COVID-19 and psychological distress: Lessons for India
| Autor: | Himanshu Rai, Vaijayanthee Anand, Luv Verma, Aekta Aggarwal, Priyadarshini Nanjundappa |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
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Viral Diseases Epidemiology Economics Cross-sectional study Social Sciences Anxiety Psychological Distress Logistic regression Geographical Locations Medical Conditions Surveys and Questionnaires Medicine and Health Sciences Prevalence Psychology media_common Aged 80 and over Multidisciplinary Depression Middle Aged Clinical Psychology Distress Infectious Diseases Medicine Female medicine.symptom Research Article Adult medicine.medical_specialty Asia Social Psychology media_common.quotation_subject Science India Young Adult Social support Health Economics Mental Health and Psychiatry medicine Humans Pandemics Aged Cognitive Psychology Biology and Life Sciences COVID-19 Social Support Covid 19 Mental health Health Care Cross-Sectional Studies Medical Risk Factors People and Places Cognitive Science Stress Psychological Seriousness Neuroscience Health Insurance Demography |
| Zdroj: | PLoS ONE, Vol 16, Iss 8, p e0255683 (2021) PLoS ONE PLoS ONE, Vol 16, Iss 8 (2021) |
| ISSN: | 1932-6203 |
| Popis: | Purpose The COVID-19 pandemic has undoubtedly altered the routine of life and caused unanticipated changes resulting in severe psychological responses and mental health crisis. The study aimed to identify psycho-social factors that predicted distress among Indian population during the spread of novel Coronavirus. Method An online survey was conducted to assess the predictors of distress. A global logistic regression model was built, by identifying significant factors from individual logistic regression models built on various groups of independent variables. The prediction capability of the model was compared with the random forest classifier. Results The respondents (N = 1060) who are more likely to be distressed, are in the age group of 21-35 years, are females (OR = 1.425), those working on site (OR = 1.592), have pre-existing medical conditions (OR = 1.682), do not have health insurance policy covering COVID-19 (OR = 1.884), have perceived seriousness of COVID-19 (OR = 1.239), have lack of trust in government (OR = 1.246) and whose basic needs’ fulfillment are unsatisfactory (OR = 1.592). The ones who are less likely to be distressed, have higher social support and psychological capital. Random forest classifier correctly classified 2.3% and 17.1% of people under lower and higher distress respectively, with respect to logistic regression. Conclusions This study confirms the prevalence of high distress experienced by Indians at the time of COVID-19 and provides pragmatic implications for psychological health at macro and micro levels during an epidemiological crisis. |
| Databáze: | OpenAIRE |
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