Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems.

BACKGROUND: When unaddressed, contamination in child maltreatment research, in which some proportion of children recruited for a nonmaltreated comparison group are exposed to maltreatment, downwardly biases the significance and magnitude of effect size estimates. This study extends previous contamination research by investigating how a dual-measurement strategy of detecting and controlling contamination impacts causal effect size estimates of child behavior problems. METHODS: This study included 634 children from the LONGSCAN study with 63 cases of confirmed child maltreatment after age 8 and 571 cases without confirmed child maltreatment. Confirmed child maltreatment and internalizing and externalizing behaviors were recorded every 2 years between ages 4 and 16. Contamination in the nonmaltreated comparison group was identified and controlled by either a prospective self-report assessment at ages 12, 14, and 16 or by a one-time retrospective self-report assessment at age 18. Synthetic control methods were used to establish causal effects and quantify the impact of contamination when it was not controlled, when it was controlled for by prospective self-reports, and when it was controlled for by retrospective self-reports. RESULTS: Rates of contamination ranged from 62% to 67%. Without controlling for contamination, causal effect size estimates for internalizing behaviors were not statistically significant. Causal effects only became statistically significant after controlling contamination identified from either prospective or retrospective reports and effect sizes increased by between 17% and 54%. Controlling contamination had a smaller impact on effect size increases for externalizing behaviors but did produce a statistically significant overall effect, relative to the model ignoring contamination, when prospective methods were used. CONCLUSIONS: The presence of contamination in a nonmaltreated comparison group can underestimate the magnitude and statistical significance of causal effect size estimates, especially when investigating internalizing behavior problems. Addressing contamination can facilitate the replication of results across studies.

The effect of hair type and texture on electroencephalography and event-related potential data quality.

Research utilizing event-related potential (ERP) methods is generally biased with regard to sample representativeness. Among the myriad of factors that contribute to sample bias are researchers' assumptions about the extent to which racial differences in hair texture, volume, and style impact electrode placement, and subsequently, study eligibility. The current study examines these impacts using data collected from n = 213 individuals ages 17-19 years, and offers guidance on collection of ERP data across the full spectrum of hair types. Individual differences were quantified for hair texture using a visual scale, and for hair volume by measuring the amount of gel used in cap preparation. Electroencephalography data quality was assessed with multiple metrics at the preprocessing, post-processing, and variable generation stages. Results indicate that hair volume is associated with small, but systematic differences in signal quality and signal amplitude. Such differences are highly problematic as they could be misattributed to cognitive differences among groups. However, inclusion of gel volume as a covariate to account for individual differences in hair volume significantly reduced, and in most cases eliminated, group differences. We discuss strategies for overcoming real and perceived technical barriers for researchers seeking to achieve greater inclusivity and representativeness in ERP research.

How are Conversations via an On-Demand Peer-To-Peer Emotional Well-Being App Associated with Emotional Improvement?

Non-clinical, on-demand peer-to-peer (PtP) support apps have become increasingly popular over the past several years. Although not as pervasive as general self-help apps, these PtP support apps are usually free and instantly connect individuals through live texting with a non-clinical volunteer who has been minimally trained to listen and offer support. To date, there is little empirical work that examines whether and how using an on-demand PtP support app improves emotional well-being. Applying regression and multilevel models to N = 1000+ PtP conversations, this study examined whether individuals experience emotional improvement following a conversation on a PtP support app (HearMe) and whether dyadic characteristics of the conversation - specifically, verbal and emotional synchrony - are associated with individuals' emotional improvement. We found that individuals reported emotional improvement following a conversation on the PtP support app and that verbal (but not emotional) synchrony was associated with the extent of individuals' emotional improvement. Our results suggest that online PtP support apps are a viable source of help. We discuss cautions and considerations when applying our findings to enhance the delivery of support provision on PtP apps.

Younger Than Ever? Subjective Age Is Becoming Younger and Remains More Stable in Middle-Age and Older Adults Today.

