Does health status explain gender dissimilarity in healthcare use among older adults

Datos Bibliográficos

ID5222738
AutoresSandhi Maria Barreto (0000-0001-7383-7811, Universidade Federal de Minas Gerais), Alexandre Kalache (0000-0002-3203-0568, World Health Organization), Luana Giatti (0000-0001-5454-2460, Universidade Federal de Minas Gerais, Brasil; Secretaria Municipal de Saúde, Brasil)
Año2006
Volumen22
Número2
Páginas347-355
Fecha de publicación2006-02-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCadernos de Saude Publica (JOURNAL)
Identificadores de la revistaISSN: 0102-311X • E-ISSN: 1678-4464
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s0102-311x2006000200012
PMID16501747
OpenAlexW2136907004
SCIELO_PIDS0102-311X2006000200012
IdiomaEN
Citas recibidas8
Referencias citadas31

This study investigates the extent to which gender dissimilarity in healthcare use in later life is explained by variation in health and social-economic statuses. It is based on a nationwide sample in Brazil of 12,757 men and 16,186 women aged 60+ years. Individuals with great difficulties or unable to perform at least one daily living activity and/or to walk 100m were classified as "established disability". Those who had interrupted their activities in the previous 15 days because of a health problem were regarded as "temporarily disabled". The remaining we classified as "healthy". These categories were analyzed by multinomial logistic regression, taking "healthy" as the reference category. Prevalences of established disability were 6% among men and 11% among women. Temporary disabilities were 7.9% and 10.1%, respectively. Poor health status was associated with increased use of healthcare among men and women, but men and women differed significantly in relation to use pattern after adjustment for age, health status, and income. Older women were greater consumers of outpatient services and older men of inpatient care

Environmental health · Health care · Logistic regression · Multinomial logistic regression · Population · Socioeconomic status · Demography · Global Health Care Issues · Health disparities and outcomes · Medicine · Retirement, Disability, and Employment · Gerontology