Journal of Sichuan University (Medical Science Edition)
Volume 50, Issue 2, 2019, Pages 229-233

Multilevel modelling on the prevalence and determinants of depressive symptoms in middle and old-aged rural-to- urban immigrants in chengdu (Article)

Chen R. , Ma T.-P. , He Q.-Y. , Xue L. , Zhang W.-J. , 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
  • e Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu, 610041, China
  • f 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 and determinants of depressive symptoms in middle and old-aged rural-to-urban immigrants in Chengdu. Methods A total of 1 645 middle and old-aged rural-to-urban immigrants aged over 45 yr. were selected to participate in a questionnaire survey through a multi-stage random sampling method in Chengdu. Multilevel (households and individuals) models were established to identify predictors of depressive symptoms. Results About 14. 5% of respondents reported depressive symptoms. The multilevel model indicated that family clustering of depressive symptoms existed. Household income and length of urban life at the household level, and age, chronic diseases, smoking, and social support at the individual level were significant predictors of depressive symptoms. Conclusion The prevalence of depressive symptoms in middle and old-aged rural-to-urban immigrants deserves increasing policy attention for the purpose of promoting mental health in the population. © 2019 Sichuan University. All rights reserved.

Author Keywords

CES-D Middle and old-aged Depression Rrural-to-urban migration

Index Keywords

rural population Emigrants and Immigrants China depression risk factor Risk Factors Aged Humans social support prevalence Cross-Sectional Studies human cross-sectional study migrant middle aged
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066152390&partnerID=40&md5=b17e9a89f36dd80b0e520b490b83ea62
ISSN: 1672173X
Original Language: Chinese