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Narrative review of social media as a research tool for diet and weight loss
- Source :
- Computers in Human Behavior. 111:106426
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- This narrative review examined the following research questions: 1) What are the characteristics and outcomes of social media-based diet/weight loss studies to date? 2) What are the methodological characteristics of social media-based diet/weight loss studies? 3) What research strengths and limitations exist among social media-based diet/weight loss studies? We conducted a narrative review of studies related to diet, weight loss, and social media. Out of 37 included articles, most focused exclusively on Facebook (n = 13, 35%) or Twitter (n = 12, 32%). Of 20 studies (54%) analyzing social media content, most analyzed textual content (n = 13, 65%). About half of studies (n = 20, 54%) had no guiding theoretical framework, and about one-quarter used Social Cognitive Theory (SCT) (n = 10, 27%). Studies designs used were non-experimental (n = 15, 41%), experimental (n = 12, 32%), qualitative (n = 8, 22%), and mixed methods (n = 2, 5%). Intervention research thus far has consisted mostly of inadequately controlled and powered pilot studies. More rigorous randomized controlled trials should be conducted that build on data gathered from pilot research. Further research on how exposure to/interaction with diet/weight loss social media translates to individual behavior change will aid in addressing the US's obesity epidemic.
- Subjects :
- 05 social sciences
Behavior change
050301 education
050801 communication & media studies
medicine.disease
Obesity
law.invention
Human-Computer Interaction
0508 media and communications
Arts and Humanities (miscellaneous)
Randomized controlled trial
Weight loss
law
medicine
Narrative review
Social media
Research questions
medicine.symptom
Psychology
0503 education
General Psychology
Social cognitive theory
Clinical psychology
Subjects
Details
- ISSN :
- 07475632
- Volume :
- 111
- Database :
- OpenAIRE
- Journal :
- Computers in Human Behavior
- Accession number :
- edsair.doi...........ce8ae9da9b0cf4579894dee8068811f8
- Full Text :
- https://doi.org/10.1016/j.chb.2020.106426