Top

Gepubliceerd in:

25-10-2016

Technology-based interventions for weight management: current randomized controlled trial evidence and future directions

Auteurs: Andrea T. Kozak, Joanna Buscemi, Misty A. W. Hawkins, Monica L. Wang, Jessica Y. Breland, Kathryn M. Ross, Anupama Kommu

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 1/2017

Abstract

Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management.

vorige artikel Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential

volgende artikel Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination

Adamson, A. J., & Baranowski, T. (2014). Developing technological solutions for dietary assessment in children and young people. Journal of Human Nutrition & Dietetics, 27, 1–4. doi:10.1111/jhn.12206 CrossRef

Allen, J. K., Stephens, J., Dennison Himmelfarb, C. R., Stewart, K. J., & Hauck, S. (2013). Randomized controlled pilot study testing use of smartphone technology for obesity treatment. Journal of Obesity, 2013, 1–7. doi:10.1155/2013/151597 CrossRef

Amft, O., & Troster, G. (2008). Recognition of dietary activity events using on-body sensors. Artificial Intelligence in Medicine, 42, 121–136. doi:10.1016/j.artmed.2007.11.007 CrossRefPubMed

Archer, E., Groessl, E. J., Sui, X., McClain, A. C., Wilcox, S., Hand, G. A., et al. (2012). An economic analysis of traditional and technology-based approaches to weight loss. American Journal of Preventive Medicine, 43, 176–182. doi:10.1016/j.amepre.2012.04.018 CrossRefPubMed

Bassett, D. R., Jr., & John, D. (2013). Use of pedometers and accelerometers in clinical populations: Validity and reliability issues. Physical Therapy Reviews, 15, 135–142. doi:10.1179/1743288X10Y.0000000004 CrossRef

Bennett, G. G., Steinberg, D., Stoute, C., Lanpher, M., Lane, I., Askew, S., et al. (2014). Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: A systematic review. Obesity Reviews, 15, 146–158. doi:10.1111/obr.12218 CrossRefPubMed

Berkman, E. T., Giuliani, N. R., & Pruitt, A. K. (2014). Comparison of text messaging and paper-and-pencil for ecological momentary assessment of food craving and intake. Appetite, 81, 131–137. doi:10.1016/j.appet.2014.06.010 CrossRefPubMed

Burhansstipanov, L., & Schumacher, S. C. S. A. (2005). Lessons learned from community-based participatory research in Indian country. Cancer Control, 12, 70.PubMedPubMedCentral

Burke, L. E., Ma, J., Azar, K. M., Bennett, G. G., Peterson, E. D., Zheng, Y., et al. (2015). Current science on consumer use of mobile health for cardiovascular disease prevention a scientific statement from the American Heart Association. Circulation, 132, 1157–1213. doi:10.1161/CIR.0000000000000232 CrossRefPubMed

Burke, L., Styn, M. A., Sereika, S. M., Conroy, M. B., Ye, L., Glanz, K., et al. (2012). Using mhealth technology to enhance self-monitoring for weight loss: A randomized trial. American Journal of Preventive Medicine, 43, 20–26. doi:10.1016/j.amepre.2012.03.016 CrossRefPubMedPubMedCentral

Burke, L., Wang, J., & Sevick, M. A. (2011). Self-monitoring in weight loss: A systematic review of the literature. Journal of the American Dietetic Association, 111, 92–102. doi:10.1016/j.jada.2010.10.008 CrossRefPubMedPubMedCentral

Butryn, M. L., Webb, V., & Wadden, T. A. (2011). Behavioral treatment of obesity. Psychiatric Clinics of North America, 34, 841–859. doi:10.1016/j.psc.2011.08.006 CrossRefPubMedPubMedCentral

Cadmus-Bertram, L., Wang, J. B., Patterson, R. E., Newman, V. A., Parker, B. A., & Pierce, J. P. (2013). Web-based self-monitoring for weight loss among overweight/obese women at increased risk for breast cancer: The help pilot study. Psycho-Oncology, 22, 1821–1828. doi:10.1002/pon.3219 CrossRefPubMed

