Socioecological approach for identifying the determinants of objectively measured physical activity: A prospective study of the UK Biobank
The socioecological approach emphasises that health promotion should focus on a variety of factors that surround individuals simultaneously, yet there is little evidence on how these factors relatively affect physical activity (PA). The main objective was to identify relevant determinants of PA by e...
Gespeichert in:
Veröffentlicht in: | Preventive medicine 2022-02, Vol.155, p.106949-106949, Article 106949 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 106949 |
---|---|
container_issue | |
container_start_page | 106949 |
container_title | Preventive medicine |
container_volume | 155 |
creator | Choi, Jaesung Park, JooYong Kim, Ji-Eun Kang, Daehee Cho, Sung-il Chung, Ick-Joong Shin, Aesun Lee, Miyoung Choi, Ji-Yeob |
description | The socioecological approach emphasises that health promotion should focus on a variety of factors that surround individuals simultaneously, yet there is little evidence on how these factors relatively affect physical activity (PA). The main objective was to identify relevant determinants of PA by examining the associations between factors within multilayered socioecological categories and PA. A prospective analysis was conducted with 84,052 participants participating in the accelerometer measurement from the UK Biobank. Time spent in moderate-to-vigorous PA (MVPA) was calculated from participants who wore a wrist-worn accelerometer for seven days; a questionnaire-based self-reported leisure-time physical activity was also assessed. A categorical principal component analysis was conducted to reduce the dimensions of 184 variables. The associations between principal components (PCs) and PA were evaluated using general linear models. A network of PCs was constructed to assess the comprehensive association with PA. PCs related to body composition and chronic diseases were suggested as key determinants of objectively measured MVPA and found to be clustered in the network. PCs related to body composition and socio-economic status were proposed as the key regulatory hubs in the network because they exhibited the highest level of indirect linkages with other components. In the environmental category, PCs related to greenness and air pollution were revealed to be key factors in the self-reported walking for pleasure. Using a socioecological approach, it was discovered that obesity and disease-related factors were the most important determinants, and they had an integrative influence with other factors in different categories.
•Body composition, chronic diseases, and overall health rating were proposed as the key determinants of MVPA.•Major determinants having significant effects on physical activity were clustered in the network of socioecological model.•Body composition and socioeconomic factors operated as main regulatory hubs in the network of socioecological model.•Walking for pleasure was found to be influenced by environmental factors such as greenery and air pollution. |
doi_str_mv | 10.1016/j.ypmed.2021.106949 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2616279097</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0091743521005223</els_id><sourcerecordid>2616279097</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-681f5bd2585281b43ef4429f6df4b90136623896f563880d6efa1875a8e834703</originalsourceid><addsrcrecordid>eNp9kc1u1DAUhS0EaqelT4CEvGSTwX9xbCQWbUUBUamL0rXl2NcdD0kc4qRSXoGnJiHtlpUl3--c-3MQekfJnhIqPx73c9-C3zPC6PIjtdCv0I4SLQvCJHmNdoRoWlSCl6foLOcjIZRKIk7QKRe6EqQiO_TnPrmYwKUmPUZnG2z7fkjWHXBIA44eujGGOXaPeDwA9jDC0MbOdmPGKeBUH8GN8QmaGbdg8zSAx_1hzpvVWorj_Alf4sU09xuL8zj5eZWvlg8_8FVMte1-vUVvgm0yXDy_5-jh5svP62_F7d3X79eXt4XjpR4LqWgoa89KVTJFa8EhCMF0kD6IWhPKpWRcaRlKyZUiXkKwVFWlVaC4qAg_Rx8232Wm3xPk0bQxO2ga20GasmGSSlZpoqsF5RvqlvHzAMH0Q2ztMBtKzBqCOZp_IZg1BLOFsKjePzeY6rX2onm5-gJ83gBY1nyKMJjsInQOfByWGxmf4n8b_AWeCpsF</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2616279097</pqid></control><display><type>article</type><title>Socioecological approach for identifying the determinants of objectively measured physical activity: A prospective study of the UK Biobank</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Choi, Jaesung ; Park, JooYong ; Kim, Ji-Eun ; Kang, Daehee ; Cho, Sung-il ; Chung, Ick-Joong ; Shin, Aesun ; Lee, Miyoung ; Choi, Ji-Yeob</creator><creatorcontrib>Choi, Jaesung ; Park, JooYong ; Kim, Ji-Eun ; Kang, Daehee ; Cho, Sung-il ; Chung, Ick-Joong ; Shin, Aesun ; Lee, Miyoung ; Choi, Ji-Yeob</creatorcontrib><description>The socioecological approach emphasises that health promotion should focus on a variety of factors that surround individuals simultaneously, yet there is little evidence on how these factors relatively affect physical activity (PA). The main objective was to identify relevant determinants of PA by examining the associations between factors within multilayered socioecological categories and PA. A prospective analysis was conducted with 84,052 participants