Articles 2026-10-01 Peer Reviewed

Modeling Sociodemographic Disparities in Pandemic-Associated Mental Health: Evidence from National Health and Household Survey Data

Ananya Sharma • Rohan Mehta

Authors

  • Ananya Sharma
    Department of Public Health, Institute of Health Sciences, New Delhi, India
  • Rohan Mehta
    Department of Community Medicine, National Institute of Medical Research, Mumbai, India

Keywords

COVID-19 pandemic mental health disparities racial disparities

Abstract

The COVID-19 pandemic generated substantial psychological and social disruption across the United States, but its mental health consequences were not distributed uniformly across population groups. This research examines the socioeconomic, racial, ethnic, employment, food-security, and access-to-care dimensions associated with pandemic-related mental health disparities. Drawing exclusively on the provided national survey studies, government surveillance reports, and peer-reviewed literature, the paper develops an analytical framework for understanding how sociodemographic characteristics interact with pandemic stressors to influence psychological distress, depression, loneliness, emotional distress, suicidal ideation, and access to mental health services. The methodology integrates comparative evidence from the National Health Interview Survey, Household Pulse Survey-related analyses, national surveillance systems, and studies of employment and food insecurity. Particular attention is given to racial and ethnic disparities, socioeconomic stratification, employment-related income loss, household food insufficiency, social isolation, and differences in healthcare access. The synthesized evidence indicates that pandemic-associated mental health burden was strongly patterned by social position rather than being an evenly distributed population-level phenomenon. Racial and ethnic minority populations, economically vulnerable households, individuals experiencing employment instability, and groups facing barriers to healthcare access were disproportionately exposed to adverse mental health conditions. The analysis further demonstrates that socioeconomic disadvantage can operate as both an independent determinant and a pathway through which pandemic-related stress translates into psychological morbidity. The proposed modeling framework provides a multidimensional basis for interpreting pandemic mental health inequalities and supports targeted public-health interventions, equitable service delivery, and improved surveillance of vulnerable populations.

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