Publication Cover
Social Work Education
The International Journal
Volume 35, 2016 - Issue 1
2,354
Views
29
CrossRef citations to date
0
Altmetric
Articles

Stress, Anxiety, Resilience and Coping in Social Work Students (A Study from India)

&
Pages 78-88 | Received 24 Jun 2015, Accepted 05 Nov 2015, Published online: 15 Dec 2015
 

Abstract

Social work is a stressful occupation but continues to attract large numbers of students every year. This study was conducted by undergraduate students of all three cohorts at a women’s-only college in Tiruchirapalli in South India (N = 73). Standardised instruments to assess stress, anxiety, resilience and coping were administered. It was seen that anxiety and stress levels were relatively higher in the first- and third-year students while compared to those in the second year of their course, while resilience and coping was relatively low in the first-year group. Correlations were significantly positive for the stress and anxiety scores as well as the coping and resilience scores. However, it was seen that only the anxiety scores significantly predicted the manifestation of stress in the students. Implications of the findings and the limitations of the study have also been discussed.

Acknowledgement

The authors thank the Principal (Dr. V. Sujatha) and the Head of the Social Work Department (Dr. G. Kanaga) of Cauvery College for Women, Tiruchirappalli, India for enabling the execution of this study.

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 529.00 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.