Evidence map›Paper›PMID 38428903›Full record

ArticleMedicine2024

Psychometric evaluation of the Chinese version of new fear of the coronavirus questionnaire.

PeiJia Zha, Crystal Zhang, Rubab Qureshi, GuiGui Cai, LiHong Huang, Yang Liu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 2 countries.

PeiJia ZhaDivision of Nursing Science, School of Nursing, Rutgers, the State University of New Jersey, Newark, NJ.ORCID 0000-0003-4864-692
Crystal ZhangPrinceton High School. Princeton, NJ.
Rubab QureshiDivision of Nursing Science, School of Nursing, Rutgers, the State University of New Jersey, Newark, NJ.ORCID 0000-0001-5914-8606
GuiGui CaiDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, China.
LiHong HuangDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, China.
Yang LiuDepartment of Nursing, School of Medicine, Xiamen University, Xiamen, China.ORCID 0000-0002-5453-5604
Xiamen University · CNRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fear of COVID-19 significantly impacting the health of people globally. This study translated newly developed measurement tool New Fear of the Coronavirus Questionnaire (New_FCQ) into Chinese language and evaluated the psychometric properties of the Chinese version of New_FCQ among Chinese population. A total of 522 participants were included in the study. Internal consistency, construct validity, criterion validity, and concurrent validity of the Chinese version of New_FCQ were assessed in this study. The Chinese version of New_FCQ had excellent internal consistency (α = 0.97) and exploratory factor analysis demonstrated one-dimensional structure of the Chinese version of New_FCQ. The preliminary criterion validity revealed statistically significant differences in the fear of COVID-19 scores based on age and education level (P = .002 and P = .03, respectively). The good concurrent validity also established with the Chinese version Fear of COVID-19 Scale(P < .001). Psychometric proportions of the Chinese version of New_FCQ were established, which exhibited sufficient validity and reliability among Chinese population.

Indexed as

CoronavirusCOVID-19FearHumansLanguagePsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID38428903
PMCPMC10906590
OpenAlexW4392766128

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.