This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Information Seeking, Information Needs (426) Pregnancy Information, Education and Lifestyle Interventions (284)

Published on in Vol 21, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13694, first published .
Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study

Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study

Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study

Authors of this article:

Chengyan Zhu1 Author Orcid Image ;   Runxi Zeng2 Author Orcid Image ;   Wei Zhang3 Author Orcid Image ;   Richard Evans4 Author Orcid Image ;   Rongrong He5 Author Orcid Image
Article Authors Cited by (39) Tweetations (6) Metrics

Journals

  1. Ma R, Deng Z, Wu M. Effects of Health Information Dissemination on User Follows and Likes during COVID-19 Outbreak in China: Data and Content Analysis. International Journal of Environmental Research and Public Health 2020;17(14):5081 View
  2. Zhu C, Xu X, Zhang W, Chen J, Evans R. How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees. International Journal of Environmental Research and Public Health 2019;17(1):192 View
  3. Moreno-Fernández M, Matute H. Biased Sampling and Causal Estimation of Health-Related Information: Laboratory-Based Experimental Research. Journal of Medical Internet Research 2020;22(7):e17502 View
  4. Aston M, Price S, Hunter A, Sim M, Etowa J, Monaghan J, Paynter M. Second Opinions: Negotiating Agency in Online Mothering Forums. Canadian Journal of Nursing Research 2021;53(4):327 View
  5. Xie J, He Z, Burnett G, Cheng Y. How do mothers exchange parenting-related information in online communities? A meta-synthesis. Computers in Human Behavior 2021;115:106631 View
  6. Uwambaye P, Nyiringango G, Musabwasoni S, Husain A, Nessa K, Razzaque M. COVID-19 Pandemic: Adaptation in Antenatal Care for Better Pregnancy Outcomes. Frontiers in Global Women's Health 2020;1 View
  7. Wang J, Zhou Y, Zhang W, Evans R, Zhu C. Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data. Journal of Medical Internet Research 2020;22(11):e22152 View
  8. GÜL ÜNLÜ D. “Hepsi Bir Işık Oluyor Ama Karanlıktaki Ay Gibi, Güneş Gibi Değil”: Annelerin Dijital Ortamdaki Annelik Tavsiyesine İlişkin Değerlendirmeleri. Kültür ve İletişim 2021;24 (1)(47):260 View
  9. Chen J, Wang Y. Social Media Use for Health Purposes: Systematic Review. Journal of Medical Internet Research 2021;23(5):e17917 View
  10. Leite C, Almeida A. A framework proposal for digital interventions in perinatal education: the result of a content analysis to WHO intra-partum care recommendations. International Journal of Human Rights in Healthcare 2021;14(4):387 View
  11. Lau Y, Wong S, Cheng L, Lau S. Exploring experiences and needs of perinatal women in digital healthcare: A meta-ethnography of qualitative evidence. International Journal of Medical Informatics 2023;169:104929 View
  12. DEĞİRMENCİLER B, SERCEKUS P, ÖZKAN S. İnternet ve Sosyal Medya Kullanımı Gebe Kadınları Nasıl Etkiler?. Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi 2022;5(3):453 View
  13. Oto T, Watanabe J, Ito Y, Kotani K. Social Networking Services as a Tool for Support of Mothers: A Literature Review. Women's Health Reports 2022;3(1):931 View
  14. Andalibi N, Bowen K. Internet-Based Information Behavior After Pregnancy Loss: Interview Study. JMIR Formative Research 2022;6(3):e32640 View
  15. Huang X, Sun W, Wang R, Wu H, Yu S, Fang X, Liu Y, Akinwunmi B, Huang J, Ming W. Present Situation and the Future Development of Web-Based Prenatal Education in China: Cross-sectional Web-Based Survey. Journal of Medical Internet Research 2022;24(6):e28637 View
  16. Lee J, Lee E. What topics are women interested in during pregnancy: exploring the role of social media as informational and emotional support. BMC Pregnancy and Childbirth 2022;22(1) View
