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The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016
The study aimed to compare the predictive value of the Circadian Syndrome (CircS) and Metabolic Syndrome (MetS) for cardiovascular disease (CVD). We used data of 12,156 adults aged ≥20 years who attended National Health and Nutrition Examination Survey (NHANES) 2005–2016. Mortality was obtained from...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785664/ https://www.ncbi.nlm.nih.gov/pubmed/36558476 http://dx.doi.org/10.3390/nu14245317 |
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author | Shi, Zumin Tuomilehto, Jaakko Kronfeld-Schor, Noga Alberti, George Stern, Naftali El-Osta, Assam Chai, Zhonglin Bilu, Carmel Einat, Haim Zimmet, Paul |
author_facet | Shi, Zumin Tuomilehto, Jaakko Kronfeld-Schor, Noga Alberti, George Stern, Naftali El-Osta, Assam Chai, Zhonglin Bilu, Carmel Einat, Haim Zimmet, Paul |
author_sort | Shi, Zumin |
collection | PubMed |
description | The study aimed to compare the predictive value of the Circadian Syndrome (CircS) and Metabolic Syndrome (MetS) for cardiovascular disease (CVD). We used data of 12,156 adults aged ≥20 years who attended National Health and Nutrition Examination Survey (NHANES) 2005–2016. Mortality was obtained from the registry updated to 2019. The CircS was defined based on components of the MetS, in addition to short sleep and depression. Both the MetS and CircS were directly associated with self-reported history of CVD. The odds ratios for prevalent CVD associated with the CircS and MetS, respectively, were 2.92 (95% confidence interval (CI) 2.21–3.86) and 3.20 (2.38–4.30) in men, and 3.27 (2.34–4.59) and 3.04 (2.15–4.30) in women. The CircS had a better predictive power for prevalent CVD than that of MetS, as indicated by the higher positive predictive value (PPV); in men, the PPV for prevalent CVD with CircS was 23.1% and with MetS 20.9%, and in women these were 17.9% vs. 16.4%, respectively. However, the PPV of the CircS and MetS did not differ for the CVD mortality prediction. Women with CircS alone had a higher risk for both prevalent CVD and CVD mortality than those with MetS alone. In conclusion, the CircS is a significant and stronger predictor for CVD than the MetS in US adults. |
format | Online Article Text |
id | pubmed-9785664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97856642022-12-24 The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 Shi, Zumin Tuomilehto, Jaakko Kronfeld-Schor, Noga Alberti, George Stern, Naftali El-Osta, Assam Chai, Zhonglin Bilu, Carmel Einat, Haim