participating in the accelerometer measurement from the UK Biobank. Time spent in moderate-to-vigorous PA (MVPA) was calculated from participants who wore a wrist-worn accelerometer for seven days; a questionnaire-based self-reported leisure-time physical activity was also assessed. A categorical principal component analysis was conducted to reduce the dimensions of 184 variables. The associations between principal components (PCs) and PA were evaluated using general linear models. A network of PCs was constructed to assess the comprehensive association with PA. PCs related to body composition and chronic diseases were suggested as key determinants of objectively measured MVPA and found to be clustered in the network. PCs related to body composition and socio-economic status were proposed as the key regulatory hubs in the network because they exhibited the highest level of indirect linkages with other components. In the environmental category, PCs related to greenness and air pollution were revealed to be key factors in the self-reported walking for pleasure. Using a socioecological approach, it was discovered that obesity and disease-related factors were the most important determinants, and they had an integrative influence with other factors in different categories.
•Body composition, chronic diseases, and overall health rating were proposed as the key determinants of MVPA.•Major determinants having significant effects on physical activity were clustered in the network of socioecological model.•Body composition and socioeconomic factors operated as main regulatory hubs in the network of socioecological model.•Walking for pleasure was found to be influenced by environmental factors such as greenery and air pollution.</description><identifier>ISSN: 0091-7435</identifier><identifier>EISSN: 1096-0260</identifier><identifier>DOI: 10.1016/j.ypmed.2021.106949</identifier><identifier>PMID: 34974070</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Accelerometer ; Accelerometry ; Biological Specimen Banks ; Exercise ; Humans ; Network analysis ; Physical activity ; Principal component analysis ; Prospective Studies ; Socioecological model ; United Kingdom</subject><ispartof>Preventive medicine, 2022-02, Vol.155, p.106949-106949, Article 106949</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-681f5bd2585281b43ef4429f6df4b90136623896f563880d6efa1875a8e834703</citedby><cites>FETCH-LOGICAL-c359t-681f5bd2585281b43ef4429f6df4b90136623896f563880d6efa1875a8e834703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0091743521005223$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34974070$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Choi, Jaesung</creatorcontrib><creatorcontrib>Park, JooYong</creatorcontrib><creatorcontrib>Kim, Ji-Eun</creatorcontrib><creatorcontrib>Kang, Daehee</creatorcontrib><creatorcontrib>Cho, Sung-il</creatorcontrib><creatorcontrib>Chung, Ick-Joong</creatorcontrib><creatorcontrib>Shin, Aesun</creatorcontrib><creatorcontrib>Lee, Miyoung</creatorcontrib><creatorcontrib>Choi, Ji-Yeob</creatorcontrib><title>Socioecological approach for identifying the determinants of objectively measured physical activity: A prospective study of the UK Biobank</title><title>Preventive medicine</title><addtitle>Prev Med</addtitle><description>The socioecological approach emphasises that health promotion should focus on a variety of factors that surround individuals simultaneously, yet there is little evidence on how these factors relatively affect physical activity (PA). The main objective was to identify relevant determinants of PA by examining the associations between factors within multilayered socioecological categories and PA. A prospective analysis was conducted with 84,052 participants participating in the accelerometer measurement from the UK Biobank. Time spent in moderate-to-vigorous PA (MVPA) was calculated from participants who wore a wrist-worn accelerometer for seven days; a questionnaire-based self-reported leisure-time physical activity was also assessed. A categorical principal component analysis was conducted to reduce the dimensions of 184 variables. The associations between principal components (PCs) and PA were evaluated using general linear models. A network of PCs was constructed to assess the comprehensive association with PA. PCs related to body composition and chronic diseases were suggested as key determinants of objectively measured MVPA and found to be clustered in the network. PCs related to body composition and socio-economic status were proposed as the key regulatory hubs in the network because they exhibited the highest level of indirect linkages with other components. In the environmental category, PCs related to greenness and air pollution were revealed to be key factors in the self-reported walking for pleasure. Using a socioecological approach, it was discovered that obesity and disease-related factors were the most important determinants, and they had an integrative influence with other factors in different categories.
