Impaired Rest-Activity Rhythm Characteristics Predict Higher Risk of Incident Type 2 Diabetes in UK Biobank Participants.
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| Title: | Impaired Rest-Activity Rhythm Characteristics Predict Higher Risk of Incident Type 2 Diabetes in UK Biobank Participants. |
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| Authors: | Yeung CHC; Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX., Wright AK; Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, U.K.; Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, U.K., Windred DP; Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, South Australia, Australia., Burns AC; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA.; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA., Phillips AJK; Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, South Australia, Australia., Cain SW; Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, South Australia, Australia., Rutter MK; Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, U.K.; Diabetes, Endocrinology and Metabolism Centre, Manchester Academic Health Sciences Centre, Manchester University National Health Service Foundation Trust, Manchester, U.K., Xiao Q; Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX.; Center for Spatial-Temporal Modeling for Applications in Population Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX. |
| Source: | Diabetes care [Diabetes Care] 2025 Aug 01; Vol. 48 (8), pp. 1425-1433. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Diabetes Association Country of Publication: United States NLM ID: 7805975 Publication Model: Print Cited Medium: Internet ISSN: 1935-5548 (Electronic) Linking ISSN: 01495992 NLM ISO Abbreviation: Diabetes Care Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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