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mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion
We hypothesized that a fully automated mobile health (mHealth) intervention with tracking and texting components would increase physical activity. mActive enrolled smartphone users aged 18 to 69 years at an ambulatory cardiology center in Baltimore, Maryland. We used sequential randomization to eval...
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| Published in: | Journal of the American Heart Association 2015-11, Vol.4 (11) |
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| container_issue | 11 |
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| container_title | Journal of the American Heart Association |
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| creator | Martin, Seth S Feldman, David I Blumenthal, Roger S Jones, Steven R Post, Wendy S McKibben, Rebeccah A Michos, Erin D Ndumele, Chiadi E Ratchford, Elizabeth V Coresh, Josef Blaha, Michael J |
| description | We hypothesized that a fully automated mobile health (mHealth) intervention with tracking and texting components would increase physical activity.
mActive enrolled smartphone users aged 18 to 69 years at an ambulatory cardiology center in Baltimore, Maryland. We used sequential randomization to evaluate the intervention's 2 core components. After establishing baseline activity during a blinded run-in (week 1), in phase I (weeks 2 to 3), we randomized 2:1 to unblinded versus blinded tracking. Unblinding allowed continuous access to activity data through a smartphone interface. In phase II (weeks 4 to 5), we randomized unblinded participants 1:1 to smart texts versus no texts. Smart texts provided smartphone-delivered coaching 3 times/day aimed at individual encouragement and fostering feedback loops by a fully automated, physician-written, theory-based algorithm using real-time activity data and 16 personal factors with a 10 000 steps/day goal. Forty-eight outpatients (46% women, 21% nonwhite) enrolled with a mean±SD age of 58±8 years, body mass index of 31±6 kg/m(2), and baseline activity of 9670±4350 steps/day. Daily activity data capture was 97.4%. The phase I change in activity was nonsignificantly higher in unblinded participants versus blinded controls by 1024 daily steps (95% confidence interval [CI], -580 to 2628; P=0.21). In phase II, participants receiving texts increased their daily steps over those not receiving texts by 2534 (95% CI, 1318 to 3750; P |
| doi_str_mv | 10.1161/jaha.115.002239 |
| format | article |
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mActive enrolled smartphone users aged 18 to 69 years at an ambulatory cardiology center in Baltimore, Maryland. We used sequential randomization to evaluate the intervention's 2 core components. After establishing baseline activity during a blinded run-in (week 1), in phase I (weeks 2 to 3), we randomized 2:1 to unblinded versus blinded tracking. Unblinding allowed continuous access to activity data through a smartphone interface. In phase II (weeks 4 to 5), we randomized unblinded participants 1:1 to smart texts versus no texts. Smart texts provided smartphone-delivered coaching 3 times/day aimed at individual encouragement and fostering feedback loops by a fully automated, physician-written, theory-based algorithm using real-time activity data and 16 personal factors with a 10 000 steps/day goal. Forty-eight outpatients (46% women, 21% nonwhite) enrolled with a mean±SD age of 58±8 years, body mass index of 31±6 kg/m(2), and baseline activity of 9670±4350 steps/day. Daily activity data capture was 97.4%. The phase I change in activity was nonsignificantly higher in unblinded participants versus blinded controls by 1024 daily steps (95% confidence interval [CI], -580 to 2628; P=0.21). In phase II, participants receiving texts increased their daily steps over those not receiving texts by 2534 (95% CI, 1318 to 3750; P<0.001) and over blinded controls by 3376 (95% CI, 1951 to 4801; P<0.001).
An automated tracking-texting intervention increased physical activity with, but not without, the texting component. These results support new mHealth tracking technologies as facilitators in need of behavior change drivers.
URL: http://ClinicalTrials.gov/. Unique identifier: NCT01917812.</description><identifier>ISSN: 2047-9980</identifier><identifier>EISSN: 2047-9980</identifier><identifier>DOI: 10.1161/jaha.115.002239</identifier><identifier>PMID: 26553211</identifier><language>eng</language><publisher>England: John Wiley and Sons Inc</publisher><subject>Actigraphy - instrumentation ; Adolescent ; Adult ; Aged ; Algorithms ; Automation ; Baltimore ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - physiopathology ; Cardiovascular Diseases - prevention & control ; Cardiovascular Diseases - psychology ; Cell Phone ; Counseling ; Exercise ; Female ; Health Behavior ; Health Knowledge, Attitudes, Practice ; Health Promotion - methods ; Health Status ; Humans ; Male ; Middle Aged ; Mobile Applications ; Motivation ; Motor Activity ; Original Research ; Pilot Projects ; Risk Factors ; Risk Reduction Behavior ; Telemedicine - instrumentation ; Telemedicine - methods ; Text Messaging ; Time Factors ; Young Adult</subject><ispartof>Journal of the American Heart Association, 2015-11, Vol.4 (11)</ispartof><rights>2015 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-3f3d8dc41e5a5c72f389440fcc0026a2bdcde0a68674f828b0277cae6869cca83</citedby><cites>FETCH-LOGICAL-c459t-3f3d8dc41e5a5c72f389440fcc0026a2bdcde0a68674f828b0277cae6869cca83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845232/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845232/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26553211$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Martin, Seth S</creatorcontrib><creatorcontrib>Feldman, David I</creatorcontrib><creatorcontrib>Blumenthal, Roger S</creatorcontrib><creatorcontrib>Jones, Steven R</creatorcontrib><creatorcontrib>Post, Wendy S</creatorcontrib><creatorcontrib>McKibben, Rebeccah A</creatorcontrib><creatorcontrib>Michos, Erin D</creatorcontrib><creatorcontrib>Ndumele, Chiadi E</creatorcontrib><creatorcontrib>Ratchford, Elizabeth V</creatorcontrib><creatorcontrib>Coresh, Josef</creatorcontrib><creatorcontrib>Blaha, Michael J</creatorcontrib><title>mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion</title><title>Journal of the American Heart Association</title><addtitle>J Am Heart Assoc</addtitle><description>We hypothesized that a fully automated mobile health (mHealth) intervention with tracking and texting components would increase physical activity.
