Literature DB >> 34128443

Circadian characteristics of the rest-activity rhythm, executive function, and glucose fluctuations in young adults with type 1 diabetes.

Stephanie Griggs1, Kingman P Strohl2, Margaret Grey3, Eric Barbato4, Seunghee Margevicius5, Ronald L Hickman1.   

Abstract

Circadian alignment is an important element in individual health, and one behavioral marker, rest-activity rhythm, could influence self-management in young adults with type 1 diabetes (T1D). Little is known about the rest-activity rhythms, executive function, and glycemia among young adults with type 1 diabetes (T1D). The purpose of this study was to evaluate parametric and nonparametric circadian characteristics of the rest-activity rhythm and the associations between these variables, sleep-wake behavior, executive function, and glycemia among young adults with T1D. Young adults with T1D, recruited from diabetes clinics, wore wrist actigraphs and a continuous glucose monitor (CGM) concurrently for 6-14 days. Participants completed a 3-minute Trail Making Test on paper and electronic questionnaires - 8-item PROMIS v1.0 Emotional Distress Scale, 17-item Diabetes Distress Scale, including twice-daily Pittsburgh sleep diaries. Cosinor and nonparametric analyses were used to compute the rest-activity rhythm parameters, and linear regression modeling procedures were performed to determine the associations among the study variables. The sample included 46 young adults (mean age 22.3 ± 3.2; 32.6% male; 84.8% non-Hispanic White, HbA1c mean 7.2 ± 1.1%, BMI mean 27.0 ± 4.4 kg/m2). A number of parametric associations were observed between a stronger rhythm, better objective sleep-wake characteristics, and less daytime sleepiness. Nonparametric circadian parameters were significantly associated with several outcomes: a stronger rhythm adherence (higher inter-daily stability) with better objective sleep-wake characteristics, better executive function, lower diabetes distress, less hyperglycemia risk, and more time spent in hypoglycemia/hypoglycemia risk; and a more robust rhythm (higher relative amplitude) with better objective sleep-wake characteristics and more time spent in hypoglycemia/higher hypoglycemia risk. Future work should be directed at designs that test causality, such as interventions directed at the strength and stability of rest-activity rhythms, for the potential to improve glucoregulation and other diabetes outcomes.

Entities:  

Keywords:  Circadian rest-activity rhythm; actigraphy; cosinor analysis; diabetes self-management; sleep; type 1 diabetes; young adult

Mesh:

Substances:

Year:  2021        PMID: 34128443      PMCID: PMC8403141          DOI: 10.1080/07420528.2021.1932987

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   3.749


  55 in total

1.  Sleep regularity is associated with sleep-wake and circadian timing, and mediates daytime function in Delayed Sleep-Wake Phase Disorder.

Authors:  Jade M Murray; Andrew J K Phillips; Michelle Magee; Tracey L Sletten; Christopher Gordon; Nicole Lovato; Bei Bei; Delwyn J Bartlett; David J Kennaway; Leon C Lack; Ronald R Grunstein; Steven W Lockley; Shantha M W Rajaratnam
Journal:  Sleep Med       Date:  2019-03-23       Impact factor: 3.492

2.  Long-term melatonin administration reduces hyperinsulinemia and improves the altered fatty-acid compositions in type 2 diabetic rats via the restoration of Delta-5 desaturase activity.

Authors:  Shigeru Nishida; Toshiko Segawa; Ichiro Murai; Shigeki Nakagawa
Journal:  J Pineal Res       Date:  2002-01       Impact factor: 13.007

3.  Impact of sleep behavior on glycemic control in type 1 diabetes: the role of social jetlag.

Authors:  Sandra Larcher; Anne-Sophie Gauchez; Sandrine Lablanche; Jean-Louis Pépin; Pierre-Yves Benhamou; Anne-Laure Borel
Journal:  Eur J Endocrinol       Date:  2016-08-16       Impact factor: 6.664

4.  Human responses to bright light of different durations.

Authors:  Anne-Marie Chang; Nayantara Santhi; Melissa St Hilaire; Claude Gronfier; Dayna S Bradstreet; Jeanne F Duffy; Steven W Lockley; Richard E Kronauer; Charles A Czeisler
Journal:  J Physiol       Date:  2012-04-23       Impact factor: 5.182

5.  Fragmentation and stability of circadian activity rhythms predict mortality: the Rotterdam study.

Authors:  Lisette A Zuurbier; Annemarie I Luik; Albert Hofman; Oscar H Franco; Eus J W Van Someren; Henning Tiemeier
Journal:  Am J Epidemiol       Date:  2014-12-09       Impact factor: 4.897

6.  Partial sleep restriction decreases insulin sensitivity in type 1 diabetes.

Authors:  Esther Donga; Marieke van Dijk; J Gert van Dijk; Nienke R Biermasz; Gert-Jan Lammers; Klaas van Kralingen; Roel P L M Hoogma; Eleonora P M Corssmit; Johannes A Romijn
Journal:  Diabetes Care       Date:  2010-03-31       Impact factor: 17.152

Review 7.  Sleep and circadian rhythms: key components in the regulation of energy metabolism.

Authors:  Aaron D Laposky; Joseph Bass; Akira Kohsaka; Fred W Turek
Journal:  FEBS Lett       Date:  2007-08-14       Impact factor: 4.124

Review 8.  Circadian integration of metabolism and energetics.

Authors:  Joseph Bass; Joseph S Takahashi
Journal:  Science       Date:  2010-12-03       Impact factor: 47.728

9.  Circadian function in patients with advanced non-small-cell lung cancer.

Authors:  R D Levin; M A Daehler; J F Grutsch; J Quiton; C G Lis; C Peterson; D Gupta; K Watson; D Layer; S Huff-Adams; B Desai; P Sharma; M Wallam; M Delioukina; P Ball; M Bryant; M Ashford; D Copeland; M Ohmori; P A Wood; W J M Hrushesky
Journal:  Br J Cancer       Date:  2005-11-28       Impact factor: 7.640

10.  A nonparametric methodological analysis of rest-activity rhythm in type 2 diabetes.

Authors:  Paula Cavalcanti-Ferreira; Lee Berk; Noha Daher; Tania Campus; John Araujo; Jerrold Petrofsky; Everett Lohman
Journal:  Sleep Sci       Date:  2018 Jul-Aug
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