Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement
Purpose Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified. Design Longitudinal Study Within Randomized Controlled Trial. Setting Online/Internet. Sample Primary care patients (21-70 years). Intervention Acti...
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| Veröffentlicht in: | American journal of health promotion 2023-11, Vol.37 (8), p.1100-1108 |
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| container_title | American journal of health promotion |
| container_volume | 37 |
| creator | Moffit, Reagan McTigue, Kathleen Conroy, Molly B Kriska, Andrea Fischer, Gary Ricci, Edmund Dunstan, David Deperrior, Sarah Rao, Neel Burke, Lora E Rockette-Wagner, Bonny |
| description | Purpose
Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified.
Design
Longitudinal Study Within Randomized Controlled Trial.
Setting
Online/Internet.
Sample
Primary care patients (21-70 years).
Intervention
ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter).
Measures
Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life).
Analysis
General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains.
Results
Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement.
Conclusion
Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs. |
| doi_str_mv | 10.1177/08901171231194176 |
| format | Article |
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Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified.
Design
Longitudinal Study Within Randomized Controlled Trial.
Setting
Online/Internet.
Sample
Primary care patients (21-70 years).
Intervention
ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter).
Measures
Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life).
Analysis
General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains.
Results
Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement.
Conclusion
Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs.</description><identifier>ISSN: 0890-1171</identifier><identifier>EISSN: 2168-6602</identifier><identifier>DOI: 10.1177/08901171231194176</identifier><identifier>PMID: 37550892</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Clinical outcomes ; Clinical trials ; Coaching ; Exercise ; Female ; Health care ; Health promotion ; Humans ; Internet-Based Intervention ; Intervention ; Lifestyles ; Longitudinal Studies ; Male ; Patients ; Physical activity ; Primary care ; Quality of Life ; Sedentary ; Self Report ; Tracking</subject><ispartof>American journal of health promotion, 2023-11, Vol.37 (8), p.1100-1108</ispartof><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-ecec014f0cb88ec86858ffb4bbcc6a74c174e8ef469fa879a3712a86b90e093c3</citedby><cites>FETCH-LOGICAL-c368t-ecec014f0cb88ec86858ffb4bbcc6a74c174e8ef469fa879a3712a86b90e093c3</cites><orcidid>0000-0002-4158-3180</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/08901171231194176$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/08901171231194176$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,30999,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37550892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moffit, Reagan</creatorcontrib><creatorcontrib>McTigue, Kathleen</creatorcontrib><creatorcontrib>Conroy, Molly B</creatorcontrib><creatorcontrib>Kriska, Andrea</creatorcontrib><creatorcontrib>Fischer, Gary</creatorcontrib><creatorcontrib>Ricci, Edmund</creatorcontrib><creatorcontrib>Dunstan, David</creatorcontrib><creatorcontrib>Deperrior, Sarah</creatorcontrib><creatorcontrib>Rao, Neel</creatorcontrib><creatorcontrib>Burke, Lora E</creatorcontrib><creatorcontrib>Rockette-Wagner, Bonny</creatorcontrib><title>Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement</title><title>American journal of health promotion</title><addtitle>Am J Health Promot</addtitle><description>Purpose
Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified.
Design
Longitudinal Study Within Randomized Controlled Trial.
Setting
Online/Internet.
Sample
Primary care patients (21-70 years).
Intervention
ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter).
Measures
Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life).
Analysis
General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains.
Results
Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement.
