[Asthmatic children's risk factors for emergency room visits, Brazil].
OBJECTIVE
To study a sample of asthmatic children to get to know how the disease is managed by caretakers and to identify predictive factors associated with attendance in emergency room for asthma.


METHODS
A cross-sectional study nested in a cohort was undertaken in the urban area of Pelotas, Southern Brazil. 981 children aged 4-5 years, who belong to the cohort of 1993, participated in this study.


RESULTS
The asthma prevalence in the children sample was 25.4%. Morbidity for asthma was quite high: 31% of the children were seen in emergency rooms in the last year, 57% attended medical clinics and 26% were hospitalized in the first 4 years of life. The crude analysis identified the following predictive factors for emergency room visits: low educational level (RO=4.1), low family income (RO=6. 5), 3 or more children sleeping in the same room (RO=2.2), severity of asthma attacks (RO=2.7), use of asthma medicines in the last year (RO=1.9) and hospitalizations due to asthma (RO=3.0). Multivariate analyses using logistic regression were used to adjust each variable for the effect of the remainder.


CONCLUSIONS
The asthma prevalence among preschool children in Pelotas is high, resulting therefore in high morbidity. The predictor factors for emergency room visits due to asthma found, after multivariate analysis, were mother's low educational level, severity of the asthma attacks and hospitalization.
Chatkin
M
M
Departamento de Clínica Médica, Universidade Federal de Pelotas, Pelotas, RS, Brasil. moema@pelotas.com.br
Menezes
A M
AM
Albernaz
E
E
Victora
C G
CG
Barros
F C
FC
D001249:Asthma / Q000453:epidemiology* / Q000209:etiology / Q000628:therapy; D001938:Brazil / Q000453:epidemiology; D002675:Child, Preschool; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D004522:Educational Status; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D005191:Family Characteristics; D005260:Female; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D008297:Male; D009017:Morbidity; D015999:Multivariate Analysis; D015995:Prevalence; D012307:Risk Factors; D012959:Socioeconomic Factors; D014505:Urban Population / Q000706:statistics & numerical data