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Influence of neighborhood environments on overweight/obesity in Chinese older adults: A three-level longitudinal analysis

Tingshuai Ge, Institute for Population and Development Studies, Xi’an Jiaotong University
Quanbao Jiang, Xi'an Jiaotong University

Employed Three-Level Multilevel Models to the data from the Chinese Health and Retirement Longitudinal Survey (CHARLS, 2011, 2013, and 2015), this study aimed to investigate the effects of socioeconomic, built, and natural villages/communities (VC) environments on older adults’ BMI and overweight/obesity risk. We found that the elderly living in communities had a higher BMI and overweight/obesity risk than the elderly living in villages. The elderly in the VC with a supermarket had a higher BMI and overweight/obesity risk than those without. The elderly whose VC was in the plain have a higher BMI and overweight/obesity risk than those whose VC was in hills, mountains, plateaus, basins. The lower the annual lowest temperature of the VC, the higher the BMI and overweight/obesity risk of the elderly; the higher the annual highest temperature of the VC, the higher the BMI overweight/obesity risk of the elderly. The elderly in the VC where natural disasters had occurred in the past five years had a lower BMI and overweight/obesity risk.

Keywords: Health and morbidity, Multi-level modeling, Environmental studies, Older adults

See extended abstract.

  Presented in Session P1.