Evidence map›Paper›PMID 41130969›Full record

ArticleNutrition & diabetes2025

The role of circadian rest-activity rhythm for the link between 25-hydroxyvitamin D and type 2 diabetes: a cohort study.

Hanzhang Wu, Hongliang Feng, Jiahe Wei, Shuai Wang, Liangkai Chen, Ningjian Wang, Jihui Zhang, Xiao Tan

Abstract read
In one paragraph

Article in Nutrition & diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Hanzhang WuDepartment of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. hanzhang.wu@zju.edu.cn.ORCID 0009-0002-5004-5082
Hongliang FengCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangdong, China. hlfeng@gzhmu.edu.cn.
Jiahe WeiDepartment of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shuai WangDepartment of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Liangkai ChenDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ningjian WangDepartment of Endocrinology and Metabolism, Gongli Hospital of Shanghai Pudong New Area, Shanghai University of Medicine & Health Sciences, Shanghai, China.ORCID 0000-0001-9591-6991
Jihui ZhangCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangdong, China. zhangjihui@gzhmu.edu.cn.
Xiao TanDepartment of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. xiao.tan@zju.edu.cn.ORCID 0000-0003-3992-5812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemporal distribution and amplitude of physical activity/inactivity in 24 h known as circadian rest-activity rhythm may predict the risk of various metabolic diseases, including type 2 diabetes (T2D), yet the mechanisms behind the diurnal behavior patterns remain largely unexplored.

methodsThis study included 74,165 UK Biobank participants who were free of T2D at baseline. Circadian rest-activity rhythm (CRAR) characteristics, including amplitude (strength), acrophase (timing of peak activity), pseudo-F (robustness), and mesor (height), were assessed using an extended cosine model applied to accelerometer data. T2D was assessed using the established UK Biobank algorithms. Using Cox regression and restricted cubic spline models, we examined the association between CRAR and incident T2D as well as subsequent all-cause mortality among individuals developed T2D during the follow-up. Mediation analysis explored the mediating effects of blood and metabolic biomarkers.

resultsDuring a median follow-up of 7.9 years, 1784 T2D cases were documented. We found that CRAR abnormalities was associated with a higher risk of incident T2D compared to optimal CRAR, and the multivariate adjusted hazard ratios (HRs) (95% CI) were 1.48 (1.31, 1.67) for low amplitude, 1.25 (1.07, 1.45) for delayed acrophase, 1.17 (1.04, 1.31) for pseudo-F, and 1.55 (1.38, 1.74) for low mesor. Furthermore, low amplitude and low mesor were associated with higher all-cause mortality following the diagnosis of T2D. Serum vitamin D emerged as a crucial mediator in the association between CRAR abnormalities and the risk of T2D as well as subsequent all-cause mortality.

conclusionOur study suggests that CRAR abnormalities are linked to an elevated risk of incident T2D and subsequent mortality. These associations are mediated by blood and metabolic biomarkers, with serum vitamin D playing a significant role as the primary mediator.

Indexed as

Circadian RhythmDiabetes Mellitus, Type 2ExerciseRestVitamin DAdultAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsUnited Kingdom25-hydroxyvitamin DBiomarkersVitamin D

Identifiers

PMID41130969
PMCPMC12549808

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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.