Evidence map›Paper›PMID 36256486›Full record

ArticleHealth & social care in the community2022

Maternal mental health and social support from online communities during pregnancy.

Lingqing Jiang, Zhen Zhu

Open access · hybridAbstract read
In one paragraph

Article in Health & social care in the community, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 19 citations in OpenAlex.

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  8. Nutrients · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Lingqing JiangDepartment of Economics, University of Essex, Colchester, UK.ORCID 0000-0001-7822-5769
Zhen ZhuKent Business School, University of Kent, Canterbury, UK.ORCID 0000-0003-0258-1454
University of Essex · GBUniversity of Kent · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 1 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 was 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).

Indexed as

Depression, PostpartumMental HealthFemaleHumansInfant, NewbornParturitionPeer GroupPregnancySocial Supportmaternal mental healthonline communitypeer groupsperceived social support

Identifiers

PMID36256486
PMCPMC10092248
OpenAlexW4306730979

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.