Predicting quality of life in adults with severe mental illness: Extending the International Classification of Functioning, Disability, and Health

Jennifer Sánchez; David A Rosenthal; Timothy N Tansey; Michael P Frain; Jill L Bezyak

doi:10.1037/rep0000059

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Predicting quality of life in adults with severe mental illness: Extending the International Classification of Functioning, Disability, and Health

Journal article

Open access

Peer reviewed

Predicting quality of life in adults with severe mental illness: Extending the International Classification of Functioning, Disability, and Health

Jennifer Sánchez, David A Rosenthal, Timothy N Tansey, Michael P Frain and Jill L Bezyak

Rehabilitation psychology, Vol.61(1), pp.19-31

02/2016

DOI: 10.1037/rep0000059

PMID: 26881304

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Abstract

The International Classification of Functioning, Disability and Health (ICF) framework was used to investigate person-environment contextual factors, mental functioning, activity limitations, and participation as predictors of quality of life (QoL) in adults with severe mental illness (SMI). A quantitative descriptive design using multiple regression and correlational analyses was used. One hundred ninety-four individuals with SMI from 4 community-based mental health agencies in 2 states from Southern and Midwestern regions of the United States participated in the study. The criterion variable was QoL. Predictor variables comprised the ICF constructs: (a) demographics, (b) personal factors, (c) environmental factors, (d) mental functioning, (e) activity limitations, and (f) participation. A majority of participants were White (60.3%) and not employed (59.8%). Half of them received Social Security Disability Income and/or Supplemental Security Income (50.0%). Correlations between QoL and the predictor variables ranged from small to large (r = .01 to .63, respectively). The final regression model accounted for 58% of the variance in QoL. After controlling for other factors, social competency, social support, societal stigma, psychological distress, cognitive dysfunction, activity limitations, and participation were found to be significant predictors of QoL in adults with SMI. The study supports the use of the ICF to predict QoL for adults with SMI. Evidence-based treatments focused on increasing social competence, social support, and participation should be developed to promote rehabilitation outcomes and overall QoL.

Disability Evaluation

Activities of Daily Living - psychology

International Classification of Functioning, Disability and Health

United States

Humans

Middle Aged

Social Support

Male

Social Skills

Socioeconomic Factors

Disabled Persons - psychology

Mental Disorders - psychology

Young Adult

Adolescent

Adult

Disabled Persons - statistics & numerical data

Female

Surveys and Questionnaires

Aged

Quality of Life - psychology

Health Status

Evaluation Studies as Topic

Details

Title: Subtitle: Predicting quality of life in adults with severe mental illness: Extending the International Classification of Functioning, Disability, and Health
Creators: Jennifer Sánchez - Department of Rehabilitation Sciences, The University of Texas at El Paso
David A Rosenthal - Department of Rehabilitation Psychology and Special Education, University of Wisconsin-Madison
Timothy N Tansey - Department of Rehabilitation Psychology and Special Education, University of Wisconsin-Madison
Michael P Frain - Department of Counselor Education, Florida Atlantic University
Jill L Bezyak - Department of Human Rehabilitative Services, University of Northern Colorado
Resource Type: Journal article
Publication Details: Rehabilitation psychology, Vol.61(1), pp.19-31
DOI: 10.1037/rep0000059
PMID: 26881304
NLM abbreviation: Rehabil Psychol
ISSN: 0090-5550
eISSN: 1939-1544
Publisher: United States
Grant note: DOI: 10.13039/100007015, name: University of Wisconsin-Madison; name: University of Wisconsin-Stout; DOI: 10.13039/100000138, name: U.S. Department of Education; DOI: 10.13039/100006663, name: National Institute on Disability and Rehabilitation Research, award: H133B100034
Language: English
Date published: 02/2016
Academic Unit: Counselor Education
Record Identifier: 9983993489102771

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