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Sociodemographic features and diagnoses as predictors of severe disability in a sample of adults applying for disability certification.

Authors :
Raggi A
Covelli V
Pagani M
Meucci P
Martinuzzi A
Buffoni M
Russo E
Leonardi M
Source :
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation [Int J Rehabil Res] 2014 Jun; Vol. 37 (2), pp. 180-6.
Publication Year :
2014

Abstract

To assess the association between sociodemographic factors and factors related to number and type of comorbidities, and presence of severe disability in a population of adults applying for disability certification. Data have been collected using a protocol based on the ICF Classification. Hierarchical logistic regression was performed to assess the association between severe disability and sex, age, marital status, education, living situation, number, and type of diagnosis. In total, 552 individuals were enrolled (46.2% men, mean age 62.3 years), with an average of three diagnoses, mostly mental, neurological, and cardiovascular. Being married/cohabitating and higher education levels were associated with reduced odds of severe disability; living with other individuals, such as in an institution, was associated with increased odds. Our results show that age and education level were associated with severe disability, and that no association with number of diseases was found: in our opinion, this is specific to the population of individuals with disability.

Details

Language :
English
ISSN :
1473-5660
Volume :
37
Issue :
2
Database :
MEDLINE
Journal :
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Publication Type :
Academic Journal
Accession number :
24508805
Full Text :
https://doi.org/10.1097/MRR.0000000000000054