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1.
Perspectives in Rehabilitation ; 32(19): 1612-1615, 2010.
Article in English | Sec. Est. Saúde SP, SESSP-ISPROD, Sec. Est. Saúde SP, SESSP-ISACERVO | ID: biblio-1065283

ABSTRACT

Objectives: To investigate health self-assessment and to estimate the prevalence of chronic diseases and recent illnesses in people with and without physical disabilities (PD) in the state of São Paulo, southeastern Brazil...


Subject(s)
Male , Female , Humans , Chronic Disease , Health Surveys , Disabled Persons , Health of Ethnic Minorities
2.
Disabil Rehabil ; 32(19): 1612-5, 2010.
Article in English | MEDLINE | ID: mdl-20158374

ABSTRACT

OBJECTIVES: To investigate health self-assessment and to estimate the prevalence of chronic diseases and recent illnesses in people with and without physical disabilities (PD) in the state of São Paulo, southeastern Brazil. STUDY DESIGN: A cross-sectional study comprising two population-based health surveys conducted in 2002 and 2003. METHODS: A total of 8317 persons (165 with PD) were interviewed in the two studies. Variables concerning to health self-assessment; chronic disease and recent illness were compared in the people with and without PD. Negative binomial regression was used in the analysis. RESULTS: Subjects with PD more often assessed their health as poor/very poor compared to non-disabled ones. They reported more illnesses in the 15 days prior to interview as well as more chronic diseases (skin conditions, anaemia, chronic kidney disease, stroke, depression/anxiety, migraine/headache, pulmonary diseases, hypertension, diabetes, arthritis/arthrosis/rheumatic conditions and heart disease). This higher disease prevalence can be either attributed to disability itself or be associated to gender, age and schooling. CONCLUSIONS: Subjects with PD had more recent illnesses and chronic diseases and poorer health self-assessment than non-disabled ones. Age, gender, schooling and disability have individual roles in disease development among disabled people.


Subject(s)
Disabled Persons/statistics & numerical data , Health Status , Adolescent , Adult , Age Factors , Brazil/epidemiology , Child , Chronic Disease/epidemiology , Cross-Sectional Studies , Educational Status , Female , Health Surveys , Humans , Male , Middle Aged , Sex Factors , Young Adult
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