Journal article
Neighborhood Environments and Diabetes Risk and Control
Current diabetes reports, v 18(9), pp 62-10
11 Jul 2018
PMID: 29995252
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The objective of this review is to highlight the evidence on the association between contextual characteristics of residential environments and type 2 diabetes, to provide an overview of the methodological challenges and to outline potential topics for future research in this field.
The link between neighborhood socioeconomic status or deprivation and diabetes prevalence, incidence, and control is robust and has been replicated in numerous settings, including in experimental and quasi-experimental studies. The association between characteristics of the built environment that affect physical activity, other aspects of the built environment, and diabetes risk is robust. There is also evidence for an association between food environments and diabetes risk, but some conflicting results have emerged in this area. While the evidence base on the association of neighborhood socioeconomic status and built and physical environments and diabetes is large and robust, challenges remain related to confounding due to neighborhood selection. Moreover, we also outline five paths forward for future research on the role of neighborhood environments on diabetes.
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Details
- Title
- Neighborhood Environments and Diabetes Risk and Control
- Creators
- Usama Bilal - Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, 3215 Market St, Philadelphia, PA, 19104, USA. ubilal@drexel.eduAmy H Auchincloss - Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, 3215 Market St, Philadelphia, PA, 19104, USAAna V Diez-Roux - Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, 3215 Market St, Philadelphia, PA, 19104, USA
- Publication Details
- Current diabetes reports, v 18(9), pp 62-10
- Publisher
- Springer Nature; United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000438559900002
- Scopus ID
- 2-s2.0-85049835279
- Other Identifier
- 991014878207504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Endocrinology & Metabolism