Cai, F., Yi, C., Liu, S., Wang, Y., Liu, L., Liu, X., et al. (2016). Ultrasensitive, passive and wearable sensors for monitoring human muscle motion and physiological signals. Biosensors & Bioelectronics, 77, 907–913. doi:10.1016/j.bios.2015.10.062 CrossRef

Cain, K. L., Sallis, J. F., Conway, T. L., Van Dyck, D., & Calhoon, L. (2013). Using accelerometers in youth physical activity studies: A review of methods. Journal of Physical Activity & Health, 10, 437–450.CrossRef

Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial. Journal of Medical Internet Research, 15, e32. doi:10.2196/jmir.2283 CrossRefPubMedPubMedCentral

Castelnuovo, G., Manzoni, G. M., Pietrabissa, G., Corti, S., Giusti, E. M., Molinari, E., et al. (2014). Obesity and outpatient rehabilitation using mobile technologies: The potential mhealth approach. Frontiers in Psychology, 5, 1–7. doi:10.3389/fpsyg.2014.00559 CrossRef

Cavoukian, A., & Jonas, J. (2012). Privacy by design in the age of big data. Information and Privacy Commissioner of Ontario, Canada. Retrieved December 20, 2015 from https://www.ipc.on.ca/images/Resources/pbd-big_data.pdf

Centers for Medicare and Medicaid Services. (2011). Final coverage decision memorandum for intensive behavioral therapy for obesity. Retrieved January 2, 2016 from https://www.cms.gov/medicare-coverage-database/details/nca-decision-memo.aspx?&NcaName=Intensive%20Behavioral%20Therapy%20for%20Obesity&bc=ACAAAAAAIAAA&NCAId=253

Coons, M. J., Demott, A., Buscemi, J., Duncan, J. M., Pellegrini, C. A., Steglitz, J., et al. (2012). Technology interventions to curb obesity: A systematic review of the current literature. Current Cardiovascular Risk Reports, 6, 120–134. doi:10.1007/s12170-012-0222-8 CrossRefPubMedPubMedCentral

Coons, S. J., Eremenco, S., Lundy, J. J., O’Donohoe, P., O’Gorman, H., & Malizia, W. (2015). Capturing patient-reported outcome (PRO) data electronically: The past, present, and promise of ePRO measurement in clinical trials. Patient, 8, 301–309. doi:10.1007/s40271-014-0090-z CrossRefPubMed

Crane, M. M., Lutes, L. D., Ward, D. S., Bowling, J. M., & Tate, D. F. (2015). A randomized trial testing the efficacy of a novel approach to weight loss among men with overweight and obesity. Obesity, 23, 2398–2405. doi:10.1002/oby.21265 CrossRefPubMedPubMedCentral

Dennison, L., Morrison, L., Lloyd, S., Phillips, D., Stuart, B., Williams, S., et al. (2014). Does brief telephone support improve engagement with a web-based weight management intervention? Randomized controlled trial. Journal of Medical Internet Research, 16, e95. doi:10.2196/jmir.3199 CrossRefPubMedPubMedCentral

Donaldson, E., Fallows, S., & Morris, M. (2014). A text message based weight management intervention for overweight adults. Journal of Human Nutrition & Dietetics, 27, 90–97. doi:10.1111/jhn.12096 CrossRef

Duncan, J. M., Janke, E. A., Kozak, A. T., Roehrig, M., Russell, S. W., McFadden, H. G., et al. (2011). PDA+: A personal digital assistant for obesity treatment-an RCT testing the use of technology to enhance weight loss treatment for veterans. BMC Public Health, 11, 223. doi:10.1186/1471-2458-11-223 CrossRefPubMedPubMedCentral

Ejiogu, N., Norbeck, J. H., Mason, M. A., Cromwell, B. C., Zonderman, A. B., & Evans, M. K. (2011). Recruitment and retention strategies for minority or poor clinical research participants: Lessons from the healthy aging in neighborhoods of diversity across the life span study. The Gerontologist, 51, S33–S45. doi:10.1093/geront/gnr027 CrossRefPubMedPubMedCentral

Ellis, L. A., Collin, P., Hurley, P. J., Davenport, T. A., Burns, J. M., & Hickie, I. B. (2013). Young men’s attitudes and behaviour in relation to mental health and technology: Implications for the development of online mental health services. BMC Psychiatry, 13, 119. doi:10.1186/1471-244X-13-119 CrossRefPubMedPubMedCentral

