Measuring the rate of psychological growth and examining its antecedents: A growth curve modeling approach.

INTRODUCTION: Humanistic psychologists have conceptualized a tendency among humans to experience continual open-ended psychological growth. This study aims to measure the rate at which one grows psychologically using a novel growth curve modeling approach that addresses previous limitations. We also examine the effects of nine potential contributors to growth identified from the literature. METHOD: Throughout the freshman year, 556 college students responded six times. Increments of growth were added up to create cumulative growth, which was then fit to a growth curve model to produce an estimate of the growth rate. The growth rate was then regressed on the Time 1 predictors to examine their unique effects. RESULTS: Models fit well. Five predictors significantly predicted the growth rate after controlling for the average of other predictors. When all predictors were entered simultaneously, three predictors (hope, meaning, and personal growth initiative) showed significant unique effects. The growth rate predicted well-being and satisfaction at Time 6. CONCLUSION: We successfully measured the rate of psychological growth and examined its antecedents. Follow-up analyses suggested that the predictors not showing unique effects may indirectly predict growth rates via the proximal role of the three significant predictors, an idea that awaits future corroboration using within-individual designs.

High School Follow-Up of the Dating Matters® RCT: Effects on Teen Dating Violence and Relationship Behaviors.

Teen dating violence (TDV) is a significant public health problem that can have lifelong consequences. Using a longitudinal, cluster randomized controlled trial (RCT), this study examines whether the Dating Matters comprehensive prevention model, implemented in middle school, prevented TDV and negative relationship behaviors and promoted positive relationship behaviors in high school (9th-11th grades), when compared with a standard of care intervention. Dating Matters includes programs for sixth to eighth grade youth and their parents, training for school staff, a youth communications program, and policy and data activities implemented in the community. Self-report survey data were collected from students in 46 middle schools that were randomly assigned to condition within site. Students completed two surveys (fall and spring) in each middle school grade and a single survey in the spring of each high school grade. This study examined self-reported TDV perpetration and victimization, use of negative conflict resolution strategies, and positive relationship skills in the high school follow-up. While varying patterns emerged, latent panel models demonstrated significant program effects for all outcomes. Dating Matters students reported 19% reduced risk for TDV perpetration, 24% reduced risk for TDV victimization, 7% reduced risk for use of negative conflict strategies, and 3% more use of positive relationship skills, on average across time and cohort, than standard of care students. On average, Dating Matters, implemented in middle school, continued to be more effective at reducing TDV perpetration, TDV victimization, and use of negative conflict resolution strategies in high school than an evidence-based comparison program.Trial Registration: clinicaltrials.gov Identifier: NCT01672541.

Prevalence of Violence Victimization and Perpetration During Middle and High School in Underresourced, Urban Communities.

This study describes rates of violence victimization, perpetration, and witnessing in 6th-11th grade for a multisite sample (N = 3,466) of predominantly Black and Hispanic middle- and high-school students from urban areas with high rates of crime and economic disadvantage. Students completed surveys in middle and high school assessing teen dating violence, stalking, sexual violence and harassment, bullying, cyberbullying, and physical violence perpetration and victimization, as well as witnessing violence. The highest prevalence rates are observed most often in 8th or 9th grade. Youth reported high rates of witnessing serious assault and severe community violence throughout adolescence. These findings suggest that efforts to prevent violence among youth living in under-resourced communities need to start early and address community-level socioeconomic disparities.

Patient genetics is linked to chronic wound microbiome composition and healing.

The clinical importance of microbiomes to the chronicity of wounds is widely appreciated, yet little is understood about patient-specific processes shaping wound microbiome composition. Here, a two-cohort microbiome-genome wide association study is presented through which patient genomic loci associated with chronic wound microbiome diversity were identified. Further investigation revealed that alternative TLN2 and ZNF521 genotypes explained significant inter-patient variation in relative abundance of two key pathogens, Pseudomonas aeruginosa and Staphylococcus epidermidis. Wound diversity was lowest in Pseudomonas aeruginosa infected wounds, and decreasing wound diversity had a significant negative linear relationship with healing rate. In addition to microbiome characteristics, age, diabetic status, and genetic ancestry all significantly influenced healing. Using structural equation modeling to identify common variance among SNPs, six loci were sufficient to explain 53% of variation in wound microbiome diversity, which was a 10% increase over traditional multiple regression. Focusing on TLN2, genotype at rs8031916 explained expression differences of alternative transcripts that differ in inclusion of important focal adhesion binding domains. Such differences are hypothesized to relate to wound microbiomes and healing through effects on bacterial exploitation of focal adhesions and/or cellular migration. Related, other associated loci were functionally enriched, often with roles in cytoskeletal dynamics. This study, being the first to identify patient genetic determinants for wound microbiomes and healing, implicates genetic variation determining cellular adhesion phenotypes as important drivers of infection type. The identification of predictive biomarkers for chronic wound microbiomes may serve as risk factors and guide treatment by informing patient-specific tendencies of infection.

