The impact of COVID-19 on the peer relationships of adolescents around the world: A rapid systematic review.

The main objective of this rapid systematic review was to examine how the COVID-19 pandemic impacted peer relationships for adolescents (10-25 years of age) around the globe. We focused on four indices of peer relationships: (1) loneliness, (2) social connectedness, (3) social support, and (4) social media use. In addition, we examined gender and age differences. Four databases (APA PsychInfo, PubMed, Scopus, and Web of Science) were searched for articles published from January 2020 to November 2022. A total of 96 studies (cross-sectional: n = 66, longitudinal: n = 30, quantitative: n = 67, qualitative: n = 12, mixed-methods: n = 17) met our inclusion criteria (empirical observational studies with data on at least one of the indices of interest, cross-sectional data on COVID-19-related experiences or longitudinal data collected during the pandemic, age range of 10-25 years, typically developing adolescents). We extracted data and conducted a narrative synthesis. Findings suggest that COVID-19 disruptions negatively impacted peer relationships for youth. Most studies reported either an increase in loneliness over the course of the pandemic or a positive association between loneliness and COVID-19-related experiences. Similar findings were observed for increased social media use as a means of continued communication and connection. Fewer studies focused on social support but those that did reported a decrease or negative association with COVID-19-related experiences. Lastly, findings suggest a mixed impact on social connectedness, which might be due to the strengthening of closer ties and weakening of more distant relationships. Results for gender differences were mixed, and a systematic comparison of differences across ages was not possible. The heterogeneity in measures of COVID-19-related experiences as well as timing of data collection prevented a more nuanced examination of short and more long-term impacts.

Informing Harmonization Decisions in Integrative Data Analysis: Exploring the Measurement Multiverse.

Combining datasets in an integrative data analysis (IDA) requires researchers to make a number of decisions about how best to harmonize item responses across datasets. This entails two sets of steps: logical harmonization, which involves combining items which appear similar across datasets, and analytic harmonization, which involves using psychometric models to find and account for cross-study differences in measurement. Embedded in logical and analytic harmonization are many decisions, from deciding whether items can be combined prima facie to how best to find covariate effects on specific items. Researchers may not have specific hypotheses about these decisions, and each individual choice may seem arbitrary, but the cumulative effects of these decisions are unknown. In the current study, we conducted an IDA of the relationship between alcohol use and delinquency using three datasets (total N = 2245). For analytic harmonization, we used moderated nonlinear factor analysis (MNLFA) to generate factor scores for delinquency. We conducted both logical and analytic harmonization 72 times, each time making a different set of decisions. We assessed the cumulative influence of these decisions on MNLFA parameter estimates, factor scores, and estimates of the relationship between delinquency and alcohol use. There were differences across paths in MNLFA parameter estimates, but fewer differences in estimates of factor scores and regression parameters linking delinquency to alcohol use. These results suggest that factor scores may be relatively robust to subtly different decisions in data harmonization, and measurement model parameters are less so.

An Integrative Data Analysis of Main and Moderated Crossover Effects of Parent-Mediated Interventions on Depression and Anxiety Symptoms in Youth in Foster Care.

Without preventative intervention, youth with a history of foster care (FC) involvement have a high likelihood of developing depression and anxiety (DA) symptoms. The current study used integrative data analysis to harmonize data across four foster and kinship parent-mediated interventions (and seven randomized control trials) designed to reduce youth externalizing and other problem behaviors to determine if, and for how long, these interventions may have crossover effects on youth DA symptoms. Moderation of intervention effects by youth biological sex, developmental period, number of prior placements, and race/ethnicity was also examined. Youth (N = 1891; 59% female; ages 4 to 18 years) behaviors were assessed via the Child Behavior Checklist, Parent Daily Report, and Eyberg Child Behavior Inventory at baseline, the end of the interventions (4-6 months post baseline), and two follow-up assessments (9-12 months and 18-24 months post baseline), yielding 4830 total youth-by-time assessments. The interventions were effective at reducing DA symptoms at the end of the interventions; however, effects were only sustained for one program at the follow-up assessments. No moderation effects were found. The current study indicates that parent-mediated interventions implemented during childhood or adolescence aimed at reducing externalizing and other problem behaviors had crossover effects on youth DA symptoms at the end of the interventions. Such intervention effects were sustained 12 and 24 months later only for the most at-risk youth involved in the most intensive intervention.

Methodological Strategies for Prospective Harmonization of Studies: Application to 10 Distinct Outcomes Studies of Preventive Interventions Targeting Opioid Misuse.

The Helping to End Addiction Long-Term (HEAL) Prevention Cooperative (HPC) is rapidly developing 10 distinct evidence-based interventions for implementation in a variety of settings to prevent opioid misuse and opioid use disorder. One HPC objective is to compare intervention impacts on opioid misuse initiation, escalation, severity, and disorder and identify whether any HPC interventions are more effective than others for types of individuals. It provides a rare opportunity to prospectively harmonize measures across distinct outcomes studies. This paper describes the needs, opportunities, strategies, and processes that were used to harmonize HPC data. They are illustrated with a strategy to measure opioid use that spans the spectrum of opioid use experiences (termed involvement) and is composed of common "anchor items" ranging from initiation to symptoms of opioid use disorder. The limitations and opportunities anticipated from this approach to data harmonization are reviewed. Lastly, implications for future research cooperatives and the broader HEAL data ecosystem are discussed.

COVID-19 Life Events Spill-Over on Family Functioning and Adolescent Adjustment.

We examined US parent and youth perceptions of how life events, both positive and negative, associated with COVID-19 resulted in changes in family and youth functioning. Families (n = 105, 80% white, 48% male, and 87% mothers) completed surveys during the pandemic (May to July 2020) and 3 years prior (for youth ages M = 10.6, SD = 1.17 and M = 13.6, SD = 1.19). Declines in youth, though not parent, report of open family communication, parental support, and family satisfaction were found. Declines were associated with various domains of pandemic-related stress in parent report, though positive life events served as buffers. Pre-pandemic family functioning also predicted pandemic stress. Spillover effects in turn impacted youth functioning. The current findings shed light on how experiences of the pandemic are linked with family functioning and have implications for how to support families during this time.

Adolescence Amid a Pandemic: Short- and Long-Term Implications.

Members of the Society for Research on Adolescents COVID-19 Response Team offer this commentary to accompany this special issue of the Journal of Research on Adolescence regarding the impact of the pandemic on adolescents' social, emotional, and academic functioning. In addition to outlining the critical need for scholarly collaboration to address the global impact of this crisis on adolescent development, we argue that a broad investigative lens is needed to guide research and recovery efforts targeting youth development. We then use this broad lens to consider dimensions of the pandemic impact relative to developmental implications within community and policy contexts, educational contexts, social contexts, and family contexts. Finally, we describe guideposts for setting a global, shared research agenda that can hasten research to recovery efforts surrounding the pandemic and youth development.

Harmonizing altered measures in integrative data analysis: A methods analogue study.

In the current study, we used an analogue integrative data analysis (IDA) design to test optimal scoring strategies for harmonizing alcohol- and drug-use consequence measures with varying degrees of alteration across four study conditions. We evaluated performance of mean, confirmatory factor analysis (CFA), and moderated nonlinear factor analysis (MNLFA) scores based on traditional indices of reliability (test-retest, internal, and score recovery or parallel forms) and validity. Participants in the analogue study included 854 college students (46% male; 21% African American, 5% Hispanic/Latino, 56% European American) who completed two versions of the altered measures at two sessions, separated by 2 weeks. As expected, mean, CFA, and MNLFA scores all resulted in scales with lower reliability given increasing scale alteration (with less fidelity to formerly developed scales) and shorter scale length. MNLFA and CFA scores, however, showed greater validity than mean scores, demonstrating stronger relationships with external correlates. Implications for measurement harmonization in the context of IDA are discussed.

