Collateral effects of Coping Power on caregiver symptoms of depression and long-term changes in child behavior.

A large body of research demonstrates positive impacts of the Coping Power Program as a preventive intervention for youth behavioral outcomes, but potential collateral effects for caregivers is less known. The current study examined whether the youth-focused Coping Power Program can have a secondary impact on caregiver self-reported symptoms of depression and in turn result in longer-term impacts on child disruptive behavior problems including aggression, conduct problems and hyperactivity. Data from 360 youth/caregiver pairs across 8 waves of data (grades 4 through 10) were analyzed. We used two methodological approaches to (a) assess indirect effects in the presence of potential bidirectionality using timepoint-to-timepoint dynamic effects under Autoregressive Latent Trajectory modeling and (b) estimate scale scores in the presence of measurement non-invariance. Results showed that individually delivered Coping Power (ICP) produced greater direct effects on conduct problems and indirect effects on general externalizing and hyperactivity (through reductions in caregiver self-reported symptoms of depression), compared to group Coping Power (GCP). In comparison to GCP, ICP produced similar direct effects on reductions in caregiver depression. Child-focused prevention interventions can have an indirect impact on caregiver depression, which later shows improvements in longer-term reductions for child disruptive problems.

Introduction to the Special Issue on Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science.

This paper serves as an introduction to the special issue of Prevention Science entitled, "Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science." This special issue includes a collection of original papers from multiple disciplines that apply individual-level data synthesis methodologies, including IDA, individual participant meta-analysis, and other related methods to harmonize and integrate multiple datasets from intervention trials of the same or similar interventions. This work builds on a series of papers appearing in a prior Prevention Science special issue, entitled "Who Benefits from Programs to Prevent Adolescent Depression?" (Howe, Pantin, & Perrino, 2018). Since the publication of this prior work, the use of individual-level data synthesis has increased considerably in and outside of prevention. As such, there is a need for an update on current and future directions in IDA, with careful consideration of innovations and applications of these methods to fill important research gaps in prevention science. The papers in this issue are organized into two broad categories of (1) evidence synthesis papers that apply best practices in data harmonization and individual-level data synthesis and (2) new and emerging design, psychometric, and methodological issues and solutions. This collection of original papers is followed by two invited commentaries which provide insight and important reflections on the field and future directions for prevention science.

Mitigating Multiple Sources of Bias in a Quasi-Experimental Integrative Data Analysis: Does Treating Childhood Anxiety Prevent Substance Use Disorders in Late Adolescence/Young Adulthood?

Psychiatric epidemiologists, developmental psychopathologists, prevention scientists, and treatment researchers have long speculated that treating child anxiety disorders could prevent alcohol and other drug use disorders in young adulthood. A primary challenge in examining long-term effects of anxiety disorder treatment from randomized controlled trials is that all participants receive an immediate or delayed study-related treatment prior to long-term follow-up assessment. Thus, if a long-term follow-up is conducted, a comparison condition no longer exists within the trial. Quasi-experimental designs (QEDs) pairing such clinical samples with comparable untreated epidemiological samples offer a method of addressing this challenge. Selection bias, often a concern in QEDs, can be mitigated by propensity score weighting. A second challenge may arise because the clinical and epidemiological studies may not have used identical measures, necessitating Integrative Data Analysis (IDA) for measure harmonization and scale score estimation. The present study uses a combination of propensity score weighting, zero-inflated mixture moderated nonlinear factor analysis (ZIM-MNLFA), and potential outcomes mediation in a child anxiety treatment QED/IDA (n = 396). Under propensity score-weighted potential outcomes mediation, CBT led to reductions in substance use disorder severity, the effects of which were mediated by reductions in anxiety severity in young adulthood. Sensitivity analyses highlighted the importance of attending to multiple types of bias. This study illustrates how hybrid QED/IDAs can be used in secondary prevention contexts for improved measurement and causal inference, particularly when control participants in clinical trials receive study-related treatment prior to long-term assessment.

Harmonizing Social, Emotional, and Behavioral Constructs in Prevention Science: Digging into the Weeds of Aligning Disparate Measures.

