Engineering Person-Specific Behavioral Interventions to Promote Physical Activity

Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions gr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Exercise and sport sciences reviews 2020-10, Vol.48 (4), p.170-179
Hauptverfasser: Conroy, David E., Lagoa, Constantino M., Hekler, Eric, Rivera, Daniel E.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 179
container_issue 4
container_start_page 170
container_title Exercise and sport sciences reviews
container_volume 48
creator Conroy, David E.
Lagoa, Constantino M.
Hekler, Eric
Rivera, Daniel E.
description Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions grounded in system identification and model predictive control will lead to greater physical activity than more generic, conventional intervention approaches.
doi_str_mv 10.1249/JES.0000000000000232
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7492414</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2423534942</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4534-cb0c404662345461a1c2092585daa633319a45e2a43067c3a162bb973f9e4d443</originalsourceid><addsrcrecordid>eNpdkUFPGzEQha2qVRMC_wChPfay1PbM7mYvlShKIQipQcDZcpxJ1u3GTu1NUP59HUghxQePLL9582keY6eCnwuJ9deb0f05PzwS5AfWFwUMc-B8-JH1Oa9FXgKIHjuK8VeSJJH4zHogy2LIEfrsbuQW1hEF6xbZhEL0Lr9fkbFza7Lv1OiN9UG32dh1FDbkOutdzDqfTYJf-o6ySbON1iTFhensxnbbY_ZprttIJ_s6YI8_Rg-X1_ntz6vx5cVtbrAAzM2UG-RYlhKwwFJoYSSvZTEsZlonZhC1xoKkRuBlZUCLUk6ndQXzmnCGCAP27cV3tZ4uaWYSWwJVq2CXOmyV11b9_-NsoxZ-oyqsJYqdwZe9QfB_1hQ7tbTRUNtqR34dlUQJibROZcDwRWqCjzHQ_HWM4GqXhkppqPdppLazQ8TXpn_rf_N98m3ab_zdrp8oqIZ02zXPflBWVZ5i42L3yncXwl-uxZT9</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2423534942</pqid></control><display><type>article</type><title>Engineering Person-Specific Behavioral Interventions to Promote Physical Activity</title><source>MEDLINE</source><source>Journals@Ovid LWW Legacy Archive</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Conroy, David E. ; Lagoa, Constantino M. ; Hekler, Eric ; Rivera, Daniel E.</creator><creatorcontrib>Conroy, David E. ; Lagoa, Constantino M. ; Hekler, Eric ; Rivera, Daniel E.</creatorcontrib><description>Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions grounded in system identification and model predictive control will lead to greater physical activity than more generic, conventional intervention approaches.</description><identifier>ISSN: 0091-6331</identifier><identifier>ISSN: 1538-3008</identifier><identifier>EISSN: 1538-3008</identifier><identifier>DOI: 10.1249/JES.0000000000000232</identifier><identifier>PMID: 32658043</identifier><language>eng</language><publisher>United States: Lippincott Williams &amp; Wilkins</publisher><subject>Behavior Therapy ; Computing Methodologies ; Decision Support Techniques ; Exercise - psychology ; Health Behavior ; Health Promotion - methods ; Humans</subject><ispartof>Exercise and sport sciences reviews, 2020-10, Vol.48 (4), p.170-179</ispartof><rights>Lippincott Williams &amp; Wilkins</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4534-cb0c404662345461a1c2092585daa633319a45e2a43067c3a162bb973f9e4d443</citedby><cites>FETCH-LOGICAL-c4534-cb0c404662345461a1c2092585daa633319a45e2a43067c3a162bb973f9e4d443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&amp;NEWS=n&amp;CSC=Y&amp;PAGE=fulltext&amp;D=ovft&amp;AN=00003677-202010000-00004$$EHTML$$P50$$Gwolterskluwer$$H</linktohtml><link.rule.ids>230,314,776,780,881,4595,27901,27902,65206</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32658043$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Conroy, David E.</creatorcontrib><creatorcontrib>Lagoa, Constantino M.</creatorcontrib><creatorcontrib>Hekler, Eric</creatorcontrib><creatorcontrib>Rivera, Daniel E.</creatorcontrib><title>Engineering Person-Specific Behavioral Interventions to Promote Physical Activity</title><title>Exercise and sport sciences reviews</title><addtitle>Exerc Sport Sci Rev</addtitle><description>Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions grounded in system identification and model predictive control will lead to greater physical activity than more generic, conventional intervention approaches.