[HTML][HTML] Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review

J Seppälä, I De Vita, T Jämsä, J Miettunen… - JMIR mental …, 2019 - mental.jmir.org
Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …

Effect of occupational stress and remote working on psychological well-being of employees: An empirical analysis during covid-19 pandemic concerning information …

KDV Prasad, RW Vaidya, MR Mangipudi - Indian Journal of Commerce and …, 2020 - ijcms.in
Purpose: In the aftermath of national lockdown due to Covid-19, several organizations were
forced to opt remote working, which provides several challenges and opportunities to the …

Identification of stress, anxiety, and depression levels of students in preparation for the exit exam competency test

SR Marsidi - Journal of Vocational Health Studies, 2021 - neliti.com
Background: Permendikbud No. 2 of 2020 regulates student competency test in the health
sector. The exit exam competency test is a requirement that must be met by students after …

Prevalence and determinants of perceived stress among undergraduate students in a Malaysian University

YF Jia, YT Loo - Journal of Health and Translational Medicine …, 2018 - ijie.um.edu.my
Introduction: Studying in a university can be stressful for any undergraduate student, and the
excessive stress is associated with physical and mental health problems. The purpose of the …

[PDF][PDF] Measuring intellectual and emotional health during COVID-19 pandemic: scale development and validation

P Joshi, A Singh, S Kumar, P Agarwal… - SCMS Journal of Indian …, 2022 - researchgate.net
In January 2020, the World Health Organization (WHO) declared a worldwide public health
emergency due to the health impacts caused by Coronavirus Disease (COVID-19). The …

Predicting office workers' productivity: a machine learning approach integrating physiological, behavioral, and psychological indicators

M Awada, B Becerik-Gerber, G Lucas, SC Roll - Sensors, 2023 - mdpi.com
This research pioneers the application of a machine learning framework to predict the
perceived productivity of office workers using physiological, behavioral, and psychological …

Stress appraisal in the workplace and its associations with productivity and mood: Insights from a multimodal machine learning analysis

M Awada, B Becerik Gerber, GM Lucas, SC Roll - Plos one, 2024 - journals.plos.org
Previous studies have primarily focused on predicting stress arousal, encompassing
physiological, behavioral, and psychological responses to stressors, while neglecting the …

A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress

M Awada, B Becerik-Gerber, G Lucas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Previous studies have solely focused on establishing Machine Learning (ML) models for
automated detection of stress arousal. However, these studies do not recognize stress …

Unplugging for Student Success: Examining the Benefits of Disconnecting from Technology during COVID-19 Education for Emergency Planning

S Hosseini, C Camacho, K Donjuan, L Pego… - Education …, 2023 - mdpi.com
The COVID-19 outbreak revealed the fragility not only of our species but also of society,
which has demonstrated its ability to adapt to challenging conditions and to learn from …

Relationships between mental toughness, eustress–distress, and mindfulness in adolescents: A network analysis and mediator model testing

S Yazıcı‐Kabadayı - Stress and Health, 2024 - Wiley Online Library
The main aim of this study was to investigate adolescents' eustress–distress and
mindfulness by examining mental toughness (MT) using network and mediator analyses …