While integrative data analysis (IDA) presents great opportunity, it also necessitates a myriad of methodological decisions related to harmonizing disparate measures collected across multiple studies. There is a lack of step-by-step methodological guidance for harmonizing disparate measures of latent constructs differently conceptualized or operationalized across studies, such as social, emotional, and behavioral constructs often utilized in prevention science. The current paper addressed this gap by providing methodological guidance and a case illustration focused on harmonizing measures of disparately conceptualized and operationalized constructs. We do so by outlining a five-phased harmonization approach paired with an illustrative example of the approach as applied to harmonization of broadband latent emotional and behavioral health constructs assessed with different measures across studies. This approach builds on and expands upon procedures currently recommended in the IDA literature with parallels to best practices in test development procedures. The illustrative example of our phased approach is drawn from an IDA study of 11 randomized controlled trials of Coping Power (Lochman & Wells, 2004), an evidence-based preventive intervention. We demonstrate the harmonization of two constructs, internalizing and externalizing problems, as harmonized across the teacher-reported scales of the Achenbach System of Empirically Based Assessment (Achenbach, 1991a) and the Behavior Assessment System for Children (Reynolds & Kamphaus, 2004). Finally, we consider the potential strengths and limitations of this phased approach, underscoring areas for future methodological research and conclude with some recommendations.

Metal-Metal-to-Ligand Charge Transfer in Pt(II) Dimers Bridged by Pyridyl and Quinoline Thiols.

The investigation of two distinct species of square planar dinuclear Pt(II) dimers based on anti-[Pt(C∧N)(µ-N∧S)]2, where C∧N is either 2-phenylpyridine (ppy) or benzo(h)quinoline (bzq) and N∧S is pyridine-2-thiol (pyt), 6-methylpyridine-2-thiol (Mpyt), or 2-quinolinethiol (2QT), is presented. Each molecule was thoroughly characterized with electronic structure calculations, static UV-vis and photoluminescence (PL) spectroscopy, and cyclic voltammetry, along with transient absorbance and time-gated PL experiments. These visible absorbing chromophores feature metal-metal-to-ligand charge-transfer (MMLCT) excited states that originate from intramolecular d8-d8 metal-metal σ-interactions and are manifested in the ground- and excited-state properties of these molecules. All five molecules reported (anti-[Pt(ppy)(µ-Mpyt)]2 could not be isolated), three of which are newly conceived here, possess electronic absorptions past 500 nm and high quantum yield PL emission with spectra extending into the far red (λem > 700 nm), originating from the charge-transfer state in each instance. Each chromophore displays excited-state decay kinetics adequately modeled by single exponentials as recorded using dynamic absorption and PL experiments; each technique yields similar decay kinetics. The combined data illustrate that pyridyl and quinoline-thiolates in conjunction with select cyclometalates represent classes of MMLCT chromophores that exhibit excited-state properties suitable for promoting light-energized chemical reactions and provide a molecular platform suitable for evaluating coherence phenomena in transient metal-metal bond-forming photochemistry.

Estimating posttraumatic stress disorder severity in the presence of differential item functioning across populations, comorbidities, and interview measures: Introduction to Project Harmony.

Multiple factor analytic and item response theory studies have shown that items/symptoms vary in their relative clinical weights in structured interview measures for posttraumatic stress disorder (PTSD). Despite these findings, the use of total scores, which treat symptoms as though they are equally weighted, predominates in practice, with the consequence of undermining the precision of clinical decision-making. We conducted an integrative data analysis (IDA) study to harmonize PTSD structured interview data (i.e., recoding of items to a common symptom metric) from 25 studies (total N = 2,568). We aimed to identify (a) measurement noninvariance/differential item functioning (MNI/DIF) across multiple populations, psychiatric comorbidities, and interview measures simultaneously and (b) differences in inferences regarding underlying PTSD severity between scale scores estimated using moderated nonlinear factor analysis (MNLFA) and a total score analog model (TSA). Several predictors of MNI/DIF impacted effect size differences in underlying severity across scale scoring methods. Notably, we observed MNI/DIF substantial enough to bias inferences on underlying PTSD severity for two groups: African Americans and incarcerated women. The findings highlight two issues raised elsewhere in the PTSD psychometrics literature: (a) bias in characterizing underlying PTSD severity and individual-level treatment outcomes when the psychometric model underlying total scores fails to fit the data and (b) higher latent severity scores, on average, when using DSM-5 (net of MNI/DIF) criteria, by which multiple factors (e.g., Criterion A discordance across DSM editions, changes to the number/type of symptom clusters, changes to the symptoms themselves) may have impacted severity scoring for some patients.

Putting the Patient Back in Clinical Significance: Moderated Nonlinear Factor Analysis for Estimating Clinically Significant Change in Treatment for Posttraumatic Stress Disorder.

The present study introduced a modernized approach to Jacobson and Truax's (1991) methods of estimating treatment effects on individual-level (a) movement from the clinical to the normative range and (b) reliable change on posttraumatic stress disorder (PTSD) severity. Participants were 450 trauma-exposed women (M age = 39.2 years, SD = 8.9, range: 18-65 years) who presented to seven geographically diverse community mental health and substance use treatment centers. Data from 53 of these women, none of whom met the criteria for full or subthreshold PTSD, were used to establish the normative range. Using moderated nonlinear factor analysis (MNLFA) scale scoring, which weights symptoms by their clinical relevance, a significantly larger proportion of participants moved into the normative range for PTSD severity scores and/or exhibited reliable changes after treatment compared to the same individuals' movement when using symptom counts. Further, approximately 24% of the participants showed discrepant judgments on reliable change indices (RCI) between MNLFA scores and symptom counts, likely due to the false assumption that the standard error of measurement is equal for all levels of underlying PTSD severity when estimating RCIs with symptom counts. An MNLFA approach to estimating underlying PTSD severity can provide clinically meaningful information about individual-level change without the de facto assumption that PTSD symptoms have equivalent weight. Study implications are discussed with regard to a joint emphasis on (a) measurement models that highlight differential symptom weighting and (b) treatment-arm differences in individual-level outcomes rather than the current overemphasis of treatment-arm differences on group-averaged trajectories.

Latent Class Analysis of E-cigarette Use Sessions in Their Natural Environments.

BACKGROUND: Delivery of nicotine and substances from electronic nicotine delivery systems, or e-cigarettes, depends in part on how users puff on the devices. Little is known about variation in puffing behavior to inform testing protocols or understand whether puffing behaviors result in increased exposure to emissions. METHODS: We analyzed puff topography data collected using a wireless portable use monitor (wPUM) continuously over 2 weeks among 34 current second-generation e-cigarette users in their everyday lives. For each puff, the wPUM recorded date, time, duration, volume, flow rate, and inter-puff interval. RESULTS: We defined use session and classes at the session level using multilevel latent profile analysis, resulting in two session classes and three person types. Session class 1 ("light") was characterized by 14.7 puffs per session (PPS), low puff volume (59.9 ml), flow rate (28.7 ml/s), and puff duration (202.7 s × 100). Session class 2 ("heavy") was characterized by 16.7 PPS with a high puff volume (290.9 ml), flow rate (71.5 ml/s), and puff duration (441.1 s × 100). Person class 1 had almost exclusively "light" sessions (98.0%), whereas person class 2 had a majority of "heavy" sessions (60.7%) and person class 3 had a majority of "light" sessions (75.3%) but some "heavy" sessions (24.7%). CONCLUSION: Results suggest there are different session topography patterns among e-cigarette users. Further assessment is needed to determine whether some users have increased exposure to constituents and/or health risks because of e-cigarettes. IMPLICATIONS: Our study examines topography characteristics in a users' natural setting to identify two classes of e-cigarette session behavior and three classes of users. These results suggest that it is important for studies on the health effects of e-cigarettes to take variation in user topography into account. It is crucial to accurately understand the topography profiles of session and user types to determine whether some users are at greater exposure to harmful or potentially harmful constituents and risks from e-cigarettes as they are used by consumers.

Using Media Literacy Education for Adolescent Sexual Health Promotion in Middle School: Randomized Control Trial of Media Aware.

This study examined the short-term efficacy of Media Aware, a classroom-based media literacy education (MLE) program for improving adolescents' sexual health outcomes. In a randomized control trial, schools were randomly assigned to the intervention (N = 5 schools) or health promotion control (N = 4 schools) group. Students completed questionnaires at pretest (N = 880 students) and immediate posttest (N = 926 students). The Media Aware program had a significant favorable impact on adolescent outcomes related to sexual health, including increased self-efficacy and intentions to use contraception, if they were to engage in sexual activity; enhanced positive attitudes, self-efficacy, and intentions to communicate about sexual health; decreased acceptance of dating violence and strict gender roles; and increased sexual health knowledge. Program effects were also found for media-related outcomes, including enhanced media deconstruction skills and increased media skepticism. Media deconstruction skills mediated the program's impact on students' intentions to communicate with a medical professional about sexual health issues. This study provides support for the use of MLE with adolescents to promote sexual health.

Indirect effects of 12-session seeking safety on substance use outcomes: overall and attendance class-specific effects.

OBJECTIVES: This study examined in- and post-treatment mediation effects of a 12-session dose of Seeking Safety (SS)-an integrative cognitive behavioral treatment for comorbid PTSD and SUDs-on alcohol and cocaine outcomes in comparison to Women's Health Education (WHE) in a seven-site randomized controlled effectiveness trial. METHODS: Women (n = 353) enrolled in outpatient substance abuse treatment, who had experienced multiple traumas in childhood and/or adulthood and who had comorbid PTSD, were randomly assigned to receive SS or WHE delivered in open enrollment groups for 12 sessions in 6 weeks (unlike the full 25-topic SS protocol). Data were analyzed under two forms of longitudinal mediation analysis, each accounting for changes over time in group membership and group context, respectively. RESULTS: Women in SS, compared to WHE, showed significantly steeper decreases in PTSD frequency and severity, which in turn, showed significant impact in reducing both cocaine and alcohol use. This pattern was strongest for those who completed most of the treatment sessions, which was the majority of patients in the trial; these patterns only emerged during the in-treatment phase. CONCLUSIONS: Use of an integrated approach to PTSD/SUD such as SS can be helpful to more rapidly reduce PTSD, which consequently reduce SUD symptoms, particularly for those who attend most of the available treatment sessions. SCIENTIFIC SIGNIFICANCE: This is one of the first studies to illustrate such effects in treating comorbid PTSD and SUD in the context of a highly impaired population delivered by community-based providers. (Am J Addict 2014;23:218-225).

Project harmony: A systematic review and network meta-analysis of psychotherapy and pharmacologic trials for comorbid posttraumatic stress, alcohol, and other drug use disorders.

We conducted a systematic review and network meta-analyses (NMA) of psychotherapy and pharmacologic treatments for individuals with co-occurring posttraumatic stress disorder (PTSD) and alcohol or other drug use disorder (AOD). A comprehensive search spanning 1995-2019 yielded a pool of 39 studies for systematic review, including 24 randomized controlled trials for the NMA. Study interventions were grouped by target of treatment (PTSD + AOD, PTSD-only, and AOD-only) and approach (psychotherapy or medication). Standardized mean differences (SMD) from the NMA yielded evidence that at the end of treatment, integrated, trauma-focused therapy for PTSD + AOD was more effective at reducing PTSD symptoms than integrated, non-trauma-focused therapy (SMD = -0.30), AOD-focused psychotherapy (SMD = -0.29), and other control psychotherapies (SMD = -0.43). End-of-treatment alcohol use severity was less for AOD medication compared to placebo medication (SMD = -0.36) and trauma-focused therapy for PTSD + placebo medication (SMD = -0.67), and less for trauma-focused psychotherapy + AOD medication compared to PTSD medication (SMD = -0.53), placebo medication (SMD = -0.50), and trauma-focused psychotherapy + placebo medication (SMD = -0.81). Key limitations include the small number of studies in the NMA for pharmacologic treatments and the lack of demographic diversity apparent in the existing literature. Findings suggest room for new studies that can address limitations in study sample composition, sample sizes, retention, and apply new techniques for conducting comparative effectiveness in PTSD + AOD treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cannabis use and trauma-focused treatment for co-occurring posttraumatic stress disorder and substance use disorders: A meta-analysis of individual patient data.

