Urban Neighborhood Features and Longitudinal Weight Development in Girls

Examining the Long-term Association Between Neighborhood Socioeconomic Status and Obesity and Obesity-related Unhealthy Behaviors Among Children: Results From the Fragile Families and Child Wellbeing Study

BACKGROUND

Literature has focused on neighborhood environments and their possible impacts on obesity and obesity-related behaviors. However, few longitudinal studies have examined the effect of neighborhood socioeconomic status (nSES) on childhood obesity.

PURPOSE

Investigate the longitudinal association between nSES and obesity and obesity-related unhealthy behaviors.

METHODS

We obtained data from the Fragile Families and Child Wellbeing Study (N = 2,072). The main exposure was nSES (measured using an index of five variables representing wealth, income, education, and occupation from the Decennial Census 2000) at ages 3, 5, and 9. The outcome was children's body mass index z-score (BMIz) at ages 5, 9, and 15. Three measures of obesity-related behaviors (i.e., child- or caregiver-reported soda/snack food intake, fast-food intake, and sedentary behaviors) at ages 5, 9, and 15 were included as mediators and outcomes. Cross-lagged path analyses were conducted.

RESULTS

Higher nSES at a previous wave was associated with consuming less soda/snack foods (βs = -0.15 to -0.11 [varying by ages], p < .05) and fast-food intake (βs = -0.21 to -0.14 [varying by ages], p < .01), and less frequent sedentary behaviors (βs = -0.14 to -0.06 [varying by ages], p < .01), but not with BMIz (βs = -0.08 to 0.05 [varying by ages], p > .05). Unhealthy behaviors did not mediate the nSES-BMIz association at alpha .05.

CONCLUSION

Health policies need to target low-socioeconomic neighborhoods to shape healthy lifestyles in children. To develop effective interventions, future research needs to examine comprehensive potential mediators like obesity-related parenting skills, home environments, and built and social environments on the risk of childhood obesity and obesity-related behaviors.

The Longitudinal Effect of Area Socioeconomic Changes on Obesity: a Longitudinal Cohort Study in the USA from 2003 to 2017

Despite several dimensions of area socioeconomic status (SES), past literature has been dominated by the use of area socioeconomic position. We examined the longitudinal effect of three area SES measures (i.e., socioeconomic position, inequality, and segregation) on obesity. Using longitudinal data from the Fragile Families & Child Wellbeing Study (N = 1493), we estimated a linear mixed model to examine the effect of three time-varying area SES measures on time-varying measures of objectively measured body mass index z-score (BMIz) from ages 5 years to 15 years. Findings showed that BMIz increased steadily over time (B = 0.02, 95% CI = 0.02, 0.03). A significant interaction between time and area socioeconomic position indicates that children in areas with higher socioeconomic position had a smaller increase in BMIz than those in low socioeconomic areas (B =  - 0.02, 95% CI =  - 0.02, - 0.01). A non-linear relationship of area income inequality with BMIz such that BMIz was higher as area income inequality was greater, but the effect diminishes in magnitude with a higher level of area income inequality (linear term: B = 0.07; quadratic term: B =  - 0.03). Area income segregation was associated with greater BMIz (B = 0.08, 95% CI = 0.03, 0.12). No time interaction effect was found for area income inequality and segregation. Results highlight a need for community health policy efforts and evidence-based interventions to address childhood obesity issues in low-SES areas.

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

The built and social neighborhood environment where a child lives has been increasingly studied as an exposure that may affect child weight long term. We conducted a systematic review of primary research articles published in 2011 through 2019 that reported results from longitudinal analyses of associations between neighborhood environment characteristics and child obesity or weight. Neighborhood environment measures included proximity to food stores, parks, and recreational facilities, walkability, crime, perceived safety, and social cohesion. Information on study population, exposure and outcome measures, and main results were extracted from 39 studies and results were presented for full cohorts and stratified by sex. Most studies were prospective cohorts (90%) with a median follow-up time of six years. Studies analyzing changes in the neighborhood versus changes in weight were less common than approaches analyzing baseline measures of the neighborhood environment in relation to obesity incidence or weight trajectories. Associations varied by sex, race/ethnicity, and age group. Within the food environment domain, the strongest evidence of adverse impact was for fast food restaurants but the effect was only apparent among girls. Results suggested green space, parks, and recreational facilities may have a beneficial effect on weight. Increased crime and low perceived safety may be risk factors for increased weight although not all studies were consistent. Standardization of measures across studies, investigation of multiple social and physical environment measures simultaneously, effect modification by demographic characteristics, and change in the environment vs change in weight analyses are needed to strengthen conclusions.

