Jiang, Lingqing, Zhu, Z. (2022) Maternal Mental Health and Social Support from Online Communities During Pregnancy. Health and Social Care in the Community, 30 (6). pp. 1-13. ISSN 1365-2524. (doi:10.1111/hsc.14075) (KAR id:97284)
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Official URL: http://doi.org/10.1111/hsc.14075 |
Abstract
Social determinants of public health have gained increasing attention. This paper studied whether social support from online communities related to maternal mental health. We focused on online maternity communities that group users with a similar prenatal status to facilitate their exchange of personal experiences and knowledge about maternal caring during pregnancy. Such online maternity communities are getting increasingly popular and can be found across countries and societies. We invited users - currently pregnant and gave birth within one year at the time of the study - from one such community in China to participate in a survey. The survey measured their perceived social support (PSS) exclusively from the peer group in the online community, their mental health, and newborns’ birth outcomes (N=500). Users reported high score in PSS from the online peer group which was comparable to the ones from family, significant other, and friends in other studies. We used linear regression models to examine the effects of PSS on mental health and birth outcomes. We found that a one-point increase in the PSS score was associated with a 0.19-point (p<0.1) decrease in the prenatal depression and a 0.26-point (p< 0.01) decrease in the postnatal depression, which were equivalent to 3% and 4.5% of the average, respectively. Moreover, a one-point increase in the PSS score was associated with a 14.49-gram increase in a newborn’s weight (p<0.01).
Item Type: | Article |
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DOI/Identification number: | 10.1111/hsc.14075 |
Uncontrolled keywords: | maternal mental health, perceived social support, online community, peer groups. |
Subjects: | H Social Sciences > HF Commerce > HF5351 Business |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Funders: |
University of Kent (https://ror.org/00xkeyj56)
University of Essex (https://ror.org/02nkf1q06) |
Depositing User: | Zhen Zhu |
Date Deposited: | 05 Oct 2022 08:38 UTC |
Last Modified: | 05 Nov 2024 13:02 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/97284 (The current URI for this page, for reference purposes) |
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