High rates of cannabis use among people with posttraumatic stress disorder (PTSD) have raised questions about the efficacy of evidence-based PTSD treatments for individuals reporting cannabis use, particularly those with co-occurring alcohol or other substance use disorders (SUDs). Using a subset of four randomized clinical trials (RCTs) included in Project Harmony, an individual patient meta-analysis of 36 RCTs (total N = 4046) of treatments for co-occurring PTSD+SUD, we examined differences in trauma-focused (TF) and non-trauma-focused (non-TF) treatment outcomes for individuals who did and did not endorse baseline cannabis use (N = 410; 70% male; 33.2% endorsed cannabis use). Propensity score-weighted mixed effects modeling evaluated main and interactive effects of treatment assignment (TF versus non-TF) and baseline cannabis use (yes/no) on attendance rates and within-treatment changes in PTSD, alcohol, and non-cannabis drug use severity. Results revealed significant improvements across outcomes among participants in all conditions, with larger PTSD symptom reductions but lower attendance among individuals receiving TF versus non-TF treatment in both cannabis groups. Participants achieved similar reductions in alcohol and drug use across all conditions. TF outperformed non-TF treatments regardless of recent cannabis use, underscoring the importance of reducing barriers to accessing TF treatments for individuals reporting cannabis use.

Sexual sensation seeking, co-occurring sex and alcohol use, and sexual risk behavior among adolescents in treatment for substance use problems.

OBJECTIVE: This study evaluated relations between sexual sensation seeking, co-occurring sex and alcohol use, and sexual risk behaviors (eg, unprotected intercourse and multiple sex partners) among adolescents receiving treatment for substance abuse problems. METHOD: The ethnically diverse sample included 394 adolescents recruited from outpatient treatment (280 males; Mage = 16.33 years, SDage = 1.15). Structural equation modeling (SEM) was used to test direct and indirect paths between sexual sensation seeking and sexual risk behaviors via the frequency of co-occurring sex and alcohol use. Conditional indirect effects by gender were also tested. RESULTS: Analyses identified significant effects of sexual sensation seeking on co-occurring sex and alcohol use and sexual risk behaviors. The path from co-occurring sex and alcohol use to unprotected intercourse was significantly stronger among adolescent girls, suggesting a mediation effect moderated by gender. No gender difference was found for the indirect path from sexual sensation seeking and number of past year sexual partners via co-occurring sex and alcohol use. CONCLUSIONS: Selected prevention efforts are needed to promote HIV risk reduction among adolescents in substance abuse treatment. The documented conditional indirect effect for unprotected intercourse suggests that HIV prevention programs should pay special attention to gender-specific patterns of alcohol use and sexual risk behavior when tailoring program content. (Am J Addict 2013; 22:197-205).

Integrative data analysis of clinical trials network studies to examine the impact of psychosocial treatments for black people who use cocaine: Study protocol.

