Daily Associations Between Sleep and Affect in Youth at Risk for Psychopathology: The Moderating Role of Externalizing Symptoms

Network structure of phasic and tonic irritability in adults: A Bayesian Gaussian graphical model

BACKGROUND

Tonic (i.e., irritable mood) and phasic (i.e., temper outbursts) irritability are distinct constructs in childhood, yet there has been little work investigating their relations in adulthood. In particular, no study has examined the relations between these symptoms in the daily lives of adults. The present study seeks to address these gaps by applying a Bayesian Gaussian graphical model to daily diary data of tonic and phasic irritability in adults.

METHOD

A total of 122 participants (Mage = 34.94 [SD = 12.3] years, 52 % female) completed up to 18 days of daily diary, with questions on both tonic and phasic irritability. Contemporaneous, temporal, and between-person networks were constructed using 5 items of tonic and 11 items of phasic irritability. Predictability, centrality, density, and network loadings were also calculated.

RESULTS

Five main findings emerged. First, phasic and tonic irritability were connected in our contemporaneous and temporal networks but distinct in our between-person network. Second, phasic irritability symptoms demonstrated the most importance and influence across networks. Third, tonic irritability symptoms best connected the two subnetworks. Fourth, phasic irritability symptoms appeared to have the potential to be more responsive to interventions. Fifth, tonic irritability demonstrated robust associations with daily functional impairment.

CONCLUSIONS

Tonic and phasic irritability symptoms demonstrate unique associations in the daily lives of adults. Future work should examine the differential potential of these symptoms to respond to targeted interventions.

Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review

Background: Sleep and affective states are closely intertwined. Nevertheless, previous methods to evaluate sleep-affect associations have been limited by poor ecological validity, with a few studies examining temporal or dynamic interactions in naturalistic settings. Objectives: First, to update and integrate evidence from studies investigating the reciprocal relationship between daily sleep and affective phenomena (mood, affect, and emotions) through ambulatory and prospective monitoring. Second, to evaluate differential patterns based on age, affective disorder diagnosis (bipolar, depression, and anxiety), and shift work patterns on day-to-day sleep-emotion dyads. Third, to summarise the use of wearables, actigraphy, and digital tools in assessing longitudinal sleep-affect associations. Method: A comprehensive PRISMA-compliant systematic review was conducted through the EMBASE, Ovid MEDLINE(R), PsycINFO, and Scopus databases. Results: Of the 3024 records screened, 121 studies were included. Bidirectionality of sleep-affect associations was found (in general) across affective disorders (bipolar, depression, and anxiety), shift workers, and healthy participants representing a range of age groups. However, findings were influenced by the sleep indices and affective dimensions operationalised, sampling resolution, time of day effects, and diagnostic status. Conclusions: Sleep disturbances, especially poorer sleep quality and truncated sleep duration, were consistently found to influence positive and negative affective experiences. Sleep was more often a stronger predictor of subsequent daytime affect than vice versa. The strength and magnitude of sleep-affect associations were more robust for subjective (self-reported) sleep parameters compared to objective (actigraphic) sleep parameters.

Introduction to the Special Issue: Novel Insights into the Externalizing Psychopathology Spectrum in Childhood and Adolescence from Intensive Longitudinal Data

Externalizing psychopathology is highly prevalent in children and adolescents. Yet, current understanding of the externalizing psychopathology spectrum is predominantly founded on cross-sectional and conventional longitudinal designs. Compared to these designs, intensive longitudinal data have greater ecological validity and provide insight into within-person fluctuations and short-term developmental dynamics. In this Special Issue, we bring together a selection of 10 innovative and original empirical articles to demonstrate the benefits of intensive longitudinal data for understanding the development of the externalizing psychopathology spectrum during childhood and adolescence, as well as one thoughtful commentary from leaders in the externalizing psychopathology field. In this Introduction to the Special Issue, we describe the articles included in this Special Issue in relation to study designs, timescales, samples, and statistical modeling techniques. We conclude by considering the implications of intensive longitudinal data for informing and enhancing our understanding of externalizing psychopathology with child and adolescent samples, as well as critical future research directions.

The Premise, Promise, and Challenges of Intensive Assessment and Dynamic Quantitative Methods for Child and Adolescent Externalizing Problems

This commentary discusses how papers from the Special Issue fill important gaps in the measurement and quantification of dynamic processes of child behaviors and parent-child interactions linked to child externalizing symptoms. After highlighting some of the innovative qualities of selected papers, challenges and future directions for the development of intensive measurement and dynamic quantitative methods are described. These topics follow from a developmental psychopathology framework that emphasizes measurement using both micro and macro methods, longitudinal research designs, and the recruitment of children that demonstrate clinically meaningful levels of externalizing problem behavior.