Evidence map›Paper›PMID 37709596›Full record

ArticleSleep health2023

Association between sleep variability and time in range of glucose levels in patients with type 1 diabetes: Cross-sectional study.

Sirimon Reutrakul, Ghada Abu Irsheed, Minsun Park, Alana D Steffen, Larisa Burke, Sarida Pratuangtham, Kelly Glazer Baron, Jennifer Duffecy, Rose Perez, Laurie Quinn and 5 more

Open access · greenAbstract read
In one paragraph

Article in Sleep health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

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  10. Sleep Disturbances in Type 1 Diabetes and Mitigating Cardiovascular Risk.The Journal of clinical endocrinology and metabolism · 2024
    Review
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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

15 authors at 5 institutions in 1 country.

Sirimon ReutrakulDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA. Electronic address: sreutrak@uic.edu.
Ghada Abu IrsheedCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Minsun ParkCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Alana D SteffenCollege of Nursing, Department of Population Health Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Larisa BurkeOffice of Research Facilitation, College of Nursing, University of Illinois Chicago, Chicago, Illinois, USA.
Sarida PratuangthamDepartment of Bioengineering, University of California San Diego, San Diego, California, USA.
Kelly Glazer BaronDivision of Public Health, Department of Family and Preventive Medicine, The University of Utah, Salt Lake City, Utah, USA.
Jennifer DuffecyDepartment of Psychiatry, College of Medicine, University of Illinois Chicago, Chicago, llinois, USA.
Rose PerezCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Laurie QuinnCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Margaret H Clark WithingtonCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Adam Hussain SalehCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Bernardo LoiaconoCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
Dan MihailescuDivision of Endocrinology, Cook County Health, Chicago, Illinois, USA.
Pamela Martyn-NemethCollege of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA.
University of Illinois Urbana-Champaign · USUniversity of Illinois Chicago · USCook County Health and Hospitals System · USUniversity of California San Diego · USUniversity of Utah · US

Funding

Sleep optimization to improve glycemic control in adults with type 1 diabetesR01DK121726 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MARTYN-NEMETH, PAMELA ANN · 2020 to 2024
$3.0M
NIDDK NIH HHS R01 DK121726
6 · The paper itself

Abstract

objectiveSleep and circadian disturbances emerge as novel factors influencing glycemic control in type 1 diabetes (T1D). We aimed to explore the associations among sleep, behavioral circadian parameters, self-care, and glycemic parameters in T1D.

methodsSeventy-six non-shift-working adult T1D patients participated. Blinded 7-day continuous glucose monitoring (CGM) and hemoglobin A1C (A1C) were collected. Percentages of time-in-range (glucose levels 70-180 mg/dL) and glycemic variability (measured by the coefficient of variation [%CV]) were calculated from CGM. Sleep (duration and efficiency) was recorded using 7-day actigraphy. Variability (standard deviation) of midsleep time was used to represent sleep variability. Nonparametric behavioral circadian variables were derived from actigraphy activity recordings. Self-care was measured by diabetes self-management questionnaire-revised. Multiple regression analyses were performed to identify independent predictors of glycemic parameters.

resultsMedian (interquartile range) age was 34.0 (27.2, 43.1) years, 48 (63.2%) were female, and median (interquartile range) A1C was 6.8% (6.2, 7.4). Sleep duration, efficiency, and nonparametric behavioral circadian variables were not associated with glycemic parameters. After adjusting for age, sex, insulin delivery mode/CGM use, and ethnicity, each hour increase in sleep variability was associated with 9.64% less time-in-range (B = -9.64, 95% confidence interval [-16.29, -2.99], p ≤ .001). A higher diabetes self-management questionnaire score was an independent predictor of lower A1C (B = -0.18, 95% confidence interval [-0.32, -0.04]).

conclusionGreater sleep timing variability is independently associated with less time spent in the desirable glucose range in this T1D cohort. Reducing sleep timing variability could potentially lead to improved metabolic control and should be explored in future research. DATA AVAILABILITY STATEMENT: Data are available upon a reasonable request to the corresponding author.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdultBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesFemaleGlucoseGlycated HemoglobinHumansMaleSleepSurveys and QuestionnairesBlood GlucoseGlucoseGlycated HemoglobinContinuous glucose monitorGlycemic controlHemoglobin A1CSleepSleep variabilityTime-in-rangeType 1 diabetes

Identifiers

PMID37709596
PMCPMC10840618
OpenAlexW4386645548

What OpenQuestion 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 OpenQuestion graph.