Longitudinal associations of neighborhood environment features with pediatric body mass index

INTRODUCTION

It has been posited that policies to promote child health and prevent obesity should target neighborhood environments but evidence on the impact of neighborhoods on child weight is conflicting and longitudinal studies (which have benefits for causal inference) are scarce.

METHODS

We used electronic health records (2007-2016) from an urban, pediatric integrated delivery system and linked children (N = 51,873, ages 6-19 years, 77% African American) to neighborhood-level data to investigate how changes in neighborhood environments relate to changes in body mass index (BMI). Measures of neighborhood environment were resources for healthy foods and physical activity ('resources'), greenness, violent crime rate, perceived safety and social cohesion. Fixed effects models estimated associations between changes in neighborhood environment exposures and changes in BMI z-score and whether effects differed by sex, baseline age, neighborhood socioeconomic status and population density.

RESULTS

Approximately 22% of the cohort was obese (BMI z-score ≥ 95th percentile). In adjusted models, increases in neighborhood greenness and perceived safety were associated with decreases in BMI z-score (mean change in BMI z-score for 1-SD increase for both: -0.012; 95% CI= (-0.018, -0.007)). Increases in neighborhood safety had a stronger effect in children ages 6-10 years than in older children. Increases in social cohesion were associated with increases in BMI z-score (mean change: 0.005 95% CI = (0.003, 0.008)) especially in boys. Increases in food and physical activity resources were not associated with changes in BMI.

CONCLUSIONS

This study suggests that increasing neighborhood greenness and safety are potential approaches to reduce children's BMI.

Traffic-related environmental factors and childhood obesity: A systematic review and meta-analysis

A growing body of research links traffic-related environmental factors to childhood obesity; however, the evidence is still inconclusive. This review aims to fill this important research gap by systematically reviewing existing research on the relationship between traffic-related environmental factors and childhood obesity. Based on the inclusion criteria, 39 studies are selected with environmental factors of interest, including traffic flow, traffic pollution, traffic noise, and traffic safety. Weight-related behaviours include active travel/transport, physical activity (PA), and intake of a high trans-fat diet or stress symptoms; weight-related outcomes are mainly body mass index (BMI) or BMI z-scores and overweight/obesity. Of 16 studies of weight-related behaviours, significant associations are reported in 11 out of 12 studies on traffic flow (two positively and nine negatively associated with PA), five out of six studies on traffic safety (four positively and one negatively associated with PA), one study on traffic pollution (positively with unhealthy food consumption), and one study on traffic noise (negatively associated with PA). Among 23 studies of weight-related outcomes, significant associations are reported in six out of 14 studies on traffic flow (five positively and one negatively associated with obesity outcome), seven out of 10 studies on traffic pollution (all positively associated with obesity outcome), and two out of five on traffic noise (all positively associated with obesity outcome). Our findings show that long-term traffic pollution is weakly positively associated with children's BMI growth, and traffic flow, pollution, and noise could affect weight-related behaviours. Associations between traffic density and noise and weight status are rather inconclusive.

The role of negative emotional reactivity and neighborhood factors in predicting marijuana use during early adolescence

INTRODUCTION

Negative emotional reactivity and the neighborhood environment have been individually associated with marijuana use outcomes; however, less is known about whether neighborhood factors differentiate the association between negative emotional reactivity and marijuana use. The present study examined whether neighborhood risk (i.e., neighborhood problems) and protective factors (i.e., neighborhood social cohesion) moderated the relation between negative emotional reactivity and marijuana use during early adolescence.

