Internalizing symptoms are the most prevalent mental health problem in adolescents, with sharp increases seen, particularly for girls, and evidence that young people today report more problems than previous generations. It is therefore critical to measure and monitor these states on a large scale and consider correlates. We used novel panel network methodology to explore relationships between internalizing symptoms, well-being, and inter/intrapersonal indicators. A multiverse design was used with 32 conditions to consider the stability of results across arbitrary researcher decisions in a large community sample over three years (N = 15,843, aged 11–12 at Time 1). Networks were consistently similar for girls and boys. Stable trait-like effects within anxiety, attentional, and social indicators were found. Within-person networks were densely connected and suggested mental health and inter/intrapersonal correlates related to one another in similar complex ways. The multiverse design suggested the particular operationalization of items can substantially influence conclusions. Nevertheless, indicators such as thinking clearly, unhappiness, dealing with stress, and worry showed more consistent centrality, suggesting these indicators may play particularly important roles in the development of mental health in adolescence.

Research on marital quality and child well-being is currently limited by its common use of geographically constrained, homogenous, and often cross-sectional (or at least temporally limited) samples. We build upon previous work showing multiple trajectories of marital quality and data from the National Longitudinal Survey of Youth-1979 (NLSY79) regarding mothers and their children (inclusive of ages 5–14). We examine how indicators of child well-being are linked to parental trajectories of marital quality (happiness, communication, and conflict). Results showed children whose parents had consistently poor marital quality over the life course exhibited more internalizing and externalizing problems, poorer health, lower quality home environments, and lower math and vocabulary scores than children of parents in consistently higher-quality marriages. Group differences remained stable over time for child health, home environment, and vocabulary scores. Group differences for internalizing problems declined over time, whereas group differences increased for externalizing problems and math scores. Initial advantages for females across nearly all indicators of child well-being tended to shrink over time, with boys often moving slightly ahead by mid adolescence. We discuss the implications of these findings in regard to children's development and well-being and suggest treating marriage as a monolithic construct betrays important variation within marriage itself.

We evaluated whether the association between deviant peer affiliation and onset of substance use is conditional upon sex and sympathetic nervous system (SNS) reactivity as measured by pre-ejection period (PEP). Community-sampled adolescents (N = 251; M = 15.78 years; 53% female; 66% White, 34% Black) participated in three waves. PEP reactivity was collected during a mirror star-tracer stress task. Alcohol, marijuana, tobacco, or any substance use, as well as binge drinking and sexual activity involving substance use were outcomes predicted by affiliation with deviant peers and two- and three-way interactions with sex and PEP reactivity. Probability of substance use increased over time, but this was amplified for adolescents with greater deviant peer affiliation in conjunction with blunted PEP reactivity. The same pattern of results was also found for prediction of binge drinking and sexual activity involving substance use. Findings are discussed in the context of biosocial models of adolescent substance use and health risk behaviors.

Erikson's psychosocial developmental theory assumes that valence of one's identity (i.e., identity content valence) defined by positive and negative identity elements is important for understanding patterns of (mal)adaptation. However, previous empirical research on identity and (mal)adaptation has focused on how individuals deal with identity issues (e.g., exploration and commitment), while neglecting identity content valences. In contrast, this study assessed identity content valences in terms of positive and negative identity elements. Theoretically, identity content valences affect (mal)adaptation, whereas individuals’ (mal)adaptation influences their identities. Consequently, this study examined reciprocal relationships between identity content valences and adaptation (i.e., prosocial behaviors) and maladaptation (e.g., externalizing symptoms) in a sample of Japanese young adults, including socioculturally relevant indicators of maladaptation (i.e., hikikomori symptoms and suicidal ideation). This study includes 2,313 Japanese young adults who participated in a three-wave longitudinal study. The cross-lagged panel model and random intercept cross-lagged panel model revealed reciprocal relationships between identity content valences and (mal)adaptation at the between-person level. Negative identity elements positively predicted suicidal ideation. Meanwhile, prosocial behaviors positively predicted positive identity elements, whereas hikikomori symptoms and suicidal ideation positively predicted negative identity elements. These relationships were significant only for socioculturally relevant indicators, suggesting the importance of considering sociocultural contexts.