Social network isolation mediates associations between risky symptoms and substance use in the high school transition.

The current study examined whether social status and social integration, two related but distinct indicators of an adolescent's standing within a peer network, mediate the association between risky symptoms (depressive symptoms and deviant behavior) and substance use across adolescence. The sample of 6,776 adolescents participated in up to seven waves of data collection spanning 6th to 12th grades. Scores indexing social status and integration were derived from a social network analysis of six schools and subsequent psychometric modeling. Results of latent growth models showed that social integration and status mediated the relation between risky symptoms and substance use and that risky symptoms mediated the relation between social standing and substance use during the high school transition. Before this transition, pathways involving deviant behavior led to high social integration and status and in turn to substance use. After this transition, both deviant behavior and depressive symptoms led to low social integration and status and in turn greater substance use. These findings suggest that the high school transition is a risky time for substance use related to the interplay of increases in depressive symptoms and deviant behavior on the one hand and decreases in social status and integration on the other.

A Latent Variable Approach to Measuring Social Dynamics in Adolescence.

In the study of adolescent health, it is useful to derive indices of social dynamics from sociometric data, and to use these indices as predictors of health risk behaviors. In this manuscript, we introduce a flexible latent variable model as a novel way of obtaining estimates of social integration and social status from school-based sociometric data. Such scores provide the flexibility of a regression-based approach while accounting for measurement error in sociometric indicators. We demonstrate the utility of these factor scores in testing complex hypotheses through a combination of structural equation modeling and survival models, showing that deviance mediates the relationship between social status and smoking onset hazard at the transition to high school.

Assessing the Robustness of Mixture Models to Measurement Noninvariance.

Recent work reframes direct effects of covariates on items in mixture models as differential item functioning (DIF) and shows that, when present in the data but omitted from the fitted latent class model, DIF can lead to overextraction of classes. However, less is known about the effects of DIF on model performance-including parameter bias, classification accuracy, and distortion of class-specific response profiles-once the correct number of classes is chosen. First, we replicate and extend prior findings relating DIF to class enumeration using a comprehensive simulation study. In a second simulation study using the same parameters, we show that, while the performance of LCA is robust to the misspecification of DIF effects, it is degraded when DIF is omitted entirely. Moreover, the robustness of LCA to omitted DIF differs widely based on the degree of class separation. Finally, simulation results are contextualized by an empirical example.

Parenting Adolescents in an Increasingly Diverse World: Defining, Refining, and Extending Theory and Research.

This introduction to the Special Issue on Parenting Adolescents in an Increasingly Diverse World explores how increasing population diversity may provide a context for changes in the parenting of adolescents. In this issue, authors (1) explore the context for asking questions about parenting adolescents and diversity, (2) consider parents, adolescents, and parenting in different diversity contexts, and (3) reflect on crosscutting themes. Two articles examine the parenting in an international context and within changing domestic demographics. Four articles focus on parenting adolescents in traditionally marginalized groups with the goal of identifying lessons for supporting all youth in navigating an increasingly diverse world. Finally, two articles synthesize these articles to suggest important directions for future research.

Depressive Symptomology as a Moderator of Friend Selection and Influence on Substance Use Involvement: Estimates from Grades 6 to 12 in Six Longitudinal School-Based Social Networks.

Although the contributions of friend selection and friend influence to adolescent homophily on substance use behaviors has been of enduring research interest, moderators of these processes have received relatively little research attention. Identification of factors that dampen or amplify selection and influence on substance use behaviors is important for informing prevention efforts. Whereas prior research has examined adolescent drinking, smoking, and marijuana use, the current study examined whether friend selection and friend influence operated on substance use involvement, an indicator of problematic use, and whether depressive symptomology moderated these processes. In addition, it examined whether these relationships varied from grade 6 to 12. The study used a cohort-sequential design in which three cohorts of youth (first surveyed in grades, 6, 7, and 8) in six school-based longitudinal social networks were surveyed up to seven times, yielding N = 6817 adolescents (49% female). Stochastic actor-oriented models were applied to test hypothesized relationships in the six networks, then results were synthesized in a meta-analysis. Depressive symptoms did not moderate selection or influence on substance use involvement at any grade level, but indirectly contributed to diffusion of substance use involvement through school networks via patterns of network ties. Research is needed on contextual factors, particularly in schools, that might account for when, if at all, depressive symptoms condition friend selection and influence on substance use.

