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Changes in the 24-h movement behaviors during the transition to retirement : compositional data analysis |
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| Author: | Suorsa, Kristin1,2; Leskinen, Tuija1,2; Pasanen, Jesse1,2; |
| Organizations: |
1Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland 2Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland 3Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
4The Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
5Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland 6Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland 7School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland 8Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 1.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2023031732200 |
| Language: | English |
| Published: |
Springer Nature,
2022
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| Publish Date: | 2023-03-17 |
| Description: |
AbstractBackground: Transition to retirement is shown to affect sleep, sedentary time and physical activity, but no previous studies have examined how retirement changes the distribution of time spent daily in these movement behaviors. The aim of this study was to examine longitudinally how the composition of 24-h movement behaviors changes during the transition to retirement using compositional data analysis (CoDA). Methods: We included 551 retiring public sector workers (mean age 63.2 years, standard deviation 1.1) from the Finnish Retirement and Aging study. The study participants wore a wrist-worn ActiGraph accelerometer for one week 24 h per day before and after retirement, with one year between the measurements. The daily proportions to time spent sleeping, in sedentary behavior (SED), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) were estimated using the GGIR package. Changes in the daily proportions of movement behaviors were examined using Compositional Data Analysis version of linear mixed models. Results: In general, the proportion of time spent in active behaviors decreased relative to time spent in passive behaviors after retirement (p < .001). This change depended on occupation (occupation*time interaction p < .001). After retirement manual workers increased the proportions of both sleep and SED in relation to active behaviors, whereas non-manual workers increased the proportion of sleep in relation to active behaviors and SED. The proportion of MVPA decreased relatively more than the proportion of LPA (p = 0.01), independently of gender and occupation. Conclusions: Retirement induced a decrease in the proportion of time spent in active behaviors, especially time spent in MVPA. Future studies are needed to find ways to maintain or increase daily physical activity levels at the cost of sedentary behaviors among retirees. see all
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| Series: |
International journal of behavioral nutrition and physical activity |
| ISSN: | 1479-5868 |
| ISSN-E: | 1479-5868 |
| ISSN-L: | 1479-5868 |
| Volume: | 19 |
| Article number: | 121 |
| DOI: | 10.1186/s12966-022-01364-3 |
| OADOI: | https://oadoi.org/10.1186/s12966-022-01364-3 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
3142 Public health care science, environmental and occupational health |
| Subjects: | |
| Funding: |
This work was supported by the Academy of Finland (Grants 286294, 294154, 319246, and 332030 to SS), Finnish Ministry of Education and Culture (to SS), Juho Vainio Foundation (to SS, KS) and Hospital District of South-West Finland (SS, TL, KS and AP). Part of the work has been performed under the Project HPC-EUROPA3 (INFRAIA-2016–1-730897), with the support of the EC Research Innovation Action under the H2020 Programme. These funding bodies did not have a role in study design, collection, analysis, and interpretation of data, writing the report, or the decision to submit the report for publication. |
| Copyright information: |
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
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https://creativecommons.org/licenses/by/4.0/ |