Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial

Robert Hurling, Michael Catt, Marco De Boni, Bruce William Fairley, Tina Hurst, Peter Murray, Alannah Richardson, Jaspreet Singh Sodhi, Robert Hurling, Michael Catt, Marco De Boni, Bruce William Fairley, Tina Hurst, Peter Murray, Alannah Richardson, Jaspreet Singh Sodhi

Abstract

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.

Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Flow diagram of study participation
Figure 2
Figure 2
Behaviour change system home page
Figure 3
Figure 3
Weekly activity charts
Figure 4
Figure 4
Accelerometer-measured mean number of 2-min epochs spent in moderate intensity MET range (above 3 and up to 6); error bars represent SE; baseline is 3-week average before start of intervention

References

    1. Murray C J, Lopez A D. Evidence-based health policy--lessons from the Global Burden of Disease Study. Science. 1996 Nov 1;274(5288):740–3. doi: 10.1126/science.274.5288.740.
    1. Kristensen T, Kornitzer M, Alfredsson L. Social factors, work, stress and cardiovascular disease prevention in the European Union. Brussels, Belgium: European Heart Network; 1998.
    1. Dytell RS, Trent LK, Conway TL. A causal analysis of interrelationships among exercise, physical fitness, and well-being in the U.S. Navy personnel. Report No. 91-27. San Diego, CA: US Naval Health Research Center; 1991.
    1. Wielenga R P, Erdman R A, Huisveld I A, Bol E, Dunselman P H, Baselier M R, Mosterd W L. Effect of exercise training on quality of life in patients with chronic heart failure. J Psychosom Res. 1998 Nov;45(5):459–64. doi: 10.1016/S0022-3999(97)00309-7.S0022399997003097
    1. National Center for Health Statistics, authors. Health, 2005, United States, with chart book on trends in the health of Americans. Hyattsville, MD: National Center for Health Statistics; 2006.
    1. US Department of Health and Human Services, Centers for Disease Control and Prevention, authors. CDC. Atlanta, GA: 1996. [2007 Apr 27]. Physical activity and health: a report of the Surgeon General .
    1. US Department of Health and Human Services and US Department of Agriculture, authors. Dietary Guidelines for Americans 2005. . [2005 Mar 3]. .
    1. Sallis J F, Bauman A, Pratt M. Environmental and policy interventions to promote physical activity. Am J Prev Med. 1998 Nov;15(4):379–97. doi: 10.1016/S0749-3797(98)00076-2.S0749379798000762
    1. Crespo C J, Keteyian S J, Heath G W, Sempos C T. Leisure-time physical activity among US adults. Results from the Third National Health and Nutrition Examination Survey. Arch Intern Med. 1996 Jan 8;156(1):93–8. doi: 10.1001/archinte.156.1.93.
    1. Pate RR, Baranowski T, Dowda M, Trost SG. Tracking of physical activity in children. Med Sci Sport Exerc. 1996;28(1):92–96. doi: 10.1097/00005768-199601000-00019.
    1. Atkinson Nancy L, Gold Robert S. The promise and challenge of eHealth interventions. Am J Health Behav. 2002;26(6):494–503.
    1. Tate D F, Wing R R, Winett R A. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001 Mar 7;285(9):1172–7. doi: 10.1001/jama.285.9.1172. joc01569
    1. Tate Deborah F, Jackvony Elizabeth H, Wing Rena R. Effects of Internet behavioral counseling on weight loss in adults at risk for type 2 diabetes: a randomized trial. JAMA. 2003 Apr 9;289(14):1833–6. doi: 10.1001/jama.289.14.1833. 289/14/1833
    1. Pinto Bernardine M, Friedman Robert, Marcus Bess H, Kelley Heather, Tennstedt Sharon, Gillman Matthew W. Effects of a computer-based, telephone-counseling system on physical activity. Am J Prev Med. 2002 Aug;23(2):113–20. doi: 10.1016/S0749-3797(02)00441-5.S0749379702004415
