Ming Wen1. 1. Department of Sociology, University of Utah, Salt Lake City, UT 84112, USA. ming.wen@soc.utah.edu
Abstract
OBJECTIVES: This research investigates the association between race/ethnicity and child health, and examines the role of family structure, family socioeconomic status (SES), and healthcare factors in this association. Five major racial/ethnic groups in the US are studied. Two child health outcomes, including parent-rated health and limiting health condition, are examined. The analysis is stratified into three age groups: age 0-5, age 6-11, and age 12-17. DESIGN: Cross-sectional study using data from a large, nationally representative sample collected in 1999 in the US. RESULTS: Older age groups tend to exhibit larger racial/ethnic disparities in child health. Except for some age groups of Asian youths, minority children and adolescents generally show higher risks of fair or poor parent-rated health and limiting health condition relative to Whites. Family SES partly explains the effects of Black, Hispanic, and Native American groups, but significant amount of residual effects remain. Family structure explains some Black effects, but not for other minority groups. Healthcare factors do not contribute much to the racial/ethnic differences. Both family structure and healthcare factors are important factors of child health in their own right. None of the social factors examined can explain the effects of the Asian group. Data also show that economic resources play a more salient role in child health than parental education, especially in young children. In addition, healthcare factors, to some extent, can explain why children from higher SES families fare better in health. CONCLUSION: Racial/ethnic disparities in health start early in life. Except for Asians, class explains a substantial amount, but not all, of these disparities. Healthcare factors play some role in explaining health disparities by class. Structural solution seems to be needed to reduce disparities by race/ethnicity among youths.
OBJECTIVES: This research investigates the association between race/ethnicity and child health, and examines the role of family structure, family socioeconomic status (SES), and healthcare factors in this association. Five major racial/ethnic groups in the US are studied. Two child health outcomes, including parent-rated health and limiting health condition, are examined. The analysis is stratified into three age groups: age 0-5, age 6-11, and age 12-17. DESIGN: Cross-sectional study using data from a large, nationally representative sample collected in 1999 in the US. RESULTS: Older age groups tend to exhibit larger racial/ethnic disparities in child health. Except for some age groups of Asian youths, minority children and adolescents generally show higher risks of fair or poor parent-rated health and limiting health condition relative to Whites. Family SES partly explains the effects of Black, Hispanic, and Native American groups, but significant amount of residual effects remain. Family structure explains some Black effects, but not for other minority groups. Healthcare factors do not contribute much to the racial/ethnic differences. Both family structure and healthcare factors are important factors of child health in their own right. None of the social factors examined can explain the effects of the Asian group. Data also show that economic resources play a more salient role in child health than parental education, especially in young children. In addition, healthcare factors, to some extent, can explain why children from higher SES families fare better in health. CONCLUSION: Racial/ethnic disparities in health start early in life. Except for Asians, class explains a substantial amount, but not all, of these disparities. Healthcare factors play some role in explaining health disparities by class. Structural solution seems to be needed to reduce disparities by race/ethnicity among youths.
Authors: P J Carter; W S Cutfield; P L Hofman; A J Gunn; D A Wilson; P W Reed; C Jefferies Journal: Diabetologia Date: 2008-08-05 Impact factor: 10.122