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The Impact of School Quality on Postsecondary Success: Evidence in the Era of Common Core

Prospering through Prospera: CCT Impacts on Educational Attainment and Achievement in Mexico

Marriage Market and Labor Sorting

Heterogeneity in the Impact of Privatizing Social Health Insurance

Baltimore Sun article reports Census numbers and their impact

A society in transition must change its approach to poverty from one established decades back

Hofferth and colleagues help make time use data readily accessible

Black males experience extraordinary developmental risks as a consequence of the combined effects of male gender, poverty, and race. These risks are reflected in atypical behavioral and emotional development often observed in middle childhood. Not all Black males succumb to these risks. Whether or not they do is a function of exposure to adverse childhood events resulting from poverty, the experience of racial bias, and access to mitigating cultural resources and familial supports. Reducing household poverty and increasing access to early childhood programs, school‐based programs, and mentoring are promising interventions to increase the probability of positive outcomes.

Reducing racial/ethnic disparities in preterm birth is a priority for U.S. public health programs. The study objective was to quantify the relative contribution of geographic, sociodemographic, and health determinants to the black, non-Hispanic and white, non-Hispanic preterm birth disparity. Methods Cross-sectional 2016 U.S. birth certificate data (analyzed in 2018–2019) were used. Black–white differences in covariate distributions and preterm birth and very preterm birth rates were examined. Decomposition methods for nonlinear outcomes based on logistic regression were used to quantify the extent to which black–white differences in covariates contributed to preterm birth and very preterm birth disparities. Results Covariate differences between black and white women were found within each category of geographic, sociodemographic, and health characteristics. However, not all covariates contributed substantially to the disparity. Close to 38% of the preterm birth and 31% of the very preterm birth disparity could be explained by black–white covariate differences. The largest contributors to the disparity included maternal education (preterm birth, 11.3%; very preterm birth, 9.0%), marital status/paternity acknowledgment (preterm birth, 13.8%; very preterm birth, 14.7%), source of payment for delivery (preterm birth, 6.2%; very preterm birth, 3.2%), and hypertension in pregnancy (preterm birth, 9.9%; very preterm birth, 8.3%). Interpregnancy interval contributed a more sizable contribution to the disparity (preterm birth, 6.2%, very preterm birth, 6.0%) in sensitivity analyses restricted to all nonfirstborn births. Conclusions These findings demonstrate that the known portion of the disparity in preterm birth is driven by sociodemographic and preconception/prenatal health factors. Public health programs to enhance social support and preconception care, specifically focused on hypertension, may provide an efficient approach for reducing the racial gap in preterm birth.

Racial Disparities in School Discipline team will examine longitudinal and other data