METHODS

Participants were 775 adolescents (M = 10.95 ± 0.88 years; 69% male; 76% Caucasian), who reported on their past month frequency of marijuana use at Time 1 (when adolescents were 10-12 years old) and Time 2 (when adolescents were 12-14 years old). Mothers reported on neighborhood problems and neighborhood social cohesion at Time 1. Youth reported on their negative emotional reactivity at Time 2.

RESULTS

Negative binomial regression analyses indicated that neighborhood problems moderated the relationship between negative emotional reactivity and marijuana use. In particular, in the context of low neighborhood problems, individuals with lower negative emotional reactivity were at attenuated risk for marijuana use compared to individuals higher in negative emotional reactivity. In the context of high neighborhood problems, individuals were at heightened risk for marijuana consumption regardless of their negative emotional reactivity levels.

CONCLUSIONS

Findings suggest that individual-level factors alone do not sufficiently account for early marijuana use and that neighborhood problems play a role in risk for or abstention from using marijuana during early adolescence. Implications for prevention and intervention for marijuana use during adolescence are discussed.

Risk Factors for Physical Inactivity Among Children With and Without Asthma Living in Peri-Urban Communities of Lima, Peru

BACKGROUND

The authors sought to examine physical activity patterns among children with and without asthma in 2 peri-urban communities in Lima, Peru, to identify socioeconomic and demographic risk factors for physical inactivity and examine the relationship between asthma and physical activity.

METHODS

The authors measured mean steps per day in 114 children (49 with asthma and 65 without) using pedometers worn over a 1-week period. They also used the 3-day physical activity recall to determine the most common activities carried out by children.

RESULTS

The authors found that 84.2% of the children did not meet the daily international physical activity recommendations. Girls took significantly fewer mean steps per day as compared with boys (2258 fewer steps, 95% confidence interval, 1042-3474), but no other factors, including asthma status, showed significant differences in the mean daily steps. Mean daily steps were positively associated with higher socioeconomic status among girls, and current asthma had a larger inverse effect on daily steps in boys when compared with girls.

CONCLUSION

Physical activity levels were below recommended guidelines in all children. There is a need for policy and neighborhood-level interventions to address low physical activity levels among Peruvian youth. Special focus should be given to increasing the physical activity levels in girls.

Living in High-SES Neighborhoods Is Protective against Obesity among Higher-Income Children but Not Low-Income Children: Results from the Healthy Communities Study

Numerous studies have focused on the role of neighborhood socioeconomic status in childhood obesity and physical activity, but few studies have examined the effect of neighborhood socioeconomic changes over time and the interaction between family and neighborhood SES on childhood obesity and physical activity. This study measured neighborhood socioeconomic histories between 2000 and 2010 and examined the associations between neighborhood socioeconomic histories and childhood obesity, as well as physical activity. The moderating role of family poverty status was also examined. Using the Healthy Communities Study (2013-2015), we measured obesity indicators (objectively measured body mass index z-score and waist circumference) and a physical activity indicator (self-reported moderate-to-vigorous physical activity) for a cohort of 4114 children. Multilevel linear regression models were used to examine the associations between neighborhood socioeconomic histories between 2000 and 2009-2013 and body-mass index z-score, waist circumference, and moderate-to-vigorous physical activity. Results showed that higher-income children in consistently high socioeconomic neighborhoods had lower measured BMIz and WC and engaged in more moderate-to-vigorous physical activity than higher-income children in consistently low socioeconomic neighborhoods. Additionally, low-income children in consistently moderate socioeconomic neighborhoods reported a lower level of moderate-to-vigorous physical activity than low-income children in consistently low socioeconomic neighborhoods. The findings indicate that considering both family and neighborhood socioeconomic status may help elucidate the underlying differences in childhood obesity and physical activity levels by socioeconomic status.

