Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial

Background The Internet has potential as a medium for health behavior change programs, but no controlled studies have yet evaluated the impact of a fully automated physical activity intervention over several months with real-time objective feedback from a monitor....

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Main Authors: Hurling, Robert, Catt, Michael, De Boni, Marco, Fairley, Bruce William, Hurst, Tina, Murray, Peter, Richardson, Alannah, Sodhi, Jaspreet Singh
Format: Article
Language:English
Published: JMIR Publications 2007-04-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2007/2/e7/
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spelling doaj-5a7c2a4fa2e74565a1abf7a8e4a18c342021-04-02T19:00:33ZengJMIR PublicationsJournal of Medical Internet Research1438-88712007-04-0192e710.2196/jmir.9.2.e7Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled TrialHurling, RobertCatt, MichaelDe Boni, MarcoFairley, Bruce WilliamHurst, TinaMurray, PeterRichardson, AlannahSodhi, Jaspreet Singh Background The Internet has potential as a medium for health behavior change programs, but no controlled studies have yet evaluated the impact of a fully automated physical activity intervention over several months with real-time objective feedback from a monitor. Objective The aim was to evaluate the impact of a physical activity program based on the Internet and mobile phone technology provided to individuals for 9 weeks. Methods A single-center, randomized, stratified controlled trial was conducted from September to December 2005 in Bedfordshire, United Kingdom, with 77 healthy adults whose mean age was 40.4 years (SD = 7.6) and mean body mass index was 26.3 (SD = 3.4). Participants were randomized to a test group that had access to an Internet and mobile phone–based physical activity program (n = 47) or to a control group (n = 30) that received no support. The test group received tailored solutions for perceived barriers, a schedule to plan weekly exercise sessions with mobile phone and email reminders, a message board to share their experiences with others, and feedback on their level of physical activity. Both groups were issued a wrist-worn accelerometer to monitor their level of physical activity; only the test group received real-time feedback via the Internet. The main outcome measures were accelerometer data and self-report of physical activity. Results At the end of the study period, the test group reported a significantly greater increase over baseline than did the control group for perceived control (P < .001) and intention/expectation to exercise (P < .001). Intent-to-treat analyses of both the accelerometer data (P = .02) and leisure time self-report data (P = .03) found a higher level of moderate physical activity in the test group. The average increase (over the control group) in accelerometer-measured moderate physical activity was 2 h 18 min per week. The test group also lost more percent body fat than the control group (test group: −2.18, SD = 0.59; control group: −0.17, SD = 0.81; P = .04). Conclusions A fully automated Internet and mobile phone–based motivation and action support system can significantly increase and maintain the level of physical activity in healthy adults.http://www.jmir.org/2007/2/e7/
collection DOAJ
language English
format Article
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author Hurling, Robert
Catt, Michael
De Boni, Marco
Fairley, Bruce William
Hurst, Tina
Murray, Peter
Richardson, Alannah
Sodhi, Jaspreet Singh
spellingShingle Hurling, Robert
Catt, Michael
De Boni, Marco
Fairley, Bruce William
Hurst, Tina
Murray, Peter
Richardson, Alannah
Sodhi, Jaspreet Singh
Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
Journal of Medical Internet Research
author_facet Hurling, Robert
Catt, Michael
De Boni, Marco
Fairley, Bruce William
Hurst, Tina
Murray, Peter
Richardson, Alannah
Sodhi, Jaspreet Singh
author_sort Hurling, Robert
title Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
title_short Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
title_full Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
title_fullStr Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
title_full_unstemmed Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
title_sort using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2007-04-01
description Background The Internet has potential as a medium for health behavior change programs, but no controlled studies have yet evaluated the impact of a fully automated physical activity intervention over several months with real-time objective feedback from a monitor. Objective The aim was to evaluate the impact of a physical activity program based on the Internet and mobile phone technology provided to individuals for 9 weeks. Methods A single-center, randomized, stratified controlled trial was conducted from September to December 2005 in Bedfordshire, United Kingdom, with 77 healthy adults whose mean age was 40.4 years (SD = 7.6) and mean body mass index was 26.3 (SD = 3.4). Participants were randomized to a test group that had access to an Internet and mobile phone–based physical activity program (n = 47) or to a control group (n = 30) that received no support. The test group received tailored solutions for perceived barriers, a schedule to plan weekly exercise sessions with mobile phone and email reminders, a message board to share their experiences with others, and feedback on their level of physical activity. Both groups were issued a wrist-worn accelerometer to monitor their level of physical activity; only the test group received real-time feedback via the Internet. The main outcome measures were accelerometer data and self-report of physical activity. Results At the end of the study period, the test group reported a significantly greater increase over baseline than did the control group for perceived control (P < .001) and intention/expectation to exercise (P < .001). Intent-to-treat analyses of both the accelerometer data (P = .02) and leisure time self-report data (P = .03) found a higher level of moderate physical activity in the test group. The average increase (over the control group) in accelerometer-measured moderate physical activity was 2 h 18 min per week. The test group also lost more percent body fat than the control group (test group: −2.18, SD = 0.59; control group: −0.17, SD = 0.81; P = .04). Conclusions A fully automated Internet and mobile phone–based motivation and action support system can significantly increase and maintain the level of physical activity in healthy adults.
url http://www.jmir.org/2007/2/e7/
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