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Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups

Introduction: Physical inactivity has become a public health issue as it can trigger many chronic diseases. Studies have found that an individual’s social networks (SNs) influence their engagement in physical activity (PA). However, it remains unclear how the influence varies between different socio...

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Autores principales: Du, Ting, Li, Yingru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495843/
https://www.ncbi.nlm.nih.gov/pubmed/36135149
http://dx.doi.org/10.3390/bs12090345
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author Du, Ting
Li, Yingru
author_facet Du, Ting
Li, Yingru
author_sort Du, Ting
collection PubMed
description Introduction: Physical inactivity has become a public health issue as it can trigger many chronic diseases. Studies have found that an individual’s social networks (SNs) influence their engagement in physical activity (PA). However, it remains unclear how the influence varies between different sociodemographic groups. This study examined the associations between the SN structures and the PA of young adults across sociodemographic groups. Method: Data on 14,595 young adults aged 24–32 were obtained from Wave IV of the National Longitudinal Study of Adolescent to Adult Health. Latent class analysis was conducted to identify heterogeneous subgroups of respondents with respect to their engagement in PA and SN structures were measured in terms of the relationship quality, contact frequency, network size, and spatial accessibility. Logistic regression and chi-square tests were used to further test the relationships between PA and SNs as well as the sociodemographic factors. Results: SNs were found to have a significant influence on PA. Relationship quality was identified as the most important feature of an individual’s SN, followed by network size, contact frequency, and accessibility. The effects of SNs on PA varied with the individuals’ gender, ethnicity, income, and educational attainment. For example, male participants tended to be physically active if they had frequent connections with their neighbors, while the engagement in PA of the female participants was strongly related to the frequency of their contact with their children. Conclusions: This research has important implications for practitioners as it suggests that PA intervention programs should be designed to target specific population groups.
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spelling pubmed-94958432022-09-23 Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups Du, Ting Li, Yingru Behav Sci (Basel) Article Introduction: Physical inactivity has become a public health issue as it can trigger many chronic diseases. Studies have found that an individual’s social networks (SNs) influence their engagement in physical activity (PA). However, it remains unclear how the influence varies between different sociodemographic groups. This study examined the associations between the SN structures and the PA of young adults across sociodemographic groups. Method: Data on 14,595 young adults aged 24–32 were obtained from Wave IV of the National Longitudinal Study of Adolescent to Adult Health. Latent class analysis was conducted to identify heterogeneous subgroups of respondents with respect to their engagement in PA and SN structures were measured in terms of the relationship quality, contact frequency, network size, and spatial accessibility. Logistic regression and chi-square tests were used to further test the relationships between PA and SNs as well as the sociodemographic factors. Results: SNs were found to have a significant influence on PA. Relationship quality was identified as the most important feature of an individual’s SN, followed by network size, contact frequency, and accessibility. The effects of SNs on PA varied with the individuals’ gender, ethnicity, income, and educational attainment. For example, male participants tended to be physically active if they had frequent connections with their neighbors, while the engagement in PA of the female participants was strongly related to the frequency of their contact with their children. Conclusions: This research has important implications for practitioners as it suggests that PA intervention programs should be designed to target specific population groups. MDPI 2022-09-19 /pmc/articles/PMC9495843/ /pubmed/36135149 http://dx.doi.org/10.3390/bs12090345 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Du, Ting
Li, Yingru
Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups
title Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups
title_full Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups
title_fullStr Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups
title_full_unstemmed Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups
title_short Effects of Social Networks in Promoting Young Adults’ Physical Activity among Different Sociodemographic Groups
title_sort effects of social networks in promoting young adults’ physical activity among different sociodemographic groups
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495843/
https://www.ncbi.nlm.nih.gov/pubmed/36135149
http://dx.doi.org/10.3390/bs12090345
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