Socioeconomic differences in childhood injury: a population based epidemiologic study in Ontario, Canada.
OBJECTIVE
To determine whether risks for childhood injury vary according to socioeconomic gradients.


METHODS
Population based, retrospective study. The percentage of individuals living below the poverty line (described ecologically using census data) was the primary measure of socioeconomic status.


METHODS
Catchment area of a tertiary medical centre that provides emergency services to all area residents. Area residents aged 0-19 years during 1996 were included.


METHODS
Injuries that occurred during 1996 were identified by an emergency department based surveillance system. The study population was divided into socioeconomic grades based upon percentages of area residents living below the poverty line. Multiple Poisson regression analyses were used to quantify associations and assess the statistical significance of trends.


RESULTS
5894 childhood injuries were identified among 35380 eligible children; 985 children with missing socioeconomic data were excluded. A consistent relation between poverty and injury was evident. Children in the highest grade (indicating higher poverty levels) experienced injury rates that were 1.67 (95% confidence interval 1.48 to 1.89) higher than those in the lowest grade (adjusted relative risk for grades 1-V: 1.00,1.10,1.22,1.42, 1.67; Ptrend < 0.001). These patterns were observed within age/sex strata; for home, recreational, and fall injuries; and for injuries of minor and moderate severities.


CONCLUSIONS
Socioeconomic differences in childhood injury parallel mortality and morbidity gradients identified in adult populations. This study confirms that this health gradient is observable in a population of children using emergency department data. Given the population based nature of this study, these findings are likely to be reflected in other settings. The results suggest the need for targeted injury prevention efforts among children from economically disadvantaged populations, although the exact requirements of the optimal prevention approach remain elusive.
Faelker
T
T
Department of Emergency Medicine, Queen's University at Kingston, Ontario, Canada.
Pickett
W
W
Brison
R J
RJ
D000058:Accidental Falls / Q000517:prevention & control / Q000706:statistics & numerical data; D000061:Accidents, Home / Q000517:prevention & control / Q000706:statistics & numerical data; D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data; D000293:Adolescent; D017677:Age Distribution; D001265:Athletic Injuries / Q000453:epidemiology / Q000517:prevention & control; D002648:Child; D002669:Child Welfare / Q000706:statistics & numerical data*; D002675:Child, Preschool; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D015601:Injury Severity Score; D008297:Male; D020380:Needs Assessment; D009864:Ontario / Q000453:epidemiology; D011159:Population Surveillance; D012042:Registries; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology* / Q000517:prevention & control