Literature DB >> 35933267

Relationship between social support and depression among older people from elderly care social organizations in Anhui Province, China.

Ling Tang1, Danni Wang2, Zhongliang Bai3, Ying Zhu3, Ren Chen4.   

Abstract

OBJECTIVE: To examine the relationship between absent social support and depression among older adults from elderly care social organizations in Anhui Province, China.
METHODS: A cross-sectional study using a multi-stage stratified random sampling method was conducted in six selected cities of Anhui Province, China. A linear regression model was employed to estimate the association between absent social support and depression.
RESULTS: All in all, 1167 older people were included. Social support and the three dimensions studied were all negatively correlated with depression. These findings suggest that older people from elderly care organizations, who reported higher social support, were less likely to develop depression. This association also existed after stratified analysis in different areas: household (urban/rural), age and gender. DISCUSSION: A higher level of social support was correlated with lower chances of experiencing depression. These findings are consistent with the majority of previous literature having reported on social support among elderly populations. However, some of our findings differ from those of other studies.
CONCLUSIONS: Our study suggests that improved social support could help to prevent depression among older adults.
Copyright © 2022 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

Entities:  

Keywords:  Depression; Elderly care; Social organizations; Social support

Mesh:

Year:  2022        PMID: 35933267     DOI: 10.1016/j.respe.2022.05.007

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN: 0398-7620            Impact factor:   0.686


  1 in total

1.  Factors related to the social network of core members of elderly care service social organizations: a cross-sectional study.

Authors:  Zhengsheng Wang; Xingxi Zhang; Liu Liu; Ling Tang; Ying Zhu; Zhongliang Bai; Ren Chen
Journal:  BMC Health Serv Res       Date:  2022-09-10       Impact factor: 2.908

  1 in total

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