Related Experiment Video
Updated: Jun 29, 2025
05:51
Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
Published on: February 21, 2025
441
Visually assessing work performance using a smartwatch via day-to-day fluctuations in heart rate variability
Hiroki Okawara1, Yasuyuki Shiraishi2,3, Kazuki Sato3
1Department Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Digital Health
|March 27, 2024
Summary
Daily smartwatch heart rate variability (HRV) monitoring effectively quantifies anxiety and presenteeism in office workers. This method optimizes workplace health promotion by tracking HRV dispersion, a key indicator of high-trait anxiety and productivity loss.
Area of Science:
- Occupational Health
- Psychophysiology
- Biomedical Engineering
Background:
- Workplace health promotion requires accurate, simple methods to quantify stress and its impact on productivity.
- Allostatic load, a measure of chronic stress, is difficult to quantify objectively in daily work environments.
- Heart Rate Variability (HRV) offers a potential objective measure of physiological stress response.
Purpose of the Study:
- To assess the feasibility of using daily smartwatch-measured ultra-short heart rate variability (HRV) to monitor anxiety and presenteeism.
- To determine if HRV parameters can differentiate between individuals with high and low trait anxiety.
- To explore the relationship between HRV metrics and self-reported work limitations.
Main Methods:
- 279 office workers without diagnosed diseases performed daily 30-second HRV self-measurements for two months.
- Participants completed the State-Trait Anxiety Inventory (STAI) and Work Limitation Questionnaire (WLQ).
- Logistic regression analyzed daily HRV parameters (mean and variance) in relation to high-trait anxiety (HTA) and WLQ scores, controlling for age, gender, and BMI.
Main Results:
- High-trait anxiety (HTA) individuals exhibited significant differences in mean and variance of specific HRV parameters (LnccvHF, Lnccv L/H) compared to low-trait anxiety groups.
- The variance of Lnccv L/H and mean Lnccv L/H were independent predictors of HTA, alongside BMI.
- A lower WLQ productivity loss score was observed in the group with higher daily Lnccv L/H dispersion.
Conclusions:
- Daily ultra-short HRV monitoring via smartwatch is a feasible and simple method for quantifying anxiety and presenteeism in the workplace.
- HRV dispersion status, particularly of Lnccv L/H, serves as a valuable indicator for optimizing workplace health monitoring.
- This approach enables quantitative assessment of anxiety and productivity, supporting targeted health interventions.
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