Studies exploring associations between neighbourhood environment and obesity often overlook the fact that neighbourhoods are multi-dimensional and that the effects of one environmental exposure may be modified by another. We examine whether associations between neighbourhood density of formal physical activity (PA) facilities and body mass index (BMI) are modified by the density of neighbourhood green spaces and takeaway stores. We used cross-sectional data from the UK Biobank cohort and linked UK Biobank Urban Morphometric Platform (UKBUMP) for 345,269 urban-dwelling adults aged 40-69. We examined associations between objectively measured BMI and the number of formal PA facilities (gyms, pools, etc.) within 1 km of each individual's home, testing separately for interactions with the number of local public green spaces, and number of takeaway stores, within the same 1 km buffers. We estimated modifier-stratified associations using multivariable, multilevel models to account for a clustered sampling design and potential confounding. Likelihood ratio tests were used to assess statistical interaction. We found that the association between a greater number of local PA facilities and lower BMI was stronger among people with fewer urban green spaces in their neighbourhood than among those with more green spaces (P interaction = 0.021). The same relationship between PA facilities and BMI was also noticeably attenuated among those with more takeaway stores near home, compared with people with none (P interaction = 0.014). We conclude that formal PA facilities may buffer against a lack of informal, green resources for PA in areas where the latter are scarce. However, the potential benefits of formal PA facilities in terms of obesity risk may be undermined by an unhealthy food environment close to home. Locating formal PA facilities in places with fewer public green resources and reducing the prevalence of takeaway stores in areas with formal PA resources may maximise the health benefits to be derived from these neighbourhood resources.
The local built environment, obesity and diabetes in the UK: investigating interactions with genetic susceptibility and other individual-level characteristics
The rising prevalence of obesity is driving global increases in non-communicable diseases such as diabetes, increasing the burden on health systems. This rise in obesity prevalence may be partially explained by increasingly ?obesogenic? urban environments, and there is some evidence that obesity, diabetes and related behaviours such as diet and physical activity are associated with aspects of the built environment, including urbanicity, neighbourhood walkability, greenspace, and access to fast-food outlets. However, little is known about whether environmental factors affect everyone equally, or whether underlying individual risk of poor health (e.g. genetic risk) influences vulnerability to environmental factors. With the proposed project, we aim to contribute to a clearer and more robust understanding of the social and biological pathways by which urbanisation and the built environment may lead to obesity and diabetes, and thereby highlight potential areas of focus for future interventions that will benefit public health. We will take advantage of unique opportunities afforded by the size and scope of Biobank to build statistical models that will allow us to examine hypothesised subgroup differences, gene-environment interactions, change over time and other temporal elements of the relationships between the built environment and health. Full cohort where possible; and complete subsets where available data are limited
|Lead investigator:||Dr Kate Mason|
|Lead institution:||London School of Hygiene and Tropical Medicine|
|3450||Do neighbourhood characteristics act together to influence BMI? A cross-sectional study of urban parks and takeaway/fast-food stores as modifiers of the effect of physical activity facilities||Mason et al.||2014||Social Science & Medicine (2020)|