Evidence map›Paper›PMID 39310006›Full record

ArticleJournal of education and health promotion2024

Impact of COVID-19 pandemic on the mental health status among general masses: An in-deep analysis of the worst "hitters" of COVID-19 pandemic.

Priyadarshni Rangarajan, Shaik F Sultana, Kurian Punnoose, Hina Ahmed, Gautam Singh, V Kiruthika, Suresh J Babu, C Swarnalatha, Abhishek Singh Nayyar

Abstract read
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Article in Journal of education and health promotion, 2024. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Priyadarshni RangarajanDepartment of Dentistry, Annaii Medical College and Hospital (To be Renamed as Rajalakshmi Medical College Hospital and Research Centre), Kanchipuram, Tamil Nadu, India.
Shaik F SultanaFormer Intern, Rajiv Gandhi Institute of Medical Sciences, Srikakulam, Andhra Pradesh, India.
Kurian PunnooseDepartment of Oral and Maxillofacial Surgery, College of Dentistry, University of Ha'il, Ha'il, Kingdom of Saudi Arabia.
Hina AhmedDepartment of Conservative Dental Sciences, Ibn Sina National College for Medical Studies, Jeddah, Kingdom of Saudi Arabia.
Gautam SinghDepartment of Conservative Dental Sciences, Ibn Sina National College for Medical Studies, Jeddah, Kingdom of Saudi Arabia.
V KiruthikaDepartment of Oral Medicine and Radiology, Nandha Dental College and Hospital, Erode, Tamil Nadu, India.
Suresh J BabuDivision of Periodontology, Department of Preventive Dental Sciences, College of Dentistry, University of Ha'il, Ha'il, Kingdom of Saudi Arabia.
C SwarnalathaDivision of Periodontology, Department of Preventive Dental Sciences, College of Dentistry, University of Ha'il, Ha'il, Kingdom of Saudi Arabia.
Abhishek Singh NayyarDepartment of Oral Medicine and Radiology, Saraswati Dhanwantari Dental College and Hospital and Post-graduate Research Institute, Parbhani, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA plethora of studies have reported the adverse psychiatric outcomes among the general masses during the COVID-19 pandemic; however, not much data is available in relation to the Indian population from this perspective. The aim of the present study was to investigate the impact of the COVID-19 pandemic on the mental health status among the general masses in the Indian population. MATERIALS AND

methodsThe present study was planned in a cross-sectional study design between July 2020 and October 2021 in which a well-structured questionnaire, consisting of questions assessing the sociodemographic profile, while, also, specific questions related to the stress and anxiety-related variables, was used. The questionnaire was validated through intra-class correlation with a strong correlation of 0.84. The Chi-square test was used for statistical analysis to test the association between the studied variables, while

resultsOn comparison between the male and female participants using stress and anxiety-related variables, 43.81% of males as against 56.19% of the female participants reported that they felt horrified due to the pandemic with the results being statistically highly significant (

conclusionThe research findings of the present study indicated that men and women responded to stress differently, with women experiencing greater sadness and anxiety and were found to be at a relatively greater risk for developing anxiety and depression than men.

Indexed as

AnxietyCOVID-19 pandemicdepressionmental healthpost-traumatic stress disorderSARS-CoV-2

Identifiers

PMID39310006
PMCPMC11414858

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LicenceCC BY-NC-SA
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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.