Evidence map›Paper›PMID 39190710›Full record

ArticlePloS one2024

Public perception on face mask wearing during COVID-19 pandemic in Malaysia: A cross sectional study.

Muhammad Zubir Yusof, Nur Faza Zinnirah Fadzil, Nik Nur Niska Azlin Kamaruzi, Maya Syazana Syamimi Ayazi

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 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

4 authors.

Muhammad Zubir YusofDepartment of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.ORCID 0000-0003-2610-146X
Nur Faza Zinnirah FadzilDepartment of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.
Nik Nur Niska Azlin KamaruziDepartment of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.
Maya Syazana Syamimi AyaziDepartment of Community Medicine, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the emergence of COVID-19, the Malaysian government has made wearing a face mask in public mandatory since August 1, 2020, as an effort by the government to control the transmission of COVID-19. However, Malaysians' willingness to wear face masks in public is unknown.

objectiveThus, this study aimed to evaluate their perception of face mask wearing during COVID-19 and its contributing factors. METHODOLOGY: A total of 1024 respondents, aged ≥ 18 years, participated in this online cross-sectional survey from October 2021 to December 2021. The Face Mask Perception Scale (FMPS) was used to measure their perceptions.

resultsMost of the respondents perceived wearing a face mask as uncomfortable. Our findings also revealed statistically significant differences and a small effect (f2 = 0.04) in which respondents who were concerned about being infected by the virus perceived face mask wearing appearance positively (B = - 0.09 units of log-transformed, 95% CI = - 0.15, - 0.04), whereas married respondents perceived it negatively (B = 0.07 units of log-transformed, 95% CI = 0.03, 0.09). There were no statistically significant differences in other domains of FMPS.

conclusionIn conclusion, discomfort was a major complaint. Marital status and fear of COVID-19 infection affected their perceptions. The public health implications of these findings highlight the importance of addressing discomfort and societal perceptions, particularly those influenced by factors such as marital status and COVID-19 experience, to promote widespread acceptance and consistent usage of face masks, which is crucial in mitigating the spread of COVID-19.

Indexed as

COVID-19MasksPandemicsSARS-CoV-2AdolescentAdultAgedCross-Sectional StudiesFemaleHumansMalaysiaMaleMiddle AgedPerceptionSurveys and QuestionnairesYoung Adult

Identifiers

PMID39190710
PMCPMC11349217

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.