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Objective: Cardiometabolic disease is the leading cause of mortality in the United States. Cardiometabolic function during adolescence predicts future cardiometabolic disease, yet few studies have examined early determinants of cardiometabolic function. Informed by evidence of sex differences in the prevalence and severity of cardiometabolic disorders and evidence of sexual dimorphism in the stress response, we examined sex differences in the association between living in poverty and cardiometabolic function during adolescence, a precursor of later cardiometabolic disorders. Methods: We linked data from 10 415 adolescents aged 12-19 in the National Health and Nutrition Examination Survey (1999-2012) with US Census–tract data on area-level poverty (percentage of the population living in poverty, grouped into quartiles). We parameterized cardiometabolic dysfunction by summing the z scores of 6 cardiometabolic biomarkers, grouped into quintiles. Hierarchical ordinal models estimated associations. Results: Compared with residents in low-poverty areas, residents in high-poverty areas had elevated odds of cardiometabolic dysfunction (highest quartile of poverty odds ratio [OR] = 1.27; 95% confidence interval [CI], 1.08-1.50). This association was more pronounced among boys than girls (highest quartile of poverty for boys: OR = 1.36; 95% CI, 1.10-1.70; highest quartile of poverty for girls: OR = 1.17; 95% CI, 0.94-1.47). Conclusion: Our study supports the existence of sex-specific associations. These results highlight the potential for community-based programs, such as housing assistance, to improve population health.

Income Inequality and US Children’s Secondhand Smoke Exposure: Distinct Associations by Race–Ethnicity

Edmond D. Shenassa, Director, Maternal and Child Health Program, Associate Professor, Department of Family Science, University of Maryland

Maternal postpartum depression has been shown to be one of the main predictors of externalizing and internalizing behaviors in toddlers and adolescents. Research suggests that presence of such behaviors can be observed as early as infancy. The current study uses longitudinal data from 247 mothers to examine the relationship between postpartum depressive symptoms at 8 weeks and the infant's externalizing and internalizing behaviors at 12 months. In unadjusted linear regression models, there were associations between postpartum depressive symptoms and infant externalizing behaviors (β=0.082, SE=0.032, p=0.012) and internalizing behaviors (β=0.111, SE=0.037, p=0.003). After controlling for potential confounding factors, including maternal age, race, education, home ownership, smoking status in the postpartum period, marital status, parenting stress, and happiness from becoming a parent, the associations between postpartum depressive symptoms and infant externalizing (β=0.051, SE=0.034, p=0.138) and internalizing behaviors (β=0.077, SE=0.040, p=0.057) were reduced and became non-significant. Furthermore, in these models the total amount of variance explained was 17.2% (p<0.0001) for externalizing behaviors and 10.5% (p<0.01) for internalizing behaviors; the only significant predictor of externalizing behaviors was maternal age (β=-0.074, SE=0.030, p=0.014), and of internalizing behaviors was white non-Hispanic ethnicity (β=-1.33, SE=0.378, p=0.0005). A combined effect of the confounding factors seems to explain the finding of no significant independent association between postpartum depressive symptoms and infant externalizing and internalizing behaviors.

Shenassa, Puett, Hofferth, and Hubacek investigate possible connections between pollution, stress, and poor birth outcomes