Sleep modes based on objective measurement and diseases of the body systems: a cohort study of 87 617 participants from the UK Biobank dataset

WANG Yimeng; CHEN Qing; LUO Siwen; SHI Fuquan; HE Mengchao; WANG Shengfeng; WEN Qiaorui; DAI Yingzhong; QU Hao; CAO Jia

doi:10.16016/j.2097-0927.202410006

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Sleep modes based on objective measurement and diseases of the body systems: a cohort study of 87 617 participants from the UK Biobank dataset

Monographic Reports | 更新时间：2025-02-27

- Sleep modes based on objective measurement and diseases of the body systems: a cohort study of 87 617 participants from the UK Biobank dataset
- Journal of Army Medical University Vol. 47, Issue 4, Pages: 318-325(2025)
- 作者机构：
  
  1.陆军军医大学（第三军医大学）军事预防医学系毒理学研究所，重庆
  2.解放军疾病预防控制中心应急处置大队，北京
  3.北京大学公共卫生学院流行病与卫生统计学系，北京
  4.重大疾病流行病学教育部重点实验室（北京大学），北京
- 作者简介：
  
  曹佳，电话：（023）68771525， E-mail： caojia@tmmu. edu. cn
- 基金信息：
  
  the National Natural Science Foundation of China(82273747);the National Key Research and Development Program(2022YFC2702900)
- DOI：10.16016/j.2097-0927.202410006
  CLC： R181.2;R181.3;R741.02
- Received：08 October 2024，
  
  Revised：06 December 2024，
  
  Published：28 February 2025
- 稿件说明：
移动端阅览
王艺蒙,陈卿,罗斯文,等.客观测量睡眠模式与各系统疾病谱系风险：英国生物银行87 617人队列研究[J].陆军军医大学学报,2025,47(04):318-325.

WANG Yimeng,CHEN Qing,LUO Siwen,et al.Sleep modes based on objective measurement and diseases of the body systems: a cohort study of 87 617 participants from the UK Biobank dataset[J].J Army Med Univ,2025,47(04):318-325.
王艺蒙,陈卿,罗斯文,等.客观测量睡眠模式与各系统疾病谱系风险：英国生物银行87 617人队列研究[J].陆军军医大学学报,2025,47(04):318-325. DOI：10.16016/j.2097-0927.202410006.

WANG Yimeng,CHEN Qing,LUO Siwen,et al.Sleep modes based on objective measurement and diseases of the body systems: a cohort study of 87 617 participants from the UK Biobank dataset[J].J Army Med Univ,2025,47(04):318-325. DOI：10.16016/j.2097-0927.202410006.

摘要

目的

探究睡眠模式对各系统疾病发生风险的影响。

方法

研究对象来源于英国生物银行一个含有87 617名志愿者的子样本数据，使用加速度计获得3个维度（睡眠时长和入睡时间；睡眠节律；睡眠质量）6项睡眠指标，采用潜在剖面分析（latent profile analysis， LPA）的方法探究人群中存在的睡眠模式，并结合纵向随访医疗记录，分析睡眠模式与467种疾病发生风险的关联。

结果

LPA将人群分成5个不同睡眠模式的亚群，与参考亚群4相比，其他亚群分别在不同的睡眠维度表现出差异，至少1种睡眠指标呈现不良趋势。不同睡眠模式的亚群在人种构成、倒班工作、社会剥夺指数等方面存在差异。不同亚群在各系统疾病的发生风险上也有明显差异（

0.05）。与参考亚群4相比，其余各亚群均表现出某些疾病（共计126种）风险上升，以循环系统、消化系统和骨骼肌肉系统关联病种最多；各亚群中，亚群2（睡眠时长较短，入睡较晚）和亚群5（节律指标较差）关联的风险病种最多（分别为85和91种），且两者关联的病种在系统构成上也有一定差异。

结论

人群中存在不同睡眠模式的群体，其与多系统疾病风险上升有关。针对睡眠的整体模式而非单个维度进行综合干预，可能形成显著的健康收益。

Abstract

Objective To investigate the impact of sleep modes on the risk for diseases of the body systems. Methods Based on a subset of UK Biobank datas

et comprising 87 617 participants

3 sleep dimensions including 6 sleep indicators were obtained through a wrist-worn accelerometer

that is sleep duration and onset

sleep rhythm (relative amplitude and stability)

and sleep quality (sleep efficiency and number of awakenings). Latent profile analysis (LPA) was applied to identify and classify distinct sleep modes. Then their longitudinal medical records were the association between different sleep modes and the risk for 467 diseases.Results‍　‍LPA identified 5 subgroups of unique sleep modes in the participants. Among the 5 subgroups

the subgroup 4 had relatively optimal levels in above sleep indicators. Compared to the subgroup 4

the other 4 subgroups exhibited variations in different sleep dimensions

with at least one indicator demonstrating an unfavorable trend. These subgroups also revealed differences in racial composition

shift work and social deprivation index. Moreover

there were notable differences in the risk of various system diseases among the subgroups (

0.05). When compared to the subgroup 4

the other 4 subgroups exhibited an elevated risk for certain diseases (comprising a total of 126 diseases)

with the diseases of the circulatory system

digestive system and musculoskeletal system most common. Among the 5 subgroups

the subgroup 2 (shorter sleep duration and later sleep onset) and the subgroup 5 (rhythm disorder) had the highest counts of associated risks

amounting to 85 and 91 types

respectively

but there was certain difference in their systematic composition. Conclusion‍ There are different sleep modes within the participants

and the modes are potentially associated with an increased risk for diseases of body systems. Comprehensive interventions targeting overall sleep modes rather than single sleep indicator may yield obvious health benefits.

关键词

Keywords

references

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