Evans-Campbell, T. (2008). Historical trauma in American Indian/Native Alaska communities a multilevel framework for exploring impacts on individuals, families, and communities. Journal of Interpersonal Violence, 23, 316–338. doi:10.1177/0886260507312290 CrossRefPubMed

Faseru, B., Cox, L. S., Bronars, C. A., Opole, I., Reed, G. A., Mayo, M. S., et al. (2010). Design, recruitment, and retention of African-American smokers in a pharmacokinetic study. BMC Medical Research Methodology, 10, 6. doi:10.1186/1471-2288-10-6 CrossRefPubMedPubMedCentral

Fildes, A., Charlton, J., Rudisill, C., Littlejohns, P., Prevost, A. T., & Gulliford, M. C. (2015). Probability of an obese person attaining normal body weight: Cohort study using electronic health records. American Journal of Public Health, 105, e54–e59. doi:10.2105/AJPH.2015.302773 CrossRefPubMedPubMedCentral

Fukuoka, Y., Gay, C. L., Joiner, K. L., & Vittinghoff, E. (2015). A novel diabetes prevention intervention using a mobile app: A randomized controlled trial with overweight adults at risk. American Journal of Preventive Medicine, 49, 223–237. doi:10.1016/j.amepre.2015.01.003 CrossRefPubMedPubMedCentral

Gabriele, J. M., Carpenter, B. D., Tate, D. F., & Fisher, E. B. (2011). Directive and nondirective e-coach support for weight loss in overweight adults. Annals of Behavioral Medicine, 41, 252–263. doi:10.1007/s12160-010-9240-2 CrossRefPubMedPubMedCentral

Gold, B. C., Burke, S., Pintauro, S., Buzzell, P., & Harvey-Berino, J. (2007). Weight loss on the web: A pilot study comparing a structured behavioral intervention to a commercial program. Obesity, 15, 155. doi:10.1038/oby.2007.520 CrossRefPubMed

Graffigna, G., Barello, S., Libreri, C., & Bosio, C. A. (2014). How to engage type-2 diabetic patients in their own health management: Implications for clinical practice. BMC Public Health, 14, 648–659. doi:10.1186/1471-2458-14-648 CrossRefPubMedPubMedCentral

Gudenkauf, L. M., Antoni, M. H., Stagl, J. M., Lechner, S. C., Jutagir, D. R., Bouchard, L. C., et al. (2015). Brief cognitive–behavioral and relaxation training interventions for breast cancer: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 83, 677–688. doi:10.1037/ccp0000020 CrossRefPubMedPubMedCentral

Gussenhoven, A., van Wier, M., Bosmans, J., Dekkers, J., & van Mechelen, W. (2013). Cost-effectiveness of a distance lifestyle counselling programme among overweight employees from a company perspective, ALIFE@ work: A randomized controlled trial. Work, 46, 337–346. doi:10.3233/WOR-121555 PubMed

Harris, J., Felix, L., Miners, A., Murray, E., Michie, S., Ferguson, E., et al. (2011). Adaptive e-learning to improve dietary behaviour: A systematic review and cost-effectiveness analysis. Health Technology Assessment. doi:10.3310/hta15370

Hartlieb, K. B., Jacques-Tiura, A. J., Naar-King, S., Ellis, D. A., Jen, K. C., & Marshall, S. (2015). Recruitment strategies and the retention of obese urban racial/ethnic minority adolescents in clinical trials: the FIT families project, Michigan 2010–2014. Preventing Chronic Disease, 12, 1–10. doi:10.5888/pcd12.140409 CrossRef

Herring, S. J., Cruice, J. F., Bennett, G. G., Davey, A., & Foster, G. D. (2014). Using technology to promote postpartum weight loss in urban, low-income mothers: A pilot randomized controlled trial. Journal of Nutrition Education and Behavior, 46, 610–615. doi:10.1016/j.jneb.2014.06.002 CrossRefPubMedPubMedCentral

