Mobile Diary for Wellness Management—Results on Usage and Usability in Two User Studies
IEEE Transactions on Information Technology in Biomedicine
GPC'11 Proceedings of the 6th international conference on Grid and Pervasive Computing
A decision-making mechanism for context inference in pervasive healthcare environments
Decision Support Systems
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Individual wellness comprises both psychological and physiological wellbeing, which are interrelated. In long-term monitoring of wellness, both components should be included. Work-related stress and burnout are persistent problems in industrial countries. Early identification of work-related stress symptoms and early intervention could reduce individual suffering and improve the working productivity and creativity. The goal of this study was to explore the relationship between physiological and psychological variables measured at home by the users themselves or automatically. In all, 17 (3 males and 14 females, age 40-62) people participating in a work ability rehabilitation program (due to work overload) were monitored for three months. Physiological and behavioral variables (activity, bed occupancy, heart rate (HR) and respiration during night,HR during day, blood pressure, steps, weight, room illumination, and temperature) weremeasured with different unobtrusive wireless sensors. Daily self-assessment of stress, mood, and behaviors (exercise, sleep) were collected using a mobile phone diary. The daily self-assessment of stress and the Derogatis stress profile questionnaire were used as reference for stress status. Results show modest, but significant pooled overall correlations between self-assessed stress level, and physiological and behavioral variables (e.g., sleep length measured with wristworn activity monitor: ρ = -0.22, p p