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Sleep Pattern, Genetic Susceptibility, and Abdominal Aortic Aneurysm in UK Biobank Participants: Large-Scale Cohort Study.
Zhu, Dongliang; Li, Xiaoguang; Man, Qiuhong; Zhao, Renjia; Zhang, Shufan; Han, Xiang; Jiang, Yanfeng; Xu, Kelin; Chen, Xingdong; Suo, Chen; Xiong, Lize.
Afiliação
  • Zhu D; Department of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
  • Li X; Department of Thyroid, Breast and Vascular Surgery, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Man Q; Department of Clinical Laboratory, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Zhao R; State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
  • Zhang S; Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Han X; Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Jiang Y; State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
  • Xu K; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Chen X; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Suo C; State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
  • Xiong L; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
JACC Adv ; 3(6): 100967, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38938869
ABSTRACT

Background:

Abdominal aortic aneurysm (AAA) is an important cause of cardiovascular mortality.

Objectives:

The authors aimed to explore the associations between sleep patterns and genetic susceptibility to AAA.

Methods:

We included 344,855 UK Biobank study participants free of AAA at baseline. A sleep pattern was defined by chronotype, sleep duration, insomnia, snoring, and daytime sleepiness, and an overall sleep score was constructed with a range from 0 to 5, where a high score denotes a healthy sleep pattern. Polygenic risk score based on 22 single nucleotide polymorphisms was categorized into tertiles and used to evaluate the genetic risk for AAA. Cox proportional hazards regression models were used to assess the association between sleep, genetic factors, and the incidence of AAA.

Results:

During a median of 12.59 years of follow-up, 1,622 incident AAA cases were identified. The HR per 1-point increase in the sleep score was 0.91 (95% CI 0.86-0.96) for AAA. Unhealthy sleep patterns, defined as a sleep score ranging from 0 to 3, were found to be associated with a higher risk of AAA for the intermediate (HR 1.18, 95% CI 1.06-1.31) and poor sleep patterns (HR 1.40, 95% CI 1.13-1.73), respectively, compared to the healthy pattern. Participants with poor sleep patterns and high genetic risks had a 2.5-fold higher risk of AAA than those with healthy sleep patterns and low genetic risk.

Conclusions:

In this large prospective study, healthy sleep patterns were associated with a lower risk of AAA among participants with low, intermediate, or high genetic risk.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article