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Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends

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 sust...

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Detalles Bibliográficos
Autores principales: Tufano, James T, Karras, Bryant T
Formato: Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550687/
https://www.ncbi.nlm.nih.gov/pubmed/16403722
http://dx.doi.org/10.2196/jmir.7.5.e58
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author Tufano, James T
Karras, Bryant T
author_facet Tufano, James T
Karras, Bryant T
author_sort Tufano, James T
collection PubMed
description 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.
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spelling pubmed-15506872006-10-13 Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends Tufano, James T Karras, Bryant T J Med Internet Res Viewpoint 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. Gunther Eysenbach 2005-12-20 /pmc/articles/PMC1550687/ /pubmed/16403722 http://dx.doi.org/10.2196/jmir.7.5.e58 Text en © James T Tufano, Bryant T Karras. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.12.2005. Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, including full bibliographic details and the URL (see "please cite as" above), and this statement is included.
spellingShingle Viewpoint
Tufano, James T
Karras, Bryant T
Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
title Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
title_full Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
title_fullStr Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
title_full_unstemmed Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
title_short Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
title_sort mobile ehealth interventions for obesity: a timely opportunity to leverage convergence trends
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550687/
https://www.ncbi.nlm.nih.gov/pubmed/16403722
http://dx.doi.org/10.2196/jmir.7.5.e58
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