ORIGINAL RESEARCH article
Front. Epidemiol.
Sec. Cardiovascular Epidemiology
Sleep duration and prevalence of coronary artery disease among adults in Chongqing, China
Provisionally accepted- 1Nanchong Central Hospital, Nanchong, China
- 2Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Objective: This study aimed to explore the association between sleep duration and prevalence ofcoronary artery diseases (CAD) among adults in Chongqing, China, and discuss implications for clinical practice and public health policy. Methods: Baseline variables were collected from 2,320 adults who participated in community medical examinations in Chongqing, China, between August 2018 and October 2020. Sleep duration was self-reported and categorized into short (≤5 h/day<6h/day), normal (6–8 h/day), and long (≥9 h/day>8h/day). Multivariate logistic regression was used to examine associations between sleep duration and CAD, adjusting for demographic and clinical confounders. Results: Short sleep (≤5 h/day<6h/day; OR=1.595, 95% CI=1.230–2.067) and long sleep (≥9 h/day>8h/day; OR=2.284, 95% CI=1.456–3.583) were significantly associated with increased odds of CAD compared to normal sleep duration (6–8 h/day), even after adjusting for confounders. Long sleep duration demonstrated a notably stronger association with CAD risk. Conclusion: Both short and long sleep durations are significant risk factors forcoronary artery diseases, with longer sleep duration showing a stronger association. Public health initiatives and clinical practices should integrate sleep duration assessments to identify at-risk populations and implement targeted interventions.
Keywords: China, Coronary Artery Disease, Epidemiology, Public Health, sleep duration
Received: 21 Aug 2025; Accepted: 30 Jan 2026.
Copyright: © 2026 He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jie He
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.