Prevalence of hospitalization and associated factors in Pelotas, Southern Brazil.
OBJECTIVE
To estimate the prevalence of hospitalizations and to identify characteristics associated with hospital admission.


METHODS
We carried out a population-based cross-sectional study of subjects of both sexes, aged 20-69 years, and who lived in the urban area of Pelotas, Southern Brazil, between 1999 and 2000. Subjects were interviewed using a standardized, pre-coded questionnaire. Analysis was stratified by sex and confounder control was carried out using Poisson regression. Variables analyzed included socioeconomic and demographic characteristics, lifestyle, morbidities, and medical appointments in the last year.


RESULTS
Of the 1,916 subjects interviewed, 146 (7.6%; 95%CI: 6.4;8.8) had been hospitalized in the year preceding the interview. Among men, characteristics associated with hospitalization included age above 50 years, schooling between five and seven years, history of smoking, minor psychiatric disorders, and medical appointments in the last year. For women, hospitalization was more frequent among subjects aged 60-69 years, with five to seven years of schooling, and who had had medical appointments within the last year. Women who consumed under 30 g/day of alcohol were less likely to have been hospitalized. Prevalence of hospitalization for primary care-sensitive causes was 13.0% (95%CI: 7.6;18.5).


CONCLUSIONS
Prevalence of hospitalization is similar in men and women. Schooling, but not income, was found to be associated with hospitalization.
Costa
Juvenal Soares Dias da
JS
Programa de Pós-Graduação em Saúde Coletiva, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brasil. episoares@terra.com.br
Reis
Mauri Caldeira
MC
Silveira Filho
Claudio Viana
CV
Linhares
Rogério da Silva
Rda S
Piccinini
Fábio
F
Fantinel
Everton
E
D000328:Adult; D017677:Age Distribution; D000368:Aged; D001938:Brazil / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006306:Health Surveys / Q000706:statistics & numerical data*; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012959:Socioeconomic Factors; D014505:Urban Population; D055815:Young Adult