Title |
Innovations in the Use of Interactive Technology to Support Weight Management
|
---|---|
Published in |
Current Obesity Reports, September 2015
|
DOI | 10.1007/s13679-015-0183-6 |
Pubmed ID | |
Authors |
D. Spruijt-Metz, C. K. F. Wen, G. O’Reilly, M. Li, S Lee, B. A. Emken, U. Mitra, M. Annavaram, G. Ragusa, S. Narayanan |
Abstract |
New and emerging mobile technologies are providing unprecedented possibilities for understanding and intervening on obesity-related behaviors in real time. However, the mobile health (mHealth) field has yet to catch up with the fast-paced development of technology. Current mHealth efforts in weight management still tend to focus mainly on short message systems (SMS) interventions, rather than taking advantage of real-time sensing to develop just-in-time adaptive interventions (JITAIs). This paper will give an overview of the current technology landscape for sensing and intervening on three behaviors that are central to weight management: diet, physical activity, and sleep. Then five studies that really dig into the possibilities that these new technologies afford will be showcased. We conclude with a discussion of hurdles that mHealth obesity research has yet to overcome and a future-facing discussion. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 43% |
Denmark | 1 | 14% |
United States | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 43% |
Members of the public | 3 | 43% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Unknown | 142 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 17% |
Student > Master | 23 | 16% |
Researcher | 16 | 11% |
Student > Doctoral Student | 12 | 8% |
Student > Bachelor | 12 | 8% |
Other | 24 | 17% |
Unknown | 32 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 19 | 13% |
Computer Science | 17 | 12% |
Nursing and Health Professions | 14 | 10% |
Medicine and Dentistry | 14 | 10% |
Engineering | 7 | 5% |
Other | 29 | 20% |
Unknown | 43 | 30% |