Predicting stress in first-year college students using sleep data from wearable devices.
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| Title: | Predicting stress in first-year college students using sleep data from wearable devices. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38602898 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting stress in first-year college students using sleep data from wearable devices. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bloomfield+LSP%22">Bloomfield LSP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Fudolig+MI%22">Fudolig MI</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.<br /><searchLink fieldCode="AU" term="%22Llorin+J%22">Llorin J</searchLink>; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.<br /><searchLink fieldCode="AU" term="%22Lovato+JL%22">Lovato JL</searchLink>; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.<br /><searchLink fieldCode="AU" term="%22McGinnis+EW%22">McGinnis EW</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22McGinnis+RS%22">McGinnis RS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Price+M%22">Price M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ricketts+TH%22">Ricketts TH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Dodds+PS%22">Dodds PS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Stanton+K%22">Stanton K</searchLink>; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.<br /><searchLink fieldCode="AU" term="%22Danforth+CM%22">Danforth CM</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918335064206676%22">PLOS digital health</searchLink> [PLOS Digit Health] 2024 Apr 11; Vol. 3 (4), pp. e0000473. <i>Date of Electronic Publication: </i>2024 Apr 11 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22PLOS%22">PLOS </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918335064206676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2767-3170 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227673170%22">27673170 </searchLink><i>NLM ISO Abbreviation: </i>PLOS Digit Health <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38602898 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pdig.0000473 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0000473 Titles: – TitleFull: Predicting stress in first-year college students using sleep data from wearable devices. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bloomfield LSP – PersonEntity: Name: NameFull: Fudolig MI – PersonEntity: Name: NameFull: Kim J – PersonEntity: Name: NameFull: Llorin J – PersonEntity: Name: NameFull: Lovato JL – PersonEntity: Name: NameFull: McGinnis EW – PersonEntity: Name: NameFull: McGinnis RS – PersonEntity: Name: NameFull: Price M – PersonEntity: Name: NameFull: Ricketts TH – PersonEntity: Name: NameFull: Dodds PS – PersonEntity: Name: NameFull: Stanton K – PersonEntity: Name: NameFull: Danforth CM IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 04 Text: 2024 Apr 11 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2767-3170 Numbering: – Type: volume Value: 3 – Type: issue Value: 4 Titles: – TitleFull: PLOS digital health Type: main |
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