Evidence map›Paper›PMID 40817906›Full record

ArticleJACC. Asia2025

Association of Income Inequality and Sleep Duration With Cardiovascular Outcomes in China and the UK.

Cong Li, Guangyao Hua, Yan Wang, Xue He, Jinghua Jiao, Xiaohong Yang, Honghua Yu, Lei Liu

Abstract read
In one paragraph

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

0numbers the graph read from it
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2citing papers 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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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

2 citing papers in PubMed.

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4 · The record

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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.

Cong LiDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Sciences, Guangzhou, China.
Guangyao HuaDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academic of Medical Sciences), Southern Medical University, Guangzhou, China.
Yan WangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China.
Xue HeDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China.
Jinghua JiaoDepartment of Anesthesiology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaohong YangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Honghua YuDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. Electronic address: yuhonghua@gdph.org.cn.
Lei LiuDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. Electronic address: liulei@gdph.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) are a major global health issue, influenced by income level and sleep duration.

objectivesThis study sought to assess the impact of income inequality and sleep duration on CVD outcomes in China and the United Kingdom.

methodsWe analyzed data from the China Kadoorie Biobank (CKB) (n = 486,131) and UK Biobank (UKB) (n = 403,858). Income level was categorized into low, medium, and high based on the annual household income, and sleep duration into short (<7 hours), optimal (7-9 hours), and long (>9 hours). Cox models estimated HRs for income level, sleep duration, and CVD outcomes.

resultsA total of 134,227 incident CVD cases and 16,852 deaths were identified. Low income was associated with higher CVD incidence and mortality in both cohorts (P < 0.001). Short and long sleep durations increased CVD incidence in both cohorts (P < 0.05), except for long sleep and ischemic heart disease in the CKB. Long sleep duration was associated with higher CVD mortality in both cohorts, whereas short sleep duration increased ischemic heart disease risk in the UKB. Compared with individuals of high income and optimal sleep duration, low income was associated with higher CVD risk across all sleep categories. Medium income raised CVD incidence risk in all sleep categories, with mortality associations varying by sleep duration between the CKB and the UKB.

conclusionsIncome level and sleep duration independently and jointly affect CVD incidence and mortality. Low income and suboptimal sleep duration are detrimental to cardiovascular health, highlighting the need for public health strategies to address income disparities and promote optimal sleep for CVD prevention.

Indexed as

cardiovascular diseasesincome inequalitypopulation-based studysleep duration

Identifiers

PMID40817906
PMCPMC12790051

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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.