Understanding health disparities: the role of race and socioeconomic status in children's health.
OBJECTIVE
We sought to determine whether childhood health disparities are best understood as effects of race, socioeconomic status (SES), or synergistic effects of the two.


METHODS
Data from the National Health Interview Survey 1994 of US children aged 0 to 18 years (n=33911) were used. SES was measured as parental education. Child health measures included overall health, limitations, and chronic and acute childhood conditions.


RESULTS
For overall health, activity and school limitations, and chronic circulatory conditions, the likelihood of poor outcomes increased as parental education decreased. These relationships were stronger among White and Black children, and weaker or nonexistent among Hispanic and Asian children. However, Hispanic and Asian children exhibited an opposite relationship for acute respiratory illness, whereby children with more educated parents had higher rates of illness.


CONCLUSIONS
The traditional finding of fewer years of parent education being associated with poorer health in offspring is most prominent among White and Black children and least evident among Hispanic and Asian children. These findings suggest that lifestyle characteristics (e.g., cultural norms for health behaviors) of low-SES Hispanic and Asian children may buffer them from health problems. Future interventions that seek to bolster these characteristics among other low-SES children may be important for reducing childhood health disparities.
Chen
Edith
E
University of British Columbia, Department of Psychology, 2136 West Mall, Vancouver, BC, Canada. echen@psych.ubc.ca
Martin
Andrew D
AD
Matthews
Karen A
KA
D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D006297:Health Services Accessibility / Q000191:economics* / Q000706:statistics & numerical data*; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D044469:Racial Groups / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors