The first paper draws upon data from 102 youth participating in an evaluation of a Coping Power adaptation that includes a mindfulness component. Physiological indicators of stress include respiratory sinus arrhythmia and skin conductance. Data were collected pre- and post-intervention, with the primary question of interest being whether there is a treatment impact on these outcomes of interest.
The second paper reports long-term outcomes of a group- vs individual intervention delivery format and explores the potential for baseline emotion regulation (measured through skin conductance reactivity and respiratory sinus arrhythmia) to moderate the relative impact of each treatment arm. These findings have implications for improving a match between individuals and intervention formats.
The final paper presents data from 152 seventh graders participating in group Coping Power, and examines self-reported youth engagement in relation to patterns of heart rate and heart rate variability. Both full session metrics and time series data within sessions are examined. Findings suggest that whether and how heart rate data serves as an indicator of engagement requires a consideration of the hypothesized impact of individual session components.
Common themes and findings related to conceptualization, measurement, and modeling of these complex data structures will be highlighted by a senior prevention scientist with expertise in small sample designs and physiological data. Areas for future research and implications for leveraging this form of big data in preventive interventions will be discussed.