Multidimensional sleep health is not cross-sectionally or longitudinally associated with adiposity in the Study of Women's Health Across the Nation (SWAN).

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Bibliographic Details
Title: Multidimensional sleep health is not cross-sectionally or longitudinally associated with adiposity in the Study of Women's Health Across the Nation (SWAN).
Authors: Bowman MA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA., Brindle RC; Department of Cognitive and Behavioral Science & Neuroscience Program, Washington and Lee University, Lexington, VA, USA., Joffe H; Connors Center for Women's Health and Gender Biology and the Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Kline CE; Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA, USA., Buysse DJ; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA., Appelhans BM; Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA., Kravitz HM; Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA; Department of Psychiatry, Rush University Medical Center, Chicago, IL, USA., Matthews KA; Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA, USA., Neal-Perry GS; Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Krafty RT; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA., Hall MH; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: hallmh@upmc.edu.
Source: Sleep health [Sleep Health] 2020 Dec; Vol. 6 (6), pp. 790-796. Date of Electronic Publication: 2020 Jul 15.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101656808 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-7226 (Electronic) Linking ISSN: 23527218 NLM ISO Abbreviation: Sleep Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2352-7226
DOI:10.1016/j.sleh.2020.04.014