Longitudinal associations of diabetes-specific family conflict and diabetes management in adolescents with type 1 diabetes.

INTRODUCTION: Diabetes-specific family conflict is a risk factor for diabetes indicators (e.g., higher hemoglobin A1c (HbA1c), lower adherence), but little longitudinal data are available to understand associations across time. To better inform targets and timing of interventions, we examined (a) whether fluctuations in conflict covary with diabetes indicators within adolescents across time; (b) whether reciprocal associations exist; and (c) whether aspects of the parent-adolescent relationship (e.g., parental acceptance) buffer associations across time. METHOD: Adolescents (N = 235, ages 11.5-15.5 at baseline, 53.6% female) completed measures of diabetes-related conflict with mothers and with fathers (separately), parental acceptance, and adherence every 6 months across 1 year (three time points). HbA1c was obtained from medical records. Data were collected in 2009. RESULTS: Bivariate between-person correlations indicated that at each time point, adolescents who reported more conflict with mothers and fathers also had higher HbA1c and lower adherence. Within-person correlations (fluctuations across three time points) indicated that fluctuations in conflict with mothers were associated with fluctuations in HbA1c but not adherence. Actor-partner multilevel models indicated that fluctuations in family conflict at each time point were not associated with future diabetes indicators. Parental acceptance did not moderate associations of family conflict and diabetes indicators. DISCUSSION: While findings corroborate extant literature noting that adolescents with high average diabetes-specific family conflict may benefit from interventions designed to reduce conflict, conflict at one time point may not be predictive of future diabetes indicators. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Neurophysiological Correlates of Reading Difficulties in Elementary School Children.

The present study examined the event-related potentials (ERPs) and reading-language skills of elementary school children with and without reading difficulties. Typically developing children showed an N400 effect characterized by significantly larger N400 amplitudes elicited by nonwords than real words. Their meaning processing shown by the N400 systematically differed by lexicality. On the other hand, the N400 effect was absent in children with reading difficultiesExploratory analyses were conducted with the N1 and Late Positive Component. Additionally, the relationships between ERPs and reading-language skills were examined; sight word efficiency and phonemic decoding efficiency accounted for significant variance in the N400 effect.

Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study.

BACKGROUND: Data that can be easily, efficiently, and safely collected via cell phones and other digital devices have great potential for clinical application. Here, we focus on how these data could be used to refine and augment intervention strategies for binge eating disorder (BED) and bulimia nervosa (BN), conditions that lack highly efficacious, enduring, and accessible treatments. These data are easy to collect digitally but are highly complex and present unique methodological challenges that invite innovative solutions. OBJECTIVE: We describe the digital phenotyping component of the Binge Eating Genetics Initiative, which uses personal digital device data to capture dynamic patterns of risk for binge and purge episodes. Characteristic data signatures will ultimately be used to develop personalized models of eating disorder pathologies and just-in-time interventions to reduce risk for related behaviors. Here, we focus on the methods used to prepare the data for analysis and discuss how these approaches can be generalized beyond the current application. METHODS: The University of North Carolina Biomedical Institutional Review Board approved all study procedures. Participants who met diagnostic criteria for BED or BN provided real time assessments of eating behaviors and feelings through the Recovery Record app delivered on iPhones and the Apple Watches. Continuous passive measures of physiological activation (heart rate) and physical activity (step count) were collected from Apple Watches over 30 days. Data were cleaned to account for user and device recording errors, including duplicate entries and unreliable heart rate and step values. Across participants, the proportion of data points removed during cleaning ranged from <0.1% to 2.4%, depending on the data source. To prepare the data for multivariate time series analysis, we used a novel data handling approach to address variable measurement frequency across data sources and devices. This involved mapping heart rate, step count, feeling ratings, and eating disorder behaviors onto simultaneous minute-level time series that will enable the characterization of individual- and group-level regulatory dynamics preceding and following binge and purge episodes. RESULTS: Data collection and cleaning are complete. Between August 2017 and May 2021, 1019 participants provided an average of 25 days of data yielding 3,419,937 heart rate values, 1,635,993 step counts, 8274 binge or purge events, and 85,200 feeling observations. Analysis will begin in spring 2022. CONCLUSIONS: We provide a detailed description of the methods used to collect, clean, and prepare personal digital device data from one component of a large, longitudinal eating disorder study. The results will identify digital signatures of increased risk for binge and purge events, which may ultimately be used to create digital interventions for BED and BN. Our goal is to contribute to increased transparency in the handling and analysis of personal digital device data. TRIAL REGISTRATION: ClinicalTrials.gov NCT04162574; https://clinicaltrials.gov/ct2/show/NCT04162574. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38294.

