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Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules

STUDY OBJECTIVES: Social jetlag manifests as a difference in sleep timing on workdays and free days. Social jetlag is often associated with shorter, lower-quality sleep, so it is unclear how much the chronic circadian misalignment contributes to observed negative health outcomes. We aimed to (1) inv...

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Autores principales: Sládek, Martin, Klusáček, Jan, Hamplová, Dana, Sumová, Alena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262187/
https://www.ncbi.nlm.nih.gov/pubmed/36827078
http://dx.doi.org/10.1093/sleep/zsad037
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author Sládek, Martin
Klusáček, Jan
Hamplová, Dana
Sumová, Alena
author_facet Sládek, Martin
Klusáček, Jan
Hamplová, Dana
Sumová, Alena
author_sort Sládek, Martin
collection PubMed
description STUDY OBJECTIVES: Social jetlag manifests as a difference in sleep timing on workdays and free days. Social jetlag is often associated with shorter, lower-quality sleep, so it is unclear how much the chronic circadian misalignment contributes to observed negative health outcomes. We aimed to (1) investigate associations between social jetlag, chronotype (one of its determinants), and the levels of health markers, (2) describe factors associated with social jetlag, and (3) examine whether working from home can reduce social jetlag. METHODS: Adult respondents participated in a nationally representative longitudinal survey of Czech households (individuals in each wave: n(2018/19/20) = 5132/1957/1533), which included Munich ChronoType Questionnaire to evaluate chronotype and social jetlag. A subset provided blood samples (n(2019) = 1957) for detection of nine biomarkers and was surveyed in three successive years (social jetlag calculated for n(2018/19/20) = 3930/1601/1237). Data were analyzed by nonparametric univariate tests and mixed effects multivariate regression with social jetlag, chronotype, sex, age, body-mass index, and reported diseases as predictors and biomarker levels as outcomes. RESULTS: Higher social jetlag (≥0.65 h) was significantly associated with increased levels of total cholesterol and low-density lipoprotein cholesterol, particularly in participants older than 50 years (Mann–Whitney, men: p(CHL) = 0.0005, p(LDL) = 0.0009; women: p(CHL) = 0.0079, p(LDL) = 0.0068). Extreme chronotypes were associated with cardiovascular disease risk markers regardless of social jetlag (Kruskal–Wallis, p < 0.0001). Commuting to work and time stress were identified as important contributors to social jetlag. Individual longitudinal data showed that working from home decreased social jetlag and prolonged sleep. CONCLUSIONS: We report significant associations between sleep phase preference, social jetlag, and cardio-metabolic biomarkers.
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spelling pubmed-102621872023-06-15 Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules Sládek, Martin Klusáček, Jan Hamplová, Dana Sumová, Alena Sleep Circadian Rhythms and Circadian Disorders STUDY OBJECTIVES: Social jetlag manifests as a difference in sleep timing on workdays and free days. Social jetlag is often associated with shorter, lower-quality sleep, so it is unclear how much the chronic circadian misalignment contributes to observed negative health outcomes. We aimed to (1) investigate associations between social jetlag, chronotype (one of its determinants), and the levels of health markers, (2) describe factors associated with social jetlag, and (3) examine whether working from home can reduce social jetlag. METHODS: Adult respondents participated in a nationally representative longitudinal survey of Czech households (individuals in each wave: n(2018/19/20) = 5132/1957/1533), which included Munich ChronoType Questionnaire to evaluate chronotype and social jetlag. A subset provided blood samples (n(2019) = 1957) for detection of nine biomarkers and was surveyed in three successive years (social jetlag calculated for n(2018/19/20) = 3930/1601/1237). Data were analyzed by nonparametric univariate tests and mixed effects multivariate regression with social jetlag, chronotype, sex, age, body-mass index, and reported diseases as predictors and biomarker levels as outcomes. RESULTS: Higher social jetlag (≥0.65 h) was significantly associated with increased levels of total cholesterol and low-density lipoprotein cholesterol, particularly in participants older than 50 years (Mann–Whitney, men: p(CHL) = 0.0005, p(LDL) = 0.0009; women: p(CHL) = 0.0079, p(LDL) = 0.0068). Extreme chronotypes were associated with cardiovascular disease risk markers regardless of social jetlag (Kruskal–Wallis, p < 0.0001). Commuting to work and time stress were identified as important contributors to social jetlag. Individual longitudinal data showed that working from home decreased social jetlag and prolonged sleep. CONCLUSIONS: We report significant associations between sleep phase preference, social jetlag, and cardio-metabolic biomarkers. Oxford University Press 2023-02-24 /pmc/articles/PMC10262187/ /pubmed/36827078 http://dx.doi.org/10.1093/sleep/zsad037 Text en © Sleep Research Society 2023. Published by Oxford University Press on behalf of the Sleep Research Society. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Circadian Rhythms and Circadian Disorders
Sládek, Martin
Klusáček, Jan
Hamplová, Dana
Sumová, Alena
Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
title Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
title_full Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
title_fullStr Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
title_full_unstemmed Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
title_short Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
title_sort population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules
topic Circadian Rhythms and Circadian Disorders
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262187/
https://www.ncbi.nlm.nih.gov/pubmed/36827078
http://dx.doi.org/10.1093/sleep/zsad037
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