Dataset Information

Association of built environment characteristics with adiposity and glycaemic measures.

ABSTRACT:

Objective

This study examined the cross-sectional and longitudinal relationships of built environment characteristics with adiposity and glycaemic measures.

Method

Longitudinal study sample consisted of 4,010 Framingham Heart Study Offspring (baseline: 1998-2001; follow-up: 2005-2008) and Generation Three (baseline: 2002-2005; follow-up: 2008-2011) participants (54.8% women, baseline mean age 48.6 years). Built environment characteristics (intersection density, greenspace, recreation land and food stores) at baseline were collected. Adiposity and glycaemic measures (body mass index [BMI], waist circumference, abdominal subcutaneous and visceral adipose tissue, and fasting plasma glucose) at baseline and changes during 6.4-year follow-up were measured.

Results

In cross-sectional models, higher intersection density and food store density (total food stores, fast food restaurants and supermarkets) were linearly associated with higher BMI (all p < 0.05). Higher greenspace was associated with lower BMI, waist circumference, fasting plasma glucose, prevalent obesity and prevalent diabetes (all p < 0.05). Longitudinally, higher intersection density and food store density, and lower greenspace were associated with smaller increases in abdominal visceral adipose tissue (all p < 0.05). Higher densities of intersections, fast food restaurants and supermarkets were associated with smaller increases in fasting plasma glucose (all p < 0.05).

Conclusions

Collectively, built environment characteristics are associated with adiposity and glycaemic traits, suggesting the potential mechanisms by which built environment influences cardiometabolic health.

SUBMITTER: Lee JJ

PROVIDER: S-EPMC5598022 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association of built environment characteristics with adiposity and glycaemic measures.

Lee J J JJ Hwang S-J SJ Mutalik K K Corey D D Joyce R R Block J P JP Fox C S CS Powell-Wiley T M TM

Obesity science & practice 20170711 3

<h4>Objective</h4>This study examined the cross-sectional and longitudinal relationships of built environment characteristics with adiposity and glycaemic measures.<h4>Method</h4>Longitudinal study sample consisted of 4,010 Framingham Heart Study Offspring (baseline: 1998-2001; follow-up: 2005-2008) and Generation Three (baseline: 2002-2005; follow-up: 2008-2011) participants (54.8% women, baseline mean age 48.6 years). Built environment characteristics (intersection density, greenspace, recreat ...[more]

PMID: 29071109

Similar Datasets

Project description:ImportanceEmerging research suggests that factors associated with the built environment, including artificial light, air pollution, and noise, may adversely affect children's mental health, while living near green space may reduce stress. Little is known about the combined roles of these factors on children's stress.ObjectiveTo investigate associations between components of the built environment with personal and home characteristics in a large cohort of children who were assessed for perceived stress.Design, setting, and participantsIn this cohort study, a total of 2290 Southern California Children's Health Study participants residing in 8 densely populated urban communities responded to detailed questionnaires. Exposures of artificial light at night (ALAN) derived from satellite observations, near-roadway air pollution (NRP) determined from a dispersion model, noise estimated from the US Traffic Noise Model, and green space from satellite observations of the enhanced vegetation index were linked to each participant's geocoded residence.Main outcomes and measuresChildren's stress was assessed at ages 13 to 14 years and 15 to 16 years using the 4-item Perceived Stress Scale (PSS-4), scaled from 0 to 16, with higher scores indicating greater perceived stress. Measurements were conducted in 2010 and 2012, and data were analyzed from February 6 to August 24, 2019. Multivariate mixed-effects models were used to examine multiple exposures; modification and mediation analyses were also conducted.ResultsAmong the 2290 children in this study, 1149 were girls (50%); mean (SD) age was 13.5 (0.6) years. Girls had significantly higher perceived stress measured by PSS-4 (mean [SD] score, 5.7 [3.4]) than boys (4.9 [3.2]). With increasing age (from 13.5 [0.6] to 15.3 [0.6] years), the mean PSS-4 score rose from 5.6 (3.3) to 6.0 (3.4) in girls but decreased for boys from 5.0 (3.2) to 4.7 (3.1). Multivariate mixed-effects models examining multiple exposures indicated that exposure to secondhand smoke in the home was associated with a 0.85 (95% CI, 0.46-1.24) increase in the PSS-4 score. Of the factors related to the physical environment, an interquartile range (IQR) increase in ALAN was associated with a 0.57 (95% CI, 0.05-1.09) unit increase in the PSS-4 score together with a 0.16 score increase per IQR increase of near-roadway air pollution (95% CI, 0.02-0.30) and a -0.24 score decrease per IQR increase of the enhanced vegetation index (95% CI, -0.45 to -0.04). Income modified the ALAN effect size estimate; participants in households earning less than $48 000 per year had significantly greater stress per IQR increase in ALAN. Sleep duration partially mediated the associations between stress and both enhanced vegetation index (17%) and ALAN (18%).Conclusions and relevanceIn this cohort study, children's exposure to smoke at home in addition to residential exposure to ALAN and near-roadway air pollution were associated with increased perceived stress among young adolescent children. These associations appeared to be partially mitigated by more residential green space. The findings may support the promotion of increased residential green spaces to reduce pollution associated with the built environment, with possible mental health benefits for children.

Dataset Information

Association of built environment characteristics with adiposity and glycaemic measures.

Objective

Method

Results

Conclusions

Publications

Association of built environment characteristics with adiposity and glycaemic measures.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets