Individual differences in the timing and tempo of pubertal development have been shown to be related to depressive symptoms during adolescence, particularly among girls. Another measure of variability in pubertal development is pubertal synchrony, the degree to which the development of pubertal indicators (e.g., breast growth and ancillary hair growth) are synchronized within the individual. Pubertal synchrony also has been hypothesized to be related to depressive symptoms, but, to date, only one study has tested this hypothesis. However, it remains unclear whether pubertal synchrony confers risk for depressive symptoms more proximally in time or differentially among boys or non-White youth. The current study examined the relation between pubertal synchrony and depressive symptoms concurrently and six months later as a function of race and sex in a community sample of 215 youth (53% female, 44.7% African American; Mean age = 12.90 years (SD = 0.86)). Girls with asynchronous development at Time 1 reported significantly higher depressive symptoms at Time 2 than girls with synchronous development and boys with asynchronous development. In addition, boys with asynchronous development at Time 1 had lower depressive symptoms at Time 2 than boys with synchronous development. Race did not moderate pubertal synchrony -depression relations. These results suggest that pubertal asynchrony is a risk factor for girls, but a protective factor for boys, and lend support for pubertal synchrony as a potential contributor to the gender gap in depression that emerges during adolescence.
Background
Temperamental behavioral inhibition (BI) in children predicts later anxiety disorders. However, many children with BI do not develop anxiety disorders, suggesting the importance of identifying moderating factors. The current study examined whether parents’ history of BI moderates the associations between preschoolers’ BI and anxiety disorders at age 9.
Methods
The sample was 392 children and their parents from the community. Child BI was measured at age 3 using observational (Laboratory Temperament Assessment Battery; Lab-TAB) and parent report (Behavior Inhibition Questionnaire; BIQ) measures. In addition, both parents reported on their own history of childhood BI using the Retrospective Measure of Behavioral Inhibition (RMBI). When the children were 9 years old, a parent and the child were interviewed using the Kiddie Schedule for the Affective Disorders and Schizophrenia – Present and Lifetime version (K-SADS-PL).
Results
Parents’ reports of their own BI moderated the associations of both observed and parent-reported child BI at age 3 with children’s anxiety disorders at age 9. Among children whose parents reported having had higher childhood BI, those who exhibited high BI at age 3 were more likely to meet criteria for anxiety disorders at age 9.
Limitations
The major limitation is the use of a retrospective measure of parental BI.
Conclusions
These findings demonstrate that parents’ histories of childhood BI moderate the association between their young children’s BI and subsequent anxiety disorders. Thus, parental BI appears to identify a subgroup of BI children at particularly high risk for developing anxiety disorders by late childhood.
Depression increases dramatically during adolescence. This finding has been demonstrated using multiple measures, including the Children's Depression Inventory (CDI). The CDI is one of the most commonly used measures to assess depression in youth. However, there is little agreement on its factor structure, and it is possible that its factor structure changes over time. Yet, no study to date has investigated whether this structure is longitudinally invariant from early-to midadolescence. The present study examined the factor structure of the CDI in a sample of 227 adolescents aged approximately 13 at baseline and 16 at follow-up. The analyses revealed that a one-factor structure was a good fit to the data at each assessment. Moreover, tests of measurement invariance supported configural, metric, and scalar invariance across time. These findings suggest that changes in depressive symptoms during adolescence are due to true developmental changes, rather than changes in measurement properties.
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