594
Views
0
CrossRef citations to date
0
Altmetric
Articles

Impact of COVID-19 on mental health of employed women residing in Delhi-NCR, India: Mediating role of working from-for home

ORCID Icon
Pages 323-334 | Received 17 Dec 2020, Accepted 24 Jan 2021, Published online: 01 Mar 2021
 

Abstract

Women, who are “supposed” to do all their official and household work are now required to do all of it simultaneously because of lockdown amid covid-19. I did this study to analyze the perceived stress and depressive tendencies among the non-clinical population of employed women residing in Delhi-NCR and whether work from-for home is acting as a mediator between the two. Further, marital status and family status were also taken into consideration. A sample of two-hundred-three responses depicted that there is a significant and positive correlation between perceived stress and depressive tendencies. Further, working from-for home significantly acts as a mediator between the two variables. Moreover, there is no significant interaction between family status and working from-for home on depressive tendencies. However, there is a significant interaction between marital status and working from-for home on depressive tendencies. The implications, limitations, and future suggestions are discussed in the end.

Acknowledgments

I would like to thank all the participants who gave their time to this research.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 281.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.