  17. Zhang W, Yuan H, Zhu C, Chen Q, Evans R. Does Citizen Engagement With Government Social Media Accounts Differ During the Different Stages of Public Health Crises? An Empirical Examination of the COVID-19 Pandemic. Frontiers in Public Health 2022;10 View
  18. Vogels-Broeke M, Daemers D, Budé L, de Vries R, Nieuwenhuijze M. Sources of information used by women during pregnancy and the perceived quality. BMC Pregnancy and Childbirth 2022;22(1) View
  19. Zhao R, Ju G. How do Internet moms raise children? The reshaping of Chinese urban women’s parenting psychology by COVID-19 online practices. Frontiers in Psychology 2022;13 View
  20. Khamis S, Agboada D. Maternal Health Information Disparities Amid Covid-19: Comparing Urban and Rural Expectant Mothers in Ghana. Media and Communication 2023;11(1):173 View
  21. Caddy C, Cheong M, Lim M, Power R, Vogel J, Bradfield Z, Coghlan B, Homer C, Wilson A, Gill S. “Tell us what’s going on”: Exploring the information needs of pregnant and post-partum women in Australia during the pandemic with ‘Tweets’, ‘Threads’, and women’s views. PLOS ONE 2023;18(1):e0279990 View
  22. Gluppe S, Ellström Engh M, Bø K. Primiparous women’s knowledge of diastasis recti abdominis, concerns about abdominal appearance, treatments, and perceived abdominal muscle strength 6–8 months postpartum. A cross sectional comparison study. BMC Women's Health 2022;22(1) View
  23. Lu Y, Barrett L, Lin R, Amith M, Tao C, He Z. Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: Systematic Review. JMIR Pediatrics and Parenting 2022;5(1):e32235 View
  24. Conrad M. Health information-seeking internet behaviours among pregnant women: a narrative literature review. Journal of Reproductive and Infant Psychology 2024;42(2):194 View
  25. Chakim S, Fauzi F, Budiyono A, Prasetiyo A, Solikhah U. Increasing religious tolerance levels among youth with Our Moderate Game app: Is it effective?. HTS Teologiese Studies / Theological Studies 2023;79(1) View
  26. Alghamdi A, Pileggi S, Sohaib O. Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review. Sustainability 2023;15(13):9957 View
  27. Runxi Zeng , Hua Zhou , Evans R. Adapting to motherhood: Online participation in WeChat groups to support first-time mothers. Teknokultura. Revista de Cultura Digital y Movimientos Sociales 2023;20(Special Issue):57 View
  28. Patra B, Sun Z, Cheng Z, Kumar P, Altammami A, Liu Y, Joly R, Jedlicka C, Delgado D, Pathak J, Peng Y, Zhang Y. Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression. Frontiers in Psychiatry 2023;14 View
  29. Frennesson N, McQuire C, Aijaz Khan S, Barnett J, Zuccolo L. Evaluating Messaging on Prenatal Health Behaviors Using Social Media Data: Systematic Review. Journal of Medical Internet Research 2023;25:e44912 View
  30. Farrokhi F, Ghorbani Z, Farrokhi F, Namdari M, Salavatian S, Umer M. Social media as a tool for oral health promotion: A systematic review. PLOS ONE 2023;18(12):e0296102 View
  31. Cai Q, Tang J, Meng S, Sun Y, Lan X, Liu T. Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study. Heliyon 2024;10(7):e29020 View
  32. Rathbone A, Clarry L, Prescott J. Skilful surfing: modelling the optimum method of online health information seeking during pregnancy. Mental Health and Digital Technologies 2024;1(1):53 View

Books/Policy Documents

  1. Lu Y, Zhang Z, Min K, Luo X, He Z. Diversity, Divergence, Dialogue. View
  2. Given L, Case D, Willson R. Looking for Information. View
  3. . Looking for Information. View
  4. Shanthalakshmi Revathy J, Mangaiyarkkarasi J. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning. View
  5. Achrekar G, Batra K. Effective Use of Social Media in Public Health. View