This preprint is under consideration at BMC Geriatrics. A preprint is 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
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research Article
Ying Wang
Fudan University School of Public Health
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Few studies have explored patterns of physical activity (PA) and examined their relationship with depression among community-dwelling older adults. An understanding of PA patterns in this population may have implications for the development of community interventions, both to support beneficial patterns of PA and to target specific latent classes of community-dwelling older adults.
Methods: We conducted a cross-sectional survey study in the Minhang district, Shanghai, China, in August 2019, and used a self-administered questionnaire to collect data through home visits. The total sample included 2,525 older adults. This study used the Physical Activity Scale for the Elderly (PASE) to assess the quantity of PA in older adults. Depression was evaluated with the Geriatric Depression Scale (GDS). Latent class analysis (LCA) was used to identify subpopulations by shared item response patterns. Logistic regressions were performed to estimate the relationship between PASE score, patterns of PA, and depression.
Results: Four latent classes were identified: “domestic types,” “athletic types,” “gardening/caring types,” and “walkers.” PASE scores and latent class predicted depression independently. Older adults who were the most active (PASE quartile: 75–100%) and the athletic types had the strongest significant association with depression (relative risk = 0.21, 95% CI: 0.06–0.68), followed by those who were the most active (PASE quartile: 75–100%) and the walkers (relative risk = 0.28, 95% CI: 0.14–0.57) when compared with older adults with the least activity (PASE quartile: 0–25%) and domestic types. Older adults who were the most active (PASE quartile: 75–100%) and the gardening/caring types were most likely to be depressed (relative risk = 1.66, 95% CI: 1.03–2.69).
Conclusion: This study suggests an overall protective effect of physical activity on depression among community-dwelling older adults. Population-level intervention should combine being athletic with other patterns of physical activity. To develop individual-level tailored interventions, more attention should be paid to older adults who are highly engaged in caring for others.
Keywords
Physical activity, patterns, depression, latent class analysis, LCA, older adults
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
Loading...
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: Under Review
Version 1
Posted 30 Dec, 2020
No community comments so far
Editorial decision: Major revision
On 05 May, 2021
Reviews received
Received 18 Apr, 2021
Reviewers agreed
On 09 Apr, 2021
Reviews received
Received 23 Mar, 2021
Reviewers agreed
On 18 Mar, 2021
Reviewers invited
Invitations sent on 15 Mar, 2021
Editor assigned
On 15 Mar, 2021
Editor invited
On 27 Dec, 2020
Submission checks complete
On 27 Dec, 2020
First submitted
On 21 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Geriatrics & Gerontology
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This preprint is under consideration at BMC Geriatrics. A preprint is 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
Ying Wang
Fudan University School of Public Health
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: Under Review
Version 1
Posted 30 Dec, 2020
No community comments so far
Editorial decision: Major revision
On 05 May, 2021
Reviews received
Received 18 Apr, 2021
Reviewers agreed
On 09 Apr, 2021
Reviews received
Received 23 Mar, 2021
Reviewers agreed
On 18 Mar, 2021
Reviewers invited
Invitations sent on 15 Mar, 2021
Editor assigned
On 15 Mar, 2021
Editor invited
On 27 Dec, 2020
Submission checks complete
On 27 Dec, 2020
First submitted
On 21 Dec, 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
Background: Few studies have explored patterns of physical activity (PA) and examined their relationship with depression among community-dwelling older adults. An understanding of PA patterns in this population may have implications for the development of community interventions, both to support beneficial patterns of PA and to target specific latent classes of community-dwelling older adults.
Methods: We conducted a cross-sectional survey study in the Minhang district, Shanghai, China, in August 2019, and used a self-administered questionnaire to collect data through home visits. The total sample included 2,525 older adults. This study used the Physical Activity Scale for the Elderly (PASE) to assess the quantity of PA in older adults. Depression was evaluated with the Geriatric Depression Scale (GDS). Latent class analysis (LCA) was used to identify subpopulations by shared item response patterns. Logistic regressions were performed to estimate the relationship between PASE score, patterns of PA, and depression.
Results: Four latent classes were identified: “domestic types,” “athletic types,” “gardening/caring types,” and “walkers.” PASE scores and latent class predicted depression independently. Older adults who were the most active (PASE quartile: 75–100%) and the athletic types had the strongest significant association with depression (relative risk = 0.21, 95% CI: 0.06–0.68), followed by those who were the most active (PASE quartile: 75–100%) and the walkers (relative risk = 0.28, 95% CI: 0.14–0.57) when compared with older adults with the least activity (PASE quartile: 0–25%) and domestic types. Older adults who were the most active (PASE quartile: 75–100%) and the gardening/caring types were most likely to be depressed (relative risk = 1.66, 95% CI: 1.03–2.69).
Conclusion: This study suggests an overall protective effect of physical activity on depression among community-dwelling older adults. Population-level intervention should combine being athletic with other patterns of physical activity. To develop individual-level tailored interventions, more attention should be paid to older adults who are highly engaged in caring for others.
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
Loading...