SMART MOVE - a smartphone-based intervention to promote physical activity in primary care: study protocol for a randomized controlled trial

Trials

Andrew W Murphy⁴  David Heaney³  Gearóid ÓLaighin¹  John Newell²  Alberto Alvarez-Iglesias²  Fergus Glynn⁵  Monica Casey⁴  Patrick S Hayes⁴  Liam G Glynn⁵ 

[1] National Center for Biomedical Engineering and Science, National University of Ireland, Galway, Ireland;HRB Clinical Research Facility Galway, National University of Ireland, Galway, Ireland;Center for Rural Health, University of Aberdeen, Inverness, Scotland;Discipline of General Practice, School of Medicine, National University of Ireland, Galway, Ireland;Graduate Entry Medical School, University of Limerick, Limerick, Ireland

关键词: Pedometer and primary care;    Step counter;    Application;    Physical therapy;    Exercise;    Mobile phone;    Cell phone;    iPhone;    Smartphone;   

Others  :  1093833
DOI  :  10.1186/1745-6215-14-157

 received in 2013-02-20, accepted in 2013-05-14,  发布年份 2013

【 摘 要 】

Background

Sedentary lifestyles are now becoming a major concern for governments of developed and developing countries with physical inactivity related to increased all-cause mortality, lower quality of life, and increased risk of obesity, diabetes, hypertension and many other chronic diseases. The powerful onboard computing capacity of smartphones, along with the unique relationship individuals have with their mobile phones, suggests that mobile devices have the potential to influence behavior. However, no previous trials have been conducted using smartphone technology to promote physical activity. This project has the potential to provide robust evidence in this area of innovation. The aim of this study is to evaluate the effectiveness of a smartphone application as an intervention to promote physical activity in primary care.

Methods/design

A two-group, parallel randomized controlled trial (RCT) with a main outcome measure of mean difference in daily step count between baseline and follow up over eight weeks. A minimum of 80 active android smartphone users over 16 years of age who are able to undertake moderate physical activity are randomly assigned to the intervention group (n = 40) or to a control group (n = 40) for an eight week period. After randomization, all participants will complete a baseline period of one week during which a baseline mean daily step count will be established. The intervention group will be instructed in the usability features of the smartphone application, will be encouraged to try to achieve 10,000 steps per day as an exercise goal and will be given an exercise promotion leaflet. The control group will be encouraged to try to walk an additional 30 minutes per day along with their normal activity (the equivalent of 10,000 steps) as an exercise goal and will be given an exercise promotion leaflet. The primary outcome is mean difference in daily step count between baseline and follow-up. Secondary outcomes are systolic and diastolic blood pressure, resting heart rate, mental health score using HADS and quality of life score using Euroqol. Randomization and allocation to the intervention and groups will be carried out by an independent researcher, ensuring the allocation sequence is concealed from the study researchers until the interventions are assigned. The primary analysis is based on mean daily step count, comparing the mean difference in daily step count between the baseline and the trial periods in the intervention and control groups at follow up.

Trial registration

Current Controlled Trials ISRCTN99944116

【 授权许可】

   
2013 Glynn et al.; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]Varo JJ, Martínez-González MA, Martínez JA: Obesity prevalence in Europe. An Sist Sanit Navar 2002, 25(1):103-108.
• [2]Chan M: Obesity: bad trouble is on its way: World Health Organization. 2012. [updated 2012-09-25 12:13:06; cited 2012 15 November]. Available from: http://www.who.int/dg/speeches/2012/forum_20120921/en/ webcite
• [3]Brownson RC, Boehmer TK, Luke DA: Declining rates of physical activity in the United States: what are the contributors? Annu Rev Public Health 2005, 26:421-443.
• [4]Tudor-Locke C, Lutes L: Why do pedometers work?: a reflection upon the factors related to successfully increasing physical activity. Sports Med 2009, 39:981-993.
• [5]Armit CM, Brown WJ, Marshall AL, Ritchie CB, Trost SG, Green A, Bauman A: Randomized trial of three strategies to promote physical activity in general practice. Prev Med 2009, 48(2):156-163.
• [6]Leijon M, Arvidsson D, Nilsen P, Ekman DS, Carlfjord S, Andersson A, Johansson AL, Bendtsen P: Improvement of physical activity by a kiosk-based electronic screening and brief intervention in routine primary health care: patient-initiated versus staff-referred. J Med Internet Res 2011, 13:e99.
• [7]Culhane KM, O’Connor M, Lyons D, Lyons GM: Accelerometers in rehabilitation medicine for older adults. Age Ageing 2005, 34:556-560.
• [8]Schneider PL, Crouter SE, Lukajic O, Bassett DR: Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. Med Sci Sports Exerc 2003, 35:1779-1784.
• [9]Nielsen 2012. http://blog.nielsen.com/nielsenwire/online_mobile/smartphones-account-for-half-of-all-mobile-phones-dominate-new-phone-purchases-in-the-us/ webcite volume 2012
• [10]Hayes P, Keenan M, Casey M, Mulligan J, O’ Laighin G, Glynn F, Murphy AW, Glynn LG: Smartphone applications for the promotion of physical activity in the community: a systematic review. The Association of University Departments of General Practice Ireland annual scientific meeting. Limerick: University of Limerick; 2013.
• [11]Bravata DM, Smith-Spangler C, Sundaram V, Gienger AL, Lin N, Lewis R, Stave CD, Olkin I, Sirard JR: Using pedometers to increase physical activity and improve health: a systematic review. JAMA 2007, 298(19):2296-2304.
• [12]Belghazi J, El Feghali RN, Moussalem T, Rejdych M, Asmar RG: Validation of four automatic devices for self-measurement of blood pressure according to the International Protocol of the European Society of Hypertension. Vasc Health Risk Manag 2007, 3:389-400.
• [13]Irish Heart Foundation 2013. http://www.irishheart.ie/media/pub/informationleaflets/be_active_2011__final.pdf webcite
• [14]Tudor-Locke C, Craig CL, Brown WJ, Clemes SA, De Cocker K, Giles-Corti B, Hatano Y, Inoue S, Matsudo SM, Mutrie N, Oppert JM, Rowe DA, Schmidt MD, Schofield GM, Spence JC, Teixeira PJ, Tully MA, Blair SN: How many steps/day are enough? For adults. Int J Behav Nutr Phys Act 2011, 8:79. BioMed Central Full Text
• [15]Boulos MN, Wheeler S, Tavares C, Jones R: How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online 2011, 10:24. BioMed Central Full Text
• [16]Rabin C, Bock B: Desired features of smartphone applications promoting physical activity. Telemed and E-Health 2011, 17:801-803.
• [17]Corusen LLC 2013. http://www.accupedo.com/ webcite
• [18]Health Service Executive Ireland 2010. http://www.hse.ie/eng/services/Find_a_Service/entitlements/ webcite