 12 months). Weight and height of child was measured during an in-home visit. Data on home social (maternal depression, intimate partner violence) and physical environmental factors (housing quality, tobacco exposure) were collected via questionnaire. RESULTS Ten percent of children had active asthma, 19% of children were overweight, and 17% of children were obese. In fully adjusted models, obese children had twice the odds of having asthma (OR, 2.3; 95% CI, 1.5-3.3) compared with children of normal body weight. In stratified analyses, overweight boys, but not overweight girls, had increased of odds of asthma. Obese boys and girls had increased odds of asthma compared with boys and girls of normal body weight. CONCLUSION The relationship between asthma and obesity is present in boys and girls as young as 3 years of age; a relationship between being overweight and asthma is only present among boys. This relationship is not attributable to shared social and environmental factors of the childrens home.

Sleep and the Housing and Neighborhood Environment of Urban Latino Adults Living in Low-Income Housing: The AHOME Study

Sleep is implicated in the risk of many chronic diseases; however, little is known about the living conditions that influence sleep. In this study of 371 low-income Latino residents, household crowding was associated with reduced odds of long sleep duration relative to average and short sleep duration. Neighborhood disorder and perceived building problems were associated with more sleep disturbances and poor sleep quality. Building problems were associated with prolonged sleep latency. There was a significant cumulative effect of adverse housing and neighborhood conditions on sleep outcomes. These results show that adverse conditions of both the housing and neighborhood environments are associated with poor sleep outcomes.

PROP taster status interacts with the built environment to influence children's food acceptance and body weight status

Eating behaviors and obesity are complex phenotypes influenced by genes and the environment, but few studies have investigated the interaction of these two variables. The purpose of this study was to use a gene‐environment interaction model to test for differences in childrens food acceptance and body weights.

Physical characteristics of the environment and BMI of young urban children and their mothers

The study examined whether characteristics of the urban physical environment are associated with child and maternal body mass index (BMI) in a sample of 3 year-old children and their mothers from 18 US cities (N=1997 dyads). BMI was determined based on measured height and weight. Characteristics of the interior and exterior physical environment, assessed and rated by trained interviewers, were related to child BMI at age 3 and to their mothers BMI. Negative aspects of the physical environment were more strongly related to maternal BMI among whites than among African-Americans or Hispanics.

Truncal Adiposity and Lung Function in Older Black Women

The increase in adiposity associated with aging is a concern in older adults, especially as it relates to the risk for ventilatory complications. Therefore, the specific aim of this study was to determine the association of various measures of abdominal adiposity with lung function in a sample of older healthy Black women. Participants (n = 27) had no history of diabetes or respiratory disease. The mean age was 67 years. Lung function was measured by spirometry using percent of predicted values for forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV1). Body fat was measured using a three-dimensional photonic scanner and dual energy X-ray absorptiometry (DXA). Correlation analyses show that percent body fat in the trunk (%TF) is significantly associated with percent predicted FVC (r = −0.38; p < 0.05). No association was observed between anthropometric indices of truncal adiposity and lung function. Results of this study show that truncal fat mass measured by DXA is more strongly associated with lung function than anthropometric indices of truncal adiposity in this sample of women.

Increasing referrals to a YMCA-based diabetes prevention program: Effects of electronic referral system modification and provider education in federally qualified health centers

Introduction The Diabetes Prevention Program has been translated to community settings with varying success. Although primary care referrals are used for identifying and enrolling eligible patients in the Diabetes Prevention Program, little is known about the effects of strategies to facilitate and sustain eligible patient referrals using electronic health record systems. Methods To facilitate and sustain patient referrals, a modification to the electronic health record system was made and combined with provider education in 6 federally qualified health centers in the Bronx, New York. Referral data from April 2012 through November 2014 were analyzed using segmented regression analysis. Results Patient referrals increased significantly after the modification of the electronic health record system and implementation of the provider education intervention. Before the electronic system modification, 0 to 2 patients were referred per month. During the following year (September 2013 through August 2014), which included the provider education intervention, referrals increased to 1 to 9 per month and continued to increase to 5 to 11 per month from September through November 2014. Conclusions Modification of an electronic health record system coupled with a provider education intervention shows promise as a strategy to identify and refer eligible patients to community-based Diabetes Prevention Programs. Further refinement of the electronic system for facilitating referrals and follow-up of eligible patients should be explored.

Depressive Symptomology and Hostile Affect among Latinos Using Housing Rental Assistance: the AHOME Study

Studies show that those residing in households subsidized with federal housing vouchers exhibit fewer mental health problems than residents of public housing. The role of housing conditions and neighborhood quality in this relationship is unclear. This study investigated the relationship between rental assistance, housing and neighborhood conditions, and the risk of depressive symptomology and hostile affect among low-income Latino adults living in the Bronx, NY. Latino adults participating in the Affordable Housing as an Obesity Mediating Environment (AHOME) study were used for analysis. All AHOME participants were eligible for federal low-income housing rental assistance (n = 385) and living in the Bronx, New York (2010–2012). Housing (crowding and structural deficiencies) and neighborhood (physical disorder and social cohesion) were measured by questionnaire during in-home interview. Depressive symptomology was measured using the Center for Epidemiologic Studies Depression Scale Short Form, CES-D 10 (score ≥10). Hostile affect was measured using items from the Cook-Medley Hostility Scale (score ≥ 4). Results suggest residents of Section 8 housing have similar levels of depressive symptomology and hostility compared to residents in public housing or those receiving no federal housing assistance. However, depressive symptomology was significantly associated with maintenance deficiencies [OR = 1.17; CI 1.02, 1.35] and social cohesion [OR = 0.71; CI 0.55, 0.93]. Hostility was significantly associated with perceived crowding [OR = 1.18; CI 1.16, 2.85], neighborhood physical disorder [OR = 1.94; CI 1.12, 3.40], and social cohesion [OR = 0.70; CI 0.50, 0.98]. Low-income housing assistance did not have an independent effect on mental health outcomes. However, characteristics of the housing and neighborhood environments were associated with depressive symptomology and hostility.

Combining Clinical and Population-Level Data to Understand the Health of Neighborhoods

From February through December 2012, we examined responses to health behavior questions integrated into the electronic medical record of primary care centers in the Bronx, New York in the context of New York City Community Health Survey data. We saw a higher proportion of unhealthy behaviors among patients than among the neighborhood population. Analyzing clinical data in the neighborhood context can better target at-risk populations.