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Updated: Aug 16, 2026

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
Published on: January 22, 2018
Psychophysiological effects of a web-based stress management system: a prospective, randomized controlled
Dan Hasson1, Ulla Maria Anderberg, Töres Theorell
1Uppsala University, Department of Public Health and Caring Sciences, Section for Social Medicine/CEOS, Uppsala Science Park, SE-751 85 Uppsala, Sweden. dan.hasson@pubcare.uu.se
Background:
The aim of the present study was to assess possible effects on mental and physical well-being and stress-related biological markers of a web-based health promotion tool.
Methods:
A randomized, prospectively controlled study was conducted with before and after measurements, involving 303 employees (187 men and 116 women, age 23-64) from four information technology and two media companies. Half of the participants were offered web-based health promotion and stress management training (intervention) lasting for six months. All other participants constituted the reference group. Different biological markers were measured to detect possible physiological changes.
Results:
After six months the intervention group had improved statistically significantly compared to the reference group on ratings of ability to manage stress, sleep quality, mental energy, concentration ability and social support. The anabolic hormone dehydroepiandosterone sulphate (DHEA-S) decreased significantly in the reference group as compared to unchanged levels in the intervention group. Neuropeptide Y (NPY) increased significantly in the intervention group compared to the reference group. Chromogranin A (CgA) decreased significantly in the intervention group as compared to the reference group. Tumour necrosis factor alpha (TNFalpha) decreased significantly in the reference group compared to the intervention group. Logistic regression analysis revealed that group (intervention vs. reference) remained a significant factor in five out of nine predictive models.
Conclusion:
The results indicate that an automatic web-based system might have short-term beneficial physiological and psychological effects and thus might be an opportunity in counteracting some clinically relevant and common stress and health issues of today.
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