Loading…

Latent profile analysis of young adolescents' physical activity across locations on schooldays

To investigate whether adolescents cluster into profiles based on where they accumulate moderate-to-vigorous physical activity (MVPA), if overall MVPA differs across profiles, and if walking to school and participant and neighborhood characteristics explain profile membership. Adolescents (N=528; me...

Full description

Saved in:
Bibliographic Details
Published in:Journal of transport & health 2018-09, Vol.10, p.304-314
Main Authors: Borner, Kelsey B, Mitchell, Tarrah B, Carlson, Jordan A, Kerr, Jacqueline, Saelens, Brian E, Schipperijn, Jasper, Frank, Lawrence D, Conway, Terry L, Glanz, Karen, Chapman, Jim E, Cain, Kelli L, Sallis, James F
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773
cites cdi_FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773
container_end_page 314
container_issue
container_start_page 304
container_title Journal of transport & health
container_volume 10
creator Borner, Kelsey B
Mitchell, Tarrah B
Carlson, Jordan A
Kerr, Jacqueline
Saelens, Brian E
Schipperijn, Jasper
Frank, Lawrence D
Conway, Terry L
Glanz, Karen
Chapman, Jim E
Cain, Kelli L
Sallis, James F
description To investigate whether adolescents cluster into profiles based on where they accumulate moderate-to-vigorous physical activity (MVPA), if overall MVPA differs across profiles, and if walking to school and participant and neighborhood characteristics explain profile membership. Adolescents (N=528; mean age=14.12±1.44; 50% girls) wore accelerometers and Global Positioning Systems (GPS) trackers for 3.9±1.5 days to assess MVPA minutes in five locations: at home, at school, in home neighborhood, in school neighborhood, and other. Walking to school and participant characteristics were assessed by questionnaire, and neighborhood environment by Geographic Information Systems (GIS). Latent profile analysis (LPA) was used to identify profiles/groups of participants based on accumulation of physical activity across the five locations. Mixed-effects regression tested differences in overall MVPA, walking to school, and other characteristics across profiles. Four initial profiles emerged: one Insufficiently Active profile and three "Active" profiles (Active Around School, Active Home Neighborhood, and Active Other Locations). The Insufficiently Active profile emerging from the first LPA (90% of participants) was further separated into four profiles in a second LPA: Insufficiently Active, and three additional "Active" profiles (Moderately-Active Around School, Moderately-Active Home Neighborhood, and Active At Home). Those in the six Active profiles had more overall MVPA (41.1-92.7 minutes/day) than those in the two Insufficiently Active profiles (34.5-38.3 minutes/day). Variables that differed across profiles included walking to school, sports/athletic ability, and neighborhood walkability. Although most participants did not meet the MVPA guideline, the six Active profiles showed the places in which many adolescents were able to achieve the 60-minute/day guideline. The home and school neighborhood (partly through walking to school), "other" locations, and to a lesser extent the home, appeared to be key sources for physical activity that distinguished active from insufficiently active adolescents. Finding the right match between the individual and physical activity source/location may be a promising strategy for increasing active travel and MVPA in adolescents.
