The longitudinal association of adverse events and working memory among preschoolers: A random-intercept cross-lag analysis.

OBJECTIVE: Past research examining the relation between adversity and working memory (WM) has found mixed results and has been limited by methodological issues (e.g., cross-sectional studies, limited measurement of adversity). The present study examined how adverse life events may impact WM among preschoolers who live in financially underresourced families and communities longitudinally over the course of 1 year. METHOD: The sample included 325 children (aged 3-5 at baseline), recruited because of their increased risk of exposure to high levels of adversity, and their primary caregivers. Children completed WM tasks and caregivers reported on their child's exposure to adverse events in the past 6 months across three time points, each time point occurring 6 months apart. Associations between adverse life events and WM over time were explored using a random-intercept cross-lagged panel model. RESULTS: No relations between preschoolers' adverse event exposure and WM (B = 0.05-0.75, p = .056-.764) were found across the three time points. CONCLUSION: Results indicated that at the individual level, when controlling for stable covariates, frequency of adverse life event exposure and WM abilities were unrelated to subsequent frequency of adverse event exposure and WM abilities. Findings suggest that WM may continue to develop typically, in the preschool years, despite exposure to adverse life events. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Unveiling hidden dimensions: A novel bifactor approach to unraveling adverse childhood experiences.

BACKGROUND: Adverse Childhood Experiences (ACEs) are associated with diverse negative health outcomes and are commonly screened for in primary care, research, and clinical practice. However, more research is needed surrounding the conceptualization, measurement, and application of ACEs measures. OBJECTIVE: This study examines the bifactor structure and internal reliability of a short, practical, and commonly used ACEs questionnaire and assesses how the factor structure is associated with correlates of ACEs. PARTICIPANTS AND SETTING: Data from Utah's 2020 Behavioral Risk Factor Surveillance System, a telephone survey assessing the prevalence of health-related behaviors among a sample of adults in Utah (N = 8978, Mage = 51.5, SD = 19.4, Range = 18-99; 50 % female, 87.1 % White) was analyzed. METHODS: Exploratory and confirmatory factor analyses were conducted to determine the best-fitting factor structure and examined correlations between the identified factors and poor health and substance use with structural equation modeling. RESULTS: A three-factor bifactor model best fit the data and its components had associations of different direction and magnitude with outcomes (bifactor: health ß = 0.83, p < .001, substance use ß = 0.14, p = .025; household hardship: health ß = -0.49, p < .001, substance use ß = 0.23, p < .001; general abuse: health ß = -0.63, p < .001, substance use ß = 0.18, p = .036; sexual abuse: health ß = -0.25, p < .001). CONCLUSIONS: Results highlight the importance of using a bifactor approach to examine and score ACEs measures rather than a traditional total sum score method.

Creating profiles of juvenile offenders using functions of aggression and callous-unemotional traits: relations to crime type.

A rich line of criminological theories and research has suggested that individual characteristics may be important to predicting criminal activity. However, there is limited research examining how individual characteristics may be related to the type of crime committed (e.g. violent, sex, drug). To provide guidance to these questions, the current set of two studies used latent profile analysis to identify groups of offenders based on individual factors (i.e. proactive and reactive aggression, and callous-unemotional traits), chosen for their interrelatedness and their established associations with crime, and examined whether these groups relate to type, severity or the number of crimes committed across two studies. In both studies, four groups of offenders were identified, but these groups were not associated with offending behaviors or patterns. Findings and implications are discussed.

Parenting and Adjustment Problems among Preschoolers during COVID-19.

A critical area of developmental science explores factors that confer risk or protection as young children and their families experience stressful circumstances related to sociohistorical events. This study contributes to this important area by assessing relations between family context and child adjustment as children transitioned from preschool to home learning during COVID-19, and whether children higher in stress levels, indexed by morning basal cortisol, were more strongly affected. Parents of 74 children (M age = 53.56 months, SD age = 3.68 months) completed reports spanning the home learning transition; children's pre-COVID-19 transition salivary cortisol levels were assessed. Path analyses were used to test the preregistered study aims. Significant interactions were decomposed using simple slopes and Preacher's Regions of Significance (ROS) method. Across the COVID-19 transition to home-based school, children with higher morning basal cortisol experienced the sharpest increase in anger when exposed to harsh/inconsistent parenting contexts. Importantly, these effects held when controlling for household chaos, socioeconomic resources, and supportive parenting. Parallel models with supportive parenting were also tested and are discussed. This study is one of the first to test and provide support for biological sensitivity to context theory within the context of a natural experiment like COVID-19.

Attachment as a Moderator in the Relation Between Child Maltreatment and Symptoms of Depression.

Experiencing child maltreatment is a risk factor for later psychopathology; however, not all survivors of child maltreatment go on to develop mental health diagnoses. There are likely important risk factors that act as moderators interacting with child maltreatment to contribute to the development of psychopathology. The present study examined the attachment dimensions of anxiety and avoidance as potential moderators in the association between child maltreatment and depressive symptomatology in a sample of college students. An attachment style high in anxiety or avoidance was expected to exacerbate the effect of child maltreatment on depressive symptomatology across both primary and secondary caregiver attachment relationships. This study was conducted at a private university in the northeastern United States in a sample of college students (N = 203; 52% male; Mage = 19.85, SDage = 2.19). Participants completed online measures of attachment, current mood symptoms, and demographic information. Two moderation models were tested, one for attachment to primary caregivers and one for attachment to secondary caregivers. Anxious attachment to primary caregivers moderated the relationship between child maltreatment and depressive symptoms (B = -0.16, p < .01, R2 =.44). However, moderation was not significant in the secondary caregiver attachment relationship. Maladaptive attachment styles, as well as child maltreatment itself, may result in disruptions in the development of positive internal working models of the self and others and adaptive emotion regulation. In cases of child maltreatment, interventions focused on the parent-child attachment relationship may have long-lasting effects and implications for the child's future mental health. This research highlights important areas of intervention in cases of child maltreatment as well as important differences in the anxiety and avoidance dimensions of attachment.