Socio-demographic correlates of mobility disability in older Brazilians: results of the first national survey.
BACKGROUND
Socio-economic differences in mobility disability prevalence in old age have been reported from the US and Europe. Brazil is characterised by gross socio-economic inequalities, but there have been no previous national data on disability prevalence.


OBJECTIVE
This study aimed to estimate disability rates and explore associations identifying the most significant socio-economic markers associated with mobility disability prevalence in old age in Brazil.


METHODS
A nationally representative sample of 28,943 people aged 60 years or over was interviewed, in the 1998 National Household Survey (PNAD), conducted by the Brazilian Institute of Geography and Statistics.


RESULTS
The prevalence rates of markers of mild, moderate and severe disability were higher in women than men, and increased with age. Prevalence rates of difficulty with personal care and medium distance walking were broadly similar to England, but far more Brazilians reported difficulty climbing stairs. In logistic regression analyses, the strongest markers associated with increased mobility disability prevalence were age, gender, lack of education and low income. Rural residence was also associated with reduced prevalence. Limited differences by region were present, and there were mixed effects for self-reported racial group for women.


CONCLUSIONS
Disability in the older population of Brazil shows familiar prevalence patterns by age and gender. Disparity in income and educational attainment in Brazil are the most important markers associated with group differences in mobility disability prevalence in old age.
Melzer
David
D
Department of Public Health and Primary Care, University of Cambridge, University Forvie Site, Robinson Way, Cambridge CB2 2SR, UK. dm214@medschl.ac.uk
Parahyba
Maria Isabel
MI
D000368:Aged; D001938:Brazil / Q000453:epidemiology; D003710:Demography; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D009069:Movement Disorders / Q000453:epidemiology* / Q000503:physiopathology; D015995:Prevalence; D012959:Socioeconomic Factors