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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review

BACKGROUND: In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., d...

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Autores principales: Lounassalo, Irinja, Salin, Kasper, Kankaanpää, Anna, Hirvensalo, Mirja, Palomäki, Sanna, Tolvanen, Asko, Yang, Xiaolin, Tammelin, Tuija H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404287/
https://www.ncbi.nlm.nih.gov/pubmed/30841921
http://dx.doi.org/10.1186/s12889-019-6513-y
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author Lounassalo, Irinja
Salin, Kasper
Kankaanpää, Anna
Hirvensalo, Mirja
Palomäki, Sanna
Tolvanen, Asko
Yang, Xiaolin
Tammelin, Tuija H.
author_facet Lounassalo, Irinja
Salin, Kasper
Kankaanpää, Anna
Hirvensalo, Mirja
Palomäki, Sanna
Tolvanen, Asko
Yang, Xiaolin
Tammelin, Tuija H.
author_sort Lounassalo, Irinja
collection PubMed
description BACKGROUND: In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and outcomes) in the general population during different life phases. METHODS: The included studies used finite mixture models for identifying trajectories of PA, exercise, or sport participation. Three electronic databases, PubMed (Medline), Web of Science, and CINAHL, were searched from the year 2000 to 13 February 2018. The study was conducted according to the PRISMA recommendations. RESULTS: Twenty-seven articles were included and organized into three age group: youngest (eleven articles), middle (eight articles), and oldest (eight articles). The youngest group consisted mainly of youth, the middle group of adults and the oldest group of late middle-aged and older adults. Most commonly, three or four trajectory classes were reported. Several trajectories describing a decline in PA were reported, especially in the youngest group, whereas trajectories of consistently increasing PA were observed in the middle and oldest group. While the proportion of persistently physically inactive individuals increased with age, the proportion was relatively high at all ages. Generally, male gender, being Caucasian, non-smoking, having low television viewing time, higher socioeconomic status, no chronic illnesses, and family support for PA were associated either with persistent or increasing PA. CONCLUSIONS: The reviewed articles identified various PA subgroups, indicating that finite mixture modeling can yield new information on the complexity of PA behavior compared to studying population mean PA level only. The studies also provided novel information how different factors relate to changes in PA during life course. The recognition of the PA subgroups and their determinants is important for the more precise targeting of PA promotion and PA interventions. TRIAL REGISTRATION: PROSPERO registration number: CRD42018088120. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6513-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-64042872019-03-18 Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review Lounassalo, Irinja Salin, Kasper Kankaanpää, Anna Hirvensalo, Mirja Palomäki, Sanna Tolvanen, Asko Yang, Xiaolin Tammelin, Tuija H. BMC Public Health Research Article BACKGROUND: In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and outcomes) in the general population during different life phases. METHODS: The included studies used finite mixture models for identifying trajectories of PA, exercise, or sport participation. Three electronic databases, PubMed (Medline), Web of Science, and CINAHL, were searched from the year 2000 to 13 February 2018. The study was conducted according to the PRISMA recommendations. RESULTS: Twenty-seven articles were included and organized into three age group: youngest (eleven articles), middle (eight articles), and oldest (eight articles). The youngest group consisted mainly of youth, the middle group of adults and the oldest group of late middle-aged and older adults. Most commonly, three or four trajectory classes were reported. Several trajectories describing a decline in PA were reported, especially in the youngest group, whereas trajectories of consistently increasing PA were observed in the middle and oldest group. While the proportion of persistently physically inactive individuals increased with age, the proportion was relatively high at all ages. Generally, male gender, being Caucasian, non-smoking, having low television viewing time, higher socioeconomic status, no chronic illnesses, and family support for PA were associated either with persistent or increasing PA. CONCLUSIONS: The reviewed articles identified various PA subgroups, indicating that finite mixture modeling can yield new information on the complexity of PA behavior compared to studying population mean PA level only. The studies also provided novel information how different factors relate to changes in PA during life course. The recognition of the PA subgroups and their determinants is important for the more precise targeting of PA promotion and PA interventions. TRIAL REGISTRATION: PROSPERO registration number: CRD42018088120. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6513-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-06 /pmc/articles/PMC6404287/ /pubmed/30841921 http://dx.doi.org/10.1186/s12889-019-6513-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Lounassalo, Irinja
Salin, Kasper
Kankaanpää, Anna
Hirvensalo, Mirja
Palomäki, Sanna
Tolvanen, Asko
Yang, Xiaolin
Tammelin, Tuija H.
Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
title Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
title_full Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
title_fullStr Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
title_full_unstemmed Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
title_short Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
title_sort distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404287/
https://www.ncbi.nlm.nih.gov/pubmed/30841921
http://dx.doi.org/10.1186/s12889-019-6513-y
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