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

RAGGI A; COVELLI V; PAGANI M; MEUCCI P; MARTINUZZI A; BUFFONI M; RUSSO E; LEONARDI M
INT J REHABIL RES , 2014, vol. 37, n° 2, p. 180-186
Doc n°: 169355
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1097/MRR.0000000000000054
Descripteurs : JL1 - HANDICAP ET SOCIETE, JQ - CIF

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.

Langue : ANGLAIS

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