Little is known about historical shifts in subjective age (i.e., how old individuals feel). Moving beyond the very few time-lagged cross-sectional cohort comparisons, we examined historical shifts in within-person trajectories of subjective age from midlife to advanced old age. We used cohort-comparative longitudinal data from middle-age and older adults in the German Ageing Survey (N = 14,928; ~50% female) who lived in Germany and were between 40 and 85 years old when entering the study. They provided up to seven observations over 24 years. Results revealed that being born later in historical time is associated with feeling younger by 2% every birth-year decade and with less intraindividual change toward an older subjective age. Women reported feeling younger than men; this gender gap widened across cohorts. The association of higher education with younger subjective age became weaker across cohorts. Potential reasons for the subjective-rejuvenation effect across cohorts are discussed.

Today's Older Adults Are Cognitively Fitter Than Older Adults Were 20 Years Ago, but When and How They Decline Is No Different Than in the Past.

History-graded increases in older adults' levels of cognitive performance are well documented, but little is known about historical shifts in within-person change: cognitive decline and onset of decline. We combined harmonized perceptual-motor speed data from independent samples recruited in 1990 and 2010 to obtain 2,008 age-matched longitudinal observations (M = 78 years, 50% women) from 228 participants in the Berlin Aging Study (BASE) and 583 participants in the Berlin Aging Study II (BASE-II). We used nonlinear growth models that orthogonalized within- and between-person age effects and controlled for retest effects. At age 78, the later-born BASE-II cohort substantially outperformed the earlier-born BASE cohort (d = 1.20; 25 years of age difference). Age trajectories, however, were parallel, and there was no evidence of cohort differences in the amount or rate of decline and the onset of decline. Cognitive functioning has shifted to higher levels, but cognitive decline in old age appears to proceed similarly as it did two decades ago.

Beyond Big Five trait domains: Stability and change in personality facets across midlife and old age.

OBJECTIVE: Accumulated evidence indicates both stable and malleable parts of inter-individual differences in the broad Big Five domains. Less is known, however, about stability and change at the more diversified facet level. With the current study, we fill this gap by investigating personality stability and change across midlife and old age. METHOD: We apply local structural equation measurement models and second-order growth curve models to four waves of data obtained with the full NEO Personality Inventory (NEO-PI-R) collected over 11 years from 1667 adults (Mage  = 62.69 years, SDage  = 15.62, 55% female) who participated in the Seattle Longitudinal Study. RESULTS: Measurement invariance analyses indicated that the psychometric properties of the NEO-PI-R facets are comparable across time and age. Results revealed substantial rank-order stabilities across all facets, yet the exact pattern varied strongly between facets of the same trait and across traits. Mean-level change of facets from midlife to old age largely mirrored the mean-level change observed for the broader traits. CONCLUSION: We discuss conceptual implications and argue that in the face of overall stability across midlife and old age, changes in the rank-ordering of people reveals a much more complex and diverse pattern of development than analyses at the trait level suggest.

Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability.

Advances in ability to comprehensively record individuals' digital lives and in AI modeling of those data facilitate new possibilities for describing, predicting, and generating a wide variety of behavioral processes. In this paper, we consider these advances from a person-specific perspective, including whether the pervasive concerns about generalizability of results might be productively reframed with respect to transferability of models, and how self-supervision and new deep neural network architectures that facilitate transfer learning can be applied in a person-specific way to the super-intensive longitudinal data arriving in the Human Screenome Project. In developing the possibilities, we suggest Molenaar add a statement to the person-specific Manifesto - "In short, the concerns about generalizability commonly leveled at the person-specific paradigm are unfounded and can be fully and completely replaced with discussion and demonstrations of transferability."

Acting Like a Baby Boomer? Birth-Cohort Differences in Adults' Personality Trajectories During the Last Half a Century.

