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Research article
Zhi Hu
Anhui Medical University
Corresponding Author
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Background: To examine the relationship between social capital and depression among community-dwelling older adults in Anhui Province, China.
Methods: A cross-sectional study was conducted among older people selected from three cities of Anhui Province, China using a multi-stage stratified cluster random sampling method. Data were collected through questionnaire interviews and information on demographic characteristics, social capital, and depression was collected. The generalized linear model and classification and regression tree model were employed to assess the association between social capital and depression.
Results: Totally, 1,810 older people aged ≥ 60 years were included in the final analysis. Overall, all of the social capital dimensions were positively associated with depression: social participation (coefficient: 0.35, 95% CI: 0.22 - 0.48), social support (coefficient:0.18, 95% CI:0.07 - 0.28), social connection (coefficient: 0.76, 95% CI:0.53 - 1.00), trust (coefficient:0.62, 95% CI:0.33 - 0.92), cohesion (coefficient:0.31, 95% CI:0.17 - 0.44) and reciprocity (coefficient:0.30, 95% CI:0.11 - 0.48), which suggested that older people with higher social capital had a smaller chance to develop depression. A complex joint effect of certain social capital dimensions on depression was also observed. The association with depression and the combinative effect of social capital varied among older adults across the cities.
Conclusions: Our study suggests that improving social capital could aid in the prevention of depression among older adults.
Keywords
Social Capital, Depression, Elderly, Mental Health, China
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This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.docx
Additional file 1, doc, social capital and elderly depression questionnaire (English version), detailed information about the measurement tool.
- Additionalfile2.pdf
Additional file 2, doc, results of collinearity analysis.
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CURRENT STATUS: Published
View the published article at BMC Public Health.
Version 3
Posted 15 Oct, 2020
No community comments so far
Submission checks complete
On 08 Oct, 2020
Editorial decision: Accept
On 07 Oct, 2020
No comments provided
Review #1 received
Received 13 Sep, 2020
Reviewers invited
Invitations sent on 05 Sep, 2020
Reviewer #1 agreed
On 05 Sep, 2020
Editor assigned
On 02 Sep, 2020
Submission checks complete
On 01 Sep, 2020
Editor invited
On 01 Sep, 2020
No comments provided
Review #3 received
Received 26 Aug, 2020
Editorial decision: Minor revision
On 26 Aug, 2020
Review #2 received
Received 08 Aug, 2020
Review #1 received
Received 01 Aug, 2020
Reviewer #3 agreed
On 31 Jul, 2020
Reviewer #2 agreed
On 26 Jul, 2020
Reviewers invited
Invitations sent on 25 Jul, 2020
Reviewer #1 agreed
On 25 Jul, 2020
Editor assigned
On 21 Jul, 2020
Submission checks complete
On 20 Jul, 2020
Editor invited
On 20 Jul, 2020
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Comments: 0
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A new preprint design is coming!
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See the published version of this preprint at BMC Public Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Zhi Hu
Anhui Medical University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Public Health.
Version 3
Posted 15 Oct, 2020
No community comments so far
Submission checks complete
On 08 Oct, 2020
Editorial decision: Accept
On 07 Oct, 2020
No comments provided
Review #1 received
Received 13 Sep, 2020
Reviewers invited
Invitations sent on 05 Sep, 2020
Reviewer #1 agreed
On 05 Sep, 2020
Editor assigned
On 02 Sep, 2020
Submission checks complete
On 01 Sep, 2020
Editor invited
On 01 Sep, 2020
No comments provided
Review #3 received
Received 26 Aug, 2020
Editorial decision: Minor revision
On 26 Aug, 2020
Review #2 received
Received 08 Aug, 2020
Review #1 received
Received 01 Aug, 2020
Reviewer #3 agreed
On 31 Jul, 2020
Reviewer #2 agreed
On 26 Jul, 2020
Reviewers invited
Invitations sent on 25 Jul, 2020
Reviewer #1 agreed
On 25 Jul, 2020
Editor assigned
On 21 Jul, 2020
Submission checks complete
On 20 Jul, 2020
Editor invited
On 20 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Public Health.
Background: To examine the relationship between social capital and depression among community-dwelling older adults in Anhui Province, China.
Methods: A cross-sectional study was conducted among older people selected from three cities of Anhui Province, China using a multi-stage stratified cluster random sampling method. Data were collected through questionnaire interviews and information on demographic characteristics, social capital, and depression was collected. The generalized linear model and classification and regression tree model were employed to assess the association between social capital and depression.
Results: Totally, 1,810 older people aged ≥ 60 years were included in the final analysis. Overall, all of the social capital dimensions were positively associated with depression: social participation (coefficient: 0.35, 95% CI: 0.22 - 0.48), social support (coefficient:0.18, 95% CI:0.07 - 0.28), social connection (coefficient: 0.76, 95% CI:0.53 - 1.00), trust (coefficient:0.62, 95% CI:0.33 - 0.92), cohesion (coefficient:0.31, 95% CI:0.17 - 0.44) and reciprocity (coefficient:0.30, 95% CI:0.11 - 0.48), which suggested that older people with higher social capital had a smaller chance to develop depression. A complex joint effect of certain social capital dimensions on depression was also observed. The association with depression and the combinative effect of social capital varied among older adults across the cities.
Conclusions: Our study suggests that improving social capital could aid in the prevention of depression among older adults.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.docx
Additional file 1, doc, social capital and elderly depression questionnaire (English version), detailed information about the measurement tool.
- Additionalfile2.pdf
Additional file 2, doc, results of collinearity analysis.
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