Cargando…
The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study
BACKGROUND: Digital data on physical activity are useful for self-monitoring and preventing depression and anxiety. Although previous studies have reported machine or deep learning models that use physical activity for passive monitoring of depression and anxiety, there are no models for workers. Th...
Autores principales: | Watanabe, Kazuhiro, Tsutsumi, Akizumi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752468/ https://www.ncbi.nlm.nih.gov/pubmed/36449342 http://dx.doi.org/10.2196/40339 |
Ejemplares similares
-
mHealth Intervention to Promote Physical Activity Among Employees Using a Deep Learning Model for Passive Monitoring of Depression and Anxiety: Single-Arm Feasibility Trial
por: Watanabe, Kazuhiro, et al.
Publicado: (2023) -
The Economic Impact of Loss of Performance Due to Absenteeism and
Presenteeism Caused by Depressive Symptoms and Comorbid Health Conditions among Japanese
Workers
por: WADA, Koji, et al.
Publicado: (2013) -
Which autistic traits are related to depressive symptoms in Japanese
workers?
por: SUZUKI, Tomoko, et al.
Publicado: (2020) -
The Mediating and Moderating Effects of Workplace Social Capital on the
Associations between Adverse Work Characteristics and Psychological Distress among
Japanese Workers
por: OSHIO, Takashi, et al.
Publicado: (2014) -
Pokémon GO and psychological distress, physical complaints, and work performance among adult workers: a retrospective cohort study
por: Watanabe, Kazuhiro, et al.
Publicado: (2017)