BACKGROUND: Cocaine overdose death rates among Black people are higher than that of any other racial/ethnic group, attributable to synthetic opioids in the cocaine supply. Understanding the most effective psychostimulant use treatment interventions for Black people is a high priority. While some interventions have proven effective for the general population, their comparative effectiveness among Black people remains unknown. To address this gap, our NIDA-funded Clinical Trials Network (CTN) study (0125), will use Integrative Data Analysis (IDA) to examine treatment effectiveness across 9 CTN studies. This manuscript describes the study protocol for CTN-0125. METHODS: Of the 59 completed randomized clinical trials in the CTN with available datasets, nine met our inclusion criteria: 1) behavioral intervention, 2) targeted cocaine use or use disorder, 3) included sub-samples of participants who self-identified as Black and 4) included outcome measures of cocaine and psychostimulant use and consequences. We aim to 1) estimate scale scores of cocaine use severity while considering study-level measurement non-invariance, 2) compare the effectiveness of psychosocial treatments for psychostimulant use, and 3) explore individual (e.g., concomitant opioid use, age, sex, employment, pre-treatment psychiatric status) and study-level moderators (e.g., attendance/retention) to evaluate subgroup differences in treatment effectiveness. CONCLUSION: The NIDA CTN provides a unique collection of studies that can offer insight into what interventions are most efficacious for Black people. Findings from our CTN-0125 study have the potential to substantially inform treatment approaches specifically designed for Black people who use psychostimulants.

Project Harmony: A Meta-Analysis With Individual Patient Data on Behavioral and Pharmacologic Trials for Comorbid Posttraumatic Stress and Alcohol or Other Drug Use Disorders.

OBJECTIVE: Treatment efficacy for co-occurring posttraumatic stress disorder (PTSD) and substance use disorders is well established, yet direct evidence for comparative effectiveness across treatments is lacking. The present study compared the effectiveness of several behavioral and pharmacological therapies for adults with co-occurring PTSD and alcohol or other drug use disorders. METHODS: A systematic search of PsycINFO, MEDLINE, and ClinicalTrials.gov was conducted through December 2020 for trials targeting PTSD, alcohol or other drug use disorders, or both disorders (36 studies, N=4,046). Primary outcomes were severity scores for PTSD, alcohol use, and drug use, estimated via moderated nonlinear factor analysis. Propensity score weight-adjusted multilevel models were used. Model-predicted effect sizes were estimated for each treatment, and comparative effect sizes for each active arm against treatment as usual, at end of treatment and at 12-month follow-up. RESULTS: Compared with treatment as usual, combining trauma-focused therapy and pharmacotherapy for substance use disorders showed the largest comparative effect sizes for PTSD severity (d=-0.92, 95% CI=-1.57, -0.30) and alcohol use severity (d=-1.10, 95% CI=-1.54, -0.68) at end of treatment. Other treatments with large comparative effect sizes included pharmacotherapies for alcohol or other drug use disorders, trauma-focused integrated therapies, and trauma-focused nonintegrated therapies. Reductions in outcomes for PTSD symptoms and alcohol use were observed for nearly all treatments. CONCLUSIONS: The findings provide support for treating comorbid PTSD and substance use disorders using a variety of approaches, with alcohol-targeted pharmacotherapies and trauma-focused behavioral therapies as a combination of treatments that lead to early and sustained improvements in PTSD and alcohol use severity. Further treatment development is indicated for combining behavioral and pharmacological treatments for synergized impact and understanding the mechanisms of action and conditions under which each treatment type is optimized.

Differential symptom weighting in estimating empirical thresholds for underlying PTSD severity: Toward a "platinum" standard for diagnosis?

OBJECTIVE: Symptom counts as the basis for Post-Traumatic Stress Disorder (PTSD) diagnoses in the DSM presume each symptom is equally reflective of underlying disorder severity. However, the "equal weight" assumption fails to fit PTSD symptom data when tested. The present study developed an enhanced PTSD diagnosis based on (a) a conventional PTSD diagnosis from a clinical interview and (b) an empirical classification of full PTSD that reflected the relative clinical weights of each symptom. METHOD: Baseline structured interview data from Project Harmony (N = 2658) was used. An enhanced diagnosis for full PTSD was estimated using an empirical threshold from moderated nonlinear factor analysis (MNLFA) latent PTSD scale scores, in combination with a full conventional PTSD diagnosis based on interview data. RESULTS: One in 4 patients in the sample had a PTSD diagnosis that was inconsistent with their empirical PTSD grouping, such that the enhanced diagnostic standard reduced the diagnostic discrepancy rate by 20%. Veterans, and in particular female Veterans, were at greatest odds for discrepancy between their underlying PTSD severity and DSM diagnosis. CONCLUSION: Psychometric methodologies that differentially weight symptoms can complement DSM criteria and may serve as a platform for symptom prioritization for diagnoses in future editions of DSM.

