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Associations Between the Built Environment and Obesity: an Umbrella Review

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Publisher Biomed Central
Date 2021 Feb 2
PMID 33526041
Citations 45
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Abstract

Background: In the past two decades, the built environment emerged as a conceptually important determinant of obesity. As a result, an abundance of studies aiming to link environmental characteristics to weight-related outcomes have been published, and multiple reviews have attempted to summarise these studies under different scopes and domains. We set out to summarise the accumulated evidence across domains by conducting a review of systematic reviews on associations between any aspect of the built environment and overweight or obesity.

Methods: Seven databases were searched for eligible publications from the year 2000 onwards. We included systematic literature reviews, meta-analyses and pooled analyses of observational studies in the form of cross-sectional, case-control, longitudinal cohort, ecological, descriptive, intervention studies and natural experiments. We assessed risk of bias and summarised results structured by built environmental themes such as food environment, physical activity environment, urban-rural disparity, socioeconomic status and air pollution.

Results: From 1850 initial hits, 32 systematic reviews were included, most of which reported equivocal evidence for associations. For food- and physical activity environments, associations were generally very small or absent, although some characteristics within these domains were consistently associated with weight status such as fast-food exposure, urbanisation, land use mix and urban sprawl. Risks of bias were predominantly high.

Conclusions: Thus far, while most studies have not been able to confirm the assumed influence of built environments on weight, there is evidence for some obesogenic environmental characteristics. Registration: This umbrella review was registered on PROSPERO under ID CRD42019135857.

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References
1.
Buck Louis G, Sundaram R . Exposome: time for transformative research. Stat Med. 2012; 31(22):2569-75. PMC: 3842164. DOI: 10.1002/sim.5496. View

2.
Serrano Fuentes N, Rogers A, Portillo M . Social network influences and the adoption of obesity-related behaviours in adults: a critical interpretative synthesis review. BMC Public Health. 2019; 19(1):1178. PMC: 6712627. DOI: 10.1186/s12889-019-7467-9. View

3.
Leal C, Chaix B . The influence of geographic life environments on cardiometabolic risk factors: a systematic review, a methodological assessment and a research agenda. Obes Rev. 2010; 12(3):217-30. DOI: 10.1111/j.1467-789X.2010.00726.x. View

4.
Seehra J, Pandis N, Koletsi D, Fleming P . Use of quality assessment tools in systematic reviews was varied and inconsistent. J Clin Epidemiol. 2015; 69:179-84.e5. DOI: 10.1016/j.jclinepi.2015.06.023. View

5.
Carlin A, Perchoux C, Puggina A, Aleksovska K, Buck C, Burns C . A life course examination of the physical environmental determinants of physical activity behaviour: A "Determinants of Diet and Physical Activity" (DEDIPAC) umbrella systematic literature review. PLoS One. 2017; 12(8):e0182083. PMC: 5546676. DOI: 10.1371/journal.pone.0182083. View