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Background.
The aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors.
Methods.
Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances.
Results.
Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower BMI, more grip strength and a higher physical and mental health-related quality-of-life.
Conclusions.
Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.
Keywords
sitting time, cluster analysis, patterns
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
- AdditionalFile1.pdf
Additional File 1: English language translation of the BEPAS Seniors questionnaire
- AdditionalFile2.pdf
Additional File 2: English language translation of the Busschaert questionnaire
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CURRENT STATUS: Published
View the published article at BMC Geriatrics.
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Submission checks complete
On 10 Jan, 2021
Editorial decision: Accept
On 04 Jan, 2021
Version (no preprint)
Posted 01 Jan, 2021
Editor assigned
On 01 Jan, 2021
Submission checks complete
On 01 Jan, 2021
Editor invited
On 01 Jan, 2021
This version was not preprinted
No comments provided
Review #1 received
Received 14 Dec, 2020
Reviewer #1 agreed
On 11 Nov, 2020
Reviewers invited
Invitations sent on 10 Nov, 2020
Editor assigned
On 09 Nov, 2020
Submission checks complete
On 09 Nov, 2020
Editor invited
On 09 Nov, 2020
No comments provided
Review #2 received
Received 09 Oct, 2020
Editorial decision: Major revision
On 09 Oct, 2020
Reviewer #2 agreed
On 14 Sep, 2020
Review #1 received
Received 25 Aug, 2020
Editor assigned
On 24 Aug, 2020
Reviewers invited
Invitations sent on 24 Aug, 2020
Reviewer #1 agreed
On 24 Aug, 2020
Submission checks complete
On 23 Aug, 2020
Editor invited
On 23 Aug, 2020
Version 1
Posted 30 Jun, 2020
No comments provided
Editorial decision: Major revision
On 30 Jul, 2020
Review #1 received
Received 22 Jul, 2020
Reviewer #1 agreed
On 12 Jul, 2020
Reviewers invited
Invitations sent on 29 Jun, 2020
Editor assigned
On 26 Jun, 2020
Submission checks complete
On 25 Jun, 2020
Editor invited
On 25 Jun, 2020
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Subject Areas
Geriatrics & Gerontology
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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
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 10 Jan, 2021
Editorial decision: Accept
On 04 Jan, 2021
Version (no preprint)
Posted 01 Jan, 2021
Editor assigned
On 01 Jan, 2021
Submission checks complete
On 01 Jan, 2021
Editor invited
On 01 Jan, 2021
This version was not preprinted
No comments provided
Review #1 received
Received 14 Dec, 2020
Reviewer #1 agreed
On 11 Nov, 2020
Reviewers invited
Invitations sent on 10 Nov, 2020
Editor assigned
On 09 Nov, 2020
Submission checks complete
On 09 Nov, 2020
Editor invited
On 09 Nov, 2020
No comments provided
Review #2 received
Received 09 Oct, 2020
Editorial decision: Major revision
On 09 Oct, 2020
Reviewer #2 agreed
On 14 Sep, 2020
Review #1 received
Received 25 Aug, 2020
Editor assigned
On 24 Aug, 2020
Reviewers invited
Invitations sent on 24 Aug, 2020
Reviewer #1 agreed
On 24 Aug, 2020
Submission checks complete
On 23 Aug, 2020
Editor invited
On 23 Aug, 2020
Version 1
Posted 30 Jun, 2020
No comments provided
Editorial decision: Major revision
On 30 Jul, 2020
Review #1 received
Received 22 Jul, 2020
Reviewer #1 agreed
On 12 Jul, 2020
Reviewers invited
Invitations sent on 29 Jun, 2020
Editor assigned
On 26 Jun, 2020
Submission checks complete
On 25 Jun, 2020
Editor invited
On 25 Jun, 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.
The aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors.
Methods.
Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances.
Results.
Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower BMI, more grip strength and a higher physical and mental health-related quality-of-life.
Conclusions.
Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
- AdditionalFile1.pdf
Additional File 1: English language translation of the BEPAS Seniors questionnaire
- AdditionalFile2.pdf
Additional File 2: English language translation of the Busschaert questionnaire
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