The stability of perceived pubertal timing across adolescence.

It is unknown whether perceived pubertal timing changes as puberty progresses or whether it is an important component of adolescent identity formation that is fixed early in pubertal development. The purpose of this study is to examine the stability of perceived pubertal timing among a school-based sample of rural adolescents aged 11-17 (N=6,425; 50% female; 53% White). Two measures of pubertal timing were used, stage-normative, based on the Pubertal Development Scale, a self-report scale of secondary sexual characteristics, and peer-normative, a one-item measure of perceived pubertal timing. Two longitudinal methods were used: one-way random effects ANOVA models and latent class analysis. When calculating intraclass correlation coefficients using the one-way random effects ANOVA models, which is based on the average reliability from one time point to the next, both measures had similar, but poor, stability. In contrast, latent class analysis, which looks at the longitudinal response pattern of each individual and treats deviation from that pattern as measurement error, showed three stable and distinct response patterns for both measures: always early, always on-time, and always late. Study results suggest instability in perceived pubertal timing from one age to the next, but this instability is likely due to measurement error. Thus, it may be necessary to take into account the longitudinal pattern of perceived pubertal timing across adolescence rather than measuring perceived pubertal timing at one point in time.

What's in a name? A data-driven method to identify optimal psychotherapy classifications to advance treatment research on co-occurring PTSD and substance use disorders.

Background/Objective: The present study leveraged the expertise of an international group of posttraumatic stress and substance use disorder (PTSD+SUD) intervention researchers to identify which methods of categorizing interventions which target SUD, PTSD, or PTSD+SUD for populations with both PTSD+SUD may be optimal for advancing future systematic reviews, meta-analyses, and comparative effectiveness studies which strive to compare effects across a broad variety of psychotherapy types. Method: A two-step process was used to evaluate the categorization terminology. First, we searched the literature for pre-existing categories of PTSD+SUD interventions from PTSD+SUD clinical trials, systematic and literature reviews. Then, we surveyed international trauma and substance use subject matter experts about their opinions on pre-existing intervention categorization and ideal categorization nomenclature. Results: Mixed method analyses revealed that a proliferation of PTSD+SUD treatment research over the last twenty years brought with it an abundance of ways to characterize the treatments that have been evaluated. Results from our survey of experts (N = 27) revealed that interventions for PTSD+SUD can be classified in many ways that appear to overlap highly with one another. Many experts (11/27; 41%) selected the categories of 'trauma-focused and non-trauma focused' as an optimal way to distinguish treatment types. Although several experts reinforced this point during the subsequent meeting, it became clear that no method of categorizing treatments is without flaws. Conclusion: One possible categorization (trauma-focused/non-trauma focused) was identified. Revised language and nomenclature for classification of PTSD+SUD treatments are needed in order to accommodate the needs of this advancing field.

Antecedentes/Objetivo: El presente estudio aprovechó la experticia de un grupo internacional de investigadores de intervención en trastorno de estrés postraumático y trastorno por uso de sustancias (TEPT+TUS) para identificar qué métodos de categorización de las intervenciones con foco en TUS, TEPT y TEPT+TUS para poblaciones con ambos TEPT+TUS serían óptimos para avanzar en futuras revisiones sistemáticas, meta-análisis y estudios comparativos de efectividad que busquen comparar efectos en una amplia variedad de tipos de psicoterapia.Método: Se utilizó un proceso de dos etapas para evaluar la terminología de categorización. Primero, buscamos en la literatura categorías pre-existentes de intervenciones para TEPT+TUS en ensayos clínicos de TEPT+TUS, revisiones sistemáticas y de la literatura. Después, entrevistamos a expertos internacionales en la materia de trauma y uso de sustancias sobre su opinión de la categorización pre-existente de las intervenciones y la nomenclatura ideal de categorización.Resultados: Métodos de análisis mixtos revelaron que una proliferación de investigación de tratamientos para TEPT+TUS en los últimos veinte años trajo consigo una abundancia de formas de categorizar los tratamientos que han sido evaluados. Los resultados de nuestra encuesta de expertos (N = 27) revelaron que las intervenciones para TEPT+TUS pueden ser clasificadas en muchas formas que parecen sobreponerse altamente entre sí. Muchos expertos (11/27; 41%) seleccionaron las categorías de 'centrados en el trauma y no centrados en el trauma' como una forma óptima de distinguir los tipos de tratamiento. Aunque varios expertos reforzaron este punto en la reunión subsecuente, quedó claro que ningún método de categorización de los tratamientos está libre de defectos.Conclusión: Se identificó una posible categorización (centrado en el trauma/No centrado en el trauma). Se necesita lenguaje y nomenclatura revisada para la clasificación de tratamientos de TEPT+TUS a fin de acomodar las necesidades de este campo en desarrollo.