Society and developmental theory generally assume that there are wide generational differences in personality. Yet evidence showing historical change in the levels of adult Big Five traits is scarce and particularly so for developmental change. We tracked adult trajectories of personality in 4,732 participants (age: M = 52.93 years, SD = 16.69; 53% female) from the Seattle Longitudinal Study (born 1883-1976) across 50 years. Multilevel models revealed evidence for historical change in personality: At age 56, later-born cohorts exhibited lower levels of maturity-related traits (agreeableness and neuroticism) and higher levels of agency-related traits (extraversion and openness) than earlier-born cohorts. Historical changes in agreeableness and neuroticism were more pronounced among young adults, but changes in openness were less pronounced. Cohort differences in change were rare and were observed only for agreeableness; within-person increases were more pronounced among later-born cohorts. Our results yield the first evidence for historical change in the Big Five across adulthood and point to the roles of delayed social-investment and maturity effects.

Immune cell dynamics in response to an acute laboratory stressor: a within-person between-group analysis of the biological impact of early life adversity.

Early life adversity (ELA) is a risk factor for early onset morbidities and mortality, a relationship that may be driven in part by immune system dysregulation. One mechanism of dysregulation that has yet to be fully examined in the context of ELA is alterations to immune cell dynamics in response to acute stress. Using a within-person between-group experimental design, we investigated stress-induced changes in immune cell populations, and how these changes may be altered in individuals with a history of ELA. Participants were young adults (N = 34, aged 18-25 years, 53% female, 47% with a history of ELA). Complete immune cell counts were measured at four time-points over a 5-hour window across two sessions (Trier Social Stress Test [TSST] vs. no-stress) separated by a week. Across all participants, total white blood cells increased over time (F(3,84)=38.97, p < .001) with a greater increase in response to the TSST compared to the no-stress condition at 240 minutes post-test (b = 0.43±.19; t(179)=2.22, p = .027). This pattern was mirrored by neutrophil counts. Lymphocyte counts were initially depressed by TSST exposure (b =-205±.67; t(184)=-3.07, p = .002) but recovered above baseline. ELA status was associated with higher stress-induced immune cell counts, a difference likely driven by increases in neutrophils (F(1,22)=4.45, p = .046). Overall, these results indicate differential immune cell dynamics in response to acute stress in individuals with a history of ELA. This points to altered immune system functioning in the context of stress, a finding that may be driving increased morbidity and mortality risk for ELA-exposed individuals.

A dynamic systems account of parental self-regulation processes in the context of challenging child behavior.

To advance the understanding of how parental self-regulation contributes to their role in supporting children's development, this study proposes a model of the dynamic processes involved in parental self-regulation. Based on time-series data from 157 mothers and their 30- to 60-month-old children (49.7% female; 96% White; data collected June 2017-December 2019 in central Pennsylvania, U.S.) during a challenging wait task, the model was tested by examining the temporal relations among challenging child behavior, maternal physiology, and maternal responsiveness. Results were consistent with the hypothesized dynamic negative feedback processes and revealed their associations with the overall quality of parenting behaviors and experiences. Findings elucidate how parents adapt to competing external (attending to child) and internal (restoring parents' equilibrium) demands during parenting challenges.

Daily Stressors, Emotion Dynamics, and Inflammation in the MIDUS Cohort.