Illner, A., Freisling, H., Boeing, H., Huybrechts, I., Crispim, S., & Slimani, N. (2012). Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. International Journal of Epidemiology, 41, 1187–1203. doi:10.1093/ije/dys105 CrossRefPubMed

Jia, W., Chen, H.-C., Yue, Y., Li, Z., Fernstrom, J., Bai, Y., et al. (2014). Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera. Public Health Nutrition, 17, 1671–1681. doi:10.1017/S1368980013003236 CrossRefPubMed

Johansson, G., Wikman, Å., Åhrén, A.-M., Hallmans, G., & Johansson, I. (2001). Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutrition, 4, 919–927. doi:10.1079/PHN2001124 CrossRefPubMed

Johnson, S. M., & White, G. (1971). Self-observation as an agent of behavioral change. Behavior Therapy, 2, 488–497. doi:10.1016/S0005-7894(71)80095-3 CrossRef

Johnston, J. D., Massey, A. P., & Devaneaux, C. A. (2012). Innovation in weight loss programs: A 3-dimensional virtual-world approach. Journal of Medical Internet Research, 14, e120. doi:10.2196/jmir.2254 CrossRefPubMedPubMedCentral

Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J., et al. (2013). Comparing first and second generation digital natives’ internet use, internet anxiety, and internet identification. Cyberpsychology, Behavior, and Social Networking, 16, 549–552. doi:10.1089/cyber.2012.0526 CrossRef

Kaplan, J. S., & Tolin, D. F. (2011). Exposure therapy for anxiety disorders theoretical mechanisms of exposure and treatment strategies. Psychiatric Times, 28, 33–37.

King, A. C., Glanz, K., & Patrick, K. (2015). Technologies to measure and modify physical activity and eating environments. American Journal of Preventive Medicine, 48, 630–638. doi:10.1016/j.amepre.2014.10.005 CrossRefPubMed

Klasnja, P., Hekler, E. B., Saul, S., Boruvka, A., Almiral, D., Tewari, A., et al. (2015). Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychology, 34, 1220–1228. doi:10.1037/hea0000305 CrossRefPubMedCentral

Kong, A., Tussing-Humphreys, L., Odoms-Young, A., Stolley, M., & Fitzgibbon, M. (2014). Systematic review of behavioural interventions with culturally adapted strategies to improve diet and weight outcomes in african american women. Obesity Reviews, 15, 62–92. doi:10.1111/obr.12203 CrossRefPubMedPubMedCentral

Kshetri, N. (2014). Big data’s impact on privacy, security and consumer welfare. Telecommunications Policy, 38, 1134–1145. doi:10.1016/j.telpol.2014.10.002 CrossRef

Kumar, S., Al’Absi, M., Beck, J., Ertin, E., & Scott, M. (2014). Behavioral monitoring and assessment via mobile sensing technologies. In L. Marsch & J. Dallery (Eds.), Behavioral healthcare and technology: Using science-based innovations to transform practice (pp. 27–39). New York, NY: Oxford University Press.CrossRef

Leahey, T. M., Subak, L. L., Fava, J., Schembri, M., Thomas, G., Xu, X., et al. (2015). Benefits of adding small financial incentives or optional group meetings to a web-based statewide obesity initiative. Obesity, 23, 70–76. doi:10.1002/oby.20937 CrossRefPubMed

Leahey, T. M., Thomas, G., Fava, J. L., Subak, L. L., Schembri, M., Krupel, K., et al. (2014). Adding evidence-based behavioral weight loss strategies to a statewide wellness campaign: A randomized clinical trial. American Journal of Public Health, 104, 1300–1306. doi:10.2105/AJPH.2014.301870 CrossRefPubMedPubMedCentral

Liao, P., Klasnja, P., Tewari, A., & Murphy, S. A. (2016). Sample size calculations for micro-randomized trials in mHealth. Statistics in Medicine, 35, 1944–1971. doi:10.1002/sim.6847 CrossRefPubMed

Lin, P. H., Wang, Y., Levine, E., Askew, S., Lin, S., Chang, C., et al. (2014). A text messaging-assisted randomized lifestyle weight loss clinical trial among overweight adults in Beijing. Obesity, 22, E29–E37. doi:10.1002/oby.20686 CrossRefPubMed

