Literature DB >> 25584084

Varying social media post types differentially impacts engagement in a behavioral weight loss intervention.

Sarah B Hales1, Charis Davidson1, Gabrielle M Turner-McGrievy1.   

Abstract

The purpose of this study was to examine whether different types of posts differentially affect participant engagement and if engagement with social media enhances weight loss. Data are a subanalysis from a randomized weight loss study with a 4-month follow-up support period via private Facebook groups and monthly meetings. Counselors posted five different post types/week based on social cognitive theory (weight-related, recipes, nutrition information, poll votes, or requests for suggestions). Types of participant engagement (likes, comments/poll votes, and views) were assessed. Poll votes were the most engaging (mean number of votes or comments/poll 14.6 ± 3.4, P < 0.01) followed by suggestions (9.1 ± 2.7 posts, P < 0.01) and weight-related posts (7.4 ± 3.1 posts, P < 0.01). Engagement with Facebook was significantly associated with weight loss during the 4-month maintenance period (B = -0.09, P = 0.04). The findings provide evidence for ways to provide social support during weight loss interventions using remote methodology.

Entities:  

Keywords:  Social media; Social support; Weight loss; eHealth; mHealth

Year:  2014        PMID: 25584084      PMCID: PMC4286554          DOI: 10.1007/s13142-014-0274-z

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  23 in total

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Authors:  David S Ludwig; Robert H Eckel
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Authors:  Ali H Mokdad; Earl S Ford; Barbara A Bowman; William H Dietz; Frank Vinicor; Virginia S Bales; James S Marks
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Authors:  Geri Gay; Jp Pollak; Phil Adams; John P Leonard
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

4.  The disease burden associated with overweight and obesity.

Authors:  A Must; J Spadano; E H Coakley; A E Field; G Colditz; W H Dietz
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5.  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

6.  Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults.

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7.  Glycemic index of foods: a physiological basis for carbohydrate exchange.

Authors:  D J Jenkins; T M Wolever; R H Taylor; H Barker; H Fielden; J M Baldwin; A C Bowling; H C Newman; A L Jenkins; D V Goff
Journal:  Am J Clin Nutr       Date:  1981-03       Impact factor: 7.045

Review 8.  Effect of degree of weight loss on health benefits.

Authors:  G Blackburn
Journal:  Obes Res       Date:  1995-09

9.  Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women.

Authors:  T J Key; P N Appleby; G K Reeves; A Roddam; J F Dorgan; C Longcope; F Z Stanczyk; H E Stephenson; R T Falk; R Miller; A Schatzkin; D S Allen; I S Fentiman; T J Key; D Y Wang; M Dowsett; H V Thomas; S E Hankinson; P Toniolo; A Akhmedkhanov; K Koenig; R E Shore; A Zeleniuch-Jacquotte; F Berrino; P Muti; A Micheli; V Krogh; S Sieri; V Pala; E Venturelli; G Secreto; E Barrett-Connor; G A Laughlin; M Kabuto; S Akiba; R G Stevens; K Neriishi; C E Land; J A Cauley; L H Kuller; S R Cummings; K J Helzlsouer; A J Alberg; T L Bush; G W Comstock; G B Gordon; S R Miller; C Longcope
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  43 in total

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Journal:  Hawaii J Health Soc Welf       Date:  2020-06-01

2.  Feasibility of a social media-based weight loss intervention designed for low-SES adults.

Authors:  David N Cavallo; Rogelio Martinez; Monica Webb Hooper; Susan Flocke
Journal:  Transl Behav Med       Date:  2021-04-26       Impact factor: 3.046

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

4.  Participant Perceptions on a Fitbit and Facebook Intervention for Young Adult Cancer Survivors: A Qualitative Study.

Authors:  Evelina M Miropolsky; Kevin Scott Baker; Mark Abbey-Lambertz; Karen Syrjala; Eric J Chow; Rachel Ceballos; Jason A Mendoza
Journal:  J Adolesc Young Adult Oncol       Date:  2020-01-13       Impact factor: 2.223

5.  Effectiveness of Facebook Groups to Boost Participation in a Parenting Intervention.

Authors:  Marina Epstein; Sabrina Oesterle; Kevin P Haggerty
Journal:  Prev Sci       Date:  2019-08

6.  Facebook for Supporting a Lifestyle Intervention for People with Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: an Exploratory Study.

Authors:  John A Naslund; Kelly A Aschbrenner; Lisa A Marsch; Gregory J McHugo; Stephen J Bartels
Journal:  Psychiatr Q       Date:  2018-03

7.  Feasibility and Acceptability of Delivering a Postpartum Weight Loss Intervention via Facebook: A Pilot Study.

Authors:  Molly E Waring; Tiffany A Moore Simas; Jessica Oleski; Rui S Xiao; Julie A Mulcahy; Christine N May; Sherry L Pagoto
Journal:  J Nutr Educ Behav       Date:  2018-01       Impact factor: 3.045

8.  Peer Support: a Human Factor to Enhance Engagement in Digital Health Behavior Change Interventions.

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9.  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

10.  A randomized controlled trial to prevent excessive gestational weight gain and promote postpartum weight loss in overweight and obese women: Health In Pregnancy and Postpartum (HIPP).

Authors:  Sara Wilcox; Jihong Liu; Cheryl L Addy; Gabrielle Turner-McGrievy; Judith T Burgis; Ellen Wingard; Alicia A Dahl; Kara M Whitaker; Lara Schneider; Alycia K Boutté
Journal:  Contemp Clin Trials       Date:  2018-01-31       Impact factor: 2.226

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