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Online Stress Management for Self- and Group-Reflections on Stress Patterns
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: Biomedical Engineering Systems and Technologies: 9th International Joint Conference, BIOSTEC 2016, Rome, Italy, February 21–23, 2016, Revised Selected Papers / [ed] Ana Fred, Hugo Gamboa, Springer, 2017, no 690, p. 387-404Chapter in book (Refereed)
Abstract [en]

In today’s society, many people suffer from unhealthy levels of stress. A result of being exposed to a lot of stressors for a longer period of time, and showing strong stress reactions to these, is decreased wellbeing and eventually sick leaves. To intervene at an early stage is therefore important. However, learning about one’s stress reactions and struggling for empowerment can be a challenge. Different types of applications for self-help are available on the Internet, but the ones for stress management are still in their early phase. In this article, we emphasize the social aspects of stress management. We present an artifact designed for analyzing and reflecting upon stress patterns, through both self- and group-reflections. This artifact is a result of further research work towards an integrated holistic stress management platform. The holistic platform includes a mobile application for storing data about events that cause stress reactions and a web-based system in which different actors and functions can complement each other, through self-help exercises, evidence-based information and learning through interaction with peers and experts. The research is based on traditional system development methods and interdisciplinary research in the area of e-health.

Place, publisher, year, edition, pages
Springer, 2017. no 690, p. 387-404
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 690
Keyword [en]
Online self-help, Online stress management, Preventive care, Self-reflection, Stress patterns, Social support
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-149429DOI: 10.1007/978-3-319-54717-6_21ISBN: 978-3-319-54716-9 (print)OAI: oai:DiVA.org:su-149429DiVA, id: diva2:1161597
Available from: 2017-11-30 Created: 2017-11-30 Last updated: 2018-02-07Bibliographically approved

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CiteExportLink to record
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  • apa
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