doi_str_mv 10.1016/j.jth.2018.05.010
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6289522</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2157654895</sourcerecordid><originalsourceid>FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773</originalsourceid><addsrcrecordid>eNpVkUtLAzEUhYMoWmp_gBvJTjcdk8zkMRtBxBcU3OjWcJtkbEo6qZNpYf69qY-iq1y455zcw4fQGSUFJVRcLYtlvygYoaogvCCUHKARY7Sa0oqWh_uZ8BM0SWlJCKGMS1mqY3RSEs65VHKE3mbQu7bH6y42PjgMLYQh-YRjg4e4ad8x2BhcMlmULvB6kZcGAgbT-63vhzx0MSUcooHexzYbW5zMIsZgYUin6KiBkNzk5x2j1_u7l9vH6ez54en2ZjY1ZV33UyqkVdbVNUjVKMmtnSsg5VwwUonK8KY0tq5YUzNhFIjKCq4kiJJZxiuSS43R9XfuejNfObu7toOg151fQTfoCF7_37R-od_jVgumas5YDrj8Cejix8alXq98Lh0CtC5ukmaUS8GrLM5S-i39at65Zv8NJXqHRi91RqN3aDThOqPJnvO_9-0dvyDKT5HYjQ0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2157654895</pqid></control><display><type>article</type><title>Latent profile analysis of young adolescents' physical activity across locations on schooldays</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Borner, Kelsey B ; Mitchell, Tarrah B ; Carlson, Jordan A ; Kerr, Jacqueline ; Saelens, Brian E ; Schipperijn, Jasper ; Frank, Lawrence D ; Conway, Terry L ; Glanz, Karen ; Chapman, Jim E ; Cain, Kelli L ; Sallis, James F</creator><creatorcontrib>Borner, Kelsey B ; Mitchell, Tarrah B ; Carlson, Jordan A ; Kerr, Jacqueline ; Saelens, Brian E ; Schipperijn, Jasper ; Frank, Lawrence D ; Conway, Terry L ; Glanz, Karen ; Chapman, Jim E ; Cain, Kelli L ; Sallis, James F</creatorcontrib><description>To investigate whether adolescents cluster into profiles based on where they accumulate moderate-to-vigorous physical activity (MVPA), if overall MVPA differs across profiles, and if walking to school and participant and neighborhood characteristics explain profile membership. Adolescents (N=528; mean age=14.12±1.44; 50% girls) wore accelerometers and Global Positioning Systems (GPS) trackers for 3.9±1.5 days to assess MVPA minutes in five locations: at home, at school, in home neighborhood, in school neighborhood, and other. Walking to school and participant characteristics were assessed by questionnaire, and neighborhood environment by Geographic Information Systems (GIS). Latent profile analysis (LPA) was used to identify profiles/groups of participants based on accumulation of physical activity across the five locations. Mixed-effects regression tested differences in overall MVPA, walking to school, and other characteristics across profiles. Four initial profiles emerged: one Insufficiently Active profile and three "Active" profiles (Active Around School, Active Home Neighborhood, and Active Other Locations). The Insufficiently Active profile emerging from the first LPA (90% of participants) was further separated into four profiles in a second LPA: Insufficiently Active, and three additional "Active" profiles (Moderately-Active Around School, Moderately-Active Home Neighborhood, and Active At Home). Those in the six Active profiles had more overall MVPA (41.1-92.7 minutes/day) than those in the two Insufficiently Active profiles (34.5-38.3 minutes/day). Variables that differed across profiles included walking to school, sports/athletic ability, and neighborhood walkability. Although most participants did not meet the MVPA guideline, the six Active profiles showed the places in which many adolescents were able to achieve the 60-minute/day guideline. The home and school neighborhood (partly through walking to school), "other" locations, and to a lesser extent the home, appeared to be key sources for physical activity that distinguished active from insufficiently active adolescents. Finding the right match between the individual and physical activity source/location may be a promising strategy for increasing active travel and MVPA in adolescents.</description><identifier>ISSN: 2214-1405</identifier><identifier>EISSN: 2214-1413</identifier><identifier>DOI: 10.1016/j.jth.2018.05.010</identifier><identifier>PMID: 30555787</identifier><language>eng</language><publisher>Netherlands</publisher><ispartof>Journal of transport &amp; health, 2018-09, Vol.10, p.304-314</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773</citedby><cites>FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773</cites><orcidid>0000-0002-6558-7610</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,786,790,891,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30555787$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Borner, Kelsey B</creatorcontrib><creatorcontrib>Mitchell, Tarrah B</creatorcontrib><creatorcontrib>Carlson, Jordan A</creatorcontrib><creatorcontrib>Kerr, Jacqueline</creatorcontrib><creatorcontrib>Saelens, Brian