Literature DB >> 28557558

A Social Media Peer Group for Mothers To Prevent Obesity from Infancy: The Grow2Gether Randomized Trial.

Alexander G Fiks1,2, Rachel S Gruver1, Chanelle T Bishop-Gilyard3,4, Justine Shults5, Senbagam Virudachalam1,2, Andrew W Suh1, Marsha Gerdes1,3, Gurpreet K Kalra6, Patricia A DeRusso2,7, Alexandra Lieberman1, Daniel Weng1, Michal A Elovitz8, Robert I Berkowitz3,4,2, Thomas J Power3,2,9.   

Abstract

BACKGROUND: Few studies have addressed obesity prevention among low-income families whose infants are at increased obesity risk. We tested a Facebook peer-group intervention for low-income mothers to foster behaviors promoting healthy infant growth.
METHODS: In this randomized controlled trial, 87 pregnant women (Medicaid insured, BMI ≥25 kg/m2) were randomized to the Grow2Gether intervention or text message appointment reminders. Grow2Gether participants joined a private Facebook group of 9-13 women from 2 months before delivery until infant age 9 months. A psychologist facilitated groups featuring a curriculum of weekly videos addressing feeding, sleep, parenting, and maternal well-being. Feasibility was assessed using the frequency and content of participation, and acceptability using surveys. Maternal beliefs and behaviors and infant growth were assessed at birth, 2, 4, 6, and 9 months. Differences in infant growth between study arms were explored. We conducted intention-to-treat analyses using quasi-least-squares regression.
RESULTS: Eighty-eight percent (75/85) of intervention participants (42% (36/85) food insecure, 88% (75/85) black) reported the group was helpful. Participants posted 30 times/group/week on average. At 9 months, the intervention group had significant improvement in feeding behaviors (Infant Feeding Style Questionnaire) compared to the control group (p = 0.01, effect size = 0.45). Intervention group mothers were significantly less likely to pressure infants to finish food and, at age 6 months, give cereal in the bottle. Differences were not observed for other outcomes, including maternal feeding beliefs or infant weight-for-length.
CONCLUSIONS: A social media peer-group intervention was engaging and significantly impacted certain feeding behaviors in families with infants at high risk of obesity.

Entities:  

Keywords:  Internet; behavior change; infant; mHealth; prevention; social media

Mesh:

Year:  2017        PMID: 28557558      PMCID: PMC5647509          DOI: 10.1089/chi.2017.0042

Source DB:  PubMed          Journal:  Child Obes        ISSN: 2153-2168            Impact factor:   2.992


  45 in total

1.  Breastfeeding and complementary food: randomized trial of community doula home visiting.

Authors:  Renee C Edwards; Matthew J Thullen; Jon Korfmacher; John D Lantos; Linda G Henson; Sydney L Hans
Journal:  Pediatrics       Date:  2013-11       Impact factor: 7.124

2.  Using technology to promote postpartum weight loss in urban, low-income mothers: a pilot randomized controlled trial.

Authors:  Sharon J Herring; Jane F Cruice; Gary G Bennett; Adam Davey; Gary D Foster
Journal:  J Nutr Educ Behav       Date:  2014-07-26       Impact factor: 3.045

3.  Development and validity of a 2-item screen to identify families at risk for food insecurity.

Authors:  Erin R Hager; Anna M Quigg; Maureen M Black; Sharon M Coleman; Timothy Heeren; Ruth Rose-Jacobs; John T Cook; Stephanie A Ettinger de Cuba; Patrick H Casey; Mariana Chilton; Diana B Cutts; Alan F Meyers; Deborah A Frank
Journal:  Pediatrics       Date:  2010-07       Impact factor: 7.124

4.  Quick assessment of literacy in primary care: the newest vital sign.

Authors:  Barry D Weiss; Mary Z Mays; William Martz; Kelley Merriam Castro; Darren A DeWalt; Michael P Pignone; Joy Mockbee; Frank A Hale
Journal:  Ann Fam Med       Date:  2005 Nov-Dec       Impact factor: 5.166

5.  Home and videotape intervention delays early complementary feeding among adolescent mothers.

Authors:  M M Black; E H Siegel; Y Abel; M E Bentley
Journal:  Pediatrics       Date:  2001-05       Impact factor: 7.124

6.  Low inhibitory control and restrictive feeding practices predict weight outcomes.

Authors:  Stephanie L Anzman; Leann L Birch
Journal:  J Pediatr       Date:  2009-11       Impact factor: 4.406

Review 7.  Opportunities for the primary prevention of obesity during infancy.

