Association between sleep and physical activity data, and depressive symptoms in Thai elderly
There is a potential to apply passive sensing data in mental health issues in Thailand. However, more evidence is needed to ensure the accuracy of sensor detection and appropriate algorithm to predict depression. Moreover, the implication of passive sensing data from smart devices supporting public health policy should be explored.
Authors
- Orratai Waleewong (ORCID: https://orcid.org/0000-0002-6596-6901)
- Nisachol Cetthakrikul (ORCID: https://orcid.org/0000-0001-9238-9583)
- Hathairat Kosiyaporn (ORCID: https://orcid.org/0000-0002-7203-8089)
- Sopit Nasueb
- Rujira Adhibai
- Yanisa Pumsutas (ORCID: https://orcid.org/0000-0002-7298-0760)
- Jiranun Thiphong
- Patjirapohn Suosot
- Supika Cheujew
- Kamolphat Makchang
Institutions
- Ministry of Public Health (TH)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1371/journal.pone.0329978
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- World Health Organization