A systematic review of neighbourhood economic context on child obesity and obesity-related behaviours

Childhood obesity is of great importance given a third of children in the USA are overweight or obese. Previous research has examined neighbourhood economic context in relation to children's obesity and obesity-rated behaviours. However, different definitions and measures of neighbourhood context make it difficult to compare findings and make definitive conclusions. This review is to synthesize studies assessing the associations between neighbourhood economic context and children's obesity or obesity-related behaviours. The review included 39 studies investigating the relationship between residential neighbourhood economic context and children's obesity, dietary habits or physical activity after controlling for family-level economic status. Studies reported mixed results in the relationship between neighbourhood economic indicators and child obesity outcomes. Of reviewed studies, 60% showed an inverse association between higher neighbourhood economic status and obesity, and 33% and 14% showed positive associations between higher neighbourhood economic status and healthy dietary habits or physical activity. Several studies suggested gender, age, race/ethnicity, individual-level economic status, rurality and social connectedness as moderators in the neighbourhood-obesity association. Findings suggest that, in order to move towards causal inferences and inform interventions, future research should examine neighbourhood impacts longitudinally and test theory-driven mediators and moderators to clarify the mechanisms by which neighbourhoods influence child obesity.

Do Neighborhoods Matter? A Systematic Review of Modifiable Risk Factors for Obesity among Low Socio-Economic Status Black and Hispanic Children

BACKGROUND

Childhood obesity increases the risk of obesity and harmful comorbidities later in life. It is influenced by characteristics of a child's neighborhood, particularly among underserved groups. Our objective was to systematically review the evidence relating neighborhood environment and obesity risk among urban, low socioeconomic status (SES) Black and Hispanic children.

METHODS

We included studies published from 1993 through early 2017 from PubMed, SCOPUS, Web of Science, and Sociological Abstracts databases investigating relationships between empirically measured neighborhood characteristics and obesity risk factors in the populations of interest. Databases were last searched on May 8, 2018. Initial analysis took place during 2014 and was completed during 2017. We extracted data on study population, design, and associations between neighborhood characteristics and obesity risk factors.

RESULTS

We identified 2011 unique studies; 24 were included. Few studies demonstrated consistent patterns of association. Most neighborhood characteristics were not examined across multiple studies. BMI may be related to living in a lower-income neighborhood or convenience store access.

CONCLUSIONS

This review found that the body of evidence relating neighborhood exposures and obesity risk factors among urban, low SES Black (also commonly referred to in the literature as "non-Hispanic Black" or African American) and Hispanic children is limited. Given the high risk of obesity and cardiovascular disease among these populations throughout the life course, research on neighborhood determinants of obesity should specifically include these populations, ensuring adequate power and methodological rigor to detect differences.

Actual neighborhood-level crime predicts body mass index z-score changes in a multi-racial/ethnic sample of children

Longitudinal studies are warranted to clarify the influence crime has on health outcomes in children especially children representing multiple racial/ethnic backgrounds. To address this need, the current study examined whether neighborhood-level crime predicted changes in body mass index z (BMIz) scores in 373 White (W), 627 African American (AA), 1020 Hispanic (H), and 88 Asian (A), five to ten year-old boys and girls living in urban neighborhoods. Heights and weights were assessed at baseline (2012) and three-years later and used to calculate BMIz scores. Characteristics of zip codes where students lived during the three-year period were obtained at baseline from various sources. The Crime Risk Index (CRI) for each zip code was calculated using actual crime statistics. Multiple linear regression analyses were conducted to examine associations between baseline CRI and follow-up BMIz scores while controlling for other variables including BMIz at baseline. The CRI and BMIz scores differed significantly by race/ethnicity with the highest values for both noted in H. Regression analyses indicated that the CRI accounted for a significant percentage of the variance in follow-up BMIz scores in the overall sample. When race/ethnicity was considered, the CRI predicted follow-up BMIz scores only in W children. The CRI was not significantly associated with BMIz scores in the other races/ethnicities. The impact actual, neighborhood-level crime has on BMI in children is complex. Based on the existing evidence, considering actual crime as a primary target in obesity prevention would be premature especially in racial/ethnicity minority children living in urban areas.

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Crime and body mass index differ significantly by race/ethnicity in children.

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The association between crime and body mass index varies by race/ethnicity.

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Crime predicts changes in body mass index only in White children.

