Literature DB >> 24928175

Tweeting it off: characteristics of adults who tweet about a weight loss attempt.

Sherry Pagoto1, Kristin L Schneider2, Martinus Evans1, Molly E Waring3, Brad Appelhans4, Andrew M Busch5, Matthew C Whited6, Herpreet Thind5, Michelle Ziedonis1.   

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. 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.

Entities:  

Keywords:  Twitter; obesity; social media; social networks; weight loss

Mesh:

Year:  2014        PMID: 24928175      PMCID: PMC4215051          DOI: 10.1136/amiajnl-2014-002652

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  20 in total

1.  Weight loss on the web: A pilot study comparing a structured behavioral intervention to a commercial program.

Authors:  Beth Casey Gold; Susan Burke; Stephen Pintauro; Paul Buzzell; Jean Harvey-Berino
Journal:  Obesity (Silver Spring)       Date:  2007-01       Impact factor: 5.002

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Social network concordance in food choice among spouses, friends, and siblings.

Authors:  Mark A Pachucki; Paul F Jacques; Nicholas A Christakis
Journal:  Am J Public Health       Date:  2011-09-22       Impact factor: 9.308

4.  Online social networking sites-a novel setting for health promotion?

Authors:  Julika Loss; Verena Lindacher; Janina Curbach
Journal:  Health Place       Date:  2013-12-25       Impact factor: 4.078

5.  Confronting and coping with weight stigma: an investigation of overweight and obese adults.

Authors:  Rebecca M Puhl; Kelly D Brownell
Journal:  Obesity (Silver Spring)       Date:  2006-10       Impact factor: 5.002

6.  Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention.

Authors:  Gabrielle M Turner-McGrievy; Deborah F Tate
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

7.  Can I get a retweet please? Health research recruitment and the Twittersphere.

Authors:  Anita O'Connor; Leigh Jackson; Lesley Goldsmith; Heather Skirton
Journal:  J Adv Nurs       Date:  2013-08-04       Impact factor: 3.187

8.  Spousal undermining of older diabetic patients' disease management.

Authors:  Shayna L Henry; Karen S Rook; Mary A P Stephens; Melissa M Franks
Journal:  J Health Psychol       Date:  2013-01-16

9.  Social support in an Internet weight loss community.

Authors:  Kevin O Hwang; Allison J Ottenbacher; Angela P Green; M Roseann Cannon-Diehl; Oneka Richardson; Elmer V Bernstam; Eric J Thomas
Journal:  Int J Med Inform       Date:  2009-11-27       Impact factor: 4.046

10.  Facebook Advertisements for Inexpensive Participant Recruitment Among Women in Early Pregnancy.

Authors:  Adriana Arcia
Journal:  Health Educ Behav       Date:  2013-09-30
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  25 in total

1.  Interest in a Twitter-delivered weight loss program among women of childbearing age.

Authors:  Molly E Waring; Kristin L Schneider; Bradley M Appelhans; Tiffany A Moore Simas; Rui S Xiao; Matthew C Whited; Andrew M Busch; Martinus M Evans; Sherry L Pagoto
Journal:  Transl Behav Med       Date:  2016-06       Impact factor: 3.046

2.  Tweet for health: using an online social network to examine temporal trends in weight loss-related posts.

Authors:  Gabrielle M Turner-McGrievy; Michael W Beets
Journal:  Transl Behav Med       Date:  2015-06       Impact factor: 3.046

3.  Factors associated with long-term wearable physical activity monitor user engagement.

Authors:  Ciarán P Friel; Talea Cornelius; Keith M Diaz
Journal:  Transl Behav Med       Date:  2021-02-11       Impact factor: 3.046

Review 4.  Social Media and Obesity in Adults: a Review of Recent Research and Future Directions.

Authors:  Molly E Waring; Danielle E Jake-Schoffman; Marta M Holovatska; Claudia Mejia; Jamasia C Williams; Sherry L Pagoto
Journal:  Curr Diab Rep       Date:  2018-04-18       Impact factor: 4.810

5.  High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data.

Authors:  Tom Huang; Anas Elghafari; Kunal Relia; Rumi Chunara
Journal:  Proc ACM Hum Comput Interact       Date:  2017-11

6.  Digital haemophilia: Insights into the use of social media for haemophilia care, research and advocacy.

Authors:  Robert Chen; Kavitha Muralidharan; Benjamin J Samelson-Jones
Journal:  Haemophilia       Date:  2022-02-15       Impact factor: 4.287

7.  Engaging primary care patients with existing online tools for weight loss: A pilot trial.

Authors:  Megan A McVay; Kellie B Cooper; Marissa L Donahue; Montserrat Carrera Seoane; Nipa R Shah; Fern Webb; Michael Perri; Danielle E Jake-Schoffman
Journal:  Obes Sci Pract       Date:  2022-02-23

8.  Use of Facebook, Instagram, and Twitter for recruiting healthy participants in nutrition-, physical activity-, or obesity-related studies: a systematic review.

Authors:  Malik Ellington; Jeneene Connelly; Priscilla Clayton; C Yaisli Lorenzo; Christina Collazo-Velazquez; María Angélica Trak-Fellermeier; Cristina Palacios
Journal:  Am J Clin Nutr       Date:  2022-02-09       Impact factor: 8.472

9.  The weight loss blogosphere: an online survey of weight loss bloggers.

Authors:  Martinus Evans; Pouran D Faghri; Sherry L Pagoto; Kristin L Schneider; Molly E Waring; Matthew C Whited; Bradley M Appelhans; Andrew Busch; Ailton S Coleman
Journal:  Transl Behav Med       Date:  2016-09       Impact factor: 3.046

10.  Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions.

Authors:  Christine N May; Molly E Waring; Stephanie Rodrigues; Jessica L Oleski; Effie Olendzki; Martinus Evans; Jennifer Carey; Sherry L Pagoto
Journal:  Transl Behav Med       Date:  2017-03       Impact factor: 3.046

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