2022

Adolescents’ self-control develops in the context of mental health and family functioning, but it is unclear how the interplay of self-control, mental health, and family functioning unfolds across time within individuals. Separating within-person from between-person effects, random-intercept cross-lagged panel models were applied to adolescents (from ages 11 to 26) from a Dutch cohort (n = 2228, 51% female). Adolescents with low self-control were likely to have mental health problems and poorly functioning families. Although within-person changes in the study variables were not meaningfully associated in a reciprocal manner, changes in self-control and mental health were concurrently associated. This suggests that besides stable connections between self-control, mental health, and family functioning in adolescence and young adulthood, changes in self-control and mental health are developmentally linked as well.

Introduction. Dynamic relations between genetic, hormone, and pre- and postnatal environments are theorized as critically important for adolescent substance use but are rarely tested in multifactorial models. This study assessed the impact of interactions of genetic risk and cortisol reactivity with prenatal and parenting influences on both any and frequency of adolescent substance use. Methods. Data are from the TRacking Adolescents' Individual Lives Survey (TRAILS), a prospective longitudinal, multi-rater study of 2,230 Dutch adolescents. Genetic risk was assessed via 3 substance-specific polygenic scores. Mothers retrospectively reported prenatal risk when adolescents were 11 years old. Adolescents rated their parents' warmth and hostility at age 11. Salivary cortisol reactivity was measured in response to a social stress task at age 16. Adolescents' self-reported cigarette, alcohol, and cannabis use frequency at age 16. Results. A multivariate hurdle regression model showed that polygenic risk for smoking, alcohol, and cannabis predicted any use of each substance, respectively, but predicted more frequent use only for smoking. Blunted cortisol reactivity predicted any use and more frequent use for all 3 outcomes. There were 2 interactions: blunted cortisol reactivity exacerbated the association of polygenic risk with any smoking and the association of prenatal risk with any alcohol use. Conclusion. Polygenic risk seems of importance for early use but less so for frequency of use, whereas blunted cortisol reactivity was correlated with both. Blunted cortisol reactivity may also catalyze early risks for substance use, though to a limited degree. Gene-environment interactions play no role in the context of this multifactorial model. © 2021 S. Karger AG, Basel.

Background. Genetic and environmental influences on externalizing problems are often studied separately. Here, we extended prior work by investigating the implications of gene–environment interplay in childhood for early adult externalizing behavior. Genetic nurture would be indicated if parents' genetic predisposition for externalizing behavior operates through the family environment in predicting offspring early adult externalizing behavior. Evocative gene–environment correlation would be indicated if offspring genetic predisposition for externalizing behavior operates through child externalizing behavior in affecting the family environment and later early adult externalizing behavior. Method. Longitudinal data from seven waves of the TRacking Adolescents' Individual Lives Survey, a prospective cohort study of Dutch adolescents followed from age 11 to age 29 (n at baseline = 2,734) were used. Child externalizing behavior was assessed using self and parent reports. Family dysfunction was assessed by parents. Early adult externalizing behavior was assessed using self-reports. Genome-wide polygenic scores for externalizing problems were constructed for mothers, fathers, and offspring. Results. Offspring polygenic score and child behavior each predicted early adult externalizing problems, as did family dysfunction to a small extent. Parents' polygenic scores were not associated with offspring's early adult externalizing behavior. Indirect effect tests indicated that offspring polygenic score was associated with greater family dysfunction via child externalizing behavior (evocative gene–environment correlation) but the effect was just significant and the effect size was very small. Parents' polygenic scores did not predict family dysfunction, thus the data do not provide support for genetic nurture. Conclusions. A very small evocative gene–environment correlation was detected but effect sizes were much more pronounced for stability in externalizing behavior from childhood through early adulthood, which highlights the necessity to intervene early to prevent later problems.

What was already known about this topic?

Several studies have examined work-family trajectories in different populations. However, little is known about work-family trajectories of the current generation of young adults, i.e. people who were born in the 1990s. Additionally, the link between early life mental health experiences and subsequent work-family trajectories has not been well examined.

What does this study add?

Six work-family trajectories at ages 18–28 were identified in people born in 1990s with main difference between trajectories of women and men being the timing of parenthood. Mental health in adolescence was associated with later work-family trajectories: In women, behavioural problems were associated with a parenthood trajectory and in men, emotional problems were associated with a long education trajectory.

Commonly used methods for modelling early life adversity (e.g., sum-scores, latent class or trajectory approaches, single-adversity approaches, and factor-analytical approaches) have not been able to capture the complex nature of early life adversity. We propose network analysis as an alternative way of modelling early life adversity (ELA). Our aim was to construct a network of fourteen adverse events (AEs) that occurred before the age of 16 in the TRacking Adolescents Individual Lives Survey (TRAILS, N = 1029). To show how network analysis can provide insight into why AEs are associated, we compared findings from the resulting network model to findings from tetrachoric correlation analyses. The resulting network of ELA comprised direct relationships between AEs and more complex, indirect relationships. A total of fifteen edges emerged in the network of AEs (out of 91 possible edges). The correlation coefficients suggested that many AEs were associated. The network model of ELA indicated, however, that several associations were attributable to interactions with other AEs. For example, the zero-order correlation between parental addiction and familial conflicts (0.24) could be explained by interactions with parental divorce. Our application of network analysis shows that using network analysis for modelling the ELA construct allows capturing the constructs' complex nature. Future studies should focus on gaining more insight into the most optimal model estimation and selection procedures, as well as sample size requirements. Network analysis provides researchers with a valuable tool that allows them as well as policy-makers and professionals to gain insight into potential mechanisms through which adversities are associated with each other, and conjunctively, with life course outcomes of interest.

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Acceptance and rejection by parents and peers play an important role in pre-adolescents’ educational outcomes. Prior research focused on either parents or peers, did not encompass effects into adulthood, or considered either acceptance or rejection. This study investigated the relation between parental and peer acceptance and rejection, and their interplay, in pre-adolescence and educational attainment in early adulthood. A sample of 2229 pre-adolescents (M_age T1 = 11.11, SD = 0.56; 50.7% girls) was followed to early adulthood (M_age T5 = 22.29, SD = 0.65). Ordinal logistic regression showed that pre-adolescents’ perceived parental acceptance was positively related to educational attainment in early adulthood, whereas peer rejection was negatively related, even when WISC score and socioeconomic status were considered. No interaction effects were found, revealing no “dual-hit effect” of being rejected by parents and peers, no “dual-miss effect” of being accepted by parents and peers, and no effects of acceptance in one context (i.e., parents or peers) buffering the negative effect of rejection in the other context. The findings underscore unique and long-term links of parental acceptance and peer rejection with early adults’ educational attainment, underlining the importance of not only peers but also parents in adolescence. These insights can be used in promoting long-term educational outcomes through relationships with parents and peers.