Retention, engagement, and binge-eating outcomes: Evaluating feasibility of the Binge-Eating Genetics Initiative study.

OBJECTIVE: Using preliminary data from the Binge-Eating Genetics Initiative (BEGIN), we evaluated the feasibility of delivering an eating disorder digital app, Recovery Record, through smartphone and wearable technology for individuals with binge-type eating disorders. METHODS: Participants (n = 170; 96% female) between 18 and 45 years old with lived experience of binge-eating disorder or bulimia nervosa and current binge-eating episodes were recruited through the Recovery Record app. They were randomized into a Watch (first-generation Apple Watch + iPhone) or iPhone group; they engaged with the app over 30 days and completed baseline and endpoint surveys. Retention, engagement, and associations between severity of illness and engagement were evaluated. RESULTS: Significantly more participants in the Watch group completed the study (p = .045); this group had greater engagement than the iPhone group (p's < .05; pseudo-R2 McFadden effect size = .01-.34). Overall, binge-eating episodes, reported for the previous 28 days, were significantly reduced from baseline (mean = 12.3) to endpoint (mean = 6.4): most participants in the Watch (60%) and iPhone (66%) groups reported reduced binge-eating episodes from baseline to endpoint. There were no significant group differences across measures of binge eating. In the Watch group, participants with fewer episodes of binge eating at baseline were more engaged (p's < .05; pseudo-R2 McFadden  = .01-.02). Engagement did not significantly predict binge eating at endpoint nor change in binge-eating episodes from baseline to endpoint for both the Watch and iPhone groups. DISCUSSION: Using wearable technology alongside iPhones to deliver an eating disorder app may improve study completion and app engagement compared with using iPhones alone.

Childhood Resilient Personality Trajectories and Associations with Developmental Trajectories of Behavioral, Social-emotional, and Academic Outcomes across Childhood and Adolescence: A Longitudinal Study Across 12 Years.

This study examined the continuity and change of childhood resilient personality (first three years in grade school), and how differential trajectories in resilient personality were dynamically associated with behavioral problems, social-emotional functioning and academic performance across the primary and secondary school years (Grade 1-12). Participants were 784 academically at-risk students predominantly from low SES families (47% girls, 37.4% Latino or Hispanic, 34.1% European American, and 23.2% African American) who were recruited in grade 1 (Mean age = 6.57) and followed annually through the final year of high school (Grade 12). Results revealed three distinct trajectories of childhood resilient personality, including an ego-resilient or flexible group (26.8%), an ego-brittle or inflexible group (21.9%), and an ordinary or common group (49.9%). Children in the ego-brittle group were at a greater risk for sustaining high levels of behavioral problems, low socio-emotional functioning (based on parent and teacher report), and poor academic performance across formal schooling. In contrast, the resilient children exhibited persistently low behavioral problems, high social-emotional functioning, and better academic performance across formal schooling. Findings also indicated that the protective effect of childhood resiliency was sustained even after the transition from childhood to adolescence.

Developmental dynamics between reading and math in elementary school.

Reading and math attainment develop during elementary grades. Questions remain, though, about the co-developmental nature of the relation between reading and math. This study examined dynamic, longitudinal pathways between reading and math in first through fourth grades. Participants of the study were 554 academically at-risk children (Mage at the first assessment point = 6.57 years; SD = 0.38) from Texas Project Achieve. Children were assessed utilizing the Woodcock-Johnson-III reading and math measures. Results from dynamic bivariate latent change score models indicated unidirectional longitudinal coupling effects from reading to math. Specifically, average and high levels of reading performance were associated with subsequent gains in math growth, in particular for below average performing children in math. In contrast, low levels of reading performance had negligible or no amplifying influences on change in math growth. The nature of the dynamics was replicated even when controlling for nonverbal cognitive abilities. Results demonstrated that good reading skills pave the way for children to develop their math skills. Such findings underscore the importance of considering reading performance in treating math difficulties.

