Daily stress plays a critical role in shaping human health and well-being, yet its dynamic nature requires advanced analytical approaches for comprehensive understanding. This presentation leverages data from the National Study of Daily Experiences (NSDE), a multi-wave, nationally representative diary study, to examine the temporal patterns of stressor exposure, reactivity, and health consequences across nearly three decades. Using a three-level structural equation modeling approach, we quantify within-person variability in stress reactivity and explore how changes in these associations over time predict critical outcomes.
The presentation will underscore the complexity of stress processes beyond simple linear slopes, highlighting the role of stressor diversity, resolution, and control in shaping emotional, behavioral, and biological responses. This computational phenotyping approach offers new insights into stress adaptation and resilience. In order for this goal to be realized we need eager and innovative methodologists.
