Does Neighborhood Risk Explain Racial Disparities in Low Birth Weight among Infants Born to Adolescent Mothers?

STUDY OBJECTIVE: To test associations and interactions between racial identification, neighborhood risk, and low birth weight disparities between infants born to African-American and white adolescent mothers. DESIGN: Retrospective cross-sectional study. Birth cases were geocoded and linked to census tract information from the 2010 US Census and the 2007-2011 American Community Survey. A "neighborhood risk" index was created using principal component analysis, and mothers were grouped into 3 neighborhood risk levels (low, medium, high). Multilevel models with cross-level interactions were used to identify variation in racial differences in low birth weight outcomes across neighborhood risk levels when controlling for maternal demographic characteristics and pregnancy behaviors (smoking, prenatal care use). SETTING: North Carolina, United States. PARTICIPANTS: Singleton infants (n = 7923 cases) born to non-Hispanic African American and white adolescent mothers from the North Carolina State Center of Health Statistics for 2011. MAIN OUTCOME MEASURES: Low birth weight. RESULTS: African American mothers were significantly more likely to have infants of low birth weight than white mothers in this sample (odds ratio = 1.89; 95% confidence interval, 1.53-2.34). Mothers that resided in areas of high neighborhood risk were significantly more likely to have infants of low birth weight than mothers residing in areas of low neighborhood risk (odds ratio = 1.55; 95% confidence interval, 1.25-1.93). Even when controlling for confounding factors, racial disparities in low birth weight odds did not significantly vary according to neighborhood risk level. CONCLUSION: Racial disparities can remain in low birth weight odds among infants born to adolescent mothers when controlling for maternal characteristics, pregnancy behaviors, and neighborhood risk.

Race, Socioeconomic Status, and Age: Exploring Intersections in Preterm Birth Disparities among Teen Mothers.

Few studies have examined disparities in adverse birth outcomes and compared contributing socioeconomic factors specifically between African-American and White teen mothers. This study examined intersections between neighborhood socioeconomic status (as defined by census-tract median household income), maternal age, and racial disparities in preterm birth (PTB) outcomes between African-American and White teen mothers in North Carolina. Using a linked dataset with state birth record data and socioeconomic information from the 2010 US Census, disparities in preterm birth outcomes for 16,472 teen mothers were examined through bivariate and multilevel analyses. African-American teens had significantly greater odds of PTB outcomes than White teens (OR = 1.38, 95% CI 1.21, 1.56). Racial disparities in PTB rates significantly varied by neighborhood income; PTB rates were 2.1 times higher for African-American teens in higher income neighborhoods compared to White teens in similar neighborhoods. Disparities in PTB did not vary significantly between teens younger than age 17 and teens ages 17-19, although the magnitude of racial disparities was larger between younger African-American and White teens. These results justify further investigations using intersectional frameworks to test the effects of racial status, neighborhood socioeconomic factors, and maternal age on birth outcome disparities among infants born to teen mothers.

Laying the groundwork for evidence-based public health: why some local health departments use more evidence-based decision-making practices than others.

We examined variation in the use of evidence-based decision-making (EBDM) practices across local health departments (LHDs) in the United States and the extent to which this variation was predicted by resources, personnel, and governance. We analyzed data from the National Association of County and City Health Officials Profile of Local Health Departments, the Association of State and Territorial Health Officials State Health Departments Profile, and the US Census using 2-level multilevel regression models. We found more workforce predictors than resource predictors. Thus, although resources are related to LHDs' use of EBDM practices, the way resources are used (e.g., the types and qualifications of personnel hired) may be more important.