    1. Yoshioka M, Ayabe M, Yahiro T, Higuchi H, Higaki Y, St-Amand J, Miyazaki H, Yoshitake Y, Shindo M, Tanaka H. Long-period accelerometer monitoring shows the role of physical activity in overweight and obesity. Int J Obes (Lond) 2005 May;29(5):502–8. doi: 10.1038/sj.ijo.0802891.0802891
    1. Tudor-Locke Catrine, Bassett David R, Swartz Ann M, Strath Scott J, Parr Brian B, Reis Jared P, Dubose Katrina D, Ainsworth Barbara E. A preliminary study of one year of pedometer self-monitoring. Ann Behav Med. 2004 Dec;28(3):158–62. doi: 10.1207/s15324796abm2803_3.
    1. Doshi Amol, Patrick Kevin, Sallis James F, Calfas Karen. Evaluation of physical activity web sites for use of behavior change theories. Ann Behav Med. 2003;25(2):105–11. doi: 10.1207/S15324796ABM2502_06.
    1. Lenert Leslie, Muñoz Ricardo F, Stoddard Jackie, Delucchi Kevin, Bansod Aditya, Skoczen Steven, Pérez-stable Eliseo J. Design and pilot evaluation of an internet smoking cessation program. J Am Med Inform Assoc. 2003;10(1):16–20. doi: 10.1197/jamia.M1128.
    1. Hurling R, Fairley BW, Dias MB. Internet-based exercise interventions: are more interactive designs better? Psychol Health. 2006;21(6):757–772. doi: 10.1080/14768320600603257.
    1. Festinger L. A theory of social comparison processes. Human Relat. 1954;7(2):117–140. doi: 10.1177/001872675400700202.
    1. Janis I, Mann L. Decision making: a psychological analysis of conflict, choice and commitment. New York: Free Press; 1977.
    1. Petty RE, Cacioppo JT. The Elaboration Likelihood Model of Persuasion. New York: Academic Press; 1986.
    1. Gollwitzer PM. Goal achievement: the role of intentions. Eur Rev of Soc Psychol. 1993;4:141–185.
    1. . [2006 Jun 20].
    1. World Medical Association, authors. Declaration of Helsinki: Ethical principles for medical research involving human subjects. World Medical Association. 1996. .
    1. Canadian Society for Exercise Physiology, authors. CSEP. Ottawa, Ontario: Minister of Public Works and Government Services; 2002. PAR-Q & you. .
    1. Cook D G, Shaper A G, MacFarlane P W. Using the WHO (Rose) angina questionnaire in cardiovascular epidemiology. Int J Epidemiol. 1989 Sep;18(3):607–13. doi: 10.1093/ije/18.3.607.
    1. Mathie M J, Celler B G, Lovell N H, Coster A C F. Classification of basic daily movements using a triaxial accelerometer. Med Biol Eng Comput. 2004 Sep;42(5):679–87. doi: 10.1007/BF02347551.
    1. Bouten C V, Koekkoek K T, Verduin M, Kodde R, Janssen J D. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Trans Biomed Eng. 1997 Mar;44(3):136–47. doi: 10.1109/10.554760.
    1. Chen Kong Y, Bassett David R. The technology of accelerometry-based activity monitors: current and future. Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S490–500.00005768-200511001-00002
    1. Puyau Maurice R, Adolph Anne L, Vohra Firoz A, Zakeri Issa, Butte Nancy F. Prediction of activity energy expenditure using accelerometers in children. Med Sci Sports Exerc. 2004 Sep;36(9):1625–31.00005768-200409000-00024
    1. Kumahara Hideaki, Schutz Yves, Ayabe Makoto, Yoshioka Mayumi, Yoshitake Yutaka, Shindo Munehiro, Ishii Kojiro, Tanaka Hiroaki. The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry. Br J Nutr. 2004 Feb;91(2):235–43. doi: 10.1079/BJN20031033.S0007114504000327
    1. Cambridge Neurotechnology Ltd home page. [2007 Apr 3]. .
    1. De Boni M, Hurling R, Hunt DL. Proceedings of the IADIS International Conference on Applied Computing. San Sebastian, Spain: IADIS; 2006. Recognizing well-formed implementation intentions in a computer-based health improvement system.
