Literature DB >> 27356998

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

Molly E Waring1,2, Kristin L Schneider3, Bradley M Appelhans4, Tiffany A Moore Simas5,6, Rui S Xiao7, Matthew C Whited8, Andrew M Busch9,10, Martinus M Evans11, Sherry L Pagoto11.   

Abstract

Weight management through the childbearing years is important, yet few women have access to efficacious weight loss programs. Online social network-delivered programs may increase reach and thus impact. The aim of this study was to gauge interest in a Twitter-based weight loss intervention among women of childbearing age and the feasibility of recruitment via Twitter. We recruited English-speaking women aged 18-45 years (N = 63) from Twitter to complete an anonymous online survey including open-ended questions about program advantages and concerns. Forty percent of participants were obese and 83 % were trying to lose weight. Eighty-one percent were interested in a Twitter-delivered weight loss program. Interest was high in all subgroups (62-100 %). Participants (59 %) cited program advantages, including convenience, support/accountability, and privacy. Concerns (59 %) included questions about privacy, support/accountability, engagement, efficacy, and technology barriers. Research is needed to develop and evaluate social media-delivered interventions, and to develop methods for recruiting participants directly from Twitter.

Entities:  

Keywords:  Childbearing; Obesity; Online social networks; Social media; Twitter; Weight loss; Women

Mesh:

Year:  2016        PMID: 27356998      PMCID: PMC4927447          DOI: 10.1007/s13142-015-0382-4

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


  40 in total

1.  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

2.  2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society.

Authors:  Michael D Jensen; Donna H Ryan; Caroline M Apovian; Jamy D Ard; Anthony G Comuzzie; Karen A Donato; Frank B Hu; Van S Hubbard; John M Jakicic; Robert F Kushner; Catherine M Loria; Barbara E Millen; Cathy A Nonas; F Xavier Pi-Sunyer; June Stevens; Victor J Stevens; Thomas A Wadden; Bruce M Wolfe; Susan Z Yanovski; Harmon S Jordan; Karima A Kendall; Linda J Lux; Roycelynn Mentor-Marcel; Laura C Morgan; Michael G Trisolini; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

3.  Using Internet technology to deliver a behavioral weight loss program.

Authors:  D F Tate; R R Wing; R A Winett
Journal:  JAMA       Date:  2001-03-07       Impact factor: 56.272

Review 4.  Medical hazards of obesity.

Authors:  F X Pi-Sunyer
Journal:  Ann Intern Med       Date:  1993-10-01       Impact factor: 25.391

5.  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

6.  Patterns of success: online self-monitoring in a web-based behavioral weight control program.

Authors:  Rebecca A Krukowski; Jean Harvey-Berino; Zoran Bursac; Taka Ashikaga; Delia Smith West
Journal:  Health Psychol       Date:  2012-04-30       Impact factor: 4.267

7.  Associations of internet website use with weight change in a long-term weight loss maintenance program.

Authors:  Kristine L Funk; Victor J Stevens; Lawrence J Appel; Alan Bauck; Phillip J Brantley; Catherine M Champagne; Janelle Coughlin; Arlene T Dalcin; Jean Harvey-Berino; Jack F Hollis; Gerald J Jerome; Betty M Kennedy; Lillian F Lien; Valerie H Myers; Carmen Samuel-Hodge; Laura P Svetkey; William M Vollmer
Journal:  J Med Internet Res       Date:  2010-07-27       Impact factor: 5.428

8.  Excess gains in weight and waist circumference associated with childbearing: The Coronary Artery Risk Development in Young Adults Study (CARDIA).

Authors:  E P Gunderson; M A Murtaugh; C E Lewis; C P Quesenberry; D S West; S Sidney
Journal:  Int J Obes Relat Metab Disord       Date:  2004-04

Review 9.  Social networking strategies that aim to reduce obesity have achieved significant although modest results.

Authors:  Hutan Ashrafian; Tania Toma; Leanne Harling; Karen Kerr; Thanos Athanasiou; Ara Darzi
Journal:  Health Aff (Millwood)       Date:  2014-09       Impact factor: 6.301

10.  Parity and body mass index in US women: a prospective 25-year study.

Authors:  Barbara Abrams; Brianna Heggeseth; David Rehkopf; Esa Davis
Journal:  Obesity (Silver Spring)       Date:  2013-08       Impact factor: 5.002

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  7 in total

1.  Feedback on Instagram posts for a gestational weight gain intervention.

Authors:  Molly E Waring; Sherry L Pagoto; Tiffany A Moore Simas; Grace Heersping; Lauren R Rudin; Kaylei Arcangel
Journal:  Transl Behav Med       Date:  2022-05-25       Impact factor: 3.626

2.  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

3.  Recruiting low-income postpartum women into two weight loss interventions: in-person versus Facebook delivery.

Authors:  Valerie J Silfee; Andrea Lopez-Cepero; Stephenie C Lemon; Barbara Estabrook; Oanh Nguyen; Milagros C Rosal
Journal:  Transl Behav Med       Date:  2019-01-01       Impact factor: 3.046

4.  Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign.

Authors:  Chao He; Shiyan Wu; Yingying Zhao; Zheng Li; Yanyan Zhang; Jia Le; Lei Wang; Siyang Wan; Changqing Li; Yindong Li; Xinying Sun
Journal:  J Med Internet Res       Date:  2017-10-23       Impact factor: 5.428

Review 5.  Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review.

Authors:  Chuqin Li; Adesoji Ademiluyi; Yaorong Ge; Albert Park
Journal:  JMIR Public Health Surveill       Date:  2022-03-07

6.  Social media use for nutrition outcomes in young adults: a mixed-methods systematic review.

Authors:  Karen M Klassen; Caitlin H Douglass; Linda Brennan; Helen Truby; Megan S C Lim
Journal:  Int J Behav Nutr Phys Act       Date:  2018-07-24       Impact factor: 6.457

7.  Characteristics Associated With Facebook Use and Interest in Digital Disease Support Among Older Adults With Atrial Fibrillation: Cross-Sectional Analysis of Baseline Data From the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF) Cohort.

Authors:  Molly E Waring; Mellanie T Hills; Darleen M Lessard; Jane S Saczynski; Brooke A Libby; Marta M Holovatska; Alok Kapoor; Catarina I Kiefe; David D McManus
Journal:  JMIR Cardio       Date:  2019-11-14
  7 in total

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