1990
DOI: 10.2105/ajph.80.6.679
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The differential effect of traditional risk factors on infant birthweight among blacks and whites in Chicago.

Abstract: We analyzed 103,072 White and Black births in

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Cited by 131 publications
(50 citation statements)
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“…However, these rates are similar to previously reported rates for low-income African-Americans and Hispanics in the United States [17][18][19].…”
Section: Discussionsupporting
confidence: 89%
“…However, these rates are similar to previously reported rates for low-income African-Americans and Hispanics in the United States [17][18][19].…”
Section: Discussionsupporting
confidence: 89%
“…Their health may also begin to deteriorate in early adulthood as a physical consequence of the cumulative effects of racism, not race per se.2122 This hypothesis is partly supported by the lack of a Black-White disparity in the prevalence of low-birthweight among adolescent womenwho reside in impoverished neighborhoods. 4 It is important to note that although low birthweight is the primary contributor to the high Black neonatal mortality rate, the bulk of the race effect is due to verylow-birthweight (<1500 g) infants. In our study sample, only eight biracial infants born to Black women weighed less than 1500 g at birth.…”
Section: Methodsmentioning
confidence: 99%
“…[3][4][5][6][7] This fact has led certain researchers to pursue a genetic hypothesis. 8,9 Others believe that race lacks biologic significance and that the association between race and low birthweight is affected by unmeasured societal factors.…”
Section: Introductionmentioning
confidence: 99%
“…Much research has focused on individuallevel risk factors for low birthweight; individual-level models, however, have been able to explain only a small proportion of the overall variability seen for birthweight.2 Moreover, it is increasingly being recognized that environmental factors contribute to the risk of low birthweight. [3][4][5][6][7] Previous studies of low birthweight have been limited to individual factors in their conceptualization of social risk.89 Social risk, however, should also include environmental stressors, which shape individual vulnerability and resistance to risk factors for health. Analyses that include both individuallevel and macrolevel data-referred to as contextual or multilevel models-have several advantages.21 First, multilevel analytic methods are more consistent with social theories than are traditional methods of analysis (e.g., ordinary regression) in that they explicitly accommodate the multiple levels of data.22 Second, multilevel methods can contribute new knowledge to our current understanding of public health issues by allowing for the inclusion of macrolevel factors in our current explanatory models, thereby bridging the micro-macro gap by increasing our understanding of how contextual factors translate into differences in individual-level risk.…”
Section: Introductionmentioning
confidence: 99%