Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Advice: Development, Dissemination Through General Practice, Acceptability, and Preliminary Efficacy in a Randomized Controlled Trial

Background Computer tailoring is a relatively innovative and promising physical activity intervention approach. However, few computer-tailored physical activity interventions in adults have provided feedback based on pedometer use. Objectives To (1) describe the development of a Web-based, pedometer-based, computer-tailored step advice intervention, (2) report on the dissemination of this tool through general practice, (3) report on its perceived acceptability, and (4) evaluate the preliminary efficacy of this tool in comparison with a standard intervention. Methods We recruited 92 participants through general practitioners and randomly assigned them to a standard condition (receiving a pedometer-only intervention, n = 47) and a tailored condition (receiving a pedometer plus newly developed, automated, computer-tailored step advice intervention, n = 45). Step counts, self-reported data obtained via telephone interview on physical activity, time spent sitting, and body mass index were assessed at baseline and postintervention. The present sample was mostly female (54/92, 59%), highly educated (59/92, 64%), employed (65/92, 71%), and in good health (62/92, 67%). Results Recruitment through general practitioners was poor (n = 107, initial response rate 107/1737, 6.2%); however, the majority of participants (50/69, 73%) believed it is useful that general practitioners help patients find ways to increase physical activity. In the tailored condition, 30/43 (70%) participants requested the computer-tailored step advice and the majority found it understandable (21/21, 100%), credible (17/18, 94%), relevant (15/18, 83%), not too long (13/18, 72%), instructive (13/18, 72%), and encouraging to increase steps (16/24, 67%). Daily step counts increased from baseline (mean 9237, SD 3749 steps/day) to postintervention (mean 11,876, SD 4574 steps/day) in the total sample (change of 2639, 95% confidence interval 105–5172; F 1 = 5.0, P = .04). No interaction or other time effects were found. Conclusions The majority of participants in the tailored condition accepted the step advice and indicated it was useful. However, in this selected sample of adults, the tailored condition did not show superior effects compared with the standard condition.

[1]  S. Anderssen,et al.  Accelerometer-determined physical activity in adults and older people. , 2012, Medicine and science in sports and exercise.

[2]  G. Eysenbach CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions , 2011, Journal of medical Internet research.

[3]  Ilse de Bourdeaudhuij,et al.  The effects of a pedometer-based behavioral modification program with telephone support on physical activity and sedentary behavior in type 2 diabetes patients. , 2011, Patient education and counseling.

[4]  B. Franklin,et al.  American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. , 2011, Medicine and science in sports and exercise.

[5]  S. Blair,et al.  Physical activity for health: What kind? How much? How intense? On top of what? , 2011, Annual review of public health.

[6]  Greet Cardon,et al.  The impact of disseminating the whole-community project '10,000 Steps': a RE-AIM analysis , 2011, BMC public health.

[7]  R. Dalle Grave,et al.  Cognitive-Behavioral Strategies to Increase the Adherence to Exercise in the Management of Obesity , 2010, Journal of obesity.

[8]  S. Carlson,et al.  Trend and prevalence estimates based on the 2008 Physical Activity Guidelines for Americans. , 2010, American journal of preventive medicine.

[9]  Willem van Mechelen,et al.  Accelerometers and Internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention [ISRCTN93896459]. , 2010, Preventive medicine.

[10]  C. Vandelanotte,et al.  Physical activity trends in Queensland (2002 to 2008): are women becoming more active than men? , 2010, Australian and New Zealand journal of public health.

[11]  B. Focht,et al.  The Impact of a Student-Led Pedometer Intervention Incorporating Cognitive-Behavioral Strategies on Step Count and Self-Efficacy , 2010, Research quarterly for exercise and sport.

[12]  Willem Van Mechelen,et al.  Feasibility and Effectiveness of Online Physical Activity Advice Based on a Personal Activity Monitor: Randomized Controlled Trial , 2009, Journal of medical Internet research.

[13]  Juliann Cortese,et al.  Computer-tailored health interventions delivered over the Web: review and analysis of key components. , 2009, Patient education and counseling.

[14]  W. K. Mummery,et al.  Whole of community physical activity interventions: easier said than done , 2008, British Journal of Sports Medicine.

[15]  G. Cardon,et al.  The effect of pedometer use in combination with cognitive and behavioral support materials to promote physical activity. , 2008, Patient education and counseling.

[16]  Wendy J Brown,et al.  Effects of "10,000 steps Ghent": a whole-community intervention. , 2007, American journal of preventive medicine.

[17]  I-Min Lee,et al.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. , 2007, Medicine and science in sports and exercise.

