Routine daily physical activity and glucose variations are strongly coupled in adults with T1DM

Farabi, Sarah S.; Carley, David W.; Çınar, Ali; Quinn, Lauretta

doi:10.14814/phy2.12644

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…The fluctuations in the glucose level and OSA features after sleep onset can be decomposed into different frequency components, and the time-varying coherence between the two signals can be calculated at each underlying frequency. Previous studies showed dynamic coupling between CGM data and physical activity 15 or electroencephalogram (EEG) power 16 during sleep in patients with type 1 diabetes mellitus using wavelet coherence analysis.…”

Section: Introductionmentioning

confidence: 99%

Dynamic changes in nocturnal blood glucose levels are associated with sleep-related features in patients with obstructive sleep apnea

Byun

Jun

et al. 2020

Sci Rep

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Obstructive sleep apnea (OSA) has a bidirectional relationship with insulin resistance conditions; however, the mechanism remains unclear. This study aimed to compare dynamic nocturnal glucose changes among patients with OSA of varying levels of severity and evaluate temporal changes associated with the cardinal features of OSA (sympathetic hyperactivation, intermittent hypoxemia, and sleep fragmentation) in nondiabetic subjects. Nocturnal glucose was measured with a continuous glucose monitoring device every 5 min during polysomnography (PSG). The OSA features were evaluated using heart rate variability (HRV), minimum saturation, and electroencephalography. Eleven subjects with moderate to severe OSA and 12 subjects with no or mild OSA were evaluated. Those with moderate to severe OSA showed an increasing trend in blood glucose levels after sleep onset, whereas those without or with mild OSA showed a decreasing trend (F = 8.933, p < 0.001). Delta band power also showed different trends during sleep between the two groups (F = 2.991, p = 0.009), and minimum saturation remained lower in the moderate to severe OSA group than in the no or mild OSA group. High degrees of coupling between nocturnal glucose levels and each OSA feature were observed. Altered trends in nocturnal glucose in moderate to severe OSA may reflect glucose intolerance and result in metabolic consequences. Managing the features of sleep-related OSA may have implications for metabolic management in the future.

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Section: Introductionmentioning

confidence: 99%

Dynamic changes in nocturnal blood glucose levels are associated with sleep-related features in patients with obstructive sleep apnea

Byun

Jun

et al. 2020

Sci Rep

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“…This is the first study to use a tool that can be used to classify exercise as anaerobic, anaerobic or mixed. This may help a number of groups who are currently working on AP development for exercise (25,26,27).…”

Section: Commentmentioning

confidence: 99%

Advances in Exercise, Physical Activity, and Diabetes Mellitus

Pasieka

Riddell

2017

Diabetes Technology & Therapeutics

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I n 2015/2016, a number of papers were published on the challenges of exercise management for patients living with diabetes. A big focus was on testing how the artificial pancreas might function during exercise, with or without activity announcements and the addition of glucagon. Moreover, several papers revealed barriers to exercise participation for people living with type 1 or type 2 diabetes. A few papers demonstrated that many of the tools for the preservation of glucose control during and after exercise in type 1 diabetes are not being used. This year, we selected 10 papers to highlight the field of exercise and diabetes, with an emphasis on ''technology'' rather than on the possible mechanisms for exercise action. Our initial search was restricted to human studies and primarily on studies in which patients with diabetes severed as subject participants. We screened over 150 papers on the topic that were found on Pubmed and other common search engines published between July 1, 2015 and June 30, 2016. The following 10 papers, we think, represent some of the highlights.

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“…In people with type 1 diabetes, slow-pace walking after a meal improves postprandial glucose excursions when observed in controlled study environment (Manohar et al, 2012). Routine daily PAs of everyday life seem to be coupled with glucose variations in type 1 diabetes (Farabi et al, 2015). Recent study has successfully provided quantitative information on correlation between mild PA and short-term glucose dynamics in type 1 diabetes (Zecchin et al, 2013), that could be used in future models to improve glucose management with combination of advanced sensor technologies (Ding and Schumacher, 2016).…”

Section: Introductionmentioning

confidence: 99%

Different Types of Physical Activity and Metabolic Control in People With Type 1 Diabetes Mellitus

et al. 2019

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BackgroundThe aim of presented cross-sectional study was to determine the association of different types of physical activity (PA) with metabolic control in people with type 1 diabetes.Materials and MethodsA total of 109 adult subjects with type 1 diabetes were asked to complete the non-exercise activity thermogenesis (NEAT) questionnaire, the hypoglycemia questionnaire, and the World Health Organization Global PA Questionnaire (GPAQ) which was used to assess moderate PA (MPA) and vigorous PA (VPA).ResultsNEAT score (p < 0.001) and total duration of work as assessed with GPAQ (p = 0.007) were positively associated with chronic glycemic control when controlled for sex, BMI, and continuous glucose monitoring system (CGMS) use. We could not confirm such association with total leisure time PA (LTPA) assessed with GPAQ (p = 0.443), though. Multivariate regression model controlled for sex showed positive effects of HbA1c (p = 0.011) and age (p = 0.035), and negative effect of NEAT score (p = 0.001) on BMI. Systolic blood pressure was positively associated with duration of MPA (p = 0.009) and VPA (p = 0.012), but not with NEAT score (p = 0.830) when controlled for sex and BMI. NEAT score and VPA were positively associated with HDL levels when controlled for sex and BMI. Controlled for sex and BMI, higher values of VPA were significantly associated with lower levels of total cholesterol (p = 0.009) and LDL (p = 0.005).ConclusionHigher levels of NEAT are associated with some favorable metabolic effects in adult people with type 1 diabetes, but may also present an additional burden for them with more challenging environment regarding glycemic control.

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Routine daily physical activity and glucose variations are strongly coupled in adults with T1DM

Cited by 3 publications

References 12 publications

Dynamic changes in nocturnal blood glucose levels are associated with sleep-related features in patients with obstructive sleep apnea

Dynamic changes in nocturnal blood glucose levels are associated with sleep-related features in patients with obstructive sleep apnea

Advances in Exercise, Physical Activity, and Diabetes Mellitus

Different Types of Physical Activity and Metabolic Control in People With Type 1 Diabetes Mellitus

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