Evidence map›Paper›PMID 41130141›Full record

ArticleSleep medicine2025

Multidimensional sleep health in type 2 diabetes: The role of sleep variability in glycemic control.

Sirimon Reutrakul, Jason C Park, J Jason McAnany, Felix Y Chau, Kirstie K Danielson, Bharati Prasad, Andrew Cross, Stephanie Sintetas, Julie Law, Silvana Pannain and 2 more

Abstract read
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In one paragraph

Article in Sleep medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sirimon ReutrakulDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA. Electronic address: sreutrak@uic.edu.
Jason C ParkDepartment of Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, IL, USA.
J Jason McAnanyDepartment of Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, IL, USA.
Felix Y ChauDepartment of Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, IL, USA.
Kirstie K DanielsonDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Bharati PrasadDivision of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA; Jessie Brown Department of Veterans Affairs Hospital, Chicago, IL, USA.
Andrew CrossDepartment of Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, IL, USA.
Stephanie SintetasSection of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Chicago, Chicago, IL, USA.
Julie LawDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Silvana PannainSection of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Chicago, Chicago, IL, USA.
Eve Van CauterSection of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Chicago, Chicago, IL, USA.
Erin C HanlonSection of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Chicago, Chicago, IL, USA.

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · UNIVERSITY OF ILLINOIS AT CHICAGO · 1985 to 2025
$3.9M
NCATS NIH HHS UL1 TR002003NEI NIH HHS P30 EY001792NEI NIH HHS R01 EY029782
6 · The paper itself

Abstract

introductionSleep health consists of multiple dimensions, which may contribute differently to glycemic control in persons with type 2 diabetes (T2D). This study evaluated the associations between sleep dimensions and glycemic control in T2D. MATERIAL AND

methodsSeventy-five participants with T2D were enrolled. Sleep duration, efficiency, sleep midpoint, and sleep variability (standard deviation, SD, of sleep duration) were obtained from 14-day actigraphy recordings. Sleep satisfaction and daytime sleepiness (Epworth Sleepiness Scale, ESS) were obtained from questionnaires. Multidimensional sleep health score (MSH) was created from a sum of "good" sleep scores in each dimension. Hemoglobin A1C (A1C) was obtained. A stepwise regression analysis was performed to investigate independent association(s) between sleep and A1C (natural log transformed).

resultsParticipants' mean (SD) age was 54.0 (6.0) years, median (IQR) A1C was 7.6 (6.6, 8.7)% and 57.3 % were using insulin. The mean sleep duration was 6.2 (1.0) hours, median sleep efficiency was 82.2 (77.1, 86.8)%, median sleep midpoint was 03:17 (02:32, 04:10) AM, and median SD of sleep duration was 1.15 (0.92, 1.49) hours. The median ESS was 7 (4,10). The median MSH score was 4 (3, 4). A stepwise regression analysis with additional assessment for potential confounders demonstrated that sleep variability was positive and independently associated with A1C (B = 0.116, p = 0.006; both variables ln transformed), while other sleep dimensions and MSH score were not related to A1C.

conclusionAmong sleep dimensions, greater variability of sleep duration may have a negative impact on glycemic control in this study. Enhancing regularity of sleep duration could potentially benefit glycemic control in T2D.

Indexed as

Diabetes Mellitus, Type 2Glycemic ControlSleepSleep QualityActigraphyBlood GlucoseFemaleGlycated HemoglobinHumansMaleMiddle AgedSurveys and QuestionnairesBlood GlucoseGlycated HemoglobinGlycemic controlHemoglobin A1CSleepSleep healthSleep regularitySleep variabilityType 2 diabetes

Identifiers

PMID41130141
PMCPMC12668316

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.