E</creatorcontrib><creatorcontrib>Schipperijn, Jasper</creatorcontrib><creatorcontrib>Frank, Lawrence D</creatorcontrib><creatorcontrib>Conway, Terry L</creatorcontrib><creatorcontrib>Glanz, Karen</creatorcontrib><creatorcontrib>Chapman, Jim E</creatorcontrib><creatorcontrib>Cain, Kelli L</creatorcontrib><creatorcontrib>Sallis, James F</creatorcontrib><title>Latent profile analysis of young adolescents' physical activity across locations on schooldays</title><title>Journal of transport &amp; health</title><addtitle>J Transp Health</addtitle><description>To investigate whether adolescents cluster into profiles based on where they accumulate moderate-to-vigorous physical activity (MVPA), if overall MVPA differs across profiles, and if walking to school and participant and neighborhood characteristics explain profile membership. Adolescents (N=528; mean age=14.12±1.44; 50% girls) wore accelerometers and Global Positioning Systems (GPS) trackers for 3.9±1.5 days to assess MVPA minutes in five locations: at home, at school, in home neighborhood, in school neighborhood, and other. Walking to school and participant characteristics were assessed by questionnaire, and neighborhood environment by Geographic Information Systems (GIS). Latent profile analysis (LPA) was used to identify profiles/groups of participants based on accumulation of physical activity across the five locations. Mixed-effects regression tested differences in overall MVPA, walking to school, and other characteristics across profiles. Four initial profiles emerged: one Insufficiently Active profile and three "Active" profiles (Active Around School, Active Home Neighborhood, and Active Other Locations). The Insufficiently Active profile emerging from the first LPA (90% of participants) was further separated into four profiles in a second LPA: Insufficiently Active, and three additional "Active" profiles (Moderately-Active Around School, Moderately-Active Home Neighborhood, and Active At Home). Those in the six Active profiles had more overall MVPA (41.1-92.7 minutes/day) than those in the two Insufficiently Active profiles (34.5-38.3 minutes/day). Variables that differed across profiles included walking to school, sports/athletic ability, and neighborhood walkability. Although most participants did not meet the MVPA guideline, the six Active profiles showed the places in which many adolescents were able to achieve the 60-minute/day guideline. The home and school neighborhood (partly through walking to school), "other" locations, and to a lesser extent the home, appeared to be key sources for physical activity that distinguished active from insufficiently active adolescents. Finding the right match between the individual and physical activity source/location may be a promising strategy for increasing active travel and MVPA in adolescents.</description><issn>2214-1405</issn><issn>2214-1413</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpVkUtLAzEUhYMoWmp_gBvJTjcdk8zkMRtBxBcU3OjWcJtkbEo6qZNpYf69qY-iq1y455zcw4fQGSUFJVRcLYtlvygYoaogvCCUHKARY7Sa0oqWh_uZ8BM0SWlJCKGMS1mqY3RSEs65VHKE3mbQu7bH6y42PjgMLYQh-YRjg4e4ad8x2BhcMlmULvB6kZcGAgbT-63vhzx0MSUcooHexzYbW5zMIsZgYUin6KiBkNzk5x2j1_u7l9vH6ez54en2ZjY1ZV33UyqkVdbVNUjVKMmtnSsg5VwwUonK8KY0tq5YUzNhFIjKCq4kiJJZxiuSS43R9XfuejNfObu7toOg151fQTfoCF7_37R-od_jVgumas5YDrj8Cejix8alXq98Lh0CtC5ukmaUS8GrLM5S-i39at65Zv8NJXqHRi91RqN3aDThOqPJnvO_9-0dvyDKT5HYjQ0</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Borner, Kelsey B</creator><creator>Mitchell, Tarrah B</creator><creator>Carlson, Jordan A</creator><creator>Kerr, Jacqueline</creator><creator>Saelens, Brian E</creator><creator>Schipperijn, Jasper</creator><creator>Frank, Lawrence D</creator><creator>Conway, Terry L</creator><creator>Glanz, Karen</creator><creator>Chapman, Jim E</creator><creator>Cain, Kelli L</creator><creator>Sallis, James F</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6558-7610</orcidid></search><sort><creationdate>20180901</creationdate><title>Latent profile analysis of young adolescents' physical activity across locations on schooldays</title><author>Borner, Kelsey B ; Mitchell, Tarrah B ; Carlson, Jordan A ; Kerr, Jacqueline ; Saelens, Brian E ; Schipperijn, Jasper ; Frank, Lawrence D ; Conway, Terry L ; Glanz, Karen ; Chapman, Jim E ; Cain, Kelli L ; Sallis, James F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Borner, Kelsey B</creatorcontrib><creatorcontrib>Mitchell, Tarrah B</creatorcontrib><creatorcontrib>Carlson, Jordan A</creatorcontrib><creatorcontrib>Kerr, Jacqueline</creatorcontrib><creatorcontrib>Saelens, Brian E</creatorcontrib><creatorcontrib>Schipperijn, Jasper</creatorcontrib><creatorcontrib>Frank, Lawrence