A quantitative approach to the intersectional study of mental health inequalities during the COVID-19 pandemic in UK young adults.

ABSTRACT:

Purpose

Mental health inequalities across social identities/positions during the COVID-19 pandemic have been mostly reported independently from each other or in a limited way (e.g., at the intersection between age and sex or gender). We aim to provide an inclusive socio-demographic mapping of different mental health measures in the population using quantitative methods that are consistent with an intersectional perspective.

Methods

Data included 8,588 participants from two British cohorts (born in 1990 and 2000-2002, respectively), collected in February/March 2021 (during the third UK nationwide lockdown). Measures of anxiety and depressive symptomatology, loneliness, and life satisfaction were analysed using Multilevel Analysis of Individual Heterogeneity and Discriminatory

SUBMITTER: Moreno-Agostino D 

PROVIDER: S-EPMC9872068 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature