Evidence map›Paper›PMID 32759877›Full record

ArticleInternational journal of environmental research and public health2020

Factors Associated with Mental Health Results among Workers with Income Losses Exposed to COVID-19 in China.

Xin Li, Peixin Lu, Lianting Hu, Tianhui Huang, Long Lu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 7 pooled it
4.6field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 7 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  5. Prevalence of post-traumatic stress symptoms among people influenced by coronavirus disease 2019 outbreak: A meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2021
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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

5 authors at 1 institution in 1 country.

Xin LiSchool of Information Management, Wuhan University, Wuhan 430072, China.
Peixin LuSchool of Information Management, Wuhan University, Wuhan 430072, China.
Lianting HuSchool of Information Management, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-4573-3809
Tianhui HuangSchool of Information Management, Wuhan University, Wuhan 430072, China.
Long LuSchool of Information Management, Wuhan University, Wuhan 430072, China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak and worldwide spread of COVID-19 has resulted in a high prevalence of mental health problems in China and other countries. This was a cross-sectional study conducted using an online survey and face-to-face interviews to assess mental health problems and the associated factors among Chinese citizens with income losses exposed to COVID-19. The degrees of the depression, anxiety, insomnia, and distress symptoms of our participants were assessed using the Chinese versions of the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Insomnia Severity Index-7 (ISI-7), and the revised 7-item Impact of Event Scale (IES-7) scales, respectively, which found that the prevalence rates of depression, anxiety, insomnia, and distress caused by COVID-19 were 45.5%, 49.5%, 30.9%, and 68.1%, respectively. Multivariable logistic regression analysis was performed to identify factors associated with mental health outcomes among workers with income losses during COVID-19. Participants working in Hubei province with heavy income losses, especially pregnant women, were found to have a high risk of developing unfavorable mental health symptoms and may need psychological support or interventions.

Indexed as

IncomeMental HealthAdultAnxiety DisordersBetacoronavirusChinaCoronavirus InfectionsCOVID-19Cross-Sectional StudiesDepressionFemaleHumansMalePandemicsPneumonia, ViralPregnancyanxietyCOVID-19depressiondistressincome lossesinsomnia

Identifiers

PMID32759877
PMCPMC7432610
OpenAlexW3046921219

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.