Ljótsson, B., Hesser, H., Andersson, E., Lackner, J. M., El Alaoui, S., Falk, L., et al. (2014). Provoking symptoms to relieve symptoms: A randomized controlled dismantling study of exposure therapy in irritable bowel syndrome. Behaviour Research and Therapy, 55, 27–39. doi:10.1016/j.brat.2014.01.007 CrossRefPubMed

Madden, M., Fox, S., Smith, A., & Vitak, J. (2007). Digital footprints. Retrieved December 20, 2015 from http://www.pewinternet.org/2007/12/16/digital-footprints/

Manzoni, G. M., Pagnini, F., Corti, S., Molinari, E., & Castelnuovo, G. (2011). Internet-based behavioral interventions for obesity: An updated systematic review. Clinical Practice and Epidemiology in Mental Health, 7, 19–28. doi:10.1186/1471-244X-13-207 CrossRefPubMedPubMedCentral

Martin, C. K., Nicklas, T., Gunturk, B., Correa, J. B., Allen, H., & Champagne, C. (2014). Measuring food intake with digital photography. Journal of Human Nutrition & Dietetics, 27, 72–81. doi:10.1111/jhn.12014 CrossRef

Napolitano, M. A., Hayes, S., Bennett, G. G., Ives, A. K., & Foster, G. D. (2013). Using facebook and text messaging to deliver a weight loss program to college students. Obesity, 21, 25–31. doi:10.1002/oby.20232 CrossRefPubMed

Neve, M., Morgan, P. J., Jones, P., & Collins, C. (2010). Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: A systematic review with meta-analysis. Obesity Reviews, 11, 306–321. doi:10.1111/j.1467-789X.2009.00646.x CrossRefPubMed

Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014). Prevalence of childhood and adult obesity in the united states, 2011–2012. Journal of the American Medical Association, 311, 806–814. doi:10.1001/jama.2014.732 CrossRefPubMedPubMedCentral

Otado, J., Kwagyan, J., Edwards, D., Ukaegbu, A., Rockcliffe, F., & Osafo, N. (2015). Culturally competent strategies for recruitment and retention of African American populations into clinical trials. Clinical and Translational Science, 8, 460–466. doi:10.1111/cts.12285 CrossRefPubMedPubMedCentral

Pagoto, S. L., Schneider, K. L., Oleski, J. L., Luciani, J. M., Bodenlos, J. S., & Whited, M. C. (2012). Male inclusion in randomized controlled trials of lifestyle weight loss interventions. Obesity, 20, 1234–1239. doi:10.1038/oby.2011.140 CrossRefPubMed

Patrick, K., Calfas, K. J., Norman, G. J., Rosenberg, D., Zabinski, M. F., Sallis, J. F., et al. (2011). Outcomes of a 12-month web-based intervention for overweight and obese men. Annals of Behavioral Medicine, 42, 391–401. doi:10.1007/s12160-011-9296-7 CrossRefPubMed

Pellegrini, C. A., Hoffman, S. A., Collins, L. M., & Spring, B. (2014). Optimization of remotely delivered intensive lifestyle treatment for obesity using the multiphase optimization strategy: Opt-in study protocol. Contemporary Clinical Trials, 38, 251–259. doi:10.1016/j.cct.2014.05.007 CrossRefPubMedPubMedCentral

Ramo, D. E., & Prochaska, J. J. (2012). Broad reach and targeted recruitment using facebook for an online survey of young adult substance use. Journal of Medical Internet Research, 14, 1–10. doi:10.2196/jmir.1878 CrossRef

Rao, G., Burke, L. E., Spring, B. J., Ewing, L. J., Turk, M., Lichtenstein, A. H., et al. (2011). New and emerging weight management strategies for busy ambulatory settings a scientific statement from the American heart association endorsed by the society of behavioral medicine. Circulation, 124, 1182–1203. doi:10.1161/CIR.0b013e31822b9543 CrossRefPubMed

Reed, V. A., Schifferdecker, K. E., Rezaee, M. E., O’Connor, S., & Larson, R. J. (2012). The effect of computers for weight loss: A systematic review and meta-analysis of randomized trials. Journal of General Internal Medicine, 27, 99–108. doi:10.1007/s11606-011-1803-9 CrossRefPubMed

