Evidence map›Paper›PMID 40181521›Full record

ArticleJournal of diabetes investigation2025

Investigating the non-linear association between sleep duration and type 2 diabetes: conventional and Mendelian randomization analyses from the UK Biobank.

Hiroyuki Kuroda, Shiu Lun Au Yeung, Ryosuke Fujii, Masao Iwagami, Atsushi Goto

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Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hiroyuki KurodaDepartment of Public Health, School of Medicine, Yokohama City University, Yokohama, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-5128-0159
Shiu Lun Au YeungSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Ryosuke FujiiDepartment of Preventive Medical Sciences, School of Medical Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Masao IwagamiInstitute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Atsushi GotoDepartment of Public Health, School of Medicine, Yokohama City University, Yokohama, Kanagawa, Japan.ORCID https://orcid.org/0000-0003-0669-654X

Funding

Japan Society for the Promotion of Science 24K02708Japan Society for the Promotion of Science 24K23752The National Cancer Center Research and Development Fund
6 · The paper itself

Abstract

AIMS/

introductionPrevious observational studies have suggested an increased risk of type 2 diabetes associated with both short and long sleep duration. However, there remains uncertainty, particularly regarding the adverse effects of long sleep duration. We investigated the association between self-reported questionnaire-based and objectively measured accelerometer-derived sleep duration and the risk of type 2 diabetes using data from the UK Biobank. MATERIALS AND

methodsFirst, we performed conventional Cox regression analysis with restricted cubic splines to illustrate the potentially non-linear association between sleep duration and the risk of type 2 diabetes. Second, we performed non-linear Mendelian randomization (MR) analysis using the doubly-ranked method with 85 and 20 genetic variants associated with questionnaire-based and accelerometer-based sleep duration, respectively. Third, we performed two-sample MR analysis.

resultsThe results of conventional analysis of accelerometer-derived sleep duration did not suggest a strong association between longer sleep duration and type 2 diabetes risk (hazard ratio [HR] of ≥10 h compared with 7-8 h, 1.08; 95% confidence interval [CI], 0.92-1.27). The results of non-linear MR showed no strong evidence for an increased risk of type 2 diabetes associated with questionnaire-based longer sleep duration (HR of 9 h compared with 7 h, 0.77; 95% CI, 0.52-1.15). This finding was consistent with non-linear MR of accelerometer-derived sleep duration (HR of 9 h compared with 7 h, 0.78; 95% CI, 0.29-2.06).

conclusionsOur findings suggest that longer sleep duration does not play a major role in the development of type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Mendelian Randomization AnalysisSleepAccelerometryAgedBiological Specimen BanksFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRisk FactorsSleep DurationSurveys and QuestionnairesTime FactorsDiabetes mellitus, type 2Mendelian randomizationSleep duration

Identifiers

PMID40181521
PMCPMC12131940

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LicenceCC BY-NC-ND
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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.