Evidence map›Paper›PMID 34629997›Full record

ArticleInternational journal of mental health and addiction2023

A Psychometric Analysis of Fear of COVID-19 Scale in India.

Remya Lathabhavan

Abstract read
In one paragraph

Article in International journal of mental health and addiction, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
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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

1 author.

Remya LathabhavanDepartment of Technology Management, VIT University, Vellore, India.ORCID 0000-0002-4666-4748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has had a serious negative impact on the mental health of people around the world. The present study analyses the psychometric properties of Fear of COVID-19 Scale (FCV-19S) in the Indian context. The study checks the one-factor and two-factor structures of the measure. Data were collected from 992 respondents from India. Structural equation modeling was performed to check the construct validity after checking the factorial validity, reliability, and model fit. Both one-factor and two-factor models had good psychometric properties. FCV-19S had significant relationships with stress and wellbeing. This study can serve as a reference to practitioners and researchers to understand and analyze fear of COVID among individuals and thus to support the mental health wellbeing during the pandemic.

Indexed as

COVID-19Fear of COVID-19Mental healthPsychometric analysis

Identifiers

PMID34629997
PMCPMC8489367

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.