Clinical Trial Details
— Status: Active, not recruiting
Administrative data
NCT number |
NCT05317793 |
Other study ID # |
R21149 |
Secondary ID |
|
Status |
Active, not recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
March 28, 2022 |
Est. completion date |
December 31, 2024 |
Study information
Verified date |
April 2024 |
Source |
Tampere University Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The study investigates the associations of ambulatory electrodermal activity (EDA)
measurements with mental well-being at work, especially job burnout. Appropriate statistical
methods are applied to predict burnout with EDA measurements combined with self-report
surveys on emotional valence.
Description:
The aim of the study is to complement burnout research by considering ambulatory
electrodermal activity (EDA) measurements as part of the identification and definition of the
burnout phenomenon. Previous studies have shown that assessment methods for the physiological
identification of burnout do not yet exist and that more information on the physiological
markers of burnout is needed. The study also complements the understanding of how and in what
cases ambulatory measurements of EDA can be justified, for example, as an occupational health
care tool.
The study investigates the association between ambulatory EDA measurements and mental
well-being, especially job burnout, and the potential of the measurements in supporting
better mental health at work. According to research the EDA measurements alone do not always
provide sufficient information and often context related information is needed to improve the
interpretation of the measurement. Therefore, the EDA measurements are complemented with the
self-reported emotional valence.
The state of mental well-being is defined using Peter Warr's model of affective well-being.
The model proposes that two dimensions of emotion, arousal and emotional valence, together
can provide information / be used to describe one's affective well-being at work. The model
is further based on the circumplex model of affect.
Previous studies of EDA have shown that the measurement method has a potential role in
assisting the diagnosis of some mental disorders, such as anxiety and depression. However,
the measurements have been largely tied to laboratory settings and have not been able to be
utilized in everyday life. The development of health and well-being technology has brought to
the market methods for measuring the electrical conductivity of the skin, which are suitable
for ambulatory measurements, but whose suitability must be critically assessed.
Within this study it is hypothesized that the average variation of the sympathetic nervous
system activity measured with EDA and combined with a self-reported emotional valence is
associated with mental well-being at work, as burnout measured with the Burnout Assessment
Tool (BAT-12), anxiety measured with Generalized Anxiety Disorder (GAD-7) Scale, depression
measured with Beck Depression Inventory (BDI-21), and job engagement measured with Utrecht
Work Engagement Scale (UWES-9).
The study is longitudinal, consisting of four measurement periods at six-month interval. One
measurement period of EDA and valence is two weeks. EDA and emotional valence are recorded
with a commercially available Moodmetric smart ring and Moodmetric mobile app. EDA is
measured with using the Moodmetric index which is calculated from the EDA raw signal produced
by the Moodmetric smart ring. EDA and valence measurements are then compared with BAT-12,
GAD-7, BDI-21, UWES-9 that measure burnout, anxiety, depression, and job engagement
respectively. The survey data (BAT-12, GAD-7, BDI-21, and UWES-9) is gathered after every
two-week measurement period is over. 150 voluntary knowledge workers from three Finnish
companies are invited to participate in the study.