Authors:  Ian M Paul; Cynthia J Bartok; Danielle S Downs; Cynthia A Stifter; Alison K Ventura; Leann L Birch
Journal:  Adv Pediatr       Date:  2009

8.  Weight status in the first 6 months of life and obesity at 3 years of age.

Authors:  Elsie M Taveras; Sheryl L Rifas-Shiman; Mandy B Belfort; Ken P Kleinman; Emily Oken; Matthew W Gillman
Journal:  Pediatrics       Date:  2009-04       Impact factor: 7.124

9.  Usability testing and piloting of the Mums Step It Up program--a team-based social networking physical activity intervention for women with young children.

Authors:  Jocelyn Kernot; Tim Olds; Lucy K Lewis; Carol Maher
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

10.  Does parenting affect children's eating and weight status?

Authors:  Alison K Ventura; Leann L Birch
Journal:  Int J Behav Nutr Phys Act       Date:  2008-03-17       Impact factor: 6.457

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  20 in total

Review 1.  Addressing obesity in the first 1000 days in high risk infants: Systematic review.

Authors:  Chris Rossiter; Heilok Cheng; Jessica Appleton; Karen J Campbell; Elizabeth Denney-Wilson
Journal:  Matern Child Nutr       Date:  2021-03-29       Impact factor: 3.092

2.  The influence of social media on child feeding practices and beliefs among Hispanic mothers: A mixed methods study.

Authors:  Dina H Griauzde; Edith C Kieffer; Sarah E Domoff; Kristen Hess; Susannah Feinstein; Amy Frank; Denise Pike; Megan H Pesch
Journal:  Eat Behav       Date:  2019-12-24

Review 3.  Child, Caregiver, Family, and Social-Contextual Factors to Consider when Implementing Parent-Focused Child Feeding Interventions.

Authors:  Alison L Miller; Sara E Miller; Katy M Clark
Journal:  Curr Nutr Rep       Date:  2018-12

4.  A social media intervention for the families of young Black men with obstructive sleep apnoea.

Authors:  Alexa J Watach; Chanelle T Bishop-Gilyard; Helen Ku; Olufunke Afolabi-Brown; Elizabeth Prout Parks; Melissa S Xanthopoulos
Journal:  Health Educ J       Date:  2022-05-04

Review 5.  An Integrative Review: Understanding Parental Use of Social Media to Influence Infant and Child Health.

Authors:  Kelly Pretorius; Karen E Johnson; Lynn Rew
Journal:  Matern Child Health J       Date:  2019-10

6.  Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population.

Authors:  Jennifer Petkovic; Stephanie Duench; Jessica Trawin; Omar Dewidar; Jordi Pardo Pardo; Rosiane Simeon; Marie DesMeules; Diane Gagnon; Janet Hatcher Roberts; Alomgir Hossain; Kevin Pottie; Tamara Rader; Peter Tugwell; Manosila Yoganathan; Justin Presseau; Vivian Welch
Journal:  Cochrane Database Syst Rev       Date:  2021-05-31

7.  Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review.

Authors:  Rosiane Simeon; Omar Dewidar; Jessica Trawin; Stephanie Duench; Heather Manson; Jordi Pardo Pardo; Jennifer Petkovic; Janet Hatcher Roberts; Peter Tugwell; Manosila Yoganathan; Justin Presseau; Vivian Welch
Journal:  J Med Internet Res       Date:  2020-06-11       Impact factor: 5.428

8.  Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis.

Authors:  Ko Ling Chan; Mengtong Chen
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-30       Impact factor: 4.773

Review 9.  Engagement design in studies on pregnancy and infant health using social media: Systematic review.

Authors:  Carol Shieh; Israt Khan; Rachel Umoren
Journal:  Prev Med Rep       Date:  2020-05-08

10.  Mothers' Facebook posts about infant health: findings from the Grow2Gether study.

Authors:  Stacey Kallem; Rachel S Gruver; Senbagam Virudachalam; Alexander G Fiks
Journal:  BMC Pediatr       Date:  2018-10-31       Impact factor: 2.125

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