Tweeting it off: characteristics of adults who tweet about a weight loss attempt
- PMID: 24928175
- PMCID: PMC4215051
- DOI: 10.1136/amiajnl-2014-002652
Tweeting it off: characteristics of adults who tweet about a weight loss attempt
Abstract
Objective: The purpose of this study was to describe adults who use Twitter during a weight loss attempt and to compare the positive and negative social influences they experience from their offline friends, online friends, and family members.
Materials and methods: Participants (N=100, 80% female, mean age=37.65, SD=8.42) were recruited from Twitter. They completed a brief survey about their experiences discussing their weight loss attempt with their online and offline friends and provided responses to open-ended questions on the benefits and drawbacks of discussing weight on Twitter, Facebook, and weight-specific social networks.
Results: Participants rated their connections on Twitter and weight loss-specific social networks to be significantly greater sources of positive social influence for their weight loss (F(3)=3.47; p<0.001) and significantly lesser sources of negative social influence (F(3)=40.39 and F(3)=33.68 (both p<0.001)) than their offline friends, family, and Facebook friends. Greater positive social influence from Twitter and Facebook friends was associated with greater weight loss in participants' most recent weight loss attempt (r=0.30, r=0.32; p<0.01). The most commonly reported benefits of tweeting about weight loss include social support, information, and accountability. The most common drawbacks reported are that interactions were too brief and lacked personal connection.
Discussion: People who discuss their weight loss on Twitter report more social support and less negativity from their Twitter friends than their Facebook friends and in-person relationships.
Conclusions: Online social networks should be explored as a tool for connecting patients who lack weight loss social support from their in-person relationships.
Keywords: Twitter; obesity; social media; social networks; weight loss.
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Similar articles
-
Development of a Twitter-based intervention for smoking cessation that encourages high-quality social media interactions via automessages.J Med Internet Res. 2015 Feb 23;17(2):e50. doi: 10.2196/jmir.3772. J Med Internet Res. 2015. PMID: 25707037 Free PMC article.
-
Interest in a Twitter-delivered weight loss program among women of childbearing age.Transl Behav Med. 2016 Jun;6(2):277-84. doi: 10.1007/s13142-015-0382-4. Transl Behav Med. 2016. PMID: 27356998 Free PMC article.
-
Evaluating College Students' Displayed Alcohol References on Facebook and Twitter.J Adolesc Health. 2016 May;58(5):527-32. doi: 10.1016/j.jadohealth.2016.01.005. Epub 2016 Mar 16. J Adolesc Health. 2016. PMID: 26995291 Free PMC article.
-
Social Media and Obesity in Adults: a Review of Recent Research and Future Directions.Curr Diab Rep. 2018 Apr 18;18(6):34. doi: 10.1007/s11892-018-1001-9. Curr Diab Rep. 2018. PMID: 29671135 Review.
-
Ethical considerations in using Facebook for health care support: a case study using concussion management.PM R. 2013 Apr;5(4):328-34. doi: 10.1016/j.pmrj.2013.03.007. PM R. 2013. PMID: 23622785 Review.
Cited by
-
Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter.JMIR Public Health Surveill. 2015 Jul 27;1(2):e7. doi: 10.2196/publichealth.4488. eCollection 2015 Jul-Dec. JMIR Public Health Surveill. 2015. PMID: 27227141 Free PMC article.
-
The history and future of digital health in the field of behavioral medicine.J Behav Med. 2019 Feb;42(1):67-83. doi: 10.1007/s10865-018-9966-z. Epub 2019 Mar 1. J Behav Med. 2019. PMID: 30825090 Free PMC article.
-
Development and Evaluation of an Obesity Ontology for Social Big Data Analysis.Healthc Inform Res. 2017 Jul;23(3):159-168. doi: 10.4258/hir.2017.23.3.159. Epub 2017 Jul 31. Healthc Inform Res. 2017. PMID: 28875050 Free PMC article.
-
Tweeting back: predicting new cases of back pain with mass social media data.J Am Med Inform Assoc. 2016 May;23(3):644-8. doi: 10.1093/jamia/ocv168. Epub 2015 Dec 11. J Am Med Inform Assoc. 2016. PMID: 26661720 Free PMC article.
-
Digital haemophilia: Insights into the use of social media for haemophilia care, research and advocacy.Haemophilia. 2022 Mar;28(2):247-253. doi: 10.1111/hae.14510. Epub 2022 Feb 15. Haemophilia. 2022. PMID: 35167716 Free PMC article.
References
-
- Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med 2007;357:370–9 - PubMed
-
- Coiera E. Social networks, social media, and social diseases. BMJ 2013;346:f3007. - PubMed
-
- Wing RR, Jeffery RW. Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. J Consult Clin Psychol 1999;67:132–8 - PubMed
-
- Kumanyika S, Wadden T, Shults J, et al. . Trial of family and friend support for weight loss in African American adults. Arch Intern Med 2009;169:1795–804 - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous