| Title |
Technology-based interventions for weight management: current randomized controlled trial evidence and future directions
|
|---|---|
| Published in |
Journal of Behavioral Medicine, October 2016
|
| DOI | 10.1007/s10865-016-9805-z |
| Pubmed ID | |
| Authors |
Andrea T. Kozak, Joanna Buscemi, Misty A. W. Hawkins, Monica L. Wang, Jessica Y. Breland, Kathryn M. Ross, Anupama Kommu |
| 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 239 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 15% |
| Student > Ph. D. Student | 29 | 12% |
| Researcher | 24 | 10% |
| Student > Bachelor | 16 | 7% |
| Student > Doctoral Student | 15 | 6% |
| Other | 39 | 16% |
| Unknown | 80 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 13% |
| Nursing and Health Professions | 30 | 13% |
| Psychology | 29 | 12% |
| Computer Science | 15 | 6% |
| Social Sciences | 9 | 4% |
| Other | 36 | 15% |
| Unknown | 88 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2019.
All research outputs
#7,490,851
of 22,896,955 outputs
Outputs from Journal of Behavioral Medicine
#485
of 1,074 outputs
Outputs of similar age
#114,177
of 313,870 outputs
Outputs of similar age from Journal of Behavioral Medicine
#11
of 18 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.