A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults

Stress plays a significant role in energy regulation and mental health. However, the dynamics of long-term stress patterns in daily life and the influence of stress valence on chronic stress and psychological health remain insufficiently understood. Wearable sensors offer an unobtrusive way to measure individual stress responses in daily life by enabling continuous, long-term recording of physiological signals in naturalistic settings, thereby providing a quantitative basis for understanding and assessing stress and its valence over time. To this end, we present a dataset collected from 31 participants in a six-week longitudinal study of stress conducted in a naturalistic setting. Data were acquired using the RELAX mobile-health app that provides just-in-time adaptive interventions (JITAIs) to support occupational stress management. The dataset includes both objective measurements acquired from wearable sensors and subjective self-reported stress assessments. Physiological measures comprise continuously recorded interbeat intervals (IBIs) and accelerometer (ACC) signals sampled at 52 Hz, while subjective stress data were assessed multiple times per day in addition to morning and evening questionnaires.