•Body composition, chronic diseases, and overall health rating were proposed as the key determinants of MVPA.•Major determinants having significant effects on physical activity were clustered in the network of socioecological model.•Body composition and socioeconomic factors operated as main regulatory hubs in the network of socioecological model.•Walking for pleasure was found to be influenced by environmental factors such as greenery and air pollution.</description><subject>Accelerometer</subject><subject>Accelerometry</subject><subject>Biological Specimen Banks</subject><subject>Exercise</subject><subject>Humans</subject><subject>Network analysis</subject><subject>Physical activity</subject><subject>Principal component analysis</subject><subject>Prospective Studies</subject><subject>Socioecological model</subject><subject>United Kingdom</subject><issn>0091-7435</issn><issn>1096-0260</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1DAUhS0EaqelT4CEvGSTwX9xbCQWbUUBUamL0rXl2NcdD0kc4qRSXoGnJiHtlpUl3--c-3MQekfJnhIqPx73c9-C3zPC6PIjtdCv0I4SLQvCJHmNdoRoWlSCl6foLOcjIZRKIk7QKRe6EqQiO_TnPrmYwKUmPUZnG2z7fkjWHXBIA44eujGGOXaPeDwA9jDC0MbOdmPGKeBUH8GN8QmaGbdg8zSAx_1hzpvVWorj_Alf4sU09xuL8zj5eZWvlg8_8FVMte1-vUVvgm0yXDy_5-jh5svP62_F7d3X79eXt4XjpR4LqWgoa89KVTJFa8EhCMF0kD6IWhPKpWRcaRlKyZUiXkKwVFWlVaC4qAg_Rx8232Wm3xPk0bQxO2ga20GasmGSSlZpoqsF5RvqlvHzAMH0Q2ztMBtKzBqCOZp_IZg1BLOFsKjePzeY6rX2onm5-gJ83gBY1nyKMJjsInQOfByWGxmf4n8b_AWeCpsF</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Choi, Jaesung</creator><creator>Park, JooYong</creator><creator>Kim, Ji-Eun</creator><creator>Kang, Daehee</creator><creator>Cho, Sung-il</creator><creator>Chung, Ick-Joong</creator><creator>Shin, Aesun</creator><creator>Lee, Miyoung</creator><creator>Choi, Ji-Yeob</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202202</creationdate><title>Socioecological approach for identifying the determinants of objectively measured physical activity: A prospective study of the UK Biobank</title><author>Choi, Jaesung ; Park, JooYong ; Kim, Ji-Eun ; Kang, Daehee ; Cho, Sung-il ; Chung, Ick-Joong ; Shin, Aesun ; Lee, Miyoung ; Choi, Ji-Yeob</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-681f5bd2585281b43ef4429f6df4b90136623896f563880d6efa1875a8e834703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accelerometer</topic><topic>Accelerometry</topic><topic>Biological Specimen Banks</topic><topic>Exercise</topic><topic>Humans</topic><topic>Network analysis</topic><topic>Physical activity</topic><topic>Principal component analysis</topic><topic>Prospective Studies</topic><topic>Socioecological model</topic><topic>United Kingdom</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choi, Jaesung</creatorcontrib><creatorcontrib>Park, JooYong</creatorcontrib><creatorcontrib>Kim, Ji-Eun</creatorcontrib><creatorcontrib>Kang, Daehee</creatorcontrib><creatorcontrib>Cho, Sung-il</creatorcontrib><creatorcontrib>Chung, Ick-Joong</creatorcontrib><creatorcontrib>Shin, Aesun</creatorcontrib><creatorcontrib>Lee, Miyoung</creatorcontrib><creatorcontrib>Choi, Ji-Yeob</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Preventive medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Choi, Jaesung</au><au>Park, JooYong</au><au>Kim, Ji-Eun</au><au>Kang, Daehee</au><au>Cho, Sung-il</au><au>Chung, Ick-Joong</au><au>Shin, Aesun</au><au>Lee, Miyoung</au><au>Choi, Ji-Yeob</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioecological approach for identifying the determinants of objectively measured physical activity: A prospective study of the UK Biobank</atitle><jtitle>Preventive medicine</jtitle><addtitle>Prev Med</addtitle><date>2022-02</date><risdate>2022</risdate><volume>155</volume><spage>106949</spage><epage>106949</epage><pages>106949-106949</pages><artnum>106949</artnum><issn>0091-7435</issn><eissn>1096-0260</eissn><abstract>The