Literature DB >> 31728381

Pregnancy posting: exploring characteristics of social media posts around pregnancy and user engagement.

Jessica R Oviatt1, Stephanie M Reich1.   

Abstract

BACKGROUND: Pregnant women use the Internet and social networking sites to meet a variety of pregnancy-related needs as well as to help make decisions regarding their pregnancy and/or parenting. Knowing more about the current landscape of social networking sites as it relates to pregnancy can inform future work that wants to leverage social media for education or support.
METHODS: Across a 7-day period, we conducted a content analysis of 4 Facebook pregnancy-related groups and 4 Instagram pregnancy-related channels. The posts were coded based on the nature, content, and purpose of each post as well as the number of likes, shares, and comments for each. After establishing inter-rater reliability, univariate statistics were used to describe the nature, characteristics, and popularity of the posts for each group or channel. We then used logistic regressions to predict which characteristics were associated with being popular or unpopular with users.
RESULTS: There were 288 eligible posts within the 7-day window. Only a small proportion of the large (182,000 to 2,527,712) amount of followers responded with likes or comments (comments: mean =0.02%, SD =0.04%; likes: mean =0.36%, SD =0.89%). Facebook posts tended to give more general pregnancy-related information or opportunities for personal sharing while Instagram posts often had emotional support themes or posts meant to make pregnancy relatable. Popular posts tended to try to make pregnancy more relatable (OR =4.21, P<0.01) or offer emotional support (OR =4.62, P<0.01), while unpopular posts tended to provide general pregnancy-related information (OR= 2.17, P<0.05).
CONCLUSIONS: In general, there were clear characteristics that differentiated the two social networking site posts that garner user attention or not. This can inform how to provide health information and social support via social media to maximize its influence. This work suggests which features are desirable for followers and can help those interested in leveraging Instagram and Facebook to provide pregnancy-related health information. 2019 mHealth. All rights reserved.

Entities:  

Keywords:  Pregnancy; health information; social media; social support

Year:  2019        PMID: 31728381      PMCID: PMC6851430          DOI: 10.21037/mhealth.2019.09.09

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  20 in total

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Authors:  D Rodger; A Skuse; M Wilmore; S Humphreys; J Dalton; M Flabouris; V L Clifton
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Review 2.  Harnessing social media for health promotion and behavior change.

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Review 3.  Computer- or web-based interventions for perinatal mental health: A systematic review.

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4.  What is the impact of the Internet on decision-making in pregnancy? A global study.

Authors:  Briege M Lagan; Marlene Sinclair; W George Kernohan
Journal:  Birth       Date:  2011-09-06       Impact factor: 3.689

5.  Pregnancy eHealth and mHealth: user proportions and characteristics of pregnant women using Web-based information sources-a cross-sectional study.

Authors:  Stephanie Wallwiener; Mitho Müller; Anne Doster; Wolfgang Laserer; Corinna Reck; Jan Pauluschke-Fröhlich; Sara Y Brucker; Christian W Wallwiener; Markus Wallwiener
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6.  An emerging model of maternity care: smartphone, midwife, doctor?

Authors:  Nadia Tripp; Kirsten Hainey; Anthony Liu; Alison Poulton; Michael Peek; Jinman Kim; Ralph Nanan
Journal:  Women Birth       Date:  2013-12-02       Impact factor: 3.172

Review 7.  Healthy behaviors and sources of health information among low-income pregnant women.

Authors:  Lynne Porter Lewallen
Journal:  Public Health Nurs       Date:  2004 May-Jun       Impact factor: 1.462

Review 8.  Therapist-Supported Internet-Based Cognitive Behavior Therapy for Stress, Anxiety, and Depressive Symptoms Among Postpartum Women: A Systematic Review and Meta-Analysis.

Authors:  Ying Lau; Tha Pyai Htun; Suei Nee Wong; Wai San Wilson Tam; Piyanee Klainin-Yobas
Journal:  J Med Internet Res       Date:  2017-04-28       Impact factor: 5.428

9.  Feasibility, acceptability and efficacy of a web-based computer-tailored physical activity intervention for pregnant women - the Fit4Two randomised controlled trial.

Authors:  Melanie Hayman; Peter Reaburn; Matthew Browne; Corneel Vandelanotte; Stephanie Alley; Camille E Short
Journal:  BMC Pregnancy Childbirth       Date:  2017-03-23       Impact factor: 3.007

10.  Humor and Laughter May Influence Health IV. Humor and Immune Function.

Authors:  Mary Payne Bennett; Cecile Lengacher
Journal:  Evid Based Complement Alternat Med       Date:  2007-12-05       Impact factor: 2.629

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  4 in total

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Journal:  Transl Behav Med       Date:  2022-05-25       Impact factor: 3.626

2.  Using content analysis to inform health communication efforts on social media: Is popularity the goal?

Authors:  Wen-Ying Sylvia Chou
Journal:  Mhealth       Date:  2021-07-20

3.  The Use of Social Media for Preconception Information and Pregnancy Planning among Young Women.

Authors:  Helen Skouteris; Melissa Savaglio
Journal:  J Clin Med       Date:  2021-04-27       Impact factor: 4.241

4.  #Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses.

Authors:  Yunhwan Kim; Donghwi Song; Yeon Ju Lee
Journal:  Int J Environ Res Public Health       Date:  2020-10-17       Impact factor: 3.390

  4 in total

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