BACKGROUND: The current study (1) examined links between daily stressors and inflammation and (2) tested whether negative emotion dynamics (emotional variability) is one pathway through which stressors are linked to inflammation. METHOD: A cross-sectional sample of 986 adults (aged 35-86 years, 57% female) from MIDUS reported daily stressor frequency and severity and negative emotions on 8 consecutive nights. Negative emotion variability (intraindividual standard deviation), controlling for overall mean level (intraindividual mean), was the focus of the current study. Interleukin-6 (IL-6) and C-reactive protein (CRP) were assayed from blood drawn at a clinic visit. Regression models adjusted for demographics, health factors, and the time between assessments. RESULTS: More severe daily stressors were associated with higher CRP, but this effect was accounted for by covariates. More frequent daily stressors were associated with lower IL-6 and CRP. In follow-up analyses, significant interactions between stressor severity and frequency suggested that participants with lower stressor severity and higher stressor frequency had the lowest levels of IL-6 and CRP, whereas those with higher stressor severity had the highest levels of IL-6 and CRP, regardless of frequency. Daily stressor frequency and severity were positively associated with negative emotion variability, but variability was not linearly associated with inflammation and did not operate as a mediator. CONCLUSION: Among midlife and older adults, daily stressor frequency and severity may interact and synergistically associate with inflammatory markers, potentially due to these adults being advantaged in other ways related to lower inflammation, or in a pattern aligning with hormetic stress, where frequent but manageable stressors may yield physiological benefits, or both. Negative emotion variability does not operate as a mediator. Additional work is needed to reliably measure and test other emotion dynamic metrics that may contribute to inflammation.

Adolescent Substance Use Behavior Change Through School Intervention Is Improved by Teacher and School Implementation Support Together, Especially for Girls.

An earlier trial of a school-based, preventative intervention, HealthWise South Africa, demonstrated some efficacy in preventing adolescent drinking and smoking in the Western Cape, South Africa. This was followed by the current implementation trial, which examined how implementation support conditions influenced adolescent drinking and smoking behavior change in the HealthWise intervention. The hybridized implementation-effectiveness trial included 34 schools (n = 2175 students) that provided student data at four waves through Grades 8 to 10. Implementation support conditions included a combination of two components (enhanced school environment and teacher consultation), resulting in four conditions: enhanced school environment, teacher consultation, both components, and standard delivery. Using configural frequency analysis, we examined how drinking and smoking behavior change differed across four configurations of intervention support longitudinally and by gender. For baseline non-smokers, results indicated sustained differences in abstention from smoking and smoking initiation between schools that received both support components and schools in the standard delivery condition. These results were primarily driven by girls. For baseline drinkers and smokers in the both components condition, changes in drinking were delayed until Grade 9 and smoking decayed by Grade 10. Results suggest that providing both school and teacher implementation support synergistically facilitates improved intervention outcomes both immediately following intervention and 2 years later across schools with diverse resource levels. Future iterations of HealthWise, and other interventions, may benefit from a multilevel implementation support strategy to improve student outcomes. More research is needed to understand how to improve HealthWise effectiveness among boys.

Describing and Controlling Multivariate Nonlinear Dynamics: A Boolean Network Approach.

We introduce a discrete-time dynamical system method, the Boolean network method, that may be useful for modeling, studying, and controlling nonlinear dynamics in multivariate systems, particularly when binary time-series are available. We introduce the method in three steps: inference of the temporal relations as Boolean functions, extraction of attractors and assignment of desirability based on domain knowledge, and design of network control to direct a psychological system toward a desired attractor. To demonstrate how the Boolean network can describe and prescribe control for emotion regulation dynamics, we applied this method to data from a study of how children use bidding to an adult and/or distraction to regulate their anger during a frustrating task (N = 120, T = 480 seconds). Network control strategies were designed to move the child into attractors where anger is OFF. The sample shows heterogeneous emotion regulation dynamics across children in 22 distinct Boolean networks, and heterogeneous control strategies regarding which behavior to perturb and how to perturb it. The Boolean network method provides a novel method to describe nonlinear dynamics in multivariate psychological systems and is a method with potential to eventually inform the design of interventions that can guide those systems toward desired goals.

Leisure Boredom, Timing of Sexual Debut, and Co-Occurring Behaviors among South African Adolescents.

Sex during adolescence is normative; however, there are substantial individual differences in the timing and context of sexual debut. Leisure boredom is an underexplored correlate of sexual behavior that is associated with many adolescent health outcomes. We investigated if and how individual differences in leisure boredom may be associated with timing of sexual debut, and whether individuals engage in safe or risky behaviors at debut. Survival analysis, logistic regression, and Poisson regression were applied to eight-wave longitudinal data obtained from 3,088 South African adolescents (baseline Mage = 13.9 years) to examine associations between leisure boredom and cumulative hazard of sexual debut across adolescence, odds of co-occurring sexual behaviors, and incidence rate of co-occurring sexual risk behaviors at debut. Higher levels of leisure boredom were associated with elevated hazard cumulatively across adolescence. Higher levels of leisure boredom were also associated with lower odds of safe sex and higher odds of substance use during sex and transactional sex at sexual debut, but not casual sex or condom non-use at sexual debut. Although odds of singular risk behaviors were lower for girls than for boys, the association between leisure boredom and the number of risk behaviors at sexual debut was stronger for girls than boys. Higher trait leisure boredom was associated with elevated hazard of sexual debut, greater likelihood that risky behaviors accompanied sexual debut, and greater number of co-occurring risky behaviors at sexual debut. Results support leisure boredom as a potential target for preventing sexual risk behavior among South African adolescents.

Youth Internalizing Problems and Changes in Parent-Child Relationships Across Early Adolescence: Lability and Developmental Trends.

Few longitudinal studies examine how changes in parent-child relationships are associated with changes in youth internalizing problems. In this longitudinal study, we investigated how developmental trends (linear change) and year-to-year lability (within-person fluctuations) in parental warmth and hostility across Grade 6-8 predict youth internalizing problems in Grade 9 (N = 618) and whether these linkages differ for boys and girls. Developmental trends (greater decreases in warmth, increases in hostility) were associated with more youth internalizing problems. Greater year-to-year lability (more fluctuations) in father hostility and warmth were also associated with more internalizing problems. Greater lability in mother warmth was associated with more internalizing problems for girls only. The strongest effects of lability on internalizing problems were found for youth with the highest lability scores. This study underscores the importance of differentiating developmental trends from lability in parent-child relationships, both of which may be important for youth internalizing problems.

Strategies for Assessing and Modeling Depressive Symptoms in Longitudinal Studies of Adolescents.

Studying age-related change in psychosocial behavior is difficult because manifestation differs with development. While the use of age-appropriate measurement instruments addresses developmental differences, changes in measurement also challenge researchers' ability to study developmental trajectories. Leveraging 8-occasion data from 262 girls (baseline ages 11 and 17 years) participating in a cross-sequential study spanning childhood to adulthood, this paper (1) highlights the needs of developmental researchers seeking to measure change across large swaths of development, (2) forwards an initial formula to convert Beck Depression Inventory-II scores into Children's Depression Inventory scores and facilitate longitudinal analysis and understanding of how depression develops across adolescence, and (3) suggests collection and analysis of new data that would better facilitate researcher's linking of child-, adolescent-, and adult-oriented measurement instruments.

Exploring Processes in Day-to-Day Parent-Adolescent Conflict and Angry Mood: Evidence for Circular Causality.

Parent-adolescent conflict has been studied both as a precursor of long-term macrolevel developmental risks and as an outcome of microlevel, moment-to-moment interaction patterns. However, the family-level processes underlying the maintenance or regulation of conflict in daily life are largely overlooked. A meso-level understanding of parent-adolescent conflict offers important practical insights that have direct implications for interventions. The present study explores day-to-day reciprocal processes and carryover in parents' and adolescents' experiences of anger and conflict. Daily diary data provided by parent-adolescent dyads (N = 151) from two-caregiver households (adolescents: 61.59% female, mean age = 14.60 years) over 21 days were examined using a multivariate Poisson multilevel model to evaluate the circular causality principle in parents' and adolescents' daily conflict and anger. Findings offer empirical support for the theory, suggesting that parents' and adolescents' anger and conflict exist together in a feedback loop wherein conflict is both a consequence of past anger and also an antecedent of future anger, both within and across persons. Increased understanding of the daily interaction patterns and maintenance of parent-adolescent conflict can guide more informed, targeted, and well-timed interventions intended to ameliorate the consequences of problematic parent-adolescent conflict sequences.