Developmental trajectories of teacher-student relationships and longitudinal associations with children's conduct problems from Grades 1 to 12.

This study examined the development and continuity of teacher-student relationship quality across the formal schooling years (Grades 1 to 12) and investigated how variations (i.e., differential trajectories) in teacher-student relationship quality were longitudinally associated with children's conduct problems across childhood and adolescence. Participants consisted of 784 students (Mage = 6.57 in Grade 1; 47% girls, 37.4% Latino or Hispanic, 34.1% European American, and 23.2% African American) who were identified as being academically at risk (i.e., had low literacy scores at school entry). Distinct subgroups of children were identified based on variations in their teacher-student warmth and conflict trajectories, and patterns of continuity and change were also assessed across the transition to middle school. The findings provided insights into how the duration, magnitude, and timing of teacher-student relationship quality were associated with children's conduct problems. More specifically, relationships characterized by early-onset deficits, chronic and persistent relationship difficulties, or adolescent-onset conflict were associated with distinct patterns of conduct problems throughout childhood and adolescence.

Trajectories of pure and co-occurring internalizing and externalizing problems from early childhood to adolescence: Associations with early childhood individual and contextual antecedents.

As internalizing and externalizing problems often co-occur, the current study utilized a longitudinal dataset of 784 at-risk children (predominantly from low-income families and academically at-risk; 52.6% male) followed yearly from Grade 1 to Grade 12 to: (a) explore the heterogeneity in the codevelopment patterns of internalizing and externalizing problems by using a person-centered approach, and (b) investigate early childhood antecedents that might explain differentiated codevelopmental patterns. The antecedents consisted of individual (i.e., ego-resilient personality, intelligence, language ability, gender, and ethnicity) and contextual factors (i.e., maternal support and responsiveness, family socioeconomic adversity, teacher-child relationship conflict, and peer rejection). We identified 4 distinct codevelopment patterns including a chronic co-occurring group (30.1%), a moderate co-occurring group (28.5%), a pure-externalizing group (18.6%), and a low-risk group (22.8%). While children who belonged to any of the 3 higher risk groups exhibited more adverse early childhood antecedents compared with the low-risk group, the chronic co-occurring group displayed the most severe profiles of early childhood antecedents compared with the moderate co-occurring and the pure-externalizing groups. Common antecedents for the 3 higher risk groups were lower ego-resilient personality, higher teacher-child relationship conflict, being male, and being African American. Low language ability and peer rejection were identified as unique antecedents for the chronic co-occurring group. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Evaluation of the Strengths and Difficulties Questionnaire-Dysregulation Profile (SDQ-DP).

The Dysregulation Profile (DP) has emerged as a measure of concurrent affective, behavioral and cognitive dysregulation, associated with severe psychopathology, and poor adjustment. While originally developed with the Child Behavior Checklist, more recently the DP has also been defined on the Strengths and Difficulties Questionnaire (SDQ), mostly with a 5-item, but also a 15-item, SDQ-DP measure. This study evaluated the SDQ-DP by examining its factor structure, measurement invariance, and construct validity. Different SDQ-DP operationalizations were compared. In a United States longitudinal community sample (N = 768), a bifactor model consisting of a general Dysregulation factor and three specific factors of Emotional Symptoms, Conduct Problems, and Hyperactivity-Inattention fitted best, across three different developmental periods (early childhood, middle childhood, and adolescence) and across three different reporters (parents, teachers, and youth). Measurement invariance across reporter, gender, and developmental period was demonstrated. These findings indicate that the SDQ-DP, like the CBCL-DP, reflects a broad syndrome of dysregulation that exists in addition to specific syndromes of emotional symptoms, conduct problems, and hyperactivity-inattention. SDQ-DP bifactor scores were strongly related with scores on the 5- and 15-item SDQ-DP measures and similarly concurrently associated with two markers of self-regulation, ego-resiliency and effortful control, and longitudinally with antisocial behavior and disciplinary measures. As reliability, validity, and stability was weaker for the SDQ-DP 5-item measure, use of all 15 items is recommended. Advantages of using a bifactor approach are discussed as well as the potential of the SDQ-DP as an easy screening measure of children at risk for developing serious psychopathology. (PsycINFO Database Record