Background: Experiences during the birth hospitalization affect breastfeeding outcomes. In the United States, hospital policies and practices supportive of breastfeeding are routinely assessed through the Maternity Practices in Infant Nutrition and Care (mPINC) survey; however, mPINC does not capture data on breastfeeding outcomes. Materials and Methods: Data from the 2015 mPINC survey were linked to 2015 data from the Joint Commission (TJC), a major accreditor of health care systems in the United States (n = 1,305 hospitals). Each hospital participating in mPINC is given a total score, which is the average of seven subscores; all ranging from 0 to 100. TJC has hospital-specific data on the percentage of infants exclusively breastfeeding at hospital discharge. We used linear regression to estimate differences between quartiles of (1) total mPINC score and (2) each mPINC subscore with rates of exclusive breastfeeding at hospital discharge, adjusting for hospital type, teaching status, and number of annual births. We additionally used linear models to test for trend across quartiles of mPINC score. Results: The mean percentage of in-hospital exclusive breastfeeding increased from 39.0% for hospitals in the lowest mPINC total score quartile (<75) to 60.4% for hospitals in the highest mPINC total score quartile (≥89), an adjusted difference of 21.1 percentage points (95% confidence interval 18.6-23.6). The mean percentage of in-hospital exclusive breastfeeding significantly increased (p < 0.0001) as mPINC scores increased for total mPINC score and for each mPINC subscore. Conclusions: Higher mPINC scores were associated with higher rates of in-hospital exclusive breastfeeding. Hospitals can make improvements to their maternity care practices and policies to support breastfeeding.

Background: Epidemiological evidence suggests that timing of introduction of solid foods may be associated with subsequent obesity, and the association may vary by whether an infant is breastfed or formula-fed. Methods: We included 1181 infants who participated in the Infant Feeding Practices Study II (IFPS II) and the Year 6 Follow Up (Y6FU) study. Data from IFPS II were used to calculate the primary exposure and timing of solid food introduction (<4, 4–<6, and ≥6 months), and data from Y6FU were used to calculate the primary outcome and obesity at 6 years of age (BMI ≥95th percentile). We used multivariable logistic regression to assess the association between timing of the introduction of solids and obesity at 6 years and test whether this association was modified by breastfeeding duration (breastfed for 4 months vs. not). Results: Prevalence of obesity in our sample was 12.0%. The odds of obesity was higher among infants introduced to solids <4 months compared to those introduced at 4–<6 months (odds ratio [OR] = 1.66; 95% CI, 1.15, 2.40) in unadjusted analysis; however, this relationship was no longer significant after adjustment for covariates (OR = 1.18; 95% CI, 0.79, 1.77). Introduction of solids ≥6 months was not associated with obesity. We found no interaction between breastfeeding duration and early solid food introduction and subsequent obesity. Conclusions: Timing of introduction of solid foods was not associated with child obesity at 6 years in this sample. Given the inconsistency in findings with other studies, further studies in larger populations may be needed.

OBJECTIVE: To characterize county-level differences in pregnancy-related mortality as a function of sociospatial indicators. METHODS: We conducted a cross-sectional multilevel analysis of all pregnancy-related deaths and all live births with available ZIP code or county data in the Pregnancy Mortality Surveillance System during 2011–2016 for non-Hispanic Black, Hispanic (all races), and non-Hispanic White women aged 15–44 years. The exposures included 31 conceptually-grounded, county-specific sociospatial indicators that were collected from publicly available data sources and categorized into domains of demographic; general, reproductive, and behavioral health; social capital and support; and socioeconomic contexts. We calculated the absolute difference of county-level pregnancy-related mortality ratios (deaths per 100,000 live births) per 1-unit increase in the median absolute difference between women living in counties with higher compared with lower levels of each sociospatial indicator overall and stratified by race and ethnicity. RESULTS: Pregnancy-related mortality varied across counties and by race and ethnicity. Many sociospatial indicators were associated with county-specific pregnancy-related mortality ratios independent of maternal age, population size, and Census region. Across domains, the most harmful indicators were percentage of low-birth-weight births (absolute ratio difference [RD] 6.44; 95% CI 5.36–7.51), percentage of unemployed adults (RD 4.98; 95% CI 3.91–6.05), and food insecurity (RD 4.92; 95% CI 4.14–5.70). The most protective indicators were higher median household income (RD −2.76; 95% CI −3.28 to −2.24), percentage of college-educated adults (RD −2.28; 95% CI −2.81 to −1.75), and percentage of owner-occupied households (RD −1.66; 95% CI −2.29 to −1.03). The magnitude of these associations varied by race and ethnicity. CONCLUSION: This analysis identified sociospatial indicators of pregnancy-related mortality and showed an association between pregnancy-related deaths and place of residence overall and stratified by race and ethnicity. Understanding county-level context associated with pregnancy-related mortality may be an important step towards building public health evidence to inform action to reduce pregnancy-related mortality at local levels.