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-prandial responses, glucose homeostasis and insulin sensitivity ( 10 , 11 , 12 ). The SCN clock can synchronise peripheral clocks via a combination of neuronal, endocrine and behavioural pathways (e.g. the overt daily sleep–wake and feed–fast cycles) ( 13 ). Of
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, and sleep disorders were also included. Detailed measurement processes of these variables are publicly available at www.cdc.gov/nchs/nhanes/ . Statistical analysis In descriptive analysis, data description and statistical analysis were based
Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK
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Oxford Liver Unit, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, UK
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NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
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NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
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.87 (74.65) Sleep duration (h) 7.05 (1.02) 6.92 (1.22) 6.69 (1.48) Chronotype (%) Morning 23.37 24.5 19.39 Intermediate 58.76 56.04 49.65 Evening 7.97 8.66 16.87 Ethnicity
Comprehensive Heart Failure Center, University & University Hospital Würzburg, Würzburg, Germany
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Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital, University of Würzburg, Würzburg, Germany
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Division of Cardiology, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
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Department of General, Visceral, Transplant, Vascular, and Pediatric Surgery, University Hospital, University of Würzburg, Würzburg, Germany
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Division of Cardiology, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
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Division of Cardiology, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
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Comprehensive Heart Failure Center, University & University Hospital Würzburg, Würzburg, Germany
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. documentation of concomitant drugs) Open and standardized questions Obesity-related comorbidities Comprehensive laboratory assessment Blood analysis a For example, adverse events and comorbidities Obstructive sleep apnea screening Apnea
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Cambridge University Hospitals NHS Foundation Trust, Wolfson Diabetes and Endocrine Clinic, Cambridge, UK
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/L and no autocorrections Ease-off mode: target 7 mmol/L, less insulin delivery ~−35% Sleep Activity: target 6.25–6.7 mmol/L basal rate modulation only; Activity mode: target +3.8 mmol/L and less aggressive algorithm Activity mode: target 8.3 mmol
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University Clinic of Medicine, Cantonal Hospital Baselland, Liestal, Switzerland
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Weibel L Follenius M Spiegel K Ehrhart J & Brandenberger G . Comparative effect of night and daytime sleep on the 24-hour cortisol secretory profile . Sleep 1995 18 549 – 556 . 14 Wilhelm I Born J Kudielka BM Schlotz W & Wust S
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), users have suggested that alarms can evoke strong negative emotional responses in people (e.g. anger, frustration, and panic) ( 25 ) or feelings of failure in not achieving target glucose levels ( 23 ). They can also contribute to sleep disruptions ( 15
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Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
PhD Program in Toxicology, Kaohsiung Medical University, Kaohsiung, Taiwan
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Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
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participants were asked to recall the amount of time per day for each of five levels of activity in a representative day within the past two weeks. The five levels of activity were basal (sleeping or lying down), sedentary (sitting or standing), slight (e
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the wearer is in a position in which the CGM and nearby local tissue get compressed, often during sleep ( 44 ). Device compression can result in a falsely low reading, and when the device is linked to an alarm for severe hypoglycemia, the sleeping
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-up easier for people with diabetes and their HCPs. Integration with other types of data like sleep length and quality, nutrition, physical activity and screen time could also be helpful, along with using artificial intelligence to make personalized