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Related Concept Videos

Stress Prevention and Stress Management Techniques VI01:30

Stress Prevention and Stress Management Techniques VI

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Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
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Stress Prevention and Stress Management Techniques IV01:26

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Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
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Related Experiment Video

Updated: Sep 19, 2025

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
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Personalizing mHealth Interventions for Occupational Stress: Protocol for a Randomized Pilot Study.

Beatrix Kunas1, Oliver Jung2, Christoph Schranz2

  • 1Department of Psychology, Paris-Lodron University Salzburg, Salzburg, Austria.

JMIR Research Protocols
|June 3, 2025
PubMed
Summary

This study evaluates the "Relax" app-wearable system for occupational stress reduction. Personalized interventions using artificial intelligence and wearable sensors show promise for advanced mobile health solutions.

Keywords:
artificial intelligencejust-in-time adaptive interventionmHealthmultilevel diagnosticsoccupational stresspersonalized apps

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Area of Science:

  • Digital Health
  • Occupational Health
  • Human-Computer Interaction

Background:

  • Occupational stress negatively impacts employee well-being and productivity.
  • Mobile health (mHealth) offers solutions, but personalization and multilevel diagnostics are underexplored.
  • The
  • Relax
  • approach integrates app-based stress monitoring with wearable sensors for personalized interventions.

Purpose of the Study:

  • To evaluate the effectiveness of the
  • Relax
  • app-wearable system in reducing occupational stress.
  • To assess the usability of the personalized mHealth intervention.

Main Methods:

  • A 2-arm randomized trial with two 3-week intervention phases.
  • Participants used an app for daily stress recording and wore a sensor for heart rate variability (HRV) monitoring.
  • Interventions were personalized using AI algorithms that adapted to user data, with varying personalization degrees in the second phase.

Main Results:

  • The study enrolled 46 participants and was conducted in spring/summer 2024.
  • Data collection is complete, and the study is ready for analysis.
  • The
  • Relax
  • approach incorporates novel personalization factors for mHealth.

Conclusions:

  • The
  • Relax
  • approach offers new insights into advanced, personalized mHealth solutions for occupational stress.
  • Future research should address study limitations, including the lack of a control group and sample representativity.