Cargando…
Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India
Objective This study was conducted to assess the traumatic impact of the second wave of coronavirus disease 2019 (COVID-19) pandemic on depression, anxiety, stress, sleep quality, mental well-being, and resilience among the general population of India. Methods An online cross-sectional survey was co...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364738/ https://www.ncbi.nlm.nih.gov/pubmed/34414046 http://dx.doi.org/10.7759/cureus.16420 |
_version_ | 1783738576732684288 |
---|---|
author | Kaur, Tanveer Ranjan, Piyush Chakrawarty, Avinash Kasi, Keerthana Berry, Parul Suryansh, Suryansh Mazumder, Archisman Khan, Munnoo Upadhyay, Ashish D Kaloiya, Gaurishanker Sarkar, Siddharth Prasad, Vijay B |
author_facet | Kaur, Tanveer Ranjan, Piyush Chakrawarty, Avinash Kasi, Keerthana Berry, Parul Suryansh, Suryansh Mazumder, Archisman Khan, Munnoo Upadhyay, Ashish D Kaloiya, Gaurishanker Sarkar, Siddharth Prasad, Vijay B |
author_sort | Kaur, Tanveer |
collection | PubMed |
description | Objective This study was conducted to assess the traumatic impact of the second wave of coronavirus disease 2019 (COVID-19) pandemic on depression, anxiety, stress, sleep quality, mental well-being, and resilience among the general population of India. Methods An online cross-sectional survey was conducted in May-June, 2021 via Google Forms, which included adult individuals who were willing to participate in the study. The purposive and snowball sampling technique was used to ensure the principle of maximum diversity. Standardised tools [Depression Anxiety and Stress Scale (DASS), Pittsburgh Sleep Quality Index (PSQI), Impact of Event-Revised (IES-R), Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS), and the Brief Resilience Scale (BRS)] were used to collect data. Results A total of 1,109 responses were analysed for this study. Participants of different age groups (mean age: 32.98 ±14.72 years) and different sociodemographics were enrolled. The younger population group (18-34 years) was found to be the most affected among all the age groups. The findings revealed that 44.18% showed posttraumatic stress disorder (PTSD)-like symptoms. About 48.87%, 65.56%, and 22.09% of the participants had significant depression, anxiety, and stress symptoms respectively, and 11.27% had disturbed sleep patterns. Mental well-being was found to be disturbed for 74.75% of the study population, out of which only 4.15% showed high resilience capacity. Conclusion The associated collective psychological trauma mapped out by this paper is a pandemic in itself and needs to be addressed on a scale similar to the efforts being made to curb the physical symptoms of COVID-19. |
format | Online Article Text |
id | pubmed-8364738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-83647382021-08-18 Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India Kaur, Tanveer Ranjan, Piyush Chakrawarty, Avinash Kasi, Keerthana Berry, Parul Suryansh, Suryansh Mazumder, Archisman Khan, Munnoo Upadhyay, Ashish D Kaloiya, Gaurishanker Sarkar, Siddharth Prasad, Vijay B Cureus Family/General Practice Objective This study was conducted to assess the traumatic impact of the second wave of coronavirus disease 2019 (COVID-19) pandemic on depression, anxiety, stress, sleep quality, mental well-being, and resilience among the general population of India. Methods An online cross-sectional survey was conducted in May-June, 2021 via Google Forms, which included adult individuals who were willing to participate in the study. The purposive and snowball sampling technique was used to ensure the principle of maximum diversity. Standardised tools [Depression Anxiety and Stress Scale (DASS), Pittsburgh Sleep Quality Index (PSQI), Impact of Event-Revised (IES-R), Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS), and the Brief Resilience Scale (BRS)] were used to collect data. Results A total of 1,109 responses were analysed for this study. Participants of different age groups (mean age: 32.98 ±14.72 years) and different sociodemographics were enrolled. The younger population group (18-34 years) was found to be the most affected among all the age groups. The findings revealed that 44.18% showed posttraumatic stress disorder (PTSD)-like symptoms. About 48.87%, 65.56%, and 22.09% of the participants had significant depression, anxiety, and stress symptoms respectively, and 11.27% had disturbed sleep patterns. Mental well-being was found to be disturbed for 74.75% of the study population, out of which only 4.15% showed high resilience capacity. Conclusion The associated collective psychological trauma mapped out by this paper is a pandemic in itself and needs to be addressed on a scale similar to the efforts being made to curb the physical symptoms of COVID-19. Cureus 2021-07-16 /pmc/articles/PMC8364738/ /pubmed/34414046 http://dx.doi.org/10.7759/cureus.16420 Text en Copyright © 2021, Kaur et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Family/General Practice Kaur, Tanveer Ranjan, Piyush Chakrawarty, Avinash Kasi, Keerthana Berry, Parul Suryansh, Suryansh Mazumder, Archisman Khan, Munnoo Upadhyay, Ashish D Kaloiya, Gaurishanker Sarkar, Siddharth Prasad, Vijay B Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India |
title | Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India |
title_full | Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India |
title_fullStr | Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India |
title_full_unstemmed | Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India |
title_short | Association of Sociodemographic Parameters With Depression, Anxiety, Stress, Sleep Quality, Psychological Trauma, Mental Well-Being, and Resilience During the Second Wave of COVID-19 Pandemic: A Cross-Sectional Survey From India |
title_sort | association of sociodemographic parameters with depression, anxiety, stress, sleep quality, psychological trauma, mental well-being, and resilience during the second wave of covid-19 pandemic: a cross-sectional survey from india |
topic | Family/General Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364738/ https://www.ncbi.nlm.nih.gov/pubmed/34414046 http://dx.doi.org/10.7759/cureus.16420 |
work_keys_str_mv | AT kaurtanveer associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT ranjanpiyush associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT chakrawartyavinash associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT kasikeerthana associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT berryparul associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT suryanshsuryansh associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT mazumderarchisman associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT khanmunnoo associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT upadhyayashishd associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT kaloiyagaurishanker associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT sarkarsiddharth associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia AT prasadvijayb associationofsociodemographicparameterswithdepressionanxietystresssleepqualitypsychologicaltraumamentalwellbeingandresilienceduringthesecondwaveofcovid19pandemicacrosssectionalsurveyfromindia |