Evidence map›Paper›PMID 40475990›Full record

ArticleFrontiers in endocrinology2025

Association of self-reported sleep duration with leukocyte telomere length in type 2 diabetes mellitus patients.

Liqun Wang, Ruiping Pan, Ning Yan, Yiling Luo, Yali Wang

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In one paragraph

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

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Liqun WangDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, China.
Ruiping PanDepartment of Chinese Medicine, The second people's hospital of Shizuishan, Shizuishan, China.
Ning YanHeart Center & Department of Cardiovascular Diseases, General Hospital of Ningxia Medical University, Yinchuan, China.
Yiling LuoDepartment of Health Management Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Yali WangDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Leukocyte telomere length (LTL) is a biomarker of aging, and sleep duration is associated with LTL. However, research exploring the relationship between sleep duration and LTL has yielded inconsistent results. This study aimed to investigate the association between sleep duration and LTL in Chinese patients with type 2 diabetes mellitus (T2DM). Methods: A cross-sectional study involving 1,027 T2DM patients was conducted in Ningxia Province, China. Sleep duration was assessed through self-reported measures, while leukocyte telomere length (LTL) was determined using a quantitative polymerase chain reaction (q-PCR) method. Restricted cubic splines (RCS) analysis was initially performed to evaluate the potential nonlinear relationship between sleep duration and LTL. Subsequently, a multiple mixed-effect linear regression model was utilized to examine this association. Results: Binary analysis revealed an inverse association between sleep duration and LTL (β=-0.170, 95% Conclusion: This study adds to the growing literature relating sleep duration with biomarkers of aging and suggests that the shortening of LTL may reflect potential mechanisms through which longer sleep duration contributes to pathological conditions in T2DM patients. It is recommended that healthcare providers, health promoters, and patients pay greater attention to sleep habits, avoiding excessively long sleep durations, to potentially slow cellular aging.

Indexed as

Diabetes Mellitus, Type 2LeukocytesSleepTelomereTelomere HomeostasisAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSelf ReportSleep Durationcross-sectional studysleep durationsleep qualitytelomere lengthtype 2 diabetes mellitus patients

Identifiers

PMID40475990
PMCPMC12137104

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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.