# Quality of Life and Its Biopsychosocial Determinants: A Study Among the Yadav Community From Delhi, India

## TL;DR

This study examines how mental and physical health factors affect the quality of life among the Yadav community in Delhi, finding significant negative impacts from stress, depression, and hypertension.

## Contribution

The study provides insights into biopsychosocial determinants of quality of life specific to the Yadav community in Delhi.

## Key findings

- Mental disorders like stress and depression significantly decrease quality of life scores across all domains.
- Hypertension is associated with lower quality of life scores compared to normal individuals.
- Women reported lower quality of life than men, and the social domain showed the highest quality of life.

## Abstract

Introduction

The COVID-19 pandemic has not only affected the physical and mental health of people but has also had a detrimental impact on their quality of life (QoL). Therefore, ways to improve the QoL must be promoted for the overall well-being of individuals and society. The present study aims to assess the status of QoL and understand its association with physical and mental variables among the Yadav community of Delhi.

Methods

A cross-sectional study was conducted among 600 participants aged 18 to 55 years. Participants were recruited based on inclusion criteria, that is, individuals aged between 18 and 55 years, residing in Delhi, belonging to the Yadav community, and exclusion criteria, that is, pregnant females, lactating mothers, and individuals with any chronic illness or suffering from COVID-19. Data were analyzed in IBM SPSS Statistics for Windows, Version 22 (Released 2013; IBM Corp., Armonk, New York) using various descriptive and inferential statistics.

Results

Mental disorders were found to have a negative impact on QoL. The participants detected with higher levels of stress and depression reported a significant decrease in their scores (p ≤ 0.001) across all the domains of QoL. Hypertensive individuals have significantly lower mean scores than normal individuals across all domains. The regression analysis revealed that all these predictors have a negative impact on QoL. The present study indicated that women have a lower QoL than men. Among the four domains of QoL, the participants in the social domain had the highest proportion of good QoL, followed by the environmental domain.

Conclusion

This study reveals that the predictors of physical and mental health adversities have a negative association with QoL, and the results were significant across all the domains. It affects an individual's overall well-being, leading to decreased productivity, work-life balance, and happiness. The status of QoL among the participants was poor in the psychological domain and good in the social domain. Intervention programs based on diverse sociocultural practices should be targeted toward improving QoL by understanding the health needs and risks of different communities in Delhi.