D</creatorcontrib><creatorcontrib>Conway, Terry L</creatorcontrib><creatorcontrib>Glanz, Karen</creatorcontrib><creatorcontrib>Chapman, Jim E</creatorcontrib><creatorcontrib>Cain, Kelli L</creatorcontrib><creatorcontrib>Sallis, James F</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of transport &amp; health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Borner, Kelsey B</au><au>Mitchell, Tarrah B</au><au>Carlson, Jordan A</au><au>Kerr, Jacqueline</au><au>Saelens, Brian E</au><au>Schipperijn, Jasper</au><au>Frank, Lawrence D</au><au>Conway, Terry L</au><au>Glanz, Karen</au><au>Chapman, Jim E</au><au>Cain, Kelli L</au><au>Sallis, James F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Latent profile analysis of young adolescents' physical activity across locations on schooldays</atitle><jtitle>Journal of transport &amp; health</jtitle><addtitle>J Transp Health</addtitle><date>2018-09-01</date><risdate>2018</risdate><volume>10</volume><spage>304</spage><epage>314</epage><pages>304-314</pages><issn>2214-1405</issn><eissn>2214-1413</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>To investigate whether adolescents cluster into profiles based on where they accumulate moderate-to-vigorous physical activity (MVPA), if overall MVPA differs across profiles, and if walking to school and participant and neighborhood characteristics explain profile membership. Adolescents (N=528; mean age=14.12±1.44; 50% girls) wore accelerometers and Global Positioning Systems (GPS) trackers for 3.9±1.5 days to assess MVPA minutes in five locations: at home, at school, in home neighborhood, in school neighborhood, and other. Walking to school and participant characteristics were assessed by questionnaire, and neighborhood environment by Geographic Information Systems (GIS). Latent profile analysis (LPA) was used to identify profiles/groups of participants based on accumulation of physical activity across the five locations. Mixed-effects regression tested differences in overall MVPA, walking to school, and other characteristics across profiles. Four initial profiles emerged: one Insufficiently Active profile and three "Active" profiles (Active Around School, Active Home Neighborhood, and Active Other Locations). The Insufficiently Active profile emerging from the first LPA (90% of participants) was further separated into four profiles in a second LPA: Insufficiently Active, and three additional "Active" profiles (Moderately-Active Around School, Moderately-Active Home Neighborhood, and Active At Home). Those in the six Active profiles had more overall MVPA (41.1-92.7 minutes/day) than those in the two Insufficiently Active profiles (34.5-38.3 minutes/day). Variables that differed across profiles included walking to school, sports/athletic ability, and neighborhood walkability. Although most participants did not meet the MVPA guideline, the six Active profiles showed the places in which many adolescents were able to achieve the 60-minute/day guideline. The home and school neighborhood (partly through walking to school), "other" locations, and to a lesser extent the home, appeared to be key sources for physical activity that distinguished active from insufficiently active adolescents. Finding the right match between the individual and physical activity source/location may be a promising strategy for increasing active travel and MVPA in adolescents.</abstract><cop>Netherlands</cop><pmid>30555787</pmid><doi>10.1016/j.jth.2018.05.010</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-6558-7610</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2214-1405
ispartof Journal of transport & health, 2018-09, Vol.10, p.304-314
issn 2214-1405
2214-1413
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6289522
source ScienceDirect Freedom Collection 2022-2024
title Latent profile analysis of young adolescents' physical activity across locations on schooldays
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T11%3A43%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Latent%20profile%20analysis%20of%20young%20adolescents'%20physical%20activity%20across%20locations%20on%20schooldays&rft.jtitle=Journal%20of%20transport%20&%20health&rft.au=Borner,%20Kelsey%20B&rft.date=2018-09-01&rft.volume=10&rft.spage=304&rft.epage=314&rft.pages=304-314&rft.issn=2214-1405&rft.eissn=2214-1413&rft_id=info:doi/10.1016/j.jth.2018.05.010&rft_dat=%3Cproquest_pubme%3E2157654895%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c399t-167d8de99a78f875ddb8a03b620464c5f3cd942f926c8a64d6587a632d2540773%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2157654895&rft_id=info:pmid/30555787&rfr_iscdi=true