Resick, P. A., Galovski, T. E., Uhlmansiek, M. O. B., Scher, C. D., Clum, G. A., & Young-Xu, Y. (2008). A randomized clinical trial to dismantle components of cognitive processing therapy for posttraumatic stress disorder in female victims of interpersonal violence. Journal of Consulting and Clinical Psychology, 76, 243–258. doi:10.1037/0022-006X.76.2.243 CrossRefPubMedPubMedCentral

Schoeller, D. A. (1995). Limitations in the assessment of dietary energy intake by self-report. Metabolism, 44, 18–22. doi:10.1016/0026-0495(95)90204-X CrossRefPubMed

Shapiro, J. R., Koro, T., Doran, N., Thompson, S., Sallis, J. F., Calfas, K., et al. (2012). Text4diet: A randomized controlled study using text messaging for weight loss behaviors. Preventive Medicine, 55, 412–417. doi:10.1016/j.ypmed.2012.08.011 CrossRefPubMed

Sharp, D. B., & Allman-Farinelli, M. (2014). Feasibility and validity of mobile phones to assess dietary intake. Nutrition, 30, 1257–1266. doi:10.1016/j.nut.2014.02.020 CrossRefPubMed

Shaw, R. J., Bosworth, H. B., Silva, S. S., Lipkus, I. M., Davis, L. L., Ronald, S. S., et al. (2013). Mobile health messages help sustain recent weight loss. The American Journal of Medicine, 126, 1002–1009. doi:10.1016/j.amjmed.2013.07.001 CrossRefPubMed

Shuger, S. L., Barry, V. W., Sui, X., McClain, A., Hand, G. A., Wilcox, S., et al. (2011). Electronic feedback in a diet-and physical activity-based lifestyle intervention for weight loss: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 8, 41–48. doi:10.1186/1479-5868-8-41 CrossRefPubMedPubMedCentral

Siopis, G., Chey, T., & Allman-Farinelli, M. (2015). A systematic review and meta-analysis of interventions for weight management using text messaging. Journal of Human Nutrition & Dietetics, 28, 1–15. doi:10.1111/jhn.12207 CrossRef

Spring, B., Duncan, J. M., Janke, E. A., Kozak, A. T., McFadden, H. G., DeMott, A., et al. (2013). Integrating technology into standard weight loss treatment: A randomized controlled trial. Journal of the American Medical Association Internal Medicine, 173, 105–111. doi:10.1001/jamainternmed.2013.1221 PubMedPubMedCentral

Statistica. (2015). Number of apps available in leading app stores as of July 2015. Retrieved May 20, 2015 from http://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/

Steinberg, D. M., Levine, E. L., Askew, S., Foley, P., & Bennett, G. G. (2013). Daily text messaging for weight control among racial and ethnic minority women: Randomized controlled pilot study. Journal of Medical Internet Research, 15, e244. doi:10.2196/jmir.2844 CrossRefPubMedPubMedCentral

Stephens, J., & Allen, J. (2013). Mobile phone interventions to increase physical activity and reduce weight: A systematic review. The Journal of Cardiovascular Nursing, 28, 320–329. doi:10.1097/JCN.0b013e318250a3e7 CrossRefPubMedPubMedCentral

Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2003). Patient compliance with paper and electronic diaries. Controlled Clinical Trials, 24, 182–199. doi:10.1016/S0197-2456(02)00320-3 CrossRefPubMed

Tang, J., Abraham, C., Greaves, C., & Yates, T. (2014). Self-directed interventions to promote weight loss: A systematic review of reviews. Journal of Medical Internet Research, 16, e58. doi:10.2196/jmir.2857 CrossRefPubMedPubMedCentral

Tate, D. F., Jackvony, E. H., & Wing, R. R. (2006). A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an internet weight loss program. Archives of Internal Medicine, 166, 1620–1625. doi:10.1001/archinte.166.15.1620 CrossRefPubMed

Thomas, J. G., Leahey, T. M., & Wing, R. R. (2015). An automated internet behavioral weight-loss program by physician referral: A randomized controlled trial. Diabetes Care, 38, 9–15. doi:10.2337/dc14-1474 CrossRefPubMed

