Literature DB >> 21181600

Measuring social support for weight loss in an internet weight loss community.

Kevin O Hwang1, Allison J Ottenbacher, Joseph F Lucke, Jason M Etchegaray, Amanda L Graham, Eric J Thomas, Elmer V Bernstam.   

Abstract

Although overweight and obese individuals are turning to Internet communities for social support for weight loss, there is no validated online instrument for measuring the subjective social support experiences of participants in these communities. The authors' objective was to determine whether an online version of a validated paper questionnaire, the Weight Management Support Inventory, is appropriate for measuring social support among members of Internet weight loss communities. The authors administered the paper and online versions of the questionnaire in random, counterbalanced fashion to 199 members of a large Internet weight loss community. Scores for the paper and online versions were comparable in between-subjects and within-subjects comparisons. Convergent validity is suggested by the finding that participants who posted messages on Internet forums several times per day reported more social support than those who posted less frequently. However, the instrumental (tangible) support items did not load significantly on the instrumental support factor, suggesting that instrumental support is not relevant to the social support exchanged among participants in these communities. The authors conclude that the online, modified Weight Management Support Inventory, without items for instrumental support, is an appropriate instrument for measuring social support for weight loss among members of Internet weight loss communities.

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Mesh:

Year:  2011        PMID: 21181600     DOI: 10.1080/10810730.2010.535106

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  7 in total

1.  Obesity in social media: a mixed methods analysis.

Authors:  Wen-Ying Sylvia Chou; Abby Prestin; Stephen Kunath
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

2.  Structural social support predicts functional social support in an online weight loss programme.

Authors:  Kevin O Hwang; Jason M Etchegaray; Christopher N Sciamanna; Elmer V Bernstam; Eric J Thomas
Journal:  Health Expect       Date:  2012-01-02       Impact factor: 3.377

3.  Weight loss-there is an app for that! But does it adhere to evidence-informed practices?

Authors:  Emily R Breton; Bernard F Fuemmeler; Lorien C Abroms
Journal:  Transl Behav Med       Date:  2011-12       Impact factor: 3.046

4.  A Conceptual Model of Long-Term Weight Loss Maintenance: The Importance of Cognitive, Empirical and Computational Approaches.

Authors:  Darren Haywood; Blake J Lawrence; Frank D Baughman; Barbara A Mullan
Journal:  Int J Environ Res Public Health       Date:  2021-01-13       Impact factor: 3.390

5.  Website usage and weight loss in a free commercial online weight loss program: retrospective cohort study.

Authors:  Kevin O Hwang; Jing Ning; Amber W Trickey; Christopher N Sciamanna
Journal:  J Med Internet Res       Date:  2013-01-15       Impact factor: 5.428

6.  Click "like" to change your behavior: a mixed methods study of college students' exposure to and engagement with Facebook content designed for weight loss.

Authors:  Gina Merchant; Nadir Weibel; Kevin Patrick; James H Fowler; Greg J Norman; Anjali Gupta; Christina Servetas; Karen Calfas; Ketaki Raste; Laura Pina; Mike Donohue; William G Griswold; Simon Marshall
Journal:  J Med Internet Res       Date:  2014-06-24       Impact factor: 5.428

7.  Twitter-Delivered Behavioral Weight-Loss Interventions: A Pilot Series.

Authors:  Sherry L Pagoto; Molly E Waring; Kristin L Schneider; Jessica L Oleski; Effie Olendzki; Rashelle B Hayes; Bradley M Appelhans; Matthew C Whited; Andrew M Busch; Stephenie C Lemon
Journal:  JMIR Res Protoc       Date:  2015-10-23
  7 in total

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