Design and methodology for an integrative data analysis of coping power: Direct and indirect effects on adolescent suicidality.

As suicide rates have risen in the last decade, there has been greater emphasis on targeting early risk conditions for suicidality among youth and adolescents as a form of suicide "inoculation". Two particular needs that have been raised in this nascent literature are a) the dearth of examination of early intervention effects on distal suicide risk that target externalizing behaviors and b) the need to harmonize multiple existing intervention datasets for greater precision in modeling intervention effects on low base rate outcomes such as suicidal behaviors. This project, entitled "Integrative Data Analysis of Coping Power (CP): Effects on Adolescent Suicidality", funded by the National Institute of Mental Health (NIMH), will harmonize and analyze data from 11 randomized controlled trials of CP (total individual-level N = 3183, total school-level N = 189). CP is an empirically-supported, child- and family-focused preventive intervention that focuses on reducing externalizing more broadly among youth who exhibit early aggression, which makes it ideally suited to targeting externalizing pathways to suicidality. The project utilizes three measurement and data analysis frameworks that have emerged across multiple independent disciplines: integrative data analysis (IDA), random treatment effects multilevel modeling (RTE-MLM), and propensity score weighting (PSW). If successful, the project will a) provide initial evidence that CP would have gender-specific indirect effects on suicidality through reductions in externalizing for boys and reductions in internalizing for girls and b) identify optimal conditions under which CP is delivered (e.g., groups, individuals, online) across participants on reductions in suicidality and other key intermediate endpoints.

Graded response item response theory in scaling suicidal thoughts and behaviors among trauma-exposed women with substance use disorders.

Objective: The co-occurrence of substance use disorders (SUD) and trauma-exposure is a risk factor for suicidal thoughts and behaviors (STB). However, traditional methods of measurement for suicidal thoughts and behaviors are limited by an overreliance on dichotomous (i.e., yes or no) and averaged/summed scale score measurements. Further, among trauma-exposed individuals with SUD, it remains unclear which specific demographic factors, types of SUDs, and trauma sequelae (e.g., posttraumatic stress disorder [PTSD] symptom clusters) may be associated with elevated STB. The present study utilized item response theory to (a) generate empirically derived STB severity scores and, (b) examine which demographic factors, SUD diagnoses, and DSM-IV PTSD symptom clusters are associated with suicidality in a trauma-exposed sample with SUDs. Method: Female trauma-exposed participants with SUDs (N = 544) were recruited from community substance use treatment facilities in the National Drug Abuse Treatment Clinical Trials Network (CTN). Clinician-administered interviews assessed STB, SUDs, and PTSD symptoms. Results: Results indicated that the unidimensional item response theory (IRT) model used to estimate latent STB severity scores fit well, with strong local reliability at higher levels of latent STB severity. Regression predictors of elevated STB severity included younger age, opioid dependence, and higher PTSD reexperiencing symptoms. Conclusions: Clinicians are advised to screen for and target opioid use disorders and reexperiencing symptoms when addressing suicidal thoughts and behavior in trauma-exposed individuals with SUDs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).