The Relationship Between Images Posted by New Mothers on WeChat Moments and Postpartum Depression: Cohort Study
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AbstractBackground:
As social media posts reflect users’ emotions, WeChat Moments, the most popular social media platform in China, may offer a glimpse into postpartum depression in the population.

Objective:
This study aimed to investigate the features of the images that mothers posted on WeChat Moments after childbirth and to explore the correlation between these features and the mothers' risk of postpartum depression.

Methods:
We collected the data of 419 mothers after delivery, including their demographics, factors associated with postpartum depression, and images posted on WeChat Moments. Postpartum depression was measured using the Edinburgh Postnatal Depression Scale. Descriptive analyses were performed to assess the following: content of the images, presence of people, the people’s facial expressions, and whether or not memes were posted on WeChat Moments. Logistic regression analyses were used to identify the image features associated with postpartum depression.

Results:
Compared with pictures of other people, we found that pictures of their children comprised the majority (3909/6887, 56.8%) of the pictures posted by the mothers on WeChat Moments. Among the posts showing facial expressions or memes, more positive than negative emotions were expressed. Women who posted selfies during the postpartum period were more likely to have postpartum depression (P=.003; odds ratio 2.27, 95% CI 1.33-3.87).

Conclusions:
The vast majority of mothers posted images conveying positive emotions during the postpartum period, but these images may have masked their depression. New mothers who have posted selfies may be at a higher risk of postpartum depression.
Acceptance Date28/10/2020
All Author(s) ListWeina Zhang, Lu Liu, Qijin Cheng, Yan Chen, Dong Xu, Wenjie Gong
Journal nameJournal of Medical Internet research
Year2020
Month11
Day30
Volume Number22
Issue Number11
PublisherJMIR Publications
Article numbere23575
ISSN1438-8871
LanguagesEnglish-United States

Last updated on 2021-17-09 at 00:37