El conflicto entre padres y adolescentes se ha estudiado como precursor de riesgos del desarrollo a nivel macro y a largo plazo y como resultado de los patrones de interacción a cada momento y a nivel micro. Sin embargo, los procesos a nivel familiar que subyacen al mantenimiento o a la regulación del conflicto en la vida diaria se pasan por alto en gran medida. Una comprensión a nivel meso del conflicto entre padres y adolescentes ofrece importantes conocimientos prácticos que tienen consecuencias directas para las intervenciones. El presente estudio analiza los procesos recíprocos diarios y residuales en las experiencias de enfado y conflicto de los padres y los adolescentes. Se analizaron los datos de los registros diarios proporcionados por las díadas padre-adolescente (N= 151) de dos hogares de cuidadores (adolescentes: 61.59 % sexo femenino, edad promedio= 14.60 años) durante 21 días utilizando un modelo multivariado y multinivel de Poisson para evaluar el principio de causalidad circular en el conflicto y el enfado diarios de los padres y los adolescentes. Los resultados ofrecen respaldo empírico para la teoría, ya que sugieren que el enfado y el conflicto de los padres y los adolescentes existen juntos en un círculo vicioso en el cual el conflicto es tanto una consecuencia del enfado anterior como un antecedente del enfado futuro, tanto dentro como entre las personas. Una mayor comprensión de los patrones de interacción diaria y del mantenimiento del conflicto entre padres y adolescentes puede guiar intervenciones más informadas, orientadas y oportunas destinadas a mejorar las consecuencias de las secuencias problemáticas de conflicto entre padres y adolescentes.

Screenomics: A New Approach for Observing and Studying Individuals' Digital Lives.

AIMS: This study describes when and how adolescents engage with their fast-moving and dynamic digital environment as they go about their daily lives. We illustrate a new approach - screenomics - for capturing, visualizing, and analyzing screenomes, the record of individuals' day-to-day digital experiences. SAMPLE: Over 500,000 smartphone screenshots provided by four Latino/Hispanic youth, age 14-15 years, from low-income, racial/ethnic minority neighborhoods. METHOD: Screenomes collected from smartphones for one to three months, as sequences of smartphone screenshots obtained every five seconds that the device is activated, are analyzed using computational machinery for processing images and text, machine learning algorithms, human-labeling, and qualitative inquiry. FINDINGS: Adolescents' digital lives differ substantially across persons, days, hours, and minutes. Screenomes highlight the extent of switching among multiple applications, and how each adolescent is exposed to different content at different times for different durations - with apps, food-related content, and sentiment as illustrative examples. IMPLICATIONS: We propose that the screenome provides the fine granularity of data needed to study individuals' digital lives, for testing existing theories about media use, and for generation of new theory about the interplay between digital media and development.

Emotion dysregulation as a dynamic process.

In this article we adopt the view that emotion dysregulation is characterized by emotion regulation dynamics that are defined as dysfunctional based on contextual criteria. We regard the construct of emotion regulation as valuable because it permits the integration of the classic view of emotions as interfering with human functioning and contemporary views of emotion as adaptive and beneficial. To define patterns that reflect emotion dysregulation, we explain our views of emotion as a dynamic process, and emotion regulation as the bidirectional interplay between emotions and actions/thoughts (extrinsic factors) and the contextual factors that constitute the criteria for that interplay reflecting dysregulation. This conceptualization of emotion regulation and dysregulation leads to methods for studying the intrinsic dynamics of emotion, extrinsic factors that change the intrinsic dynamics of emotion, and how emotion regulation changes over time at multiple time scales. We then apply this thinking to several emotion dysregulation patterns. Emotion regulation is a complex construct, embracing emotion as regulator and as regulated, as self- and other-regulated, and as incorporating both top-down and bottom-up regulatory processes. We highlight an emerging line of research on the development of emotion regulation in early childhood and indicate how this work can inform understanding of emotion dysregulation and the emergence of psychopathology.