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Monographic Report | Publishing Language: Chinese | Open Access

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

Yimeng WANG1Qing CHEN1Siwen LUO1Fuquan SHI2Mengchao HE1Shengfeng WANG3,4Qiaorui WEN3,4Yingzhong DAI1Hao QU1Jia CAO1( )
Institute of Toxicology, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing
Department of Emergency Response, Center for Disease Control and Prevention of Chinese PLA, Beijing
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing
Key Laboratory of Epidemiology of Major Diseases (Peking University) of Ministry of Education, Beijing, China
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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 dataset 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(P<0. 05). When compared to the subgroup 4, the other 4subgroups 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.

CLC number: R181.2; R181.3; R741.02 Document code: A

References

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Journal of Army Medical University
Pages 318-325

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Cite this article:
WANG Y, CHEN Q, LUO S, 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. Journal of Army Medical University, 2025, 47(4): 318-325. https://doi.org/10.16016/j.2097-0927.202410006

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Received: 08 October 2024
Revised: 06 December 2024
Published: 28 February 2025
© 2025 Journal of Army Medical University

This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).