socioecological approach emphasises that health promotion should focus on a variety of factors that surround individuals simultaneously, yet there is little evidence on how these factors relatively affect physical activity (PA). The main objective was to identify relevant determinants of PA by examining the associations between factors within multilayered socioecological categories and PA. A prospective analysis was conducted with 84,052 participants participating in the accelerometer measurement from the UK Biobank. Time spent in moderate-to-vigorous PA (MVPA) was calculated from participants who wore a wrist-worn accelerometer for seven days; a questionnaire-based self-reported leisure-time physical activity was also assessed. A categorical principal component analysis was conducted to reduce the dimensions of 184 variables. The associations between principal components (PCs) and PA were evaluated using general linear models. A network of PCs was constructed to assess the comprehensive association with PA. PCs related to body composition and chronic diseases were suggested as key determinants of objectively measured MVPA and found to be clustered in the network. PCs related to body composition and socio-economic status were proposed as the key regulatory hubs in the network because they exhibited the highest level of indirect linkages with other components. In the environmental category, PCs related to greenness and air pollution were revealed to be key factors in the self-reported walking for pleasure. Using a socioecological approach, it was discovered that obesity and disease-related factors were the most important determinants, and they had an integrative influence with other factors in different categories.
•Body composition, chronic diseases, and overall health rating were proposed as the key determinants of MVPA.•Major determinants having significant effects on physical activity were clustered in the network of socioecological model.•Body composition and socioeconomic factors operated as main regulatory hubs in the network of socioecological model.•Walking for pleasure was found to be influenced by environmental factors such as greenery and air pollution.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34974070</pmid><doi>10.1016/j.ypmed.2021.106949</doi><tpages>1</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0091-7435 |
ispartof | Preventive medicine, 2022-02, Vol.155, p.106949-106949, Article 106949 |
issn | 0091-7435 1096-0260 |
language | eng |
recordid | cdi_proquest_miscellaneous_2616279097 |
source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | Accelerometer Accelerometry Biological Specimen Banks Exercise Humans Network analysis Physical activity Principal component analysis Prospective Studies Socioecological model United Kingdom |
title | Socioecological approach for identifying the determinants of objectively measured physical activity: A prospective study of the UK Biobank |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T04%3A36%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Socioecological%20approach%20for%20identifying%20the%20determinants%20of%20objectively%20measured%20physical%20activity:%20A%20prospective%20study%20of%20the%20UK%20Biobank&rft.jtitle=Preventive%20medicine&rft.au=Choi,%20Jaesung&rft.date=2022-02&rft.volume=155&rft.spage=106949&rft.epage=106949&rft.pages=106949-106949&rft.artnum=106949&rft.issn=0091-7435&rft.eissn=1096-0260&rft_id=info:doi/10.1016/j.ypmed.2021.106949&rft_dat=%3Cproquest_cross%3E2616279097%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2616279097&rft_id=info:pmid/34974070&rft_els_id=S0091743521005223&rfr_iscdi=true |