The Mediating Role of Home-School Dissonance in Linking Maternal Discrimination to Latin American-Origin Adolescent Academic Performance.

Latin American-origin parents play an important role in supporting the formal education of their youth, but cultural, linguistic, and systemic barriers make parent involvement difficult. The aim of the present study was to examine how Latina mothers' experiences with discrimination were associated with short-term changes in their adolescent children's academic performance, directly and indirectly through mothers' appraisal of home-school dissonance. Data were drawn from an ongoing longitudinal study of 547 mother-youth dyads in suburban Atlanta. Results showed a significant indirect relationship between mothers' experiences of discrimination and declines in adolescents' grade point average by way of increased home-school dissonance. Thus, Latina mothers' discriminatory experiences may have spillover effects on adolescent academic achievement through increasing proximal barriers to parent involvement.

COVID-19 Stressors and Latinx Adolescents' Mental Health Symptomology and School Performance: A Prospective Study.

This study addressed the need for research examining impacts of the Coronavirus-19 (COVID) pandemic on Latinx adolescents' adjustment. Survey data for a probability sample of 547 Latinx adolescents (Mage = 13.71, SD = 0.86; 55.2% female) were collected from 2018 to 2021, including two times both prior to, and during, COVID. Independent variables assessed COVID-related household hospitalization, job/income loss, and adolescents' increased childcare responsibility. Structural Equation Model results indicated that COVID-related increases in adolescent childcare responsibility were associated with increased internalizing and externalizing symptoms and declines in school performance. COVID hospitalization and job/income loss were associated indirectly, through childcare responsibilities, to worse adolescent outcomes. Family adversities may harm adolescents' adjustment by burdening adolescents with responsibilities such caring for children.

A longitudinal test of acculturative family distancing theory explaining latino/a/x adolescents' adjustment.

According to acculturative family distancing theory, adolescents' perceptions of cultural incongruencies with parents can diminish the quality of parent-adolescent relationships and, as a result, harm adolescent adjustment. Using four time points of data for a sample of 547 diverse Latino/a/x adolescents, this study examined how parent-adolescent relationship quality and acculturative family distancing were associated with changes in adolescent school performance and internalizing symptoms. At baseline, the school-based sample ranged from 11- to 14-years-old (M = 12.78) and included slightly more females (55%) than males (45%). Cross-lagged structural equation model results indicated that adolescent reports of greater acculturative family distancing were associated with adolescent perceived increases in parent-adolescent conflict and decreases in parental support. Conflict mediated associations between acculturative family distancing and decreased school performance. Associations between parent-child relationship qualities and Latino/a/x adolescent adjustment were bidirectional.

Middle School Effects of the Dating Matters® Comprehensive Teen Dating Violence Prevention Model on Physical Violence, Bullying, and Cyberbullying: a Cluster-Randomized Controlled Trial.

Few comprehensive primary prevention approaches for youth have been evaluated for effects on multiple types of violence. Dating Matters®: Strategies to Promote Healthy Teen Relationships (Dating Matters) is a comprehensive teen dating violence (TDV) prevention model designed by the Centers for Disease Control and Prevention and evaluated using a longitudinal stratified cluster-randomized controlled trial to determine effectiveness for preventing TDV and promoting healthy relationship behaviors among middle school students. In this study, we examine the prevention effects on secondary outcomes, including victimization and perpetration of physical violence, bullying, and cyberbullying. This study examined the effectiveness of Dating Matters compared to a standard-of-care TDV prevention program in 46 middle schools in four high-risk urban communities across the USA. The analytic sample (N = 3301; 53% female; 50% Black, non-Hispanic; and 31% Hispanic) consisted of 6th-8th grade students who had an opportunity for exposure to Dating Matters in all three grades or the standard-of-care in 8th grade only. Results demonstrated that both male and female students attending schools implementing Dating Matters reported 11% less bullying perpetration and 11% less physical violence perpetration than students in comparison schools. Female Dating Matters students reported 9% less cyberbullying victimization and 10% less cyberbullying perpetration relative to the standard-of-care. When compared to an existing evidence-based intervention for TDV, Dating Matters demonstrated protective effects on physical violence, bullying, and cyberbullying for most groups of students. The Dating Matters comprehensive prevention model holds promise for reducing multiple forms of violence among middle school-aged youth. ClinicalTrials.gov Identifier: NCT01672541.

