Literature DB >> 28432911

Lifting the lid on geographic complexity in the relationship between body mass index and education in China.

Maigeng Zhou1, Xiaoqi Feng2, Jiang Yong3, Yichong Li1, Mei Zhang1, Andrew Page4, Thomas Astell-Burt5, Wenhua Zhao6.   

Abstract

In China, rising obesity has coincided with increasing affluence. Few studies have properly accounted for geographic variation, however, which may influence prior results. Using large data with biomarkers in China, we show body mass index (BMI) to be positively correlated with higher person-level education if estimated using ordinary least squares. In stark contrast, fitting the same data within a multilevel model gives the complete opposite result. We go on to show that the relationship between BMI and person-level education in China is dependent upon geography, underlining why multilevel modelling is crucial for revealing these types of people-place contingencies.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Body mass index; China; Education; Geography; Multilevel modelling

Mesh:

Year:  2017        PMID: 28432911     DOI: 10.1016/j.healthplace.2017.02.012

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  1 in total

1.  Social and spatial inequalities in allostatic load among adults in China: a multilevel longitudinal study.

Authors:  Maigeng Zhou; Limin Wang; Fan Mao; Thomas Astell-Burt; Xiaoqi Feng; Yunning Liu; Jianqun Dong; Shiwei Liu; Lijun Wang; Yingying Jiang; Wenlan Dong
Journal:  BMJ Open       Date:  2019-11-28       Impact factor: 2.692

  1 in total

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