| Literature DB >> 28432911 |
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.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