Evidence map›Paper›PMID 34549098›Full record

ArticleClinical epidemiology and global health

Depression and anxiety in Malaysian population during third wave of the COVID-19 pandemic.

Roy Rillera Marzo, Vineet Vinay, Rafidah Bahari, Shekhar Chauhan, Deborah Anak Fo Ming, Stephanie Fernandez A/P Nelson Fernandez, Colin Cornelius Pereira Johnson, Agkesh Qumar A/L Thivakaran, Mohammad Meshbahur Rahman, Sonu Goel

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology and global health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
9.5field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  11. COVID-19: introduction of a new lifestyle and diet among the Malaysians.Bulletin of the National Research Centre · 2023
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  16. Prevalence and Predictors of Anxiety among Stable Hospitalized COVID-19 Patients in Malaysia.International journal of environmental research and public health · 2022
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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

10 authors at 7 institutions in 4 countries.

Roy Rillera MarzoDepartment of Community Medicine, International Medical School, Management and Science University, Selangor, 40100, Malaysia.
Vineet VinayDepartment of Public Health Dentistry, Sinhgad Dental College and Hospital, Pune, Maharashtra, India.
Rafidah BahariDepartment of Psychiatry, Faculty of Medicine, University of Cyberjaya, Malaysia.
Shekhar ChauhanInternational Institute for Population Sciences, Mumbai, India.
Deborah Anak Fo MingDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor Bahru, 81750, Malaysia.
Stephanie Fernandez A/P Nelson FernandezDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor Bahru, 81750, Malaysia.
Colin Cornelius Pereira JohnsonDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor Bahru, 81750, Malaysia.
Agkesh Qumar A/L ThivakaranDepartment of Community Medicine, Faculty of Medicine, Asia Metropolitan University, Johor Bahru, 81750, Malaysia.
Mohammad Meshbahur RahmanBiomedical Research Foundation (BRF), Dhaka, Bangladesh.
Sonu GoelSchool of Medicine, University of Limerick, Ireland.
Newcastle University Medicine Malaysia · MYBiomedical Research Foundation · BDInternational Institute for Population Sciences · INManagement and Science University · MYSinhgad Dental College and Hospital · INUniversity of Cyberjaya · MYUniversity of Limerick · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe outbreak of coronavirus posits deleterious consequences on global healthcare system while affecting human life in every aspect. Despite several measures undertaken to limit the socio-economic effect of coronavirus, various challenges remain pervasive, and one such challenge is mental health, particularly depression and anxiety. Therefore, this study examines the prevalence and determinants of depression and anxiety in Malaysian population during third wave of COVID-19.

methodsA cross-sectional online survey was carried out via social media platforms and 1544 Malaysians were selected. The level of depression was assessed by Patient Health Questionnaires (PHQ-9) and scored accordingly for categorization. Zung's Self-Rating Anxiety Scale (SAS) was used as a self-assessment survey to quantify the level of anxiety of persons experiencing anxiety-related symptoms. Percentage distribution and logistic regression analysis were used in the data analysis.

resultsResults showed that one-fourth (25.1%) of the participants had severe depressive symptoms. Almost one-sixth (18.7%) had mild depressive symptoms and one-third (34.1%) had mild to moderate anxiety symptoms. Age, gender, and friends infected with virus were the three important predictors of depression and anxiety. The odds of having depression (OR = 1.44; C·I. = 1.32-1.62) and anxiety (OR = 1.36; C·I. = 1.27-1.47) were significantly higher among females than in males.

conclusionA significant proportion of the study participants were facing mild to severe depression and anxiety symptoms which is very alarming as the pandemic is still now increasing across the country. Immediate interventions including community counselling programmes, TV and social media campaigns are urgently needed to reduce the psychological stress among the Malaysian population.

Indexed as

AnxietyCoronavirusDepressionPatient health questionnairesZung's self-rating anxiety scale

Identifiers

PMID34549098
PMCPMC8444444
OpenAlexW3200051941

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.