Evidence map›Paper›PMID 38327493›Full record

ArticleFrontiers in cardiovascular medicine2024

Association of sleep characteristics with cardiovascular disease risk in adults over 40 years of age: a cross-sectional survey.

Xin-Zheng Hou, Yu-Shan Li, Qian Wu, Qian-Yu Lv, Ying-Tian Yang, Lan-Lan Li, Xue-Jiao Ye, Chen-Yan Yang, Man-Shi Wang, Yan-Fei Lv and 2 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Xin-Zheng HouDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Yu-Shan LiCollege of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Qian WuDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Qian-Yu LvDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Ying-Tian YangDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Lan-Lan LiDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Xue-Jiao YeDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Chen-Yan YangDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Man-Shi WangDepartment of Cardiovascular Diseases, Guangwai Hospital, Beijing, China.
Yan-Fei LvShanghai Qianhe Technology Co., Ltd., Shanghai, China.
Lin-Lin CaoDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Shi-Han WangDepartment of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between sleep characteristics and cardiovascular disease (CVD) risk has yet to reach a consistent conclusion, and more research needs to be carried out. This study aimed to explore the relationship between snoring, daytime sleepiness, bedtime, sleep duration, and high-risk sleep patterns with CVD risk. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 were collected and analyzed. Multivariable logistic regression was used to evaluate the relationship between snoring, daytime sleepiness, bedtime, sleep duration, high-risk sleep patterns, and CVD risk. Stratified analysis and interaction tests were carried out according to hypertension, diabetes and age. Results: The final analysis contained 6,830 participants, including 1,001 with CVD. Multivariable logistic regression suggested that the relationship between snoring [OR = 7.37,95%CI = (6.06,8.96)], daytime sleepiness [OR = 11.21,95%CI = (9.60,13.08)], sleep duration shorter than 7 h [OR = 9.50,95%CI = (7.65,11.79)] or longer than 8 h [OR = 6.61,95%CI = (5.33,8.19)], bedtime after 0:00 [OR = 13.20,95%CI = (9.78,17.80)] compared to 22:00-22:59, high-risk sleep patterns [OR = 47.73,95%CI = (36.73,62.04)] and CVD risk were statistically significant. Hypertension and diabetes interacted with high-risk sleep patterns, but age did not. Conclusions: Snoring, daytime sleepiness, excessive or short sleep duration, inappropriate bedtime, and high-risk sleep patterns composed of these factors are associated with the CVD risk. High-risk sleep patterns have a more significant impact on patients with hypertension and diabetes.

Indexed as

bedtimecardiovascular diseasedaytime sleepinesssleep durationsleep patternssnoring

Identifiers

PMID38327493
PMCPMC10847268

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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.