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Smoking and Physical Activity Trajectories from Childhood to Midlife

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajector...

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Autores principales: Salin, Kasper, Kankaanpää, Anna, Hirvensalo, Mirja, Lounassalo, Irinja, Yang, Xiaolin, Magnussen, Costan G., Hutri-Kähönen, Nina, Rovio, Suvi, Viikari, Jorma, Raitakari, Olli T., Tammelin, Tuija H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466084/
https://www.ncbi.nlm.nih.gov/pubmed/30889897
http://dx.doi.org/10.3390/ijerph16060974
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author Salin, Kasper
Kankaanpää, Anna
Hirvensalo, Mirja
Lounassalo, Irinja
Yang, Xiaolin
Magnussen, Costan G.
Hutri-Kähönen, Nina
Rovio, Suvi
Viikari, Jorma
Raitakari, Olli T.
Tammelin, Tuija H.
author_facet Salin, Kasper
Kankaanpää, Anna
Hirvensalo, Mirja
Lounassalo, Irinja
Yang, Xiaolin
Magnussen, Costan G.
Hutri-Kähönen, Nina
Rovio, Suvi
Viikari, Jorma
Raitakari, Olli T.
Tammelin, Tuija H.
author_sort Salin, Kasper
collection PubMed
description Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants’ smoking and PA were assessed five to eight times over a 31-year period (3–18 years old at the baseline, 34–49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.
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spelling pubmed-64660842019-04-22 Smoking and Physical Activity Trajectories from Childhood to Midlife Salin, Kasper Kankaanpää, Anna Hirvensalo, Mirja Lounassalo, Irinja Yang, Xiaolin Magnussen, Costan G. Hutri-Kähönen, Nina Rovio, Suvi Viikari, Jorma Raitakari, Olli T. Tammelin, Tuija H. Int J Environ Res Public Health Article Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants’ smoking and PA were assessed five to eight times over a 31-year period (3–18 years old at the baseline, 34–49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories. MDPI 2019-03-18 2019-03 /pmc/articles/PMC6466084/ /pubmed/30889897 http://dx.doi.org/10.3390/ijerph16060974 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Salin, Kasper
Kankaanpää, Anna
Hirvensalo, Mirja
Lounassalo, Irinja
Yang, Xiaolin
Magnussen, Costan G.
Hutri-Kähönen, Nina
Rovio, Suvi
Viikari, Jorma
Raitakari, Olli T.
Tammelin, Tuija H.
Smoking and Physical Activity Trajectories from Childhood to Midlife
title Smoking and Physical Activity Trajectories from Childhood to Midlife
title_full Smoking and Physical Activity Trajectories from Childhood to Midlife
title_fullStr Smoking and Physical Activity Trajectories from Childhood to Midlife
title_full_unstemmed Smoking and Physical Activity Trajectories from Childhood to Midlife
title_short Smoking and Physical Activity Trajectories from Childhood to Midlife
title_sort smoking and physical activity trajectories from childhood to midlife
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466084/
https://www.ncbi.nlm.nih.gov/pubmed/30889897
http://dx.doi.org/10.3390/ijerph16060974
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