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Stress among Portuguese Medical Students: the EuStress Solution

  • Mobile & Wireless Health
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Abstract

There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this paper, we introduce the EuStress Solution, that aims to create an Information System to monitor and assess, continuously and in real-time, the stress levels of the students in order to predict burnout. The Information System will use a measuring instrument based on wearable device and machine learning techniques to collect and process stress-related data from the students without their explicit interaction. In the present study, we focus on heart rate and heart rate variability indices, by comparing baseline and stress condition. We performed different statistical tests in order to develop a complex and intelligent model. Results showed the neural network had the better model fit.

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Acknowledgements

This work was supported by the Portuguese Foundation for Science and Technology within NUP=NORTE-01-0247-FEDER-017832 (EUSTRESS Project) and by the QVida+ Project (FEDER-003446, supported by Norte Portugal Regional Operational Programme, under the PORTUGAL 2020 Partnership Agreement). The authors also acknowledge to the LIACC, ALGORITMI and Litec.

Funding

This work was supported by the Portuguese Foundation for Science and Technology within NUP=NORTE-01-0247-FEDER-017832 (EUSTRESS Project) and by the QVida+ Project (FEDER-003446, supported by Norte Portugal Regional Operational Programme, under the PORTUGAL 2020 Partnership Agreement).

Author information

Authors and Affiliations

  1. ALGORITMI Center, School of Engineering - University of Minho, Guimarães, Portugal

    Eliana Silva, Joyce Aguiar & Jorge Oliveira e Sá

  2. LIACC Artificial Intelligence and Computer Science Laboratory, Faculty of Engineering, University of Porto, Porto, Portugal

    Luís Paulo Reis

  3. EST/IPCA – Technology School of Polytechnic Institute of Cávado and Ave, Barcelos, Portugal

    Joaquim Gonçalves

  4. Optimizer Lda, Porto, Portugal

    Joaquim Gonçalves & Victor Carvalho

Authors
  1. Eliana Silva
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  2. Joyce Aguiar
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  3. Luís Paulo Reis
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  4. Jorge Oliveira e Sá
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  5. Joaquim Gonçalves
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  6. Victor Carvalho
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Corresponding author

Correspondence to Joyce Aguiar.

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Authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Silva, E., Aguiar, J., Reis, L.P. et al. Stress among Portuguese Medical Students: the EuStress Solution. J Med Syst 44, 45 (2020). https://doi.org/10.1007/s10916-019-1520-1

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