Zoom or In-Person: An Ecological Momentary Assessment Study of Time with Friends and Depressive Symptoms on Affect in Emerging Adults

Temporal Dynamics of Positive and Negative Affect in Adolescents: Associations with Depressive Disorders and Risk

Alterations in dynamic affective processes are associated with dysregulated affect and depression. Although depression is often associated with heightened inertia (i.e., greater moment-to-moment correlation) and variability (i.e., larger departures from typical levels) of affect in adults, less is known about whether altered affect dynamics are present in youth at risk for depression. This study investigated the association of clinical depression and depression risk with the inertia and variability of positive and negative affect in a sample of youth at varying risk for depression. Our sample included 147 adolescents aged 14 to 17, categorized into three groups: never-depressed lower-risk, never-depressed higher-risk (based on maternal history of depression), and currently depressed adolescents. Adolescents completed ecological momentary assessments of positive and negative affect up to seven times per day for a week. Multilevel models and ANOVAs were used to examine associations of affective inertia and variability with adolescent depression and risk based on maternal history, controlling for average affect. Depressed adolescents showed more inert and diminished positive affect, and more variable and elevated negative affect compared to lower- and higher-risk youth, though associations attenuated after controlling for average affect. No differences were identified between never-depressed higher-risk and lower-risk youth. Additional longitudinal studies are needed to evaluate whether altered affect dynamics in daily life precede depression onset to understand their utility for developing preventive interventions.

Effect of Daily Life Reward Loop Functioning on the Course of Depression

Engagement in activities increases positive affect (Reward Path 1), which subsequently reinforces motivation (Reward Path 2), and hence future engagement in activities (Reward Path 3). Strong connections between these three reward loop components are considered adaptive, and might be disturbed in depression. Although some ecological nomentary assessment (EMA) studies have investigated the cross-sectional association between separate reward paths and individuals' level of depression, no EMA study has looked into the association between individuals' reward loop strength and depressive symptom course. The present EMA study assessed reward loop functioning (5x/day, 28 days) of 46 outpatients starting depression treatment at secondary mental health services and monitored with the Inventory of Depressive Symptomatology-Self-Report (IDS-SR) during a 7-month period. Results of multilevel regression analyses showed significant within-person associations for Reward Path 1 (b = 0.21, p < .001), Reward Path 2 (b = 0.43, p < .001), and Reward Path 3 (b = 0.20, p < .001). Stronger average reward loops (i.e., within-person mean of all reward paths) did not relate to participants' improvement in depressive symptoms over time. Path-specific results revealed that Reward Paths 1 and 2 may have partly opposite effects on depressive symptom course. Together, our findings suggest that reward processes in daily life might be best studied separately and that further investigation is warranted to explore under what circumstances strong paths are adaptive or not.

Child development in real time: The power of ambulatory assessment for investigating dynamic developmental processes and behavior longitudinally

Ambulatory assessment methods used to capture "real-world" microprocesses through self-report or passive data collection are used to assess child and adolescent behavior in context. This chapter begins by introducing the researcher to ambulatory assessment methods and describes these methods for use in child and adolescent developmental and behavioral research. Next, the importance of attention to timing is discussed. We then suggest appropriate analytic methods for putting ambulatory assessment data to best use to answer developmental research questions. We end with comments on the ethics of ambulatory assessment data and some concluding remarks for researchers wanting to use these methods in their own work.