# Wearable devices and ecological momentary assessment EMA in the workplace: A study protocol on work stress assessment

**Authors:** Giuseppina Dell’Aversana, Margherita Herold, Silvia Simbula, Isabella Ruina, Margherita Pillan, Massimo Miglioretti

PMC · DOI: 10.1371/journal.pone.0339288 · PLOS One · 2026-01-23

## TL;DR

This study explores using wearable devices and real-time assessments to better understand and measure work-related stress in real-world settings.

## Contribution

The study introduces a participatory protocol combining wearable devices and EMA for dynamic, context-sensitive work stress assessment.

## Key findings

- Combining EMA and wearable data allows continuous tracking of stress responses during work.
- Participatory design improves the acceptability and feasibility of stress assessment tools in workplaces.

## Abstract

Work-related stress (WRS) remains a significant concern in occupational health. Despite its significance, measuring WRS presents methodological challenges. Advancements in real-time data collection methods offer new opportunities to enhance the accuracy of WRS assessment. This study proposes an innovative, participatory protocol for assessing WRS. The approach integrates subjective self-reported measures, collected through ecological momentary assessment (EMA), and physiological monitoring via wearable smartwatches. By combining time-contingent and event-contingent sampling, the methodology enables continuous tracking of stress responses throughout the workday, providing a more dynamic and context-sensitive understanding of workplace stress. A key objective of this research is to evaluate the feasibility and acceptability of implementing this protocol in real-world organizational settings. By incorporating participatory design principles, the methodology actively involves workers in the assessment process, ensuring that the tools and procedures are both effective and user-friendly. This participatory approach fosters engagement and compliance, ultimately improving the quality of collected data. This study contributes to developing more robust and ecologically valid stress assessment methods. Integrating real-time monitoring with self-reported data represents a promising direction for occupational health research, paving the way for more targeted and evidence-based interventions to mitigate workplace stress.

## Full-text entities

- **Diseases:** musculoskeletal disorders (MESH:D009140), difficulty falling asleep (MESH:C537863), musculoskeletal pain (MESH:D059352), impaired perception, and forgetfulness (MESH:C535473), Anxiety (MESH:D001007), Insomnia (MESH:D007319), cardiovascular disease (MESH:D002318), reduced attention (MESH:D001523), hyperventilation (MESH:D006985), Burnout (MESH:D002055), WRS (MESH:D000073397), mental health disorders (OMIM:603663), back problems (MESH:D019567), depression (MESH:D003866)
- **Chemicals:** adrenaline (MESH:D004837), noradrenaline (MESH:D009638), glucose (MESH:D005947), steroid hormones (MESH:D013256), cholesterol (MESH:D002784), uric acid (MESH:D014527), catecholamines (MESH:D002395), cortisol (MESH:D006854), caffeine (MESH:D002110)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

80 references — full list in the complete paper: https://tomesphere.com/paper/PMC12829866/full.md

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Source: https://tomesphere.com/paper/PMC12829866