Effects of the Dating Matters® Comprehensive Prevention Model on Health- and Delinquency-Related Risk Behaviors in Middle School Youth: a Cluster-Randomized Controlled Trial.

Teen dating violence (TDV) is associated with a variety of delinquent behaviors, such as theft, and health- and delinquency-related risk behaviors, including alcohol use, substance abuse, and weapon carrying. These behaviors may co-occur due to shared risk factors. Thus, comprehensive TDV-focused prevention programs may also impact these other risk behaviors. This study examined the effectiveness of CDC's Dating Matters®: Strategies to Promote Healthy Teen Relationships (Dating Matters) comprehensive TDV prevention model compared to a standard-of-care condition on health- and delinquency-related risk behaviors among middle school students. Students (N = 3301; 53% female; 50% black, non-Hispanic; and 31% Hispanic) in 46 middle schools in four sites across the USA were surveyed twice yearly in 6th, 7th, and 8th grades. A structural equation modeling framework with multiple imputation to account for missing data was utilized. On average over time, students receiving Dating Matters scored 9% lower on a measure of weapon carrying, 9% lower on a measure of alcohol and substance abuse, and 8% lower on a measure of delinquency by the end of middle school than students receiving an evidence-based standard-of-care TDV prevention program. Dating Matters demonstrated protective effects for most groups of students through the end of middle school. These results suggest that this comprehensive model is successful at preventing risk behaviors associated with TDV. clinicaltrials.gov Identifier: NCT01672541.

Effects of Dating Matters® on Sexual Violence and Sexual Harassment Outcomes among Middle School Youth: a Cluster-Randomized Controlled Trial.

Sexual violence (SV), including sexual harassment (SH), is a significant public health problem affecting adolescent health and well-being. This study extends prior research by evaluating the effectiveness of a comprehensive teen dating violence prevention model, Dating Matters, on SV and SH perpetration and victimization, inclusive of any victim-perpetrator relationship, among middle school students. Dating Matters includes classroom-delivered programs for youth in 6th, 7th, and 8th grades; community-based programs for parents; a youth communications program; training for educators; and community-level activities. Middle schools in four urban areas in the USA were randomly assigned to receive Dating Matters (DM, N = 22) or a standard-of-care intervention (SC, N = 24) over four consecutive school years (2012-2016). The analytic sample included two cohorts who entered the study in 6th grade and completed 8th grade by the end of the study allowing for full exposure to Dating Matters (DM: N = 1662; SC: N = 1639; 53% female; 50% black, non-Hispanic; 6 waves of data collection for each cohort). Structural equation modeling was employed with multiple imputation to account for missing data. Dating Matters was associated with significant reductions in SV and SH perpetration and victimization scores in most-but not all-sex/cohort groups by the end of 8th grade relative to an evidence-based TDV prevention program. On average, students receiving Dating Matters scored 6% lower on SV perpetration, 3% lower on SV victimization, 4% lower on SH perpetration, and 8% lower on SH victimization by the end of middle school than students receiving an evidence-based violence prevention program. Overall, Dating Matters shows promise for reducing SV and SH, occurring both within and outside dating relationships, through middle school. Clinicaltrials.gov Identifier: NCT01672541.

Autonomy-related Parenting Processes and Adolescent Adjustment in Latinx Immigrant Families.

It is unclear how autonomy-related parenting processes are associated with Latinx adolescent adjustment. This study uses Latent Profile Analysis to identify typologies of parental monitoring and parent-adolescent conflict and examines their association with Latinx youth's school performance and depressive symptoms. The sample included 248 Latinx 9th and 10th graders (50% female) who completed surveys during fall (Time 1) and spring (Time 2) semesters of the school year. When compared to a high monitoring/low conflict parenting profile, a moderate monitoring/moderate conflict profile was associated with stronger declines in school performance; for boys, a high monitoring/moderately high conflict profile also was associated with greater increases in depressive symptoms. For Latinx immigrant families, researchers should consider monitoring and conflict as co-occurring processes.

