Much of the research examining the patterns, timing, and socioeconomic characteristics of child overweight has been limited by the lack of longitudinal nationally representative data with sufficiently large or diverse samples. We used the Early Childhood Longitudinal Study- Kindergarten Cohort (ECLS-K), a nationally representative sample of US kindergartners, to identify three distinct patterns of weight gain from kindergarten through eighth grade. The largest group (boys: 59%, girls: 55%) was characterized as having consistently normal weight whereby BMI percentile remained below the 85th percentile. The remaining children (boys: 41%, girls: 45%) fell either into a class characterized as always overweight/at risk of overweight (boys: 27%, girls: 25%) or gradually becoming overweight/at risk for overweight (boys: 15%, girls 20%). We found some evidence that the relationship between socioeconomic status and children’s health may operate differently across gender. Among girls, low parental income and education were both significant risk factors for the gradual onset of overweight after beginning Kindergarten. Parental income or changes in parental income were not related to boys’ risk of developing overweight after entering Kindergarten; only parents’ education. We found that while children of immigrants display higher levels of overweight / at risk for overweight at each grade level, the children of immigrant parents who have had less exposure to the US were more likely to experience early and sustained overweight throughout elementary and middle school, particularly among boys. High rates of overweight as early as kindergarten, combined with race/ethnic differences suggest that interventions should focus on pre-school children’s environments.

Objectives Adverse childhood experiences (ACE) have been consistently linked in a strong and graded fashion to a host of health problems in later adulthood but few studies have examined the more proximate effect of ACE on health and emotional well-being in adolescence. Study Design Nationally representative cross-sectional study. Methods Using logistic regression on the 2011/12 National Survey of Children’s Health, we examined the cumulative effect of total ACE score on the health and emotional well-being of US adolescents ages 12 through 17. We investigated the moderating effect of family functioning on the impact of ACE on adolescent health and emotional well-being. Results Adolescents with higher ACE scores had worse reported physical and emotional well-being than adolescents with fewer ACEs net of key demographic and socioeconomic characteristics. Family functioning moderated the negative impact of cumulative ACE on adolescent health and emotional well-being. Conclusions Adolescent well-being has enduring consequences; identifying children with ACE exposure who also have lower-functioning family could also help identify those families at particular risk.

Although some research suggests that the healthy immigrant effect extends to cognitive functioning, it is unclear whether this general pattern varies according to gender. We use six waves of data collected from the original cohort of the Hispanic Established Populations for the Epidemiologic Study of the Elderly to estimate a series of linear growth curve models to assess variations in cognitive functioning trajectories by nativity status and age at migration to the U.S.A. among women and men. Our results show, among women and men, no differences in baseline cognitive status (intercepts) between early- (before age 20) and late-life (50 and older) immigrants and U.S.-born individuals of Mexican-origin. We also find, among women and men, that middle-life (between the ages of 20 and 49) immigrants tend to exhibit higher levels of baseline cognitive functioning than the U.S.-born. Our growth curve analyses suggest that the cognitive functioning trajectories (slopes) of women do not vary according to nativity status and age at migration. The cognitive functioning trajectories of early- and late-life immigrant men are also similar to those of U.S.-born men; however, those men who migrated in middle-life tend to exhibit slower rates of cognitive decline. A statistically significant interaction term suggests that the pattern for middle-life migration is more pronounced for men (or attenuated for women). In other words, although women and men who migrated in middle-life exhibit higher levels of baseline cognitive functioning, immigrant men tend to maintain this advantage for a longer period of time. Taken together, these patterns confirm that gender is an important conditioning factor in the association between immigrant status and cognitive functioning.

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The positive income-BMI association among Hispanic immigrant children might reflect cultural differences that immigrant parents carry with them from their countries of origin.

Although studies have shown that air pollution can be devastating to population health, little is known about the health implications of the intersection of air pollution and income inequality. We investigate if air pollution is especially detrimental to the health of US state populations characterized by more inequitable distributions of income. In other words, are the populations of states with higher levels of income inequality especially vulnerable to similar levels of air pollution? We use two-way fixed-effects panel regression techniques to analyze longitudinal data for 49 US states and the District of Columbia (2000–2010) to model state-level life expectancy as a function of fine particulate matter, income inequality, and other state-level factors. We estimate models with interaction terms to formally assess whether the association between fine particulate matter and life expectancy varies by level of state income inequality. Across multiple life expectancy outcomes and additive models, states with higher PM 2.5 levels tend to exhibit lower average life expectancy. This general pattern is observed with our specifications for raw and weighted PM 2.5 and with adjustments for income share of the top 10%, total population, GDP per capita, median household income, median age, percent college degree or higher, percent black, and percent Hispanic/Latino. We also find that the association between state PM 2.5 levels and average life expectancy intensifies in states with higher levels of income inequality. More specifically, PM 2.5 levels are more detrimental to population life expectancy in states where a higher percentage of income is concentrated in the top 10% of the state income distribution. We discuss the implications of our results for future research in social epidemiology and environmental justice.