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ContextPrepubertal obesity is a well-established predictor of earlier pubertal onset, which is itself a risk factor for poor health and well-being. Identifying specific patterns of weight gain in early life may help explain differential risk for earlier pubertal onset.ObjectiveThe objective of the study was to examine patterns of weight gain across infancy and early childhood in relation to pubertal onset outcomes.Design setting and participantsParticipants were 426 girls in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development, a longitudinal birth cohort of children and their families followed between birth and adolescence.Main outcome measuresThree pubertal onset outcomes were examined, including age at menarche and ages at Tanner stage II for dimensions of breast and pubic hair development.ResultsIn infancy (birth to 15 months), greater percent weight gain and higher birthweight predicted earlier pubertal onset for all outcomes (Ps < 0.05). In early childhood (24 months to grade 1), body mass index (BMI) trajectories reflecting BMI values that were persistently high or changed from low to high over time (vs BMI values that were stable at median or low levels), predicted younger ages at menarche and the onset of breast (Ps < 0.05), but not pubic hair (Ps > 0.05), development. All associations were independent of breastfeeding, maternal menarcheal age, and race/ethnicity.ConclusionsDistinct patterns of early life weight gain predict differential risk for earlier onset puberty. Focusing on these patterns for earlier and more targeted intervention may help lessen life course linkages between prepubertal obesity, accelerated pubertal development, and negative postpubertal outcomes.

ObjectiveTo identify early life adversity (ELA) risk factors for earlier pubertal timing, itself a risk factor for poor cardiometabolic health, and to determine whether such ELA-related risk may be mediated by pre-pubertal body mass index (BMI).MethodsSubjects included 426 female participants in a prospective birth cohort study, the NICHD Study of Early Child Care and Youth Development. Survival analysis models were fit to examine ELA exposures, representing childhood socioeconomic status (SES), maternal sensitivity, mother-child attachment, and negative life events, along with child health indicators and covariates, in relation to pubertal timing outcomes, including age at menarche and ages at Tanner stage II for breast and pubic hair development.ResultsHigher childhood SES emerged as an independent predictor of older age at menarche, showing each one standard deviation increase in childhood SES corresponded to a 1.3% increase in age at menarche (factor change = 1.013; 1.003-1.022; p < .01), but did not predict breast or pubic hair development (ps > .05). In mediation analyses, indirect (mediated) effects of mother-child attachment on the pubertal timing outcomes, via pre-pubertal BMI, were all statistically significant (ps < .05).ConclusionsHigher childhood SES predicted directly, and secure (vs. insecure) mother-child attachment predicted indirectly (via pre-pubertal BMI), later pubertal timing, suggesting these factors may protect girls from earlier pubertal development. By extension, clinical implications are that intervention strategies designed to lessen ELA- and pre-pubertal obesity-related risk may be effective in remediating life course pathways linking ELA, accelerated pubertal development, and cardiometabolic risk.

Background: Executive functions (EF) support engagement in goal-directed behaviors, including several health behaviors. Stressful and cognitively demanding events can disrupt EFs and interfere with health behavior, possibly to a greater extent in those with preexisting EF deficits. This study examined the association between preexisting EF deficits and subsequent negative changes in eating patterns, physical activity, sedentariness, and alcohol/substance use during the COVID-19 pandemic. Method: Participants were 374 young adults in a follow-up study of the longitudinal, multisite Study of Early Child Care and Youth Development (SECCYD). Preexisting EF deficits were assessed with the Barkley Deficits in Executive Function Scales-Short Form, and personally impactful negative changes in four health behaviors (physical activity, unhealthy eating, sedentary time, alcohol/substance use) during the COVID-19 pandemic were subsequently assessed with the Epidemic-Pandemic Impacts Inventory. Results: In ordered logistic regression models, higher preexisting total EF deficits were associated with greater negative impactful changes in physical activity and unhealthy eating, independent of sociodemographic variables, obesity, and (as relevant) accelerometer-based physical activity and pre-COVID-19 diet quality. Socioeconomic status moderated the association between total EF deficits and impactful change in alcohol/substance use, with EF deficits linked to greater impactful change in alcohol/substance use only in higher socioeconomic strata. Conclusion: Individuals with preexisting EF deficits appear more vulnerable to the negative impact of the COVID-19 pandemic on several key health behaviors. As the pandemic unfolds, strategies may be needed to identify those with EF deficits (e.g., screening tools) and provide them with tailored support for chronic disease risk reduction. [ABSTRACT FROM AUTHOR]