Evidence map›Paper›PMID 33723493›Full record

ArticleEuropean journal of integrative medicine2021

The physical and mental health of the medical staff in Wuhan Huoshenshan Hospital during COVID-19 epidemic: A Structural Equation Modeling approach.

Jinyao Wang, Danhong Li, Xiumei Bai, Jun Cui, Lu Yang, Xin Mu, Rong Yang

Open access · greenAbstract read
In one paragraph

Article in European journal of integrative medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Jinyao WangSichuan University, West China Hospital, CHINA.
Danhong LiSichuan University, West China Hospital, CHINA.
Xiumei BaiSichuan University, West China Hospital, CHINA.
Jun CuiSichuan University, West China Hospital, CHINA.
Lu YangSichuan University, West China Hospital, CHINA.
Xin MuSichuan University, West China Hospital, CHINA.
Rong YangSichuan University, West China Hospital, CHINA.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly in the epidemic of coronavirus disease 2019, the Chinese government recruited a proportion of healthcare workers to support the designated hospital (Huoshenshan Hospital) in Wuhan, China. The majority of front-line medical staff suffered from adverse effects, but their real health status during COVID-19 epidemic was still unknown. The aim of the study was to explore the latent relationship of the physical and mental health of front-line medical staff during this special period.

methodsA total of 115 military medical staff were recruited between February 17th and February 29th, 2020 and asked to complete questionnaires assessing socio-demographic and clinical characteristics, self-reported sleep status, fatigue, resilience and anxiety.

results55 medical staff worked within Intensive Care and 60 worked in Non-intensive Care, the two groups were significantly different in reported general fatigue, physical fatigue and tenacity (

conclusionDuring an explosive pandemic situation, motivating the effect of protective resilience and taking tailored interventions against fatigue are promising ways to protect the physical and mental health of the front-line medical staff.

Indexed as

AGFI, The adjusted goodness-of fit-indexANOVA, Analysis of varianceAnxietyCD-RISC, The Connor-Davidson Resilience ScaleCFI, The comparative fit indexCOVID-19COVID-19, Coronavirus Disease 2019FatigueFront-line medical staffGF, General FatigueGFI, The goodness-of-fit indexIFI, The incremental fit indexMFI-20, The Multidimensional Fatigue InventoryMF, Mental FatigueNFI, The normal fit indexPCFI, The parsimany-adjusted comparative fit indexPF, Physical FatiguePNFI, The parsimany-adjusted normal fit indexRA, Reduced ActivityResilienceRM, Reduced MotivationRMSEA, The root mean square error of approximationSARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2SARS, Severe acute respiratory syndromeSAS, The Self-Rating Anxiety ScaleSEM, Structural equation modelingSRSS, The Self-Rating Scale of SleepStructural equation modelingTLI, The Tucker-Lewis indexWHO, World Health Organization

Identifiers

PMID33723493
PMCPMC7944805
OpenAlexW3138857731

What OpenQuestion holds

Textmetadata
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.