[18]  C. Vandelanotte,et al.  Website-delivered physical activity interventions a review of the literature. , 2007, American journal of preventive medicine.

[19]  J. S. Sodhi,et al.  Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial , 2007, Journal of medical Internet research.

[20]  Corneel Vandelanotte,et al.  Evaluation of a website-delivered computer-tailored intervention for increasing physical activity in the general population. , 2007, Preventive medicine.

[21]  Ilse De Bourdeaudhuij,et al.  Implementation of an online tailored physical activity intervention for adults in Belgium. , 2006, Health promotion international.

[22]  J Brug,et al.  Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. , 2006, Health education research.

[23]  Catrine Tudor-Locke,et al.  But What About Swimming and Cycling? How to "Count" Non-Ambulatory Activity When Using Pedometers to Assess Physical Activity. , 2006, Journal of physical activity & health.

[24]  W. Kroeze,et al.  A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors , 2006, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[25]  W. van Mechelen,et al.  Promoting physical activity using an activity monitor and a tailored web-based advice: design of a randomized controlled trial [ISRCTN93896459] , 2005, BMC public health.

[26]  L. Dugdill,et al.  Health professionals' perspectives in exercise referral: implications for the referral process , 2005, Ergonomics.

[27]  C. Vandelanotte,et al.  Efficacy of sequential or simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake , 2005, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[28]  Charles E Matthews,et al.  The effect of social desirability and social approval on self-reports of physical activity. , 2005, American journal of epidemiology.

[29]  M. Thorogood,et al.  Interventions for promoting physical activity. , 2005, The Cochrane database of systematic reviews.

[30]  B. Ainsworth,et al.  Descriptive epidemiology of pedometer-determined physical activity. , 2004, Medicine and science in sports and exercise.

[31]  Bess H Marcus,et al.  Feasibility of incorporating computer-tailored health behaviour communications in primary care settings. , 2004, Informatics in primary care.

[32]  B. Ainsworth,et al.  International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.

[33]  Scott E Crouter,et al.  Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. , 2003, Medicine and science in sports and exercise.

[34]  Alison L Marshall,et al.  Print versus website physical activity programs: a randomized trial. , 2003, American journal of preventive medicine.

[35]  Corneel Vandelanotte,et al.  Acceptability and feasibility of a computer-tailored physical activity intervention using stages of change: project FAITH. , 2003, Health education research.

[36]  Johannes Brug,et al.  Past, present, and future of computer-tailored nutrition education. , 2003, The American journal of clinical nutrition.

[37]  P. Corso,et al.  The effectiveness of interventions to increase physical activity. A systematic review. , 2002, American journal of preventive medicine.

[38]  J. Seeley,et al.  The diabetes network internet-based physical activity intervention: a randomized pilot study. , 2001, Diabetes care.

[39]  C. Tudor-Locke,et al.  Development of a Theory-Based Daily Activity Intervention for Individuals With Type 2 Diabetes , 2001, The Diabetes educator.

[40]  J. Sallis,et al.  Assessment of Physical Activity by Self-Report: Status, Limitations, and Future Directions , 2000, Research quarterly for exercise and sport.

[41]  S. Mcphee,et al.  Exercise counseling by primary care physicians in the era of managed care. , 1999, American journal of preventive medicine.

[42]  J. Brug,et al.  Computer-tailored interventions motivating people to adopt health promoting behaviours: introduction to a new approach. , 1999, Patient education and counseling.

[43]  R. Kushner,et al.  Barriers to providing nutrition counseling by physicians: a survey of primary care practitioners. , 1995, Preventive medicine.

[44]  J. Prochaska,et al.  In Search of How People Change: Applications to Addictive Behaviors , 1992, The American psychologist.

[45]  C C Conrad,et al.  The president's council on physical fitness and sports. , 1981, The American journal of sports medicine.

[46]  C. Vandelanotte,et al.  Reliability and Validity of a Computerized and Dutch Version of the International Physical Activity Questionnaire (IPAQ) , 2005 .

[47]  A. Bauman,et al.  Engagement and retention of participants in a physical activity website. , 2005, Preventive medicine.

[48]  A. Marshall,et al.  Exploring the feasibility and acceptability of using internet technology to promote physical activity within a defined community. , 2005, Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals.

[49]  Adrian Bauman,et al.  Evaluation of an internet-based physical activity intervention: A preliminary investigation , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[50]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[51]  Bmc Public Health the Active plus Protocol: Systematic Development of Two Theory- and Evidence-based Tailored Physical Activity Interventions for the Over-fifties , 2022 .