Understanding the pathogenesis of neurodevelopmental disorders has proven to be challenging. Using autism spectrum disorder (ASD) as a paradigmatic neurodevelopmental disorder, this article reviews the existing literature on the etiological substrates of ASD and explores how genetic epidemiology approaches including gene-environment interactions (G×E) can play a role in identifying factors associated with ASD etiology. New genetic and bioinformatics strategies have yielded important clues to ASD genetic substrates. The next steps for understanding ASD pathogenesis require significant effort to focus on how genes and environment interact with one another in typical development and its perturbations. Along with larger sample sizes, future study designs should include sample ascertainment that is epidemiologic and population-based to capture the entire ASD spectrum with both categorical and dimensional phenotypic characterization; environmental measurements with accuracy, validity, and biomarkers; statistical methods to address population stratification, multiple comparisons, and G×E of rare variants; animal models to test hypotheses; and new methods to broaden the capacity to search for G×E, including genome-wide and environment-wide association studies, precise estimation of heritability using dense genetic markers, and consideration of G×E both as the disease cause and a disease course modifier. Although examination of G×E appears to be a daunting task, tremendous recent progress in gene discovery has opened new horizons for advancing our understanding of the role of G×E in the pathogenesis of ASD and ultimately identifying the causes, treatments, and even preventive measures for ASD and other neurodevelopmental disorders.

This study examined differences in exposure to early childhood education among Mexican-origin children across Latino/a destinations. Early childhood educational enrollment patterns, which are highly sensitive to community resources and foundational components of long-term educational inequalities, can offer a valuable window into how destinations may be shaping incorporation among Mexican-origin families. Integrating data from the Early Childhood Longitudinal Study-Birth Cohort with county-level data from the decennial census, multilevel logistic regression models revealed that Mexican-origin, black, and white children had lower odds of enrollment in early childhood education programs if they lived in new Latino/a destinations versus established destinations. The negative association between new destinations and early childhood education enrollment persisted despite controls for household selectivity, state and local early childhood education contexts, Latino/a educational attainment, Latino-white residential segregation, and immigration enforcement agreements. Within the Mexican-origin subgroup, the enrollment gap between new and established destinations was widest among the least-acculturated families, as measured by parental nativity, duration of residence, citizenship status, and English proficiency. These findings highlight how both place and acculturation stratify outcomes within the large and growing Mexican-origin subset of the Latino/a population.

In the original article, the authors neglected to include information in the Acknowledgements section about one additional NICHD grant that funded the study.

This study examined differences in exposure to early childhood education among Mexican-origin children across Latino/a destinations. Early childhood educational enrollment patterns, which are highly sensitive to community resources and foundational components of long-term educational inequalities, can offer a valuable window into how destinations may be shaping incorporation among Mexican-origin families. Integrating data from the Early Childhood Longitudinal Study-Birth Cohort with county-level data from the decennial census, multilevel logistic regression models revealed that Mexican-origin, black, and white children had lower odds of enrollment in early childhood education programs if they lived in new Latino/a destinations versus established destinations. The negative association between new destinations and early childhood education enrollment persisted despite controls for household selectivity, state and local early childhood education contexts, Latino/a educational attainment, Latino-white residential segregation, and immigration enforcement agreements. Within the Mexican-origin subgroup, the enrollment gap between new and established destinations was widest among the least-acculturated families, as measured by parental nativity, duration of residence, citizenship status, and English proficiency. These findings highlight how both place and acculturation stratify outcomes within the large and growing Mexican-origin subset of the Latino/a population.

Premenstrual symptoms (PMS) may reduce smoking cessation success. Yet, little is known about the factors that may impact smoking cessation among women with elevated PMS, leaving little data to guide smoking cessation science and practice for this population. This cross-sectional study is a secondary analysis of data from laboratory studies focused on menstrual cycle effects and smoking. Premenopausal woman daily smokers (n = 157) completed self-report measures of tobacco dependence and other cessation-relevant factors (i.e., smoking cessation history, withdrawal during previous quit attempts, use of smoking cessation aids) as well as a measure assessing 3 domains of PMS-affective, water retention, and pain. After controlling for depression and race, affective PMS were associated with greater daytime tobacco dependence, withdrawal symptoms during most recent quit attempt, and number of smoking cessation aids used in past quit attempts (βs = .19-.28, ps < .05). Additionally, affective PMS were associated with increased odds of having used e-cigarettes during past quit attempts (odds ratio = 1.54, 95% confidence interval [1.06, 2.24]) after adjusting for depression and race. These results across different domains of PMS suggest that affective PMS may play a particularly important role in smoking cessation. Women with elevated affective PMS may be more inclined to try cessation aids and require special clinical attention to controlling tobacco withdrawal during quit attempts to increase success. (PsycINFO Database Record

The ability to recognize and label discrete emotions, termed emotion differentiation, is particularly pertinent to overall emotion regulation abilities. Patterns of deficient emotion differentiation have been associated with mood and anxiety disorders but have yet to be examined in relation to nicotine dependence. This study employed ecological momentary assessment to examine smokers' subjective experience of discrete emotions during 24-h of forced tobacco abstinence. Thirty daily smokers rated their emotions up to 23 times over the 24-hour period, and smoking abstinence was biologically verified. From these data, we computed individual difference measures of emotion differentiation, overall emotion intensity, and emotional variability. As hypothesized, heavy smokers reported poorer negative emotion differentiation than light smokers (d=0.55), along with more intense negative emotion (d=0.97) and greater negative emotion variability (d=0.97). No differences were observed in positive emotion differentiation. Across the sample, poorer negative emotion differentiation was associated with greater endorsement of psychological motives to smoke, including negative and positive reinforcement motives, while positive emotion differentiation was not.