Evidence mapPaperPMID 42484390Full record

ArticleJournal of diabetes investigation2026

Combined sleep behaviors, mediating biomarkers, and incident vascular complications among individuals with type 2 diabetes: A prospective study in UK Biobank.

Yanqiu Zou, Xia Jiang, Jinyu Zhou, Tao Han, Sirui Zheng, Mingshuang Tang, Yutong Wang, Lin Chen, Lingli Qiu, Xuan Wu and 9 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2026. 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

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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Yanqiu ZouDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xia JiangDepartment of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Jinyu ZhouDepartment of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Tao HanDepartment of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0009-9672-8277
Sirui ZhengDepartment of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0003-4866-9635
Mingshuang TangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-8171-1765
Yutong WangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0003-3972-6386
Lin ChenDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Lingli QiuDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0003-6010-6114
Xuan WuDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhixin TanDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yunjie LiuDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Bowen LeiDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0004-5872-886X
Xiaofeng MaDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0001-4369-0094
Di ZhangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiaqiang LiaoDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-3402-3011
Jiayuan LiDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-6965-8877
Ben ZhangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Mengyu FanDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0006-9803-0532

Funding

Recruitment Program for Young ProfessionalsScientific Research Foundation for Advanced Talents, Sichuan University YJ202455Sichuan Medical Association S21003the Experimental Discipline Revitalization Plan of West China School of Public Health and West China Fourth Hospital 2023SY-03the Natural Science Foundation of Sichuan Province, China 2025ZNSFSC1775the Promotion Plan for Basic Medical Sciences and the Development Plan for Cutting-Edge Disciplines, Sichuan Universitythe Science Fund for Creative Research Groups of Science and Technology Bureau of Sichuan Province 2024NSFTD0030
6 · The paper itself

Abstract

aimsTo prospectively examine how combined sleep behaviors affect vascular complications in type 2 diabetes, whether these associations are modified by disease severity, as well as the mediating roles of clinical biomarkers.

methodsA total of 12,456 participants with type 2 diabetes from the UK Biobank were included. A sleep score was defined by: sleep duration, chronotype, insomnia, snoring, and daytime sleepiness. Cox regression models were used to examine the association between healthy sleep score and risk of vascular complications.

resultsOver 13.5 years, 1,878 macrovascular and 3,066 microvascular complications occurred. Compared with a healthy sleep score of 0-1, the multivariable-adjusted HRs (95% CIs) of the score 4-5 were 0.75 (0.63, 0.89) for macrovascular complications [coronary artery disease 0.72 (0.57, 0.91), stroke 0.92 (0.66, 1.28), peripheral artery disease 0.79 (0.56, 1.10)]; 0.86 (0.75, 0.99) for microvascular complications [neuropathy 0.62 (0.47, 0.83), nephropathy 1.01 (0.84, 1.21), retinopathy 0.84 (0.68, 1.03)]. The aggregated diabetes severity score (P

conclusionsA healthy sleep pattern is associated with lower risks of vascular complications in type 2 diabetes, independent of traditional risk factors, and the association with microvascular complications is modified by diabetes severity. Lipid profiles and inflammatory factors partly mediate the favorable association.

Indexed as

SleepType 2 diabetesVascular complications

Identifiers

PMID42484390
PMCPMC13398617

What Socratic holds

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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 Socratic graph.