</description><subject>Behavior Therapy</subject><subject>Computing Methodologies</subject><subject>Decision Support Techniques</subject><subject>Exercise - psychology</subject><subject>Health Behavior</subject><subject>Health Promotion - methods</subject><subject>Humans</subject><issn>0091-6331</issn><issn>1538-3008</issn><issn>1538-3008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUFPGzEQha2qVRMC_wChPfay1PbM7mYvlShKIQipQcDZcpxJ1u3GTu1NUP59HUghxQePLL9582keY6eCnwuJ9deb0f05PzwS5AfWFwUMc-B8-JH1Oa9FXgKIHjuK8VeSJJH4zHogy2LIEfrsbuQW1hEF6xbZhEL0Lr9fkbFza7Lv1OiN9UG32dh1FDbkOutdzDqfTYJf-o6ySbON1iTFhensxnbbY_ZprttIJ_s6YI8_Rg-X1_ntz6vx5cVtbrAAzM2UG-RYlhKwwFJoYSSvZTEsZlonZhC1xoKkRuBlZUCLUk6ndQXzmnCGCAP27cV3tZ4uaWYSWwJVq2CXOmyV11b9_-NsoxZ-oyqsJYqdwZe9QfB_1hQ7tbTRUNtqR34dlUQJibROZcDwRWqCjzHQ_HWM4GqXhkppqPdppLazQ8TXpn_rf_N98m3ab_zdrp8oqIZ02zXPflBWVZ5i42L3yncXwl-uxZT9</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Conroy, David E.</creator><creator>Lagoa, Constantino M.</creator><creator>Hekler, Eric</creator><creator>Rivera, Daniel E.</creator><general>Lippincott Williams &amp; Wilkins</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><scope>5PM</scope></search><sort><creationdate>20201001</creationdate><title>Engineering Person-Specific Behavioral Interventions to Promote Physical Activity</title><author>Conroy, David E. ; Lagoa, Constantino M. ; Hekler, Eric ; Rivera, Daniel E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4534-cb0c404662345461a1c2092585daa633319a45e2a43067c3a162bb973f9e4d443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavior Therapy</topic><topic>Computing Methodologies</topic><topic>Decision Support Techniques</topic><topic>Exercise - psychology</topic><topic>Health Behavior</topic><topic>Health Promotion - methods</topic><topic>Humans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Conroy, David E.</creatorcontrib><creatorcontrib>Lagoa, Constantino M.</creatorcontrib><creatorcontrib>Hekler, Eric</creatorcontrib><creatorcontrib>Rivera, Daniel E.</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Exercise and sport sciences reviews</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Conroy, David E.</au><au>Lagoa, Constantino M.</au><au>Hekler, Eric</au><au>Rivera, Daniel E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Engineering Person-Specific Behavioral Interventions to Promote Physical Activity</atitle><jtitle>Exercise and sport sciences reviews</jtitle><addtitle>Exerc Sport Sci Rev</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>48</volume><issue>4</issue><spage>170</spage><epage>179</epage><pages>170-179</pages><issn>0091-6331</issn><issn>1538-3008</issn><eissn>1538-3008</eissn><abstract>Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions grounded in system identification and model predictive control will lead to greater physical activity than more generic, conventional intervention approaches.</abstract><cop>United States</cop><pub>Lippincott Williams &amp; Wilkins</pub><pmid>32658043</pmid><doi>10.1249/JES.0000000000000232</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0091-6331
ispartof Exercise and sport sciences reviews, 2020-10, Vol.48 (4), p.170-179
issn 0091-6331
1538-3008
1538-3008
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7492414
source MEDLINE; Journals@Ovid LWW Legacy Archive; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Behavior Therapy
Computing Methodologies
Decision Support Techniques
Exercise - psychology
Health Behavior
Health Promotion - methods
Humans
title Engineering Person-Specific Behavioral Interventions to Promote Physical Activity
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T05%3A59%3A21IST&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=Engineering%20Person-Specific%20Behavioral%20Interventions%20to%20Promote%20Physical%20Activity&rft.jtitle=Exercise%20and%20sport%20sciences%20reviews&rft.au=Conroy,%20David%20E.&rft.date=2020-10-01&rft.volume=48&rft.issue=4&rft.spage=170&rft.epage=179&rft.pages=170-179&rft.issn=0091-6331&rft.eissn=1538-3008&rft_id=info:doi/10.1249/JES.0000000000000232&rft_dat=%3Cproquest_pubme%3E2423534942%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2423534942&rft_id=info:pmid/32658043&rfr_iscdi=true