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Research article
Zhi Hu
Anhui Medical University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: We aimed to examine the association between social capital and loneliness in Anhui Province, China.
Methods: Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness.
Results: Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10-1.74), social connection (AOR = 1.51; 95% CI: 1.18-1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13-1.90) were associated with higher odds of developing loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation.
Conclusions: Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness in later life.
Keywords
Social Capital, Aging, Health, Loneliness; China
Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.pdf
Additional file 1, The location of sampling areas (Red areas) in Anhui province, China.
- Additionalfile2.pdf
Additional file 2, Questionnaire of this study (English version).
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View the published article at BMC Geriatrics.
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On 16 Dec, 2020
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Editorial decision: Minor revision
On 14 Dec, 2020
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Posted 05 Nov, 2020
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Review #1 received
Received 13 Nov, 2020
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Received 13 Nov, 2020
Review #3 received
Received 06 Nov, 2020
Reviewer #3 agreed
On 31 Oct, 2020
Reviewer #2 agreed
On 28 Oct, 2020
Editor assigned
On 28 Oct, 2020
Reviewers invited
Invitations sent on 28 Oct, 2020
Reviewer #1 agreed
On 28 Oct, 2020
Submission checks complete
On 28 Oct, 2020
Editor invited
On 28 Oct, 2020
No comments provided
Review #3 received
Received 03 Oct, 2020
Review #2 received
Received 30 Sep, 2020
Review #1 received
Received 28 Sep, 2020
Reviewer #2 agreed
On 11 Sep, 2020
Reviewer #3 agreed
On 11 Sep, 2020
Reviewers invited
Invitations sent on 10 Sep, 2020
Reviewer #1 agreed
On 10 Sep, 2020
Editor assigned
On 07 Sep, 2020
Submission checks complete
On 06 Sep, 2020
Editor invited
On 06 Sep, 2020
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Subject Areas
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at BMC Geriatrics.
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 Geriatrics.
No community comments so far
Submission checks complete
On 24 Dec, 2020
Editorial decision: Accept
On 16 Dec, 2020
Version (no preprint)
Posted 15 Dec, 2020
Submission checks complete
On 15 Dec, 2020
Editorial decision: Minor revision
On 14 Dec, 2020
This version was not preprinted
Version 2
Posted 05 Nov, 2020
No comments provided
Review #1 received
Received 13 Nov, 2020
Review #2 received
Received 13 Nov, 2020
Review #3 received
Received 06 Nov, 2020
Reviewer #3 agreed
On 31 Oct, 2020
Reviewer #2 agreed
On 28 Oct, 2020
Editor assigned
On 28 Oct, 2020
Reviewers invited
Invitations sent on 28 Oct, 2020
Reviewer #1 agreed
On 28 Oct, 2020
Submission checks complete
On 28 Oct, 2020
Editor invited
On 28 Oct, 2020
No comments provided
Review #3 received
Received 03 Oct, 2020
Review #2 received
Received 30 Sep, 2020
Review #1 received
Received 28 Sep, 2020
Reviewer #2 agreed
On 11 Sep, 2020
Reviewer #3 agreed
On 11 Sep, 2020
Reviewers invited
Invitations sent on 10 Sep, 2020
Reviewer #1 agreed
On 10 Sep, 2020
Editor assigned
On 07 Sep, 2020
Submission checks complete
On 06 Sep, 2020
Editor invited
On 06 Sep, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Geriatrics & Gerontology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Geriatrics.
Background: We aimed to examine the association between social capital and loneliness in Anhui Province, China.
Methods: Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness.
Results: Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10-1.74), social connection (AOR = 1.51; 95% CI: 1.18-1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13-1.90) were associated with higher odds of developing loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation.
Conclusions: Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness in later life.
Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.pdf
Additional file 1, The location of sampling areas (Red areas) in Anhui province, China.
- Additionalfile2.pdf
Additional file 2, Questionnaire of this study (English version).
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