Influence of neighbourhood safety on childhood obesity: a systematic review and meta-analysis of longitudinal studies

Unsafe residential neighbourhoods are thought to be a risk factor for childhood obesity by discouraging physical activity while encouraging sedentary behaviours, but findings from cross-sectional studies are susceptible to selection bias (e.g. children who are obese disproportionately reside in unsafe neighbourhoods). A literature search was conducted in the Cochrane Library, PubMed, Web of Science and Google Scholar for articles published until January 2017 that used baseline neighbourhood safety levels to predict future weight-related behaviours and body-weight status among children aged 17 years and younger. Twenty-two prospective cohort studies conducted in seven countries were identified. The median sample size was 1,104, and the median follow-up was 3.5 years. Sixteen studies used parent-reported and/or child-reported neighbourhood safety measures, and six adopted some objective measures (e.g. county crime rate and interviewers' block observations). The meta-analysis found that living in unsafe neighbourhoods was associated with a reduction in children's physical activity by 0.13 h week-1 . Living in unsafe neighbourhoods predicted a trivial (but statistically significant) gain in body mass index but no change in childhood overweight/obesity risk. Current research indicates a limited influence of neighbourhood safety on childhood obesity; this finding could be partially due to measurement problems. Future longitudinal studies should adopt validated neighbourhood safety measures.

Activity Levels for Four Years in a Cohort of Urban-Dwelling Adolescent Females

PURPOSE

Evidence suggests that female adolescents and those living in urban environments may have lower physical activity (PA) levels compared with their peers. Yet few studies report PA for urban adolescent females, and there is no consensus regarding potential causes for low PA in this subgroup. We examined PA levels, in a large, diverse cohort of 14- to 17-yr-old urban-dwelling females and assessed the effect of socioeconomic, personal, and neighborhood/environmental factors on PA.

METHODS

One week of time-stamped step count data were collected on 926 girls from the Pittsburgh Girls Study at four annual visits. Valid recordings (worn at least 10 h on 3+ d) were examined and compared with normalized step count values from a U.S. population-representative sample. Relationships between important covariates and average steps per day were examined with regression models.

RESULTS

Adjusted mean ± SD step counts per day at baseline were 5614 ± 2434 after controlling for important covariates with less than 6% of girls achieving at least 10,000 steps per day. The girls from the Pittsburgh Girls Study accrued ~45% of their steps during school hours. Age-specific median step counts per day for study participants were similar to the 25th percentile of U.S. population normalized values and did not significantly change during follow-up. Non-Hispanic African American race/ethnicity was associated with higher average step counts per day; obesity and a recent childbirth were associated with lower average step counts per day.

CONCLUSIONS

Step counts in this cohort of urban adolescent girls were considerably lower than expected for U.S. adolescent females. Targeted efforts to improve PA levels in urban youth should consider the importance of school-based activity while increasing PA opportunities outside of school.

Temporal Effects of Child and Adolescent Exposure to Neighborhood Disadvantage on Black/White Disparities in Young Adult Obesity

PURPOSE

This study investigates the effects of duration and timing of exposure to neighborhood disadvantage from birth through age 17 years on obesity incidence in early adulthood and black/white disparities therein.

METHODS

Individual- and household-level data from the 1970-2011 waves of the Panel Study of Income Dynamics are merged with census data on respondents' neighborhoods (n = 1,498). Marginal structural models with inverse probability of treatment and censoring weights are used to quantify the probability of being obese at least once between ages 18 and 30 years as a function of cumulative exposure to neighborhood disadvantage throughout childhood and adolescence or during each of three developmental stages therein.

RESULTS

Longer term exposure to neighborhood disadvantage from ages 0-17 years is more common among blacks than among whites and is associated with significantly greater odds of being obese at least once in early adulthood. Exposure to neighborhood-level deprivation during adolescence (ages 10-17 years) appears more consequential for future (young adult) obesity than exposure that occurs earlier in childhood.

CONCLUSIONS

The duration and timing of exposure to neighborhood disadvantage during childhood and adolescence are associated with obesity incidence in early adulthood for both blacks and whites. However, given inequalities in the likelihood and persistence of experiencing neighborhood disadvantage as children and youth, such adverse effects are likely to be more concentrated among black versus white young adults.