Irritability is a transdiagnostic feature of diverse forms of psychopathology and a rapidly growing literature implicates the construct in child maladaptation. However, most irritability measures currently used are drawn from parent-report questionnaires not designed to measure irritability per se; furthermore, parent report methods have several important limitations. We therefore examined the utility of observational ratings of children's irritability in predicting later psychopathology symptoms. Four-hundred and nine 3-year-old children (208 girls) completed observational tasks tapping temperamental emotionality and parents completed questionnaires assessing child irritability and anger. Parent-reported child psychopathology symptoms were assessed concurrently to the irritability assessment and when children were 5 and 8 years old. Children's irritability observed during tasks that did not typically elicit anger predicted their later depressive and hyperactivity symptoms, above and beyond parent-reported irritability and context-appropriate observed anger. Our findings support the use of observational indices of irritability and have implications for the development of observational paradigms designed to assess this construct in childhood.

Life course theorists posit that sensitive periods exist during life span development where risk and protective factors may be particularly predictive of psychological outcomes relative to other periods in life. While there have been between-cohort studies trying to examine differences in discrimination and depressive symptoms, these studies have not been designed to identify these sensitive periods, which are best modeled by examining intra-individual change across time. To identify sensitive periods where discrimination and shift-&-persist (S&P) – a coping strategy that may protect against the negative impact of discrimination – are most strongly predictive of depressive symptoms, we employed latent growth curve modeling using an accelerated longitudinal design to track intra-individual change in depressive symptoms from ages 20–69. Participants were 3,685 adults measured at three time points ~10 years apart from the Midlife in the United States study (Mage = 37.93, SD = 6.948 at Wave I). Results identified two sensitive periods in development where high levels of S&P interacted with discrimination to protect against depressive symptoms; during the 30s and a lagged effect where 40's S&P protected against depressive symptoms when participants were in their 50s. Implications for the life course study of discrimination, coping, and depression are discussed.

Justice sensitivity (JS), the tendency to perceive and negatively respond to alleged injustice, has been associated with a range of internalizing and externalizing problems and peer victimization; however, it remains unclear if it has an association with self-victimization. Participants (N = 769) reported on their JS longitudinally at 9–19 (T1), 11–21 (T2), and 14–22 years of age (T3). They further reported on nonsuicidal self-injury (NSSI) and illegal substance use as indicators of self-victimization as well as victimization by peers at T2 and T3. A cross-lagged latent model revealed that victim JS at T1 was positively associated with NSSI, substance use, and peer victimization at T2, and victim JS at T2 was positively associated with substance use at T3. Higher observer JS at T2 predicted higher illegal substance use at T3 and higher illegal substance use at T2 predicted higher observer JS at T3. Finally, higher peer victimization at T2 predicted less perpetrator JS at T3 in the total group. Multigroup models further revealed sex-specific effects. Our findings highlight that being sensitive to injustice, particularly the tendency to feel unfairly treated or being taken advantage of, contributes to individuals’ vulnerability to both engaging in behaviors reflecting self-victimization and being a target of peer victimization, which in turn have influences on JS.

Conduct disorder (CD), characterized by youth antisocial behavior, is associated with a variety of neurocognitive impairments. However, questions remain regarding the neural underpinnings of these impairments. To investigate novel neural mechanisms that may support these neurocognitive abnormalities, the present study applied a graph analysis to resting-state functional magnetic resonance imaging (fMRI) data collected from a national sample of 4,781 youth, ages 9–10, who participated in the baseline session of the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®). Analyses were then conducted to examine the relationships among levels of CD symptomatology, metrics of global topology, node-level metrics for subcortical structures, and performance on neurocognitive assessments. Youth higher on CD displayed higher global clustering (β = .039, 95% CIcorrected [.0027 .0771]), but lower Degreesubcortical (β = −.052, 95% CIcorrected [−.0916 −.0152]). Youth higher on CD had worse performance on a general neurocognitive assessment (β = −.104, 95% CI [−.1328 −.0763]) and an emotion recognition memory assessment (β = −.061, 95% CI [−.0919 −.0290]). Finally, global clustering mediated the relationship between CD and general neurocognitive functioning (indirect β = −.002, 95% CI [−.0044 −.0002]), and Degreesubcortical mediated the relationship between CD and emotion recognition memory performance (indirect β = −.002, 95% CI [−.0046 −.0005]). CD appears associated with neuro-topological abnormalities and these abnormalities may represent neural mechanisms supporting CD-related neurocognitive disruptions.

Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis (CFA) has been identified as a prime method for a person-oriented analysis of categorical data. CFA searches for configurations in cross-classifications and asks whether the number of observed cases is larger (CFA type) or smaller (CFA antitype) than expected under a probability model. The present study introduces a combination of CFA and model-based recursive partitioning (MOB) to test for type/antitype heterogeneity in the population. MOB CFA is well suited to detect complex moderation processes and can distinguish between subpopulation and population types/antitypes. Model specifications are discussed for first-order CFA and prediction CFA. Results from two simulation studies suggest that MOB CFA is able to detect moderation processes with high accuracy. Two empirical examples are given from school mental health research for illustrative purposes. The first example evaluates heterogeneity in student behavior types/antitypes, the second example focuses on the effect of a teacher classroom management intervention on student behavior. An implementation of the approach is provided in R.

Growth mixture modeling (GMM) and its variants, which group individuals based on similar longitudinal growth trajectories, are quite popular in developmental and clinical science. However, research addressing the validity of GMM-identified latent subgroupings is limited. This Monte Carlo simulation tests the efficiency of GMM in identifying known subgroups (k = 1–4) across various combinations of distributional characteristics, including skew, kurtosis, sample size, intercept effect size, patterns of growth (none, linear, quadratic, exponential), and proportions of observations within each group. In total, 1,955 combinations of distributional parameters were examined, each with 1,000 replications (1,955,000 simulations). Using standard fit indices, GMM often identified the wrong number of groups. When one group was simulated with varying skew and kurtosis, GMM often identified multiple groups. When two groups were simulated, GMM performed well only when one group had steep growth (whether linear, quadratic, or exponential). When three to four groups were simulated, GMM was effective primarily when intercept effect sizes and sample sizes were large, an uncommon state of affairs in real-world applications. When conditions were less ideal, GMM often underestimated the correct number of groups when the true number was between two and four. Results suggest caution in interpreting GMM results, which sometimes get reified in the literature.

Parent-Child interaction therapy (PCIT) has been shown to improve positive, responsive parenting and lower risk for child maltreatment (CM), including among families who are already involved in the child welfare system. However, higher risk families show higher rates of treatment attrition, limiting effectiveness. In N = 120 child welfare families randomized to PCIT, we tested behavioral and physiological markers of parent self-regulation and socio-cognitive processes assessed at pre-intervention as predictors of retention in PCIT. Results of multinomial logistic regressions indicate that parents who declined treatment displayed more negative parenting, greater perceptions of child responsibility and control in adult–child transactions, respiratory sinus arrhythmia (RSA) increases to a positive dyadic interaction task, and RSA withdrawal to a challenging, dyadic toy clean-up task. Increased odds of dropout during PCIT's child-directed interaction phase were associated with greater parent attentional bias to angry facial cues on an emotional go/no-go task. Hostile attributions about one's child predicted risk for dropout during the parent-directed interaction phase, and readiness for change scores predicted higher odds of treatment completion. Implications for intervening with child welfare-involved families are discussed along with study limitations.

Comorbidity between anxiety and depression symptoms is often high in children. Person-oriented statistical approaches are useful to detect heterogeneity of individuals and diverse patterns of response to treatment. This study aimed to explore the different profiles in a sample of Spanish children who received the Super Skills for Life (SSL) transdiagnostic program, to identify which profile of individuals benefited most from the intervention and the likelihood of transition of symptom patterns over time. Participants were 119 children (42.9% were female) aged 8–12 years old (M = 9.39; SD = 1.26). Children completed anxiety and depression measures at the baseline, postintervention, and 12-months follow-up. Results from latent transition analysis (LTA) revealed two groups depending on the severity of the anxiety and depression symptoms: low symptoms (LS) and high symptoms (HS). LS group remained stable and HS decreased by 25%, switching to the LS group. Children with greater social anxiety benefited most from the program over time. Furthermore, older children were more likely to improve rapidly one year after the intervention compared to younger children. This study provides information to consider when implementing preventive interventions for schoolchildren and to tailor them according to the target population characteristics to increase their effectiveness.