mHealth approaches to child obesity prevention: successes, unique challenges, and next directions

• Published in: Translational behavioral medicine 2013-12, Vol.3 (4), p.406-415
• Main Authors: Tate, Eleanor B, Spruijt-Metz, Donna, O’Reilly, Gillian, Jordan-Marsh, Maryalice, Gotsis, Marientina, Pentz, Mary Ann, Dunton, Genevieve F
• Format: Article
• Language: English
• Subjects: Cross Cultural Psychology; Family Medicine; General Practice; Health Promotion and Disease Prevention; Health Psychology; Medicine; Medicine & Public Health; Practice and Public Health Policies; Public Health
• ISSN: 1869-6716; 1613-9860
• DOI: 10.1007/s13142-013-0222-3

Childhood obesity continues to be a significant public health issue. mHealth systems offer state-of-the-art approaches to intervention design, delivery, and diffusion of treatment and prevention efforts. Benefits include cost effectiveness, potential for real-time data collection, feedback capability, minimized participant burden, relevance to multiple types of populations, and increased dissemination capability. However, these advantages are coupled with unique challenges. This commentary discusses challenges with using mHealth strategies for child obesity prevention, such as lack of scientific evidence base describing effectiveness of commercially available applications; relatively slower speed of technology development in academic research settings as compared with industry; data security, and patient privacy; potentially adverse consequences of increased sedentary screen time, and decreased focused attention due to technology use. Implications for researchers include development of more nuanced measures of screen time and other technology-related activities, and partnering with industry for developing healthier technologies. Implications for health practitioners include monitoring, assessing, and providing feedback to child obesity program designers about users' data transfer issues, perceived security and privacy, sedentary behavior, focused attention, and maintenance of behavior change. Implications for policy makers include regulation of claims and quality of apps (especially those aimed at children), supporting standardized data encryption and secure open architecture, and resources for research–industry partnerships that improve the look and feel of technology. Partnerships between academia and industry may promote solutions, as discussed in this commentary.