Home|Journals|Articles by Year|Audio Abstracts
 

Original Research

RMJ. 2023; 48(4): 964-967


Predictors of mental health problems in university students

Yousaf Jamal, Sayyeda Taskeen Zahra.




Abstract

Objective: To explore the predictive relationship of mindfulness and resilience with mental health problems.
Methodology: A sample of 411 university students (51% boys and 49% girls), aged 18-25 year (mean 20.90±2.01) were recruited through multistage sampling technique. Five Facet Mindfulness Questionnaire Short Form, Connor Davidson Resilience Scale, and Depression, Anxiety Stress Scale were used to measure mindfulness, resilience, and mental health problems.
Results: Mindfulness and resilience accounted for a 14% variance on anxiety and stress, and 13% variance on depression. Mindfulness emerged as a significant predictor of depression, anxiety, and stress.
Conclusion: These findings have implications for the counseling and training of university students.

Key words: Resilience, mindfulness, depression, anxiety, stress.






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.