Predicting stress in first-year college students using sleep data from wearable devices.
Saved in:
| Title: | Predicting stress in first-year college students using sleep data from wearable devices. |
|---|---|
| Authors: | Bloomfield LSP; Gund Institute for Environment, University of Vermont, Burlington, Vermont, United States of America.; Department of Mathematics & Statistics, University of Vermont, Burlington, Vermont, United States of America.; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America., Fudolig MI; Department of Mathematics & Statistics, University of Vermont, Burlington, Vermont, United States of America.; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America., Kim J; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America., Llorin J; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America., Lovato JL; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America., McGinnis EW; Department of Social Science and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America.; Center for Remote Patient and Participant Monitoring, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America., McGinnis RS; Center for Remote Patient and Participant Monitoring, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America.; Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America., Price M; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.; Department of Psychological Science, University of Vermont, Burlington, Vermont, United States of America., Ricketts TH; Gund Institute for Environment, University of Vermont, Burlington, Vermont, United States of America.; Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont, United States of America., Dodds PS; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.; Department of Computer Science, University of Vermont, Burlington, Vermont, United States of America., Stanton K; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America., Danforth CM; Gund Institute for Environment, University of Vermont, Burlington, Vermont, United States of America.; Department of Mathematics & Statistics, University of Vermont, Burlington, Vermont, United States of America.; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America. |
| Source: | PLOS digital health [PLOS Digit Health] 2024 Apr 11; Vol. 3 (4), pp. e0000473. Date of Electronic Publication: 2024 Apr 11 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
