title: Psychometric properties and a latent class analysis of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) in a pooled dataset of community samples.
abstract: The 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a brief measurement tool used cross-culturally to capture the multi-dimensional nature of disablement through six domains, including: understanding and interacting with the world; moving and getting around; self-care; getting on with people; life activities; and participation in society. Previous psychometric research supports that the WHODAS 2.0 functions as a general factor of disablement. In a pooled dataset from community samples of adults (N = 447) we used confirmatory factor analysis to confirm a one-factor structure. Latent class analysis was used to identify subgroups of individuals based on their patterns of responses. We identified four distinct classes, or patterns of disablement: (1) pervasive disability; (2) physical disability; (3) emotional, cognitive, or interpersonal disability; (4) no/low disability. Convergent validity of the latent class subgroups was found with respect to socio-demographic characteristics, number of days affected by disabilities, stress, mental health, and substance use. These classes offer a simple and meaningful way to classify people with disabilities based on the 12-item WHODAS 2.0. Focusing on individuals with a high probability of being in the first three classes may help guide interventions.
authors.affiliation: Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, London, Ontario, Canada.|Region of Waterloo Public Health and Emergency Services, Waterloo, Ontario, Canada.
authors.forename: Melissa A
authors.initials: MA
authors.lastname: MacLeod
authors.affiliation: Department of Psychology, Western University, London, Ontario, Canada.
authors.forename: Paul F
authors.initials: PF
authors.lastname: Tremblay
authors.affiliation: Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, London, Ontario, Canada.|Department of Psychology, Western University, London, Ontario, Canada.|Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.|National Drug Research Institute, Curtin University, Perth, Western Australia, Australia.|School of Psychology, Faculty of Health, Deakin University, Victoria, Australia.
authors.forename: Kathryn
authors.initials: K
authors.lastname: Graham
authors.affiliation: Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, London, Ontario, Canada.
authors.forename: Sharon
authors.initials: S
authors.lastname: Bernards
authors.affiliation: Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.|Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.|Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.|PAHO/WHO Collaborating Centre for Mental Health & Addiction, Toronto, Ontario, Canada.|Epidemiological Research Unit, Technische Universitat Dresden, Klinische Psychologie & Psychotherapie, Dresden, Germany.|Graduate Department of Community Health and Institute of Medical Science, University of Toronto, Toronto, Canada.
authors.forename: Jürgen
authors.initials: J
authors.lastname: Rehm
authors.affiliation: Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, London, Ontario, Canada.|Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.|School of Psychology, Faculty of Health, Deakin University, Victoria, Australia.|Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
authors.forename: Samantha
authors.initials: S
authors.lastname: Wells
mesh_terms: D000328:Adult; D004185:Disability Evaluation; D006233:Persons with Disabilities; D005163:Factor Analysis, Statistical; D006801:Humans; D011594:Psychometrics / Q000295:instrumentation*; D014944:World Health Organization
keywords: WHODAS; confirmatory factor analysis (CFA); disability; latent class analysis (LCA)