Adolescent stress is complex and impairing. Novel measures are needed to understand stress variability within individuals over time from a physiological as well as a subjective perspective. To test the feasibility of combining ecological momentary assessment (EMA) and wearable biosensors to assess adolescent stress, using an idiographic approach with experience sampling methods. A small sample (n = 23) of predominantly African American, economically disadvantaged adolescents were asked to complete EMA surveys four times per day and wear an armband measuring Heart rate (HR) and skin response for a 2-week period. Descriptive analyses examined number of hours of armband wear, percentage of viable data, and percentage of surveys completed by gender and race. Associations between biosensor data and EMA reports within and across individuals were also examined using hierarchical linear regression. EMA survey completion was good (81%) as was adherence to biosensor protocols, although technological difficulties interfered with collection of HR variability for youth with darker skin tones. Youth reported stressful events in 12.79% of EMA surveys, although 43% reported no negative mood experiences. Convergent validity was supported for detecting between-person (EMA) and within-person (EMA and biosensors) variability in stress across time, although associations across youth were highly variable. Results suggest value for biobehavioral methods in understanding day-to-day stress in adolescents but highlight variability in stress experiences as well as technological limitations, especially for youth of colour.
Feasibility of combining biosensor and ecological momentary assessment to measure stress experiences among economically disadvantaged adolescents
Murray, D. W., Ridenour, T. A., Swingler, M. M., Morgan, A., & Hegarty-Craver, M. (2022). Feasibility of combining biosensor and ecological momentary assessment to measure stress experiences among economically disadvantaged adolescents. Stress and Health. https://doi.org/10.1002/smi.3211
Abstract
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