Evidence map›Paper›PMID 35846496›Full record

ArticleThe Malaysian journal of medical sciences : MJMS2022

Validation of the Malay Version of the COVID-19 Anxiety Scale in Malaysia.

Chin Siang Ang, Kai Wei Lee, Meng Chuan Ho, Siok Ping Voon, Siew Mooi Ching, Chai Eng Tan, Fan Kee Hoo, Pei Boon Ooi

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Article in The Malaysian journal of medical sciences : MJMS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 6 institutions in 3 countries.

Chin Siang AngSchool of Psychology, TMC Academy, Singapore.
Kai Wei LeeDepartment of Pre-Clinical Sciences, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Selangor, Malaysia.
Meng Chuan HoDepartment of General Studies, Faculty of Social Sciences and Liberal Arts, UCSI University, Kuala Lumpur, Malaysia.
Siok Ping VoonProgramme of Psychology, Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak, Sarawak, Malaysia.
Siew Mooi ChingDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
Chai Eng TanDepartment of Family Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Fan Kee HooDepartment of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
Pei Boon OoiDepartment of Medical Sciences, School of Medical and Life Sciences, Sunway University, Selangor, Malaysia.
Universiti Putra Malaysia · MYNanyang Technological University · SGNational University of Malaysia · MYSunway University · MYUCSI University · MYUniversiti Tunku Abdul Rahman · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaysians are disillusioned with the increased number of COVID-19 infection cases and the prolonged lockdown period. As a result of COVID-19 mitigation measurements, Malaysians are experiencing emotional and psychological consequences such as anxiety. Thus, there is an urgent need to have an instrument that could serve as a tool to assess the psychological impact of COVID-19 among Malaysians rapidly. Methods: This study aimed to adapt and validate the Malay version of the COVID-19 Anxiety Scale (M-CAS) among Malaysian adults. The back-to-back translation was done to produce a M-CAS. Following face validation, M-CAS was self-administered to 225 participants from Malaysia via an online survey. The participants also completed the Generalised Anxiety Disorder 7-item Scale (GAD-7), World Health Organization Quality of Life Scale, Abbreviated Version (WHOQOL-BREF) and the Fear of COVID-19 Scale (FCV-19S). Data analysis was conducted using Statistical Package for the Social Sciences and Analysis of a Moment Structures. The psychometric properties of the M-CAS were examined via Cronbach alpha and confirmatory factor analysis. M-CAS scores were compared with the other tools to provide external validity. Results: The statistical analysis revealed that the M-CAS demonstrated adequate internal consistency (Cronbach's alpha = 0.890) and presented with a unidimensional factor structure. M-CAS scores were strongly correlated with GAD-7 ( Conclusion: The M-CAS is a valid and reliable tool in the Malay language that can be self-administered among Malaysians to assess anxiety levels induced by COVID-19. The M-CAS has only 7 items and utilised little time in real-life clinical practice.

Indexed as

COVID-19 Anxiety ScaleMalayMalaysiapsychometric propertiesreliabilityvalidation

Identifiers

PMID35846496
PMCPMC9249424
OpenAlexW4285813201

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Registered trials

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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.