Predicting stress in first-year college students using sleep data from wearable devices.

Saved in:
Bibliographic Details
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38602898
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1