Conclusion
Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs.</description><subject>Clinical outcomes</subject><subject>Clinical trials</subject><subject>Coaching</subject><subject>Exercise</subject><subject>Female</subject><subject>Health care</subject><subject>Health promotion</subject><subject>Humans</subject><subject>Internet-Based Intervention</subject><subject>Intervention</subject><subject>Lifestyles</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Patients</subject><subject>Physical activity</subject><subject>Primary care</subject><subject>Quality of Life</subject><subject>Sedentary</subject><subject>Self Report</subject><subject>Tracking</subject><issn>0890-1171</issn><issn>2168-6602</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp10UlLxDAUB_Agio7LB_AiAS9eqkmXLMdxGBcQZg56LmnmdYy0yZi0wnx7U-sCiqcE3u_9E95D6JSSS0o5vyJCknihaUapzClnO2iSUiYSxki6iyZDPRnAAToM4YWQtKCE7KODjBdFLKYT5KZhA7oL2NV46d3aqxbP7VqtoQXbYWOxsnhhG2MBL5-3wWjV4KnuzJvptvjeduDfIjRugCt8rQKM1sPK6M75j-SfxGO0V6smwMnneYSebuaPs7vkYXF7P5s-JDpjoktAgyY0r4muhAAtmChEXVd5VWnNFM815TkIqHMmayW4VFmcghKskgSIzHR2hC7G3I13rz2ErmxN0NA0yoLrQ5mKnPOcES4jPf9FX1zvbfxdVIKnTEpZREVHpb0LwUNdbrxpld-WlJTDNso_24g9Z5_JfdXC6rvja_wRXI4gxPH8PPt_4junipJw</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Moffit, Reagan</creator><creator>McTigue, Kathleen</creator><creator>Conroy, Molly B</creator><creator>Kriska, Andrea</creator><creator>Fischer, Gary</creator><creator>Ricci, Edmund</creator><creator>Dunstan, David</creator><creator>Deperrior, Sarah</creator><creator>Rao, Neel</creator><creator>Burke, Lora E</creator><creator>Rockette-Wagner, Bonny</creator><general>SAGE Publications</general><general>American Journal of Health Promotion</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>7QJ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4158-3180</orcidid></search><sort><creationdate>20231101</creationdate><title>Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement</title><author>Moffit, Reagan ; McTigue, Kathleen ; Conroy, Molly B ; Kriska, Andrea ; Fischer, Gary ; Ricci, Edmund ; Dunstan, David ; Deperrior, Sarah ; Rao, Neel ; Burke, Lora E ; Rockette-Wagner, Bonny</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-ecec014f0cb88ec86858ffb4bbcc6a74c174e8ef469fa879a3712a86b90e093c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Clinical outcomes</topic><topic>Clinical trials</topic><topic>Coaching</topic><topic>Exercise</topic><topic>Female</topic><topic>Health care</topic><topic>Health promotion</topic><topic>Humans</topic><topic>Internet-Based Intervention</topic><topic>Intervention</topic><topic>Lifestyles</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Patients</topic><topic>Physical activity</topic><topic>Primary care</topic><topic>Quality of Life</topic><topic>Sedentary</topic><topic>Self Report</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moffit, Reagan</creatorcontrib><creatorcontrib>McTigue, Kathleen</creatorcontrib><creatorcontrib>Conroy, Molly B</creatorcontrib><creatorcontrib>Kriska, Andrea</creatorcontrib><creatorcontrib>Fischer, Gary</creatorcontrib><creatorcontrib>Ricci, Edmund</creatorcontrib><creatorcontrib>Dunstan, David</creatorcontrib><creatorcontrib>Deperrior, Sarah</creatorcontrib><creatorcontrib>Rao, Neel</creatorcontrib><creatorcontrib>Burke, Lora E</creatorcontrib><creatorcontrib>Rockette-Wagner, Bonny</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of health promotion</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moffit, Reagan</au><au>McTigue, Kathleen</au><au>Conroy, Molly B</au><au>Kriska, Andrea</au><au>Fischer, Gary</au><au>Ricci, Edmund</au><au>Dunstan, David</au><au>Deperrior, Sarah</au><au>Rao, Neel</au><au>Burke, Lora E</au><au>Rockette-Wagner, Bonny</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement</atitle><jtitle>American journal of health promotion</jtitle><addtitle>Am J Health Promot</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>37</volume><issue>8</issue><spage>1100</spage><epage>1108</epage><pages>1100-1108</pages><issn>0890-1171</issn><eissn>2168-6602</eissn><abstract>Purpose
Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified.
Design
Longitudinal Study Within Randomized Controlled Trial.
Setting
Online/Internet.
Sample
Primary care patients (21-70 years).
Intervention
ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter).
Measures
Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life).
Analysis
General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains.
Results
Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement.
Conclusion
Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>37550892</pmid><doi>10.1177/08901171231194176</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4158-3180</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0890-1171 |
| ispartof | American journal of health promotion, 2023-11, Vol.37 (8), p.1100-1108 |
| issn | 0890-1171 2168-6602 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2847746079 |
| source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; SAGE Journals Online |
| subjects | Clinical outcomes Clinical trials Coaching Exercise Female Health care Health promotion Humans Internet-Based Intervention Intervention Lifestyles Longitudinal Studies Male Patients Physical activity Primary care Quality of Life Sedentary Self Report Tracking |
| title | Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement |
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