Principled Missing Data Treatments.

We review a number of issues regarding missing data treatments for intervention and prevention researchers. Many of the common missing data practices in prevention research are still, unfortunately, ill-advised (e.g., use of listwise and pairwise deletion, insufficient use of auxiliary variables). Our goal is to promote better practice in the handling of missing data. We review the current state of missing data methodology and recent missing data reporting in prevention research. We describe antiquated, ad hoc missing data treatments and discuss their limitations. We discuss two modern, principled missing data treatments: multiple imputation and full information maximum likelihood, and we offer practical tips on how to best employ these methods in prevention research. The principled missing data treatments that we discuss are couched in terms of how they improve causal and statistical inference in the prevention sciences. Our recommendations are firmly grounded in missing data theory and well-validated statistical principles for handling the missing data issues that are ubiquitous in biosocial and prevention research. We augment our broad survey of missing data analysis with references to more exhaustive resources.

Methodological considerations for research on ethnopolitical violence.

The methodological and epistemological challenges that research on ethnopolitical violence faces are examined. This research area is fundamentally important for political reasons and for understanding, as well as subsequent interventions to ameliorate, youths' responses to ethnopolitical violence. Advances in methods are reviewed that can overcome the obstacles placed by the various challenges. These issues are discussed in the context of the articles that comprise this Special Section.

VIII. THE PAST, PRESENT, AND FUTURE OF DEVELOPMENTAL METHODOLOGY.

This chapter selectively reviews the evolution of quantitative practices in the field of developmental methodology. The chapter begins with an overview of the past in developmental methodology, discussing the implementation and dissemination of latent variable modeling and, in particular, longitudinal structural equation modeling. It then turns to the present state of developmental methodology, highlighting current methodological advances in the field. Additionally, this section summarizes ample quantitative resources, ranging from key quantitative methods journal articles to the various quantitative methods training programs and institutes. The chapter concludes with the future of developmental methodology and puts forth seven future innovations in the field. The innovations discussed span the topics of measurement, modeling, temporal design, and planned missing data designs. Lastly, the chapter closes with a brief overview of advanced modeling techniques such as continuous time models, state space models, and the application of Bayesian estimation in the field of developmental methodology.

National Institutes of Health Pathways to Prevention Workshop: Advancing Research to Prevent Youth Suicide.

The National Institutes of Health (NIH) Pathways to Prevention Workshop "Advancing Research to Prevent Youth Suicide" was cosponsored by the NIH Office of Disease Prevention, National Institute of Mental Health, National Institute on Drug Abuse, and National Center for Complementary and Integrative Health. A multidisciplinary working group developed the agenda, and an evidence-based practice center prepared an evidence report that addressed data systems relevant to suicide prevention efforts through a contract with the Agency for Healthcare Research and Quality. During the workshop, experts discussed the evidence and participants commented during open forums. After considering the data from the evidence report, expert presentations, and public comments, an independent panel prepared a draft report that was posted on the NIH Office of Disease Prevention Web site for 5 weeks for public comment. This abridged version of the final report provides a road map for optimizing youth suicide prevention efforts by highlighting strategies for guiding the next decade of research in this area. These strategies include recommendations for improving data systems, enhancing data collection and analysis methods, and strengthening the research and practice community.

Search for efficient complete and planned missing data designs for analysis of change.

The design of longitudinal data collection is an essential component of any study of change. A well-designed study will maximize the efficiency of statistical tests and minimize the cost of available resources (e.g., budget). Two families of designs have been used to collect longitudinal data: complete data (CD) and planned missing (PM) designs. This article proposes a systematic and flexible procedure named SEEDMC (SEarch for Efficient Designs using Monte Carlo Simulation) to search for efficient CD and PM designs for growth-curve modeling under budget constraints. This procedure allows researchers to identify efficient designs for multiple effects separately and simultaneously, and designs that are robust to MCAR attrition. SEEDMC is applied to identify efficient designs for key change parameters in linear and quadratic growth models. The identified efficient designs are summarized and the strengths and possible extensions of SEEDMC are discussed.