    1. Prestwich A, Perugini M, Hurling R. BPS Division of Health Psychology Annual Conference; September 13-15. University of Essex, UK: BPS; 2006. Can text messages strengthen the effects of implementation intentions on exercise?
    1. De Boni M, Hurling R, Dryden W. Proceedings of the IADIS International Conference WWW/Internet; October 19-22. Lisbon, Portugal: IADIS; 2005. A rational-emotive behavior therapy-based automated dialogue system for exercise behavior change.
    1. Craig Cora L, Marshall Alison L, Sjöström Michael, Bauman Adrian E, Booth Michael L, Ainsworth Barbara E, Pratt Michael, Ekelund Ulf, Yngve Agneta, Sallis James F, Oja Pekka. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381–95. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. Body Composition Analyzer Model BF-350. Tanita Ltd, UK. Tanita Ltd, UK. .
    1. Leicester Height Measure. Seca Ltd, UK. .
    1. Boso Medicus Prestige. Bosch & Sohn, Germany. .
    1. Whitworth Judith A, Chalmers John. World health organisation-international society of hypertension (WHO/ISH) hypertension guidelines. Clin Exp Hypertens. 2004;26(7-8):747–52. doi: 10.1081/CEH-200032152.
    1. Williams Kate, Prevost A Toby, Griffin Simon, Hardeman Wendy, Hollingworth William, Spiegelhalter David, Sutton Stephen, Ekelund Ulf, Wareham Nicholas, Kinmonth Ann Louise. The ProActive trial protocol - a randomised controlled trial of the efficacy of a family-based, domiciliary intervention programme to increase physical activity among individuals at high risk of diabetes [ISRCTN61323766] BMC Public Health. 2004 Oct 18;4(1):48. doi: 10.1186/1471-2458-4-48. 1471-2458-4-48
    1. Markland D, Tobin V. A Modification to the Behavioural Regulation in Exercise Questionnaire to Include an Assessment of Amotivation. J Sport Exer Psychol. 2004;26:191–196.
    1. International Physical Activity Questionnaire. Karolinska Institute. [2007 Apr 3]. .
    1. Ekelund Ulf, Sardinha Luis B, Anderssen Sigmund A, Harro Marike, Franks Paul W, Brage Sören, Cooper Ashley R, Andersen Lars Bo, Riddoch Chris, Froberg Karsten. Associations between objectively assessed physical activity and indicators of body fatness in 9- to 10-y-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study) Am J Clin Nutr. 2004 Sep;80(3):584–90. 80/3/584
    1. Ainsworth B E, Haskell W L, Leon A S, Jacobs D R, Montoye H J, Sallis J F, Paffenbarger R S. Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc. 1993 Jan;25(1):71–80. doi: 10.1249/00005768-199301000-00011.
    1. Ainsworth BE, Bassett DR, Jr, Strath SJ, Swartz AM, O’Brien WL, Thompson RW, Jones DA, Macera CA, Kimsey DC. Comparison of three methods for measuring the time spent in physical activity. Med Sci Sports Exerc. 2000;32(9)
    1. SAS version 9.1.3. SAS Institute. Cary, NC, USA.
    1. Miller W C, Eggert K E, Wallace J P, Lindeman A K, Jastremski C. Successful weight loss in a self-taught, self-administered program. Int J Sports Med. 1993 Oct;14(7):401–5.
    1. Klem ML, Klesges RC. Competition in a minimum-contact weight loss program. J Consult Clin Psychol. 1998;56:142–144.
    1. Franks Peter, Gold Marthe R, Fiscella Kevin. Sociodemographics, self-rated health, and mortality in the US. Soc Sci Med. 2003 Jun;56(12):2505–14. doi: 10.1016/S0277-9536(02)00281-2.S0277953602002812
    1. Brown David W, Balluz Lina S, Heath Gregory W, Moriarty David G, Ford Earl S, Giles Wayne H, Mokdad Ali H. Associations between recommended levels of physical activity and health-related quality of life. Findings from the 2001 Behavioral Risk Factor Surveillance System (BRFSS) survey. Prev Med. 2003 Nov;37(5):520–8. doi: 10.1016/S0091-7435(03)00179-8.S0091743503001798
