Health outcomes in low-income children with current asthma in Canada.
Data collected from the Canadian National Longitudinal Survey of Children and Youth (NLSCY) in 1994/95 and 1996/97 were used to measure longitudinal health outcomes among children with asthma. Over 10 000 children aged 1 to 11 years with complete data on asthma status in both years were included. Outcomes included hospitalizations and health services use (HSU). Current asthma was defined as children diagnosed with asthma by a physician and who took prescribed inhalants regularly, had wheezing or an attack in the previous year, or had their activities limited by asthma. Children having asthma significantly increased their odds of hospitalization (OR = 2.52; 95% CI: 1.71, 3.70) and health services use (OR = 3.80; 95% CI: 2.69, 5.37). Low-income adequacy (LIA) in 1994/ 95 significantly predicts hospitalization and HSU in 1996/97 (OR = 2.68; 95% CI: 1.29, 5.59 and OR = 0.67; 95% CI: 0.45, 0.99, respectively). Our results confirmed that both having current asthma and living in low-income families had a significant impact on the health status of children in Canada. Programs seeking to decrease the economic burden of pediatric hospitalizations need to focus on asthma and low-income populations.
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Child Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada. teresa.to@sickkids.ca
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Tassoudji
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Wang
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D001249:Asthma / Q000453:epidemiology / Q000517:prevention & control; D002170:Canada / Q000453:epidemiology; D002648:Child; D002669:Child Welfare / Q000706:statistics & numerical data*; D002675:Child, Preschool; D005260:Female; D019538:Health Care Surveys; D054624:Health Status Disparities; D006306:Health Surveys; D054625:Healthcare Disparities / Q000706:statistics & numerical data; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D008137:Longitudinal Studies; D008297:Male; D015999:Multivariate Analysis; D017063:Outcome Assessment, Health Care / Q000458:organization & administration*; D011203:Poverty; D012044:Regression Analysis; D012307:Risk Factors