Exposure to adverse childhood experiences (ACEs) is prevalent and confers risk for psychopathology later in life. Approaches to understanding the impact of ACEs on development include the independent risk approach, the Dimensional Model of Adversity and Psychopathology (DMAP) distinguishing between threat and deprivation events, and the cumulative risk approach. The present research provides an empirical confirmation of DMAP and a comparison of these three approaches in predicting internalizing and externalizing symptoms in youth. In Study 1, mental health professionals (N = 57) rated ACEs as threat or deprivation events. These ratings were used to create composites to represent the DMAP approach in Study 2. With cross-sectional and longitudinal data from children and adolescents in state custody (N = 23,850), hierarchical linear regression analyses examined independent risk, DMAP, and cumulative risk models in predicting internalizing symptoms, disinhibited externalizing symptoms, and antagonistic externalizing symptoms. All three approaches produced significant models and revealed associations between exposure to ACEs and symptoms. Individual risk accounted for significantly more variance in symptoms than cumulative risk and DMAP. Cumulative risk masked differential associations between ACEs and psychological symptoms found in the individual risk and DMAP approaches. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Background: Although ecological momentary assessment (EMA) has been applied in psychological research for decades, delivery methods have evolved with the proliferation of digital technology. Technological advances have engendered opportunities for enhanced accessibility, convenience, measurement precision, and integration with wearable sensors. Notwithstanding, researchers must navigate novel complexities in EMA research design and implementation. Objective: In this paper, we aimed to provide guidance on platform selection for clinical scientists launching EMA studies. Methods: Our team includes diverse specialties in child and adolescent behavioral and mental health with varying expertise on EMA platforms (eg, users and developers). We (2 research sites) evaluated EMA platforms with the goal of identifying the platform or platforms with the best fit for our research. We created a list of extant EMA platforms; conducted a web-based review; considered institutional security, privacy, and data management requirements; met with developers; and evaluated each of the candidate EMA platforms for 1 week. Results: We selected 2 different EMA platforms, rather than a single platform, for use at our 2 research sites. Our results underscore the importance of platform selection driven by individualized and prioritized laboratory needs; there is no single, ideal platform for EMA researchers. In addition, our project generated 11 considerations for researchers in selecting an EMA platform: (1) location; (2) developer involvement; (3) sample characteristics; (4) onboarding; (5) survey design features; (6) sampling scheme and scheduling; (7) viewing results; (8) dashboards; (9) security, privacy, and data management; (10) pricing and cost structure; and (11) future directions. Furthermore, our project yielded a suggested timeline for the EMA platform selection process. Conclusions: This study will guide scientists initiating studies using EMA, an in vivo, real-time research tool with tremendous promise for facilitating advances in psychological assessment and intervention.

We compared language comprehension and production across the second year of life in children of clinically depressed mothers who later remitted with children of nondepressed mothers. Altogether, 157 mother–child dyads participated: 46 with mothers diagnosed at infant age 5 months as having major, minor, or other depressive disorders who fully remitted by 15 and 24 months and 111 with nondepressed mothers. The majority of mothers (mean [M] age = 32.8 years) were married, European American, and college educated. The groups did not differ on most sociodemographic indices, and analyses controlled for residual group differences in maternal education and child birth order. Children of early clinically depressed mothers understood fewer words at 15 months (by maternal report on the MacArthur Communicative Development Inventory [MCDI]) and 24 months (by experimenter-administered Reynell Developmental Language Scales [RDLS]) than children of nondepressed mothers. Children of nondepressed mothers increased in language comprehension from 15 to 24 months, whereas children of early clinically depressed mothers did not. Aggregating over 15 and 24 months, nondepressed mothers reported that their children expressed more words than clinically depressed mothers reported their children expressed; experimenter assessment revealed no difference between the two groups. Maternal clinical depression in the first 5 months is related to reduced language comprehension and production during the second year of life even in children whose mothers remit, indicating an early experience effect of maternal clinical depression in muting child language development. Future research should identify the mechanisms by which this early experience effect occurs to inform targeted early preventative interventions for at-risk children.

Background: The goal of just-in-time adaptive interventions (JITAIs) is to use mobile, digital tools to provide individuals with personalized interventions at the optimal time and in the optimal context. Accordingly, JITAIs are promising for advancing accessible, equitable, and evidence-based treatment for behavioral health. To guide future inquiry in this space, a review of the literature is needed to describe the state of research on JITAIs for behavioral health. Objective: This study aims to systematically review the literature to describe the landscape of existing JITAIs for behavioral health at any stage of intervention development. In addition, conditional upon a sufficiently homogeneous literature, we will conduct meta-analyses to investigate the effectiveness of JITAIs for promoting distal outcomes (here, aspects of behavioral health) and proximal outcomes (eg, emotion regulation). Methods: This systematic review is being conducted in accordance with the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols). We developed our search strategy and executed the literature search in collaboration with biomedical librarians; 5 databases (PubMed, Embase, Cochrane Library, Web of Science: Core Collection, and APA PsycINFO) were searched, and results were managed using EndNote 20 (Clarivate). We are screening (title, abstract, and full text) all records in duplicate in Covidence according to eligibility criteria. Data items will be extracted, and risk of bias will be assessed in duplicate from the included articles in Covidence. We will summarize JITAI characteristics in tables and text. We will conduct meta-analyses for the distal and proximal outcomes conditional upon sufficient homogeneity in subgroups. Moderation (conditional upon sufficient heterogeneity of outcomes) and mediation (ie, whether changes in proximal outcomes mediate the relation between JITAIs and distal outcomes) will be conducted as appropriate. We will investigate publication bias and use the Grading of Recommendations Assessment, Development and Evaluation to characterize the quality of evidence of our estimates. Results: The search strategy was developed between July 2023 and November 2023. The literature search was executed between November 2023 and December 2023. Title and abstract screening began in December 2023, and full-text screening began in May 2024. Data extraction and analyses have not begun. Conclusions: Here, we propose a systematic review to assess the state of the literature on JITAIs for behavioral health. The insights derived from this study will describe the literature on JITAIs in promoting behavioral health, reinforce JITAI definitions, clarify JITAI elements, and inform the next steps in JITAI research. International Registered Report Identifier (IRRID): PRR1-10.2196/58917

Interactions with parents are integral in shaping the development of children’s emotional processes. Important aspects of these interactions are overall (mean level) affective experience and affective synchrony (linkages between parent and child affect across time). Respectively, mean-level affect and affective synchrony reflect aspects of the content and structure of dyadic interactions. Most research on parent–child affect during dyadic interactions has focused on infancy and early childhood; adolescence, however, is a key period for both normative emotional development and the emergence of emotional disorders. We examined affect in early to mid-adolescents (N= 55,M_age= 12.27) and their parents using a video-mediated recall task of 10-min conflict-topic discussions. Using multilevel modeling, we found evidence of significant level-2 effects (mean affect) and level-1 effects (affective synchrony) for parents and their adolescents. Level-2 and level-1 associations were differentially moderated by adolescent age and adolescent internalizing and externalizing symptoms. More specifically, parent–adolescent synchrony was stronger when adolescents were older and had more internalizing problems. Further, more positive adolescent mean affect was associated with more positive parent affect (and vice versa), but only for dyads with low adolescent externalizing problems. Results underscore the importance of additional research examining parent–child affect in adolescence.