Journal of Sichuan University (Medical Science Edition)
Volume 49, Issue 6, 2018, Pages 944-949

Overweight and obesity among new urban migrants in Chengdu and Kunming (Article)

Xue L. , Zhang W.-J. , Chen R. , Li N.-X.*
  • a Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu, 610041, China
  • b Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu, 610041, China
  • c Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu, 610041, China
  • d Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu, 610041, China

Abstract

Objective: To determine the prevalence of overweight and obesity in new urban migrants. Methods: A questionnaire survey was conducted on 21 651 urban residents in the downtown and surrounding urban areas of Kunming and Chengdu selected through a multi-stage stratified cluster sampling method. Factors associated with overweight and obesity were identified using Chi-square tests and multivariate logistic regression models. Results: 11 626 people were enrolled. The new urban migrants (n = 7 555) had 31. 2% overweight and 6. 7% obesity, compared with 24. 9% and 4. 3%, respectively, in the urban residents (n = 4 071). Gender, age, educational, marital status and alcohol consumption were associated with overweight and obesity in the new urban migrants. Gender, age, education and alcohol consumption were predictors of overweight and obesity of the urban residents. Conclusion: Urban new immigrants are more likely to be overweight and obese than urban residents, although predictors for overweight and obesity remain similar. © 2018 Sichuan University. All Rights Reserved.

Author Keywords

overweight New urban migrants Obesity Urban residents

Index Keywords

[No Keywords available]
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061429560&partnerID=40&md5=4c93aa2de9dd3ceddb0eab809dc4f098
ISSN: 1672173X
Original Language: Chinese