Mental Health Among Graduate during Covid 19: A Case of Muzaffarpur District of Bihar

The COVID-19 pandemic severely impacted college students' mental health, especially in Muzaffarpur, Bihar, where mental health resources are poor. This study examines how stress, anxiety, sadness, loneliness, and resilience affect students' mental health. Quantitative data was collected from 400 college students utilising standardised psychological exams. Mental health was negatively correlated with stress, anxiety, sadness, and loneliness, whereas resilience was positively correlated with well-being. Multiple regression analysis revealed anxiety (-0.0728) as the largest harmful influence, followed by depression (-0.0523), stress (-0.0457), and resilience (+0.0306) as a protective factor. The model explained 40% of mental health evaluations (R2=0.40), emphasising the need for targeted interventions. Resilience-building, stress-management, and social engagement activities are needed to reduce student psychological distress. This study provides empirical data for policymakers and educators to create student-centered mental health treatments, improving mental health research.

Authors

Publication Details

Journal
Anusandhanvallari
Published
2025-07-19
DOI
https://doi.org/10.52783/anuval.312
Primary Topic
COVID-19 and Mental Health
Type
article
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article

Mental Health Among Graduate during Covid 19: A Case of Muzaffarpur District of Bihar

Neha Singh
Anusandhanvallari
COVID-19 and Mental Health
article

Mental Health Among Graduate during Covid 19: A Case of Muzaffarpur District of Bihar

Neha Singh
article en

Abstract

The COVID-19 pandemic severely impacted college students' mental health, especially in Muzaffarpur, Bihar, where mental health resources are poor. This study examines how stress, anxiety, sadness, loneliness, and resilience affect students' mental health. Quantitative data was collected from 400 college students utilising standardised psychological exams. Mental health was negatively correlated with stress, anxiety, sadness, and loneliness, whereas resilience was positively correlated with well-being. Multiple regression analysis revealed anxiety (-0.0728) as the largest harmful influence, followed by depression (-0.0523), stress (-0.0457), and resilience (+0.0306) as a protective factor. The model explained 40% of mental health evaluations (R2=0.40), emphasising the need for targeted interventions. Resilience-building, stress-management, and social engagement activities are needed to reduce student psychological distress. This study provides empirical data for policymakers and educators to create student-centered mental health treatments, improving mental health research.

Anusandhanvallari
Openalex Percentile: Top 59%
COVID-19 and Mental Health
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Mental Health Among Graduate during Covid 19: A Case of Muzaffarpur District of Bihar — Neha Singh · Anusandhanvallari (2025) | TGRS Research Map | TGRS