Built environment correlates of overweight and obesity among adults in Chennai, India-Reference-Cited by-同舟云学术

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Built environment correlates of overweight and obesity among adults in Chennai, India

Published:2020-08-12 Issue:3 Volume:5 Page:289-297
ISSN:2374-8834
Container-title:Cities & Health
language:en
Short-container-title:Cities & Health

Author:

Adlakha Deepti¹,Brownson Ross C.²³,Hipp J. Aaron⁴

Affiliation:

1. School of Natural and Built Environment, Queen’s University Belfast, Belfast, UK

2. Prevention Research Center in St. Louis, Brown School at Washington University in St. Louis, St. Louis, MO, USA

3. Division of Public Health Sciences, Alvin J. Siteman Cancer Center, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA

4. Department of Parks, Recreation, and Tourism Management, Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, USA

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Urban Studies

Link

https://www.tandfonline.com/doi/pdf/10.1080/23748834.2020.1791397

Reference69 articles.

1. Exploring Neighborhood Environments and Active Commuting in Chennai, India

2. Adaptation and Evaluation of the Neighborhood Environment Walkability Scale in India (NEWS-India)

3. Neighborhood-based differences in walkability, physical activity, and weight status in India

4. Modified kuppuswamy′s socioeconomic scale: social researcher should include updated income criteria, 2012

5. Walking, Cycling, and Obesity Rates in Europe, North America, and Australia

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1. Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA;Journal of Geographical Systems;2023-06-05

2. Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA;ISPRS International Journal of Geo-Information;2022-11-08

3. Built environment as a risk factor for adult overweight and obesity: Evidence from a longitudinal geospatial analysis in Indonesia;PLOS Global Public Health;2022-10-05

4. Modeling spatiotemporal associations of obesity prevalence with biking, housing cost and green spaces in Chicago, IL, USA, 2015–2017;Journal of Transport & Health;2022-09

5. Using Geographically Weighted Models to Explore Obesity Prevalence Association with Air Temperature, Socioeconomic Factors, and Unhealthy Behavior in the USA;Journal of Geovisualization and Spatial Analysis;2022-05-08

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