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Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults

BACKGROUND: The association of evening chronotype with cardiometabolic disease has been well established. However, the extent to which circadian rhythm disturbances independently result in risk remains unclear. This study aimed to investigate the cross-sectional and prospective longitudinal associat...

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Autores principales: Li, Tingting, Xie, Yang, Tao, Shuman, Zou, Liwei, Yang, Yajuan, Tao, Fangbiao, Wu, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566129/
https://www.ncbi.nlm.nih.gov/pubmed/37821856
http://dx.doi.org/10.1186/s12889-023-16902-2
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author Li, Tingting
Xie, Yang
Tao, Shuman
Zou, Liwei
Yang, Yajuan
Tao, Fangbiao
Wu, Xiaoyan
author_facet Li, Tingting
Xie, Yang
Tao, Shuman
Zou, Liwei
Yang, Yajuan
Tao, Fangbiao
Wu, Xiaoyan
author_sort Li, Tingting
collection PubMed
description BACKGROUND: The association of evening chronotype with cardiometabolic disease has been well established. However, the extent to which circadian rhythm disturbances independently result in risk remains unclear. This study aimed to investigate the cross-sectional and prospective longitudinal associations between chronotype and cardiometabolic risk among Chinese young adults. METHODS: From April to May 2019, a total of 1 135 young adults were selected to complete the self-administered questionnaire, and 744 fasting blood samples were collected to quantify cardiometabolic parameters. From April to May 2021, 340 fasting blood samples were collected to quantify cardiometabolic parameters. The Morning and Evening Questionnaire 5 (MEQ-5) was used to assess chronotype. The cardiometabolic (CM)-risk score was the sum of standardized Z scores based on gender for the 5 indicators: waist circumference (WC), mean arterial pressure (MAP), triglyceride (TG), homeostasis model assessment for insulin resistance (HOMA-IR), and high-density lipoprotein cholesterol (HDL-C), where the HDL-C is multiplied by-1. The generalized linear model was used to determine the cross-sectional and prospective longitudinal associations between chronotype and each cardiometabolic parameter. RESULTS: Cross-sectional association analysis showed that lower MEQ-5 scores were correlated with higher fasting insulin (β=-1.420, 95%CI: -2.386~-0.453), higher HOMA-IR (β=-0.301, 95%CI: -0.507~-0.095), and higher CM risk score (β=-0.063, 95%CI: -0.122~-0.003), even after adjustment for covariates. Prospective longitudinal association analysis also showed that lower MEQ-5 scores were associated with 2 years later higher fasting glucose (β=-0.018, 95%CI: -0.034~-0.003), higher fasting insulin (β=-0.384, 95%CI: -0.766~-0.003), higher HOMA-IR (β=-0.089, 95%CI: -0.176~-0.002), and higher CM-risk score (β=-0.109, 95%CI: -0.214~-0.003) after adjustment for covariates. CONCLUSIONS: Evening chronotype was significantly correlated with higher CM risk among young adults. Our findings suggest that biologically and socially affected sleep timing misalignment is a contributing factor to cardiovascular disease risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16902-2.
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spelling pubmed-105661292023-10-12 Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults Li, Tingting Xie, Yang Tao, Shuman Zou, Liwei Yang, Yajuan Tao, Fangbiao Wu, Xiaoyan BMC Public Health Research BACKGROUND: The association of evening chronotype with cardiometabolic disease has been well established. However, the extent to which circadian rhythm disturbances independently result in risk remains unclear. This study aimed to investigate the cross-sectional and prospective longitudinal associations between chronotype and cardiometabolic risk among Chinese young adults. METHODS: From April to May 2019, a total of 1 135 young adults were selected to complete the self-administered questionnaire, and 744 fasting blood samples were collected to quantify cardiometabolic parameters. From April to May 2021, 340 fasting blood samples were collected to quantify cardiometabolic parameters. The Morning and Evening Questionnaire 5 (MEQ-5) was used to assess chronotype. The cardiometabolic (CM)-risk score was the sum of standardized Z scores based on gender for the 5 indicators: waist circumference (WC), mean arterial pressure (MAP), triglyceride (TG), homeostasis model assessment for insulin resistance (HOMA-IR), and high-density lipoprotein cholesterol (HDL-C), where the HDL-C is multiplied by-1. The generalized linear model was used to determine the cross-sectional and prospective longitudinal associations between chronotype and each cardiometabolic parameter. RESULTS: Cross-sectional association analysis showed that lower MEQ-5 scores were correlated with higher fasting insulin (β=-1.420, 95%CI: -2.386~-0.453), higher HOMA-IR (β=-0.301, 95%CI: -0.507~-0.095), and higher CM risk score (β=-0.063, 95%CI: -0.122~-0.003), even after adjustment for covariates. Prospective longitudinal association analysis also showed that lower MEQ-5 scores were associated with 2 years later higher fasting glucose (β=-0.018, 95%CI: -0.034~-0.003), higher fasting insulin (β=-0.384, 95%CI: -0.766~-0.003), higher HOMA-IR (β=-0.089, 95%CI: -0.176~-0.002), and higher CM-risk score (β=-0.109, 95%CI: -0.214~-0.003) after adjustment for covariates. CONCLUSIONS: Evening chronotype was significantly correlated with higher CM risk among young adults. Our findings suggest that biologically and socially affected sleep timing misalignment is a contributing factor to cardiovascular disease risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16902-2. BioMed Central 2023-10-11 /pmc/articles/PMC10566129/ /pubmed/37821856 http://dx.doi.org/10.1186/s12889-023-16902-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Tingting
Xie, Yang
Tao, Shuman
Zou, Liwei
Yang, Yajuan
Tao, Fangbiao
Wu, Xiaoyan
Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
title Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
title_full Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
title_fullStr Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
title_full_unstemmed Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
title_short Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
title_sort prospective study of the association between chronotype and cardiometabolic risk among chinese young adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566129/
https://www.ncbi.nlm.nih.gov/pubmed/37821856
http://dx.doi.org/10.1186/s12889-023-16902-2
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