What question did this study set out to answer?

The study aims to evaluate the impact of different sleep assessment methods on sleep characteristics and their relation to glycemic control in adults with type 1 diabetes.

June 7, 2026

1759-P: Sleep Characteristics in Type 1 Diabetes and the Importance of Assessment Method

Key Points

The study aims to evaluate the impact of different sleep assessment methods on sleep characteristics and their relation to glycemic control in adults with type 1 diabetes.
Adults with T1D and diabetes duration >3 years were recruited.
Sleep was measured using home-based EEG monitors, the Pittsburgh Sleep Quality Index, and actigraphy for a week.
Participants used the Dexcom G7 for ten days to monitor glycemic parameters.
Data from 57 participants revealed significant discrepancies in sleep metrics across the three methods.
Total sleep time was consistently short across all measurement methods, with subjective sleep efficiency below recommended levels.
A positive correlation was found between total sleep time recorded by home-based EEG and time in range (TIR) with p = 0.04.

Abstract

Introduction and Objective: People with T1D commonly report fragmented sleep - a complex parameter measured by different methods. The purpose of this study was to evaluate sleep using different methods and the association with glycemic parameters. Methods: Adults with T1D, diabetes duration 3 years, CGM use 6 months and not currently treated with AID systems were recruited. Sleep was measured using home-based EEG monitors (HST) for three nights, supplemented by the Pittsburgh Sleep Quality Index and 7 days of actigraphy. All participants used Dexcom G7 for ten days. Results: Data from 57 participants (mean age 47 years, HbA1c 61 mmol/mol, diabetes duration 27 years) were included in the analyses. A significant discrepancy in sleep metrics was found when comparing the three methods (Table 1). Across all methods, total sleep time (TST) was short. Subjectively reported sleep efficiency was below recommended levels, and objectively measured efficiency was in the lower normal range. TST as measured by HST was positively correlated with TIR (p = 0.04). Conclusion: Sleep measurements differ significantly depending on methods used and sleep duration correlates with TIR. Sleep is insufficient in people with T1D and future studies examining this with appropriate methods are warranted. Disclosure M.Z. Sørensen: None. R.F. Johansen: Other - I have given a speech about exercise and type 1 diabetes at three events.; Ended; Rubin Medical. Other - I have written a document about type 1 diabetes and exercise for a Novo Nordisk website.; Ended; Novo Nordisk A/S. S.F. Pedersen: None. M.B. Christensen: None. J. Svensson: Stock/Shareholder; Current; Novo Nordisk. Research Support; Current; Novo Nordisk, Medtronic. Advisory Panel; Current; Sanofi. K. Rytter: Stock/Shareholder; Current; Novo Nordisk. S. Fisker: None. K.W. Hansen: Research Support; Current; Abbott Diabetes, Novo Nordisk. K.K. Nørgaard: Advisory Panel; Current; Novo Nordisk A/S. Consultant; Ended; Novo Nordisk A/S. Advisory Panel; Current; Medtronic. Research Support; Current; Medtronic. Stock/Shareholder; Current; Novo Nordisk A/S. Research Support; Ended; Novo Nordisk A/S. Advisory Panel; Current; Abbott Diabetes, Convatec, Pharmasens. Funding Novo Nordisk Foundation

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Cite This Study

Sørensen et al. (Fri,) studied this question.

synapsesocial.com/papers/6a250bca7def13d035e1bc6a https://doi.org/https://doi.org/10.2337/db26-1759-p

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