Evidence map›Paper›PMID 34762065›Full record

ArticleJMIR medical informatics2022

Effects of Social Media Use for Health Information on COVID-19-Related Risk Perceptions and Mental Health During Pregnancy: Web-Based Survey.

Qian Wang, Luyao Xie, Bo Song, Jiangli Di, Linhong Wang, Phoenix Kit-Han Mo

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.3field-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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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  10. Social Media, Anxiety and COVID-19 Lockdown Measurement Compliance.International journal of environmental research and public health · 2023
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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

6 authors at 3 institutions in 2 countries.

Qian WangNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing City, China.ORCID https://orcid.org/0000-0002-9674-4914
Luyao XieCenter for Health Behaviours Research, Faculty of Medicine, School of Public Health and Primary Care, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-5509-3732
Bo SongNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing City, China.ORCID https://orcid.org/0000-0002-0161-1052
Jiangli DiNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing City, China.ORCID https://orcid.org/0000-0002-5006-1800
Linhong WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing City, China.ORCID https://orcid.org/0000-0002-9541-3654
Phoenix Kit-Han MoCenter for Health Behaviours Research, Faculty of Medicine, School of Public Health and Primary Care, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-9822-5424
National Center for Women and Children’s Health, China CDC · CNChinese University of Hong Kong · HKNational Center for Chronic and Noncommunicable Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media has become an important source of health information during the COVID-19 pandemic. Very little is known about the potential mental impact of social media use on pregnant women.

objectiveThis study aims to examine the association between using social media for health information and risk perception for COVID-19, worry due to COVID-19, and depression among pregnant women in China.

methodsA total of 4580 pregnant women were recruited from various provinces of China. The participants completed a cross-sectional, web-based survey in March 2020.

resultsMore than one-third (1794/4580, 39.2%) of the participants reported always using social media for obtaining health information. Results of structural equation modeling showed that the frequency of social media use for health information was positively associated with perceived susceptibility (β=.05; P<.001) and perceived severity (β=.12; P<.001) of COVID-19, which, in turn, were positively associated with worry due to COVID-19 (β=.19 and β=.72, respectively; P<.001). Perceived susceptibility (β=.09; P<.001), perceived severity (β=.08; P<.001), and worry due to COVID-19 (β=.15; P<.001) all had a positive association with depression. Bootstrapping analysis showed that the indirect effects of frequency of social media use for health information on both worry due to COVID-19 (β=.09, 95% CI 0.07-0.12) and depression (β=.05, 95% CI 0.02-0.07) were statistically significant.

conclusionsThis study provides empirical evidence on how social media use for health information might have a negative impact on the mental health of pregnant women. Interventions are needed to equip this population with the skills to use social media properly and with caution.

Indexed as

COVID-19depressionpregnantrisk perceptionsocial media useworry

Identifiers

PMID34762065
PMCPMC8796050
OpenAlexW3213046967

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.