Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends

James T Tufano, Bryant T Karras, James T Tufano, Bryant T Karras

Abstract

Obesity is often cited as the most prevalent chronic health condition and highest priority public health problem in the United States. There is a limited but growing body of evidence suggesting that mobile eHealth behavioral interventions, if properly designed, may be effective in promoting and sustaining successful weight loss and weight maintenance behavior changes. This paper reviews the current literature on the successes and failures of public health, provider-administered, and self-managed behavioral health interventions for weight loss. The prevailing theories of health behavior change are discussed from the perspective of how this knowledge can serve as an evidence base to inform the design of mobile eHealth weight loss interventions. Tailored informational interventions, which, in recent years, have proven to be the most effective form of conventional health behavior intervention for weight loss, are discussed. Lessons learned from the success of conventional tailored informational interventions and the early successes of desktop computer-assisted self-help weight management interventions are presented, as are design principles suggested by Social Cognitive Theory and the Social Marketing Model. Relevant computing and communications technology convergence trends are also discussed. The recent trends in rapid advancement, convergence, and public adoption of Web-enabled cellular telephone and wireless personal digital assistant (PDA) devices provide timely opportunities to deliver the mass customization capabilities, reach, and interactivity required for the development, administration, and adoption of effective population-level eHealth tailored informational interventions for obesity.

Conflict of interest statement

None declared.