Modeling Trajectories of Adolescent-Perceived Family Conflict: Effects of Marital Dissatisfaction and Parental Alcoholism.

We evaluated the effects of marital dissatisfaction on adolescent-perceived conflict in 435 families with and without a parental history of alcoholism. On average, family conflict decreased linearly as adolescents aged. Families with an alcoholic parent demonstrated higher adolescent-reported family conflict and this effect was partially mediated by higher mother- and father-reported marital dissatisfaction. Families with higher marital dissatisfaction had greater conflict when adolescents were young (based on fathers' marital dissatisfaction) and as they aged (based on mother's marital dissatisfaction). Years in which mothers reported higher marital dissatisfaction than usual coincided with years in which adolescents reported greater family conflict. Results indicate that marital dissatisfaction has both within and between-family effects on adolescent perceptions of conflict.

Intergenerational continuity in high-conflict family environments.

In the current study, we examined continuity in conflict across generations and explored potential mediators and moderators that could explain this continuity. We followed 246 targets from adolescence to adulthood and examined family conflict as reported by multiple reporters in targets' family of origin and current families. Results showed that conflict in the current family was strongly correlated with that of the family of origin in women but not in men. Continuity in family conflict across generations was mediated by patterns of elevated adolescent externalizing behavior in members of the second generation (G2). In addition, analyses revealed an interaction between both G2 partners' externalizing behavior such that if one partner in the G2 family demonstrated high levels of externalizing behavior, elevated levels of family conflict resulted. Potential explanations and implications of these findings are considered.

A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis.

Integrative data analysis (IDA) is a methodological framework that allows for the fitting of models to data that have been pooled across two or more independent sources. IDA offers many potential advantages including increased statistical power, greater subject heterogeneity, higher observed frequencies of low base-rate behaviors, and longer developmental periods of study. However, a core challenge is the estimation of valid and reliable psychometric scores that are based on potentially different items with different response options drawn from different studies. In Bauer and Hussong (2009) we proposed a method for obtaining scores within an IDA called moderated nonlinear factor analysis (MNLFA). Here we move significantly beyond this work in the development of a general framework for estimating MNLFA models and obtaining scale scores across a variety of settings. We propose a five step procedure and demonstrate this approach using data drawn from n=1972 individuals ranging in age from 11 to 34 years pooled across three independent studies to examine the factor structure of 17 binary items assessing depressive symptomatology. We offer substantive conclusions about the factor structure of depression, use this structure to compute individual-specific scale scores, and make recommendations for the use of these methods in practice.

Peer connectedness and substance use in adolescence: A systematic review and meta-analysis.

OBJECTIVE: Adolescents' relationships with their peers play a pivotal role in their substance-use behaviors. As such, decades of research have examined how substance use relates to adolescents' overall levels of closeness to their peers, here termed peer connectedness, with mixed results. This report sought to determine how the operationalizations of peer connectedness and substance use affect the nature of the relationship between them. METHOD: We used a systematic review strategy to find a comprehensive set of studies investigating the relationship between peer connectedness and substance use. Three-level meta-analytic regression was used to empirically test whether the operationalization of these variables moderates effect sizes across studies. RESULTS: We found 147 studies, of which 128 were analyzed using multilevel meta-analytic regression models. Operationalizations of peer connectedness varied widely, encompassing sociometric and self-report measures. Of these measures, sociometric indices specifically pertaining to popularity were most strongly predictive of substance use. Less consistent relationships were observed between substance use and sociometric measures of friendship, as well as with self-report measures. CONCLUSIONS: Being perceived as popular by one's peers is positively related to substance use among adolescents. This relationship is stronger and more consistent than those between substance use and other peer-connectedness variables, underscoring the necessity of operationalizing these constructs specifically and clearly. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Integrative data analysis in clinical psychology research.