mActive enrolled smartphone users aged 18 to 69 years at an ambulatory cardiology center in Baltimore, Maryland. We used sequential randomization to evaluate the intervention's 2 core components. After establishing baseline activity during a blinded run-in (week 1), in phase I (weeks 2 to 3), we randomized 2:1 to unblinded versus blinded tracking. Unblinding allowed continuous access to activity data through a smartphone interface. In phase II (weeks 4 to 5), we randomized unblinded participants 1:1 to smart texts versus no texts. Smart texts provided smartphone-delivered coaching 3 times/day aimed at individual encouragement and fostering feedback loops by a fully automated, physician-written, theory-based algorithm using real-time activity data and 16 personal factors with a 10 000 steps/day goal. Forty-eight outpatients (46% women, 21% nonwhite) enrolled with a mean±SD age of 58±8 years, body mass index of 31±6 kg/m(2), and baseline activity of 9670±4350 steps/day. Daily activity data capture was 97.4%. The phase I change in activity was nonsignificantly higher in unblinded participants versus blinded controls by 1024 daily steps (95% confidence interval [CI], -580 to 2628; P=0.21). In phase II, participants receiving texts increased their daily steps over those not receiving texts by 2534 (95% CI, 1318 to 3750; P<0.001) and over blinded controls by 3376 (95% CI, 1951 to 4801; P<0.001).
An automated tracking-texting intervention increased physical activity with, but not without, the texting component. These results support new mHealth tracking technologies as facilitators in need of behavior change drivers.
URL: http://ClinicalTrials.gov/. Unique identifier: NCT01917812.</description><subject>Actigraphy - instrumentation</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Automation</subject><subject>Baltimore</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Diseases - physiopathology</subject><subject>Cardiovascular Diseases - prevention & control</subject><subject>Cardiovascular Diseases - psychology</subject><subject>Cell Phone</subject><subject>Counseling</subject><subject>Exercise</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Health Promotion - methods</subject><subject>Health Status</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mobile Applications</subject><subject>Motivation</subject><subject>Motor Activity</subject><subject>Original Research</subject><subject>Pilot Projects</subject><subject>Risk Factors</subject><subject>Risk Reduction Behavior</subject><subject>Telemedicine - instrumentation</subject><subject>Telemedicine - methods</subject><subject>Text Messaging</subject><subject>Time Factors</subject><subject>Young Adult</subject><issn>2047-9980</issn><issn>2047-9980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpVUU1LAzEQDaKoqGdvkqOX1nzuZj0IS1GrCIroOUyzWRvZ3WiSFuqvN7UqmsPkMW_mzQwPoWNKxpQW9OwV5pCRHBPCGK-20D4johxVlSLbf_AeOorxleRXsJLLahftsUJKzijdR66vTXJLe45r_AhD43v3YRs86dzgDHT4KbgcfYthwPUi-R5SpvuphS7N8c2QbFjaITk_4NYH_DBfxa--L1WXVvgh-N6v-UO000IX7dH3f4Cery6fJtPR3f31zaS-GxkhqzTiLW9UYwS1EqQpWctVJQRpjclXFsBmjWksgUIVpWgVUzPCytKAzYnKGFD8AF1sdN8Ws942Jm8XoNNvwfUQVtqD0_-Zwc31i19qoYRknGWB02-B4N8XNibdu2hs18Fg_SJqWnImKyXoetbZptQEH2Ow7e8YSvTaI31bT-uMpN54lDtO_m73W__jCP8EV9iO7A</recordid><startdate>20151109</startdate><enddate>20151109</enddate><creator>Martin, Seth S</creator><creator>Feldman, David I</creator><creator>Blumenthal, Roger S</creator><creator>Jones, Steven R</creator><creator>Post, Wendy S</creator><creator>McKibben, Rebeccah A</creator><creator>Michos, Erin D</creator><creator>Ndumele, Chiadi E</creator><creator>Ratchford, Elizabeth V</creator><creator>Coresh, Josef</creator><creator>Blaha, Michael J</creator><general>John Wiley and Sons 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><scope>5PM</scope></search><sort><creationdate>20151109</creationdate><title>mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion</title><author>Martin, Seth S ; Feldman, David I ; Blumenthal, Roger S ; Jones, Steven R ; Post, Wendy S ; McKibben, Rebeccah A ; Michos, Erin D ; Ndumele, Chiadi E ; Ratchford, Elizabeth V ; Coresh, Josef ; Blaha, Michael J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-3f3d8dc41e5a5c72f389440fcc0026a2bdcde0a68674f828b0277cae6869cca83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Actigraphy - instrumentation</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Automation</topic><topic>Baltimore</topic><topic>Cardiovascular Diseases - diagnosis</topic><topic>Cardiovascular Diseases - physiopathology</topic><topic>Cardiovascular Diseases - prevention & control</topic><topic>Cardiovascular Diseases - psychology</topic><topic>Cell Phone</topic><topic>Counseling</topic><topic>Exercise</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Health Promotion - methods</topic><topic>Health Status</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mobile Applications</topic><topic>Motivation</topic><topic>Motor Activity</topic><topic>Original Research</topic><topic>Pilot Projects</topic><topic>Risk Factors</topic><topic>Risk Reduction Behavior</topic><topic>Telemedicine - instrumentation</topic><topic>Telemedicine - methods</topic><topic>Text Messaging</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martin, Seth S</creatorcontrib><creatorcontrib>Feldman, David I</creatorcontrib><creatorcontrib>Blumenthal, Roger S</creatorcontrib><creatorcontrib>Jones, Steven R</creatorcontrib><creatorcontrib>Post, Wendy S</creatorcontrib><creatorcontrib>McKibben, Rebeccah A</creatorcontrib><creatorcontrib>Michos, Erin D</creatorcontrib><creatorcontrib>Ndumele, Chiadi E</creatorcontrib><creatorcontrib>Ratchford, Elizabeth V</creatorcontrib><creatorcontrib>Coresh, Josef</creatorcontrib><creatorcontrib>Blaha, Michael J</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>Journal of the American Heart Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martin, Seth S</au><au>Feldman, David I</au><au>Blumenthal, Roger S</au><au>Jones, Steven R</au><au>Post, Wendy S</au><au>McKibben, Rebeccah A</au><au>Michos, Erin D</au><au>Ndumele, Chiadi E</au><au>Ratchford, Elizabeth V</au><au>Coresh, Josef</au><au>Blaha, Michael J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion</atitle><jtitle>Journal of the American Heart Association</jtitle><addtitle>J Am Heart Assoc</addtitle><date>2015-11-09</date><risdate>2015</risdate><volume>4</volume><issue>11</issue><issn>2047-9980</issn><eissn>2047-9980</eissn><abstract>We hypothesized that a fully automated mobile health (mHealth) intervention with tracking and texting components would increase physical activity.
mActive enrolled smartphone users aged 18 to 69 years at an ambulatory cardiology center in Baltimore, Maryland. We used sequential randomization to evaluate the intervention's 2 core components. After establishing baseline activity during a blinded run-in (week 1), in phase I (weeks 2 to 3), we randomized 2:1 to unblinded versus blinded tracking. Unblinding allowed continuous access to activity data through a smartphone interface. In phase II (weeks 4 to 5), we randomized unblinded participants 1:1 to smart texts versus no texts. Smart texts provided smartphone-delivered coaching 3 times/day aimed at individual encouragement and fostering feedback loops by a fully automated, physician-written, theory-based algorithm using real-time activity data and 16 personal factors with a 10 000 steps/day goal. Forty-eight outpatients (46% women, 21% nonwhite) enrolled with a mean±SD age of 58±8 years, body mass index of 31±6 kg/m(2), and baseline activity of 9670±4350 steps/day. Daily activity data capture was 97.4%. The phase I change in activity was nonsignificantly higher in unblinded participants versus blinded controls by 1024 daily steps (95% confidence interval [CI], -580 to 2628; P=0.21). In phase II, participants receiving texts increased their daily steps over those not receiving texts by 2534 (95% CI, 1318 to 3750; P<0.001) and over blinded controls by 3376 (95% CI, 1951 to 4801; P<0.001).
An automated tracking-texting intervention increased physical activity with, but not without, the texting component. These results support new mHealth tracking technologies as facilitators in need of behavior change drivers.
URL: http://ClinicalTrials.gov/. Unique identifier: NCT01917812.</abstract><cop>England</cop><pub>John Wiley and Sons Inc</pub><pmid>26553211</pmid><doi>10.1161/jaha.115.002239</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Actigraphy - instrumentation Adolescent Adult Aged Algorithms Automation Baltimore Cardiovascular Diseases - diagnosis Cardiovascular Diseases - physiopathology Cardiovascular Diseases - prevention & control Cardiovascular Diseases - psychology Cell Phone Counseling Exercise Female Health Behavior Health Knowledge, Attitudes, Practice Health Promotion - methods Health Status Humans Male Middle Aged Mobile Applications Motivation Motor Activity Original Research Pilot Projects Risk Factors Risk Reduction Behavior Telemedicine - instrumentation Telemedicine - methods Text Messaging Time Factors Young Adult |
| title | mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion |
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