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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Infodemiology and Infoveillance (1278) Perinatal Depression; Postpartum Depression; PPD (88)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23575, first published .
The Relationship Between Images Posted by New Mothers on WeChat Moments and Postpartum Depression: Cohort Study

The Relationship Between Images Posted by New Mothers on WeChat Moments and Postpartum Depression: Cohort Study

The Relationship Between Images Posted by New Mothers on WeChat Moments and Postpartum Depression: Cohort Study

Authors of this article:

Weina Zhang1, 2 Author Orcid Image ;   Lu Liu1 Author Orcid Image ;   Qijin Cheng3 Author Orcid Image ;   Yan Chen2 Author Orcid Image ;   Dong Xu4 Author Orcid Image ;   Wenjie Gong1, 5, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Tang L, Tiggemann M, Haines J. #Fitmom: an experimental investigation of the effect of social media on body dissatisfaction and eating and physical activity intentions, attitudes, and behaviours among postpartum mothers. BMC Pregnancy and Childbirth 2022;22(1) View
  2. Holmgren H, Stockdale L, Gale M, Coyne S. Parent and child problematic media use: The role of maternal postpartum depression and dysfunctional parent-child interactions in young children. Computers in Human Behavior 2022;133:107293 View
  3. Qu X, Houser S, Zhang J, Wen J, Zhang W. Association between using social media WeChat and depressive symptoms among middle-aged and older people: findings from a national survey. BMC Geriatrics 2022;22(1) View
  4. Dhelim S, Chen L, Das S, Ning H, Nugent C, Leavey G, Pesch D, Bantry-White E, Burns D. Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey. ACM Computing Surveys 2023;55(14s):1 View
  5. Yu L, Wu Y, Guo C, Qiao Q, Wang X, Zang S. Latent profile analysis for health-related quality of life, sleep quality, morning and evening type, and internet addiction among medical students. Scientific Reports 2023;13(1) View
  6. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View