Integrative data analysis (IDA), a novel framework for conducting the simultaneous analysis of raw data pooled from multiple studies, offers many advantages including economy (i.e., reuse of extant data), power (i.e., large combined sample sizes), the potential to address new questions not answerable by a single contributing study (e.g., combining longitudinal studies to cover a broader swath of the lifespan), and the opportunity to build a more cumulative science (i.e., examining the similarity of effects across studies and potential reasons for dissimilarities). There are also methodological challenges associated with IDA, including the need to account for sampling heterogeneity across studies, to develop commensurate measures across studies, and to account for multiple sources of study differences as they impact hypothesis testing. In this review, we outline potential solutions to these challenges and describe future avenues for developing IDA as a framework for studies in clinical psychology.

Future directions in the developmental science of addictions.

This article addresses important future directions for the study of addictions, emphasizing the incorporation of developmental perspectives into how we think about substance use and disorder as unfolding processes over time and context for a heterogeneous group of individuals. These perspectives articulate complexities in the developmental processes that underlie change and continuity in human behavior over time. We consider two key developmental concepts, namely, "time" and "heterogeneity." We argue that a lack of attention to time sampling creates ambiguity in the meaning of time-linked assessments, challenges in discerning which of multiple clocks may govern behavior, and the inability in some instances to distinguish which of multiple etiological processes may be driving behavior within our samples. Moreover, artificial divisions among disorders that commonly co-occur with substance use are a barrier to the further integration of the study and treatment of addictions with that of psychopathology. Similar to recent changes in the study of psychiatric disorders more broadly, we argue that identifying common deficits among commonly comorbid disorders, rather than patterns of comorbidity per se, is key to identifying early emerging risk factors for substance use and disorder, with important implications for identifying risk populations and developmental periods as well as potentially malleable intervention targets. Attention to time sampling in theory-driven research designs and attempts to identify more homogenous groups of individuals who use and eventually abuse substances over time are two examples of ways to better understand some of the complexity underlying the development of addictions.

Problematic Substance Use among Sexual Minority and Heterosexual Young Adults during COVID-19.

Sexual minority young adults (SMYAs), compared to heterosexual young adults (HYAs), are a uniquely high-risk population for problematic substance use, a disparity perhaps exacerbated by the COVID-19 pandemic. This study tested whether SMYAs had more problematic substance use than HYAs during the pandemic due to isolation and loneliness as well as lower family closeness. Participants (N = 141) aged 23-29 completed self-report surveys in 2014-2015 as college students and in the summer of 2021 as young adults (59% White, 26% Black/African American, 9% Asian/Middle Eastern, 6% Hispanic/Latino, and <1% American Indian/Alaska Native). Results of multivariate regression and multiple group path analyses did not support hypothesized effects-SMYAs did not have greater increases in problematic substance use compared to HYAs, isolation and loneliness were not significant mediators, and family closeness was not a significant moderator. However, SMYAs experienced a lack of social safety-increased loneliness and decreased family closeness-compared to HYAs. Further research is needed to investigate both the impact and underlying processes of this decreased social safety on SMYA well-being beyond the pandemic to better inform tailored supports and interventions.

Generation COVID: Young adult substance use.

Opposing theories posited that young adult substance use during the COVID-19 pandemic would decline due to restricted access and social engagement or increase due to efforts to cope with rising distress, loneliness, and isolation. Peer-reviewed global longitudinal studies found (a) overall declines in commonly used substances in 2020 with some rebounding in 2021; (b) individual differences in this pattern, with declines linked to factors limiting access and increases to pre-existing risk; and (c) under-developed evidence to evaluate increased coping-related use. Given potential links between surging mental health disorders and substance use, further surveillance and wider dissemination of substance use programming is needed, particularly for vulnerable individuals and settings.