References

    1. World Health Organization, authors; International Obesity Task Force, authors. Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation on Obesity, June 1997. Geneva: World Health Organization; 1998.
    1. Revere D, Dunbar P J. Review of computer-generated outpatient health behavior interventions: clinical encounters "in absentia". J Am Med Inform Assoc. 2001;8(1):62–79.
    1. Smedley BD, Syme SL. Promoting Health: Intervention Strategies from Social and Behavioral Research. Washington, DC: National Academy Press; 2000.
    1. Mokdad AH, Bowman BA, Ford ES, Vinicor F, Marks JS, Koplan JP. The continuing epidemics of obesity and diabetes in the United States. JAMA. 2001;286(10):1195–1200. doi: 10.1001/jama.286.10.1195. .joc10856
    1. Serdula MK, Mokdad AH, Williamson DF, Galuska DA, Mendlein JM, Heath GW. Prevalence of attempting weight loss and strategies for controlling weight. JAMA. 1999;282(14):1353–1358. doi: 10.1001/jama.282.14.1353. .joc90559
    1. Galuska D A, Will J C, Serdula M K, Ford E S. Are health care professionals advising obese patients to lose weight? JAMA. 1999 Oct 27;282(16):1576–8. doi: 10.1001/jama.282.16.1576. .jbr90268
    1. Frank A. Futility and avoidance. Medical professionals in the treatment of obesity. JAMA. 1993 Apr 28;269(16):2132–3. doi: 10.1001/jama.269.16.2132.
    1. Harvey E L, Glenny A M, Kirk S F L, Summerbell C D. An updated systematic review of interventions to improve health professionals' management of obesity. Obes Rev. 2002 Feb;3(1):45–55. doi: 10.1046/j.1467-789X.2002.00053.x.
    1. Agency for Healthcare Research and Quality. [2005 Aug 21]. .
    1. Snyder LB, Hamilton MA. Public Health Communication: Evidence for Behavior Change. Mahwah, NJ: L. Erlbaum Associates; 2002. A meta-analysis of U.S. health campaign effects on behavior. pp. 357–383.
    1. Marcus B H, Owen N, Forsyth L H, Cavill N A, Fridinger F. Physical activity interventions using mass media, print media, and information technology. Am J Prev Med. 1998 Nov;15(4):362–78. doi: 10.1016/S0749-3797(98)00079-8.S0749379798000798
    1. Foerster SB, Hudes M. California Dietary Practices Survey: Focus on Fruits and Vegetables, Trends among Adults, 1989-1993, Topline Report. Sacramento, CA: California Department of Health Services and Public Health Foundation; 1994.
    1. Hillsdon M, Cavill N, Nanchahal K, Diamond A, White I R. National level promotion of physical activity: results from England's ACTIVE for LIFE campaign. J Epidemiol Community Health. 2001 Oct;55(10):755–761. doi: 10.1136/jech.55.10.755. .
    1. Kreps GL. Health Communication Research: A Guide to Developments and Directions. Westport, CT: Greenwood Press; 1998. The history and development of the field of health communication. pp. 1–15.
    1. Neuhauser L, Kreps G. Rethinking communication in the e-Health era. J Health Psychol. 2003;8(1):7–22. doi: 10.1177/1359105303008001426.
    1. Ryan Polly, Lauver Diane Ruth. The efficacy of tailored interventions. J Nurs Scholarsh. 2002;34(4):331–7. doi: 10.1111/j.1547-5069.2002.00331.x.
    1. Strecher Victor, Wang Catharine, Derry Holly, Wildenhaus Kevin, Johnson Christine. Tailored interventions for multiple risk behaviors. Health Educ Res. 2002 Oct;17(5):619–26. doi: 10.1093/her/17.5.619.
    1. Brug J, Campbell M, Van Assema P. The application and impact of computer-generated personalized nutrition education: a review of the literature. Patient Educ Couns. 1999 Feb;36(2):145–56. doi: 10.1016/S0738-3991(98)00131-1.S0738399198001311
    1. Prochaska J O, Diclemente C C. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983 Jun;51(3):390–5. doi: 10.1037//0022-006X.51.3.390.
    1. Glanz K, Lewis FM, Rimer BK. Health Behavior and Health Education: Theory, Research, and Practice. 2nd ed. San Francisco: Jossey-Bass; 1997.
    1. Emmons KM. Behavioral and social science contributions to the health of adults in the United States. In: Smedley BD, Syme SL, editors. Promoting Health: Intervention Strategies from Social and Behavioral Research. Washington, DC: National Academy Press; 2000. pp. 254–321.
    1. Stokals D. Promoting Human Wellness: New Frontiers for Research, Practice, and Policy. Berkeley: University of California Press; 2000. The social ecological paradigm of wellness promotion; pp. 21–37.
    1. Baranowski T. Health Behavior and Health Education: Theory, Research, and Practice. 2nd ed. San Francisco: Jossey-Bass; 1997. How individuals, environments, and health behavior interact: social cognitive theory; pp. 153–178.
    1. Guide to Community Preventive Services. [2005 Aug 21]. .
    1. Marcus A C, Heimendinger J, Wolfe P, Rimer B K, Morra M, Cox D, Lang P J, Stengle W, Van Herle M P, Wagner D, Fairclough D, Hamilton L. Increasing fruit and vegetable consumption among callers to the CIS: results from a randomized trial. Prev Med. 1998;27(5 Pt 2):S16–28. doi: 10.1006/pmed.1998.0405.S0091743598904054
    1. Bull F C, Holt C L, Kreuter M W, Clark E M, Scharff D. Understanding the effects of printed health education materials: which features lead to which outcomes? J Health Commun. 2001;6(3):265–279. doi: 10.1080/108107301752384442.
    1. O'neil P M. Assessing dietary intake in the management of obesity. Obes Res. 2001 Dec;9 Suppl 5(suppl 5):361S–366S. .
    1. Brug J, Glanz K, Van Assema P, Kok G, Van Breukelen G J. The impact of computer-tailored feedback and iterative feedback on fat, fruit, and vegetable intake. Health Educ Behav. 1998 Aug;25(4):517–531.
    1. Latner J D. Self-help in the long-term treatment of obesity. Obes Rev. 2001 May;2(2):87–97. doi: 10.1046/j.1467-789x.2001.00028.x.
    1. Kreps GL. The role of interactive technology in cancer communications interventions: targeting key audience members by tailoring messages. American Public Health Association Conference; November 1999; Boston, MA.
    1. Rimer B K, Halabi S, Sugg Skinner C, Kaplan E B, Crawford Y, Samsa G P, Strigo T S, Lipkus I M. The short-term impact of tailored mammography decision-making interventions. Patient Educ Couns. 2001 Jun;43(3):269–285.S0738399100001725
    1. Jenny Craig. [2005 Jul 29].
    1. Weight Watchers. [2005 Jul 29]. .
    1. Heshka Stanley, Anderson James W, Atkinson Richard L, Greenway Frank L, Hill James O, Phinney Stephen D, Kolotkin Ronette L, Miller-kovach Karen, Pi-sunyer F Xavier. Weight loss with self-help compared with a structured commercial program: a randomized trial. JAMA. 2003 Apr 9;289(14):1792–8. doi: 10.1001/jama.289.14.1792. .289/14/1792
    1. Gorman PN, Ash JS, Lavelle M, Lyman J, Delcambre L, Maier D. Bundles in the wild: managing information to solve problems and maintain situation awareness. Library Trends. 2000;49(2):266–289.
    1. Ash J S, Gorman P N, Hersh W R, Lavelle M, Poulsen S B. Perceptions of house officers who use physician order entry. Proc AMIA Symp. 1999:471–5. .D005723
    1. Von Thaden T. Social informatics and aviation technology. Bulletin of the American Society for Information Science. 2000;26(3):13–14. doi: 10.1002/bult.152.
    1. Fink F. Multi-purpose portable telephones with seamless mobility. Elektronik Praxis. 2004;21:32–36.
    1. Hacklin F, Raurich V, Marxt C. How incremental innovation becomes disruptive: the case of technology convergence. IEEE International Engineering Management Conference; Oct 18-21, 2004; Singapore.
    1. Rice RE, Katz JE. Comparing internet and mobile phone usage. Telecomm Policy. 2003;27(8-9):597–623. doi: 10.1016/S0308-5961(03)00068-5.
    1. Tseng MM, Jiao J. Handbook of Industrial Engineering, Technology and Operations Management. 3rd ed. New York: Wiley; 2001. Mass customization; p. 685.
    1. Tuckel P, O'Neill H. Ownership and Usage Patterns of Cell Phones: 2000-2004. Annual Meeting of the American Association for Public Opinion Research; May 13-16, 2004; Phoenix, Arizona.

Source: PubMed

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