    1. Fogg BJ. Persuasive Technology. San Francisco: Morgan Kaufmann; 2002.
    1. Womble Leslie G, Wadden Thomas A, Mcguckin Brian G, Sargent Stephanie L, Rothman Rebecca A, Krauthamer-ewing E Stephanie. A randomized controlled trial of a commercial internet weight loss program. Obes Res. 2004 Jun;12(6):1011–8. 12/6/1011
    1. Plasqui Guy, Joosen Annemiek M C P, Kester Arnold D, Goris Annelies H C, Westerterp Klaas R. Measuring free-living energy expenditure and physical activity with triaxial accelerometry. Obes Res. 2005 Aug;13(8):1363–9. 13/8/1363
    1. Williams P, Fitzsimons GJ, Block G. When consumers do not recognize benign intention questions as persuasion attempts. J Consum Res. 2004;31(3):540–550. doi: 10.1086/425088.
    1. Ajzen I. The theory of planned behavior. Organ Behav Human Decis Process. 1991;50(2):179–211. doi: 10.1016/0749-5978(91)90020-T.
    1. Conner M, Sparks P. Theory of planned behavior and health behavior. In: Conner M, Norman P, editors. Predicting Health Behavior, p. 121-162. Buckingham, UK: Open University Press; 1996.
    1. Prestwich AJ, Lawton RJ, Conner MT. The use of implementation intentions and the decision balance sheet in promoting exercise behaviour. Psychol Health. 2003;18(6):707–721. doi: 10.1080/08870440310001594493.
    1. Prestwich AJ. Motivational and volitional interventions in exercise promotion: is two better than one? Health Psychol Update. 2003;12(2):13–15.
    1. Hillsdon M, Thorogood M. A systematic review of physical activity promotion strategies. Br J Sports Med. 1996 Jun;30(2):84–9.
    1. Ronda G, Van Assema P, Brug J. Stages of change, psychological factors and awareness of physical activity levels in The Netherlands. Health Promot Int. 2001 Dec;16(4):305–14. doi: 10.1093/heapro/16.4.305.
    1. Conn Vicki S, Valentine Jeffrey C, Cooper Harris M. Interventions to increase physical activity among aging adults: a meta-analysis. Ann Behav Med. 2002;24(3):190–200. doi: 10.1207/S15324796ABM2403_04.
    1. Blair SN. Methods for voluntary weight loss and control: national institutes of health technology assessment conference: evidence for success of exercise in weight loss and control. Ann Intern Med. 1993;119:702–706.
    1. Ross Robert, Janssen Ian, Dawson Jody, Kungl Ann-Marie, Kuk Jennifer L, Wong Suzy L, Nguyen-duy Thanh-Binh, Lee SoJung, Kilpatrick Katherine, Hudson Robert. Exercise-induced reduction in obesity and insulin resistance in women: a randomized controlled trial. Obes Res. 2004 May;12(5):789–98. 12/5/789
    1. Garrow J S, Summerbell C D. Meta-analysis: effect of exercise, with or without dieting, on the body composition of overweight subjects. Eur J Clin Nutr. 1995 Jan;49(1):1–10.
    1. Sechrist K R, Walker S N, Pender N J. Development and psychometric evaluation of the exercise benefits/barriers scale. Res Nurs Health. 1987 Dec;10(6):357–65. doi: 10.1002/nur.4770100603.
    1. Cassell M M, Jackson C, Cheuvront B. Health communication on the Internet: an effective channel for health behavior change? J Health Commun. 1998;3(1):71–9. doi: 10.1080/108107398127517.
    1. Skinner BF. Contingencies of reinforcement: a theoretical analysis. New York: Appleton-Century-Crofts; 1969.
    1. Dishman R K, Buckworth J. Increasing physical activity: a quantitative synthesis. Med Sci Sports Exerc. 1996 Jun;28(6):706–19.

Source: PubMed

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