Abstract
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) were measured 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
wrist-worn activity monitor: ? = ?0.22, p < 0.001, and
variance of nightly bedroom illumination: ? = 0.13, p <
0.001). Strong, but sometimes conflicting correlations
can be found at individual level, suggesting individual
reactions to stress in daily life.
Original language | English |
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Pages (from-to) | 141-151 |
Journal | IEEE Transactions on Information Technology in Biomedicine |
Volume | 13 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2009 |
MoE publication type | A1 Journal article-refereed |
Keywords
- actigraph
- behavior
- heart rate (HR)
- psychological and physiological variables
- sleep
- stress
- wellness monitoring