Objective: Rapid development in low-and middle-income countries (LMIC) has led to changes in diet that have outpaced water and sanitation improvements, contributing to a dual burden of overweight and noncommunicable disease risk factors (OWT/NCD) and undernutrition and infectious disease symptoms (UND/ID) within individuals and households. Yet, little work has examined the joint impact of water and food exposures on the development of the dual burden. Methods: We use data from Ecuador's nationally representative Encuesta Nacional de Salud y Nutrición (ENSANUT-ECU) to test whether water access and quality and diet quality and security are associated with OWT/NCD and UND/ID among 1119 children and 1582 adults in Galápagos. Adjusted multinomial and logistic models were used to test the separate and joint associations between water and food exposures and the dual burden and its components at the individual and household levels.Results: The prevalence of the dual burden of OWT/NCD and UND/ID was 16% in children, 33% in adults, and 90% in households. Diet quality was associated with a higher risk of dual burden in individuals and households. Mild food insecurity was positively associated with the risk of dual burden at the household level. No water variable separately predicted the dual burden. Joint exposure to poor water access and food insecurity was associated with greater odds of dual burden in households. Conclusion: Our results suggest that unhealthy diets and poor water quality contribute to the dual burden at the individual and household levels. Addressing both food and water limitations is important in LMIC.

Objectives The gut microbiome (GM) connects physical and social environments to infant health. Since the infant GM affects immune system development, there is interest in understanding how infants acquire microbes from mothers and other household members. Materials and Methods As a part of the Cebu Longitudinal Health and Nutrition Survey (CLHNS), we paired fecal samples (proxy for the GM) collected from infants living in Metro Cebu, Philippines at 2 weeks (N = 39) and 6 months (N = 36) with maternal interviews about prenatal household composition. We hypothesized that relationships between prenatal household size and composition and infant GM bacterial diversity (as measured in fecal samples) would vary by infant age, as well as by household member age and sex. We also hypothesized that infant GM bacterial abundances would differ by prenatal household size and composition. Results Data from 16 S rRNA bacterial gene sequencing show that prenatal household size was the most precise estimator of infant GM bacterial diversity, and that the direction of the association between this variable and infant GM bacterial diversity changed between the two time points. The abundances of bacterial families in the infant GM varied by prenatal household variables. Conclusions Results highlight the contributions of various household sources to the bacterial diversity of the infant GM, and suggest that prenatal household size is a useful measure for estimating infant GM bacterial diversity in this cohort. Future research should measure the effect of specific sources of household bacterial exposures, including social interactions with caregivers, on the infant GM.

Background: As breastfeeding rates in the United States increase, barriers persist for Black, Latine, and low-socioeconomic status household dyads when compared to White and high-socioeconomic status household dyads. Previous breastfeeding disparities research has almost exclusively considered the influence of race, ethnicity, and socioeconomic status separately, although these attributes are not randomly distributed across the population. Research Aim: To identify breastfeeding duration patterns by race/ethnicity and educational attainment in a nationally representative U.S. National Immunization Survey sample. Method: We conducted a cross-sectional, secondary analysis of the U.S. Centers for Disease Control and Prevention’s 2020 National Immunization Survey–Child public-use data. To examine breastfeeding and exclusive breastfeeding durations at the intersection of race/ethnicity and educational attainment, we created a 12-item, cross-classified variable using three educational attainment groups and four race/ethnicity groups. We used linear regressions to test these associations. Results: In all, 83% of the sample breastfed. Mean durations of breastfeeding were 7.5 ( SE = 1.95) months and exclusive breastfeeding duration was 4.9 ( SE = 0.87) months. In adjusted models, multi-race/other high-educational attainment participants had the longest breastfeeding duration by almost 3 weeks (β: 19.53, 95% CI [5.27, 33.79]), and Black low-educational attainment participants exclusively breastfed for 1 month less than White high-educational attainment participants (β:−30.23, 95% CI [−40.87, −19.58]). Conclusions: Examining race/ethnicity and educational attainment together provides an intersectional understanding of breastfeeding outcomes and can inform targeted, culturally appropriate interventions.