# Health and disability – a multi-group latent class analysis of the World Health Organization Disability Assessment Schedule 2.0 among those with mental and physical health conditions

## TL;DR

This study uses a disability assessment tool to identify different disability profiles among people with mental and physical health conditions and how these profiles relate to sociodemographic factors.

## Contribution

The study introduces a disability typology using WHODAS 2.0 across mental and physical health groups, revealing consistent patterns with varying class memberships.

## Key findings

- A five-class disability model was identified as the best fit across four health conditions.
- Disability class structure was consistent across diagnostic groups, but class membership varied.
- Sociodemographic factors like ethnicity, education, and employment were significantly associated with disability class membership.

## Abstract

This study aims to identify disability classes among people with schizophrenia spectrum disorder, depression, anxiety or diabetes via the WHODAS 2.0; investigate the invariance of disability patterns among the four diagnostic groups; and examine associations between disability classes and sociodemographic variables.

Patients seeking treatment for schizophrenia spectrum disorder, depression, anxiety or diabetes (n=1076) were recruited. Latent class analysis was used to identify disability classes based on WHODAS 2.0 responses. Measurement invariance was tested using multi-group latent class analysis. Associations between classes and sociodemographic variables were tested via multinomial logistic regression.

A five-class solution was identified; examination of model invariance showed that the partially constrained five-class model was most appropriate, suggesting that class structure was consistent while class membership differed across diagnostic groups. Finally, significant associations were found between class membership and ethnicity, education level, and employment status.

The results show the feasibility of using the WHODAS 2.0 to identify and compare different disability classes among people with mental or physical conditions and their sociodemographic correlates. Establishing a typology of different disability profiles will help guide research and treatment plans that tackle not just clinical but also functional aspects of living with either a chronic psychiatric or physical condition.