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

IF 3 3区医学 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Investigation Pub Date : 2025-04-03 DOI:10.1111/jdi.70039

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

{"title":"Investigating the non-linear association between sleep duration and type 2 diabetes: conventional and Mendelian randomization analyses from the UK Biobank","authors":"Hiroyuki Kuroda, Shiu Lun Au Yeung, Ryosuke Fujii, Masao Iwagami, Atsushi Goto","doi":"10.1111/jdi.70039","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims/Introduction</h3>\n \n <p>Previous 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.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>First, 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The 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).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Our findings suggest that longer sleep duration does not play a major role in the development of type 2 diabetes.</p>\n </section>\n </div>","PeriodicalId":51250,"journal":{"name":"Journal of Diabetes Investigation","volume":"16 6","pages":"1126-1137"},"PeriodicalIF":3.0000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jdi.70039","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jdi.70039","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}

引用次数: 0

Abstract

Aims/Introduction

Previous 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 Methods

First, 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.

Results

The 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).

Conclusions

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

Abstract Image

查看原文本刊更多论文

调查睡眠时间与2型糖尿病之间的非线性关系：来自英国生物银行的常规和孟德尔随机分析。

目的/介绍：先前的观察性研究表明，2型糖尿病的风险增加与睡眠时间长短有关。然而，仍然存在不确定性，特别是关于长时间睡眠的不利影响。我们使用英国生物银行的数据调查了自我报告的基于问卷和客观测量的加速度计得出的睡眠时间与2型糖尿病风险之间的关系。材料和方法：首先，我们使用限制性三次样条进行常规Cox回归分析，以说明睡眠时间与2型糖尿病风险之间潜在的非线性关联。其次，我们使用双排序方法对85个和20个与基于问卷和基于加速计的睡眠时间相关的遗传变异进行非线性孟德尔随机化（MR）分析。第三，我们进行了双样本MR分析。结果：以加速度计计算的睡眠时间的常规分析结果显示，较长的睡眠时间与2型糖尿病风险之间没有很强的关联(风险比[HR]≥10小时与7-8小时相比，1.08；95%可信区间[CI]， 0.92-1.27)。非线性磁共振结果显示，没有强有力的证据表明，基于问卷的较长睡眠时间与2型糖尿病风险增加有关(HR为9小时，7小时，0.77；95% ci, 0.52-1.15)。这一发现与加速度计得出的睡眠时间的非线性磁共振一致(9小时比7小时，0.78；95% ci, 0.29-2.06)。结论：我们的研究结果表明，较长的睡眠时间在2型糖尿病的发展中并不起主要作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Diabetes Investigation ENDOCRINOLOGY & METABOLISM-

CiteScore

6.50

自引率

9.40%

发文量

218

审稿时长

6-12 weeks

期刊介绍： Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).