Thorndike, A. N., Sonnenberg, L., Healey, E., Myint-U, K., Kvedar, J. C., & Regan, S. (2012). Prevention of weight gain following a worksite nutrition and exercise program: A randomized controlled trial. American Journal of Preventive Medicine, 43, 27–33. doi:10.1016/j.amepre.2012.02.029 CrossRefPubMedPubMedCentral

Trude, A. C., Kharmats, A., Jock, B., Liu, D., Lee, K., Martins, P. A., et al. (2015). Patterns of food consumption are associated with obesity, self-reported diabetes and cardiovascular disease in five american indian communities. Ecology of Food and Nutrition, 54, 437–454. doi:10.1080/03670244.2014.922070 CrossRefPubMed

Turk, M. W., Elci, O. U., Wang, J., Sereika, S. M., Ewing, L. J., Acharya, S. D., et al. (2013). Self-monitoring as a mediator of weight loss in the smart randomized clinical trial. International Journal of Behavioral Medicine, 20, 556–561. doi:10.1007/s12529-012-9259-9 CrossRefPubMed

Turner-McGrievy, G., & Tate, D. (2011). Tweets, apps, and pods: Results of the 6-month mobile pounds off digitally (mobile pod) randomized weight-loss intervention among adults. Journal of Medical Internet Research, 13, e120. doi:10.2196/jmir.1841 CrossRefPubMedPubMedCentral

U.S. Preventive Services Task Force. (2012). Obesity in adults: Screening and management. Retrieved January 2, 2016 from http://www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatementFinal/obesity-in-adults-screening-and-management

Walker, R. E., Keane, C. R., & Burke, J. G. (2010). Disparities and access to healthy food in the united states: A review of food deserts literature. Health & Place, 16, 876–884. doi:10.1016/j.healthplace.2010.04.013 CrossRef

Wallerstein, N. B., & Duran, B. (2006). Using community-based participatory research to address health disparities. Health Promotion Practice, 7, 312–323. doi:10.1177/1524839906289376 CrossRefPubMed

Webber, K. H., & Rose, S. A. (2013). A pilot internet-based behavioral weight loss intervention with or without commercially available portion-controlled foods. Obesity, 21, E354–E359. doi:10.1002/oby.20331 PubMed

Wharton, C. M., Johnston, C. S., Cunningham, B. K., & Sterner, D. (2014). Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial. Journal of Nutrition Education and Behavior, 46, 440–444. doi:10.1016/j.jneb.2014.04.291 CrossRefPubMed

Wieland, L. S., Falzon, L., Sciamanna, C. N., Trudeau, K. J., Brodney, S., Schwartz, J. E., et al. (2012). Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. Cochrane Database System Review, 8(8), CD007675. doi:10.1002/14651858.CD007675

Yackobovitch-Gavan, M., Steinberg, D., Endevelt, R., & Benyamini, Y. (2015). Factors associated with dropout in a group weight-loss programme: A longitudinal investigation. Journal of Human Nutrition & Dietetics, 28, 33–40. doi:10.1111/jhn.12220 CrossRef

Yuan, P., Bare, M. G., Johnson, M. O., & Saberi, P. (2014). Using online social media for recruitment of human immunodeficiency virus-positive participants: A cross-sectional survey. Journal of Medical Internet Research, 16, 1–9. doi:10.2196/jmir.3229 CrossRef

Titel: Technology-based interventions for weight management: current randomized controlled trial evidence and future directions
Auteurs: Andrea T. Kozak
Joanna Buscemi
Misty A. W. Hawkins
Monica L. Wang
Jessica Y. Breland
Kathryn M. Ross
Anupama Kommu
Publicatiedatum: 25-10-2016
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 1/2017
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-016-9805-z

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 1/2017

Integration of behavioral health and primary care: current knowledge and future directions

Behavior change interventions: the potential of ontologies for advancing science and practice

Motivating future directions of behavioral medicine

New directions for diabetes prevention and management in behavioral medicine

Increasing the public health impact of evidence-based interventions in behavioral medicine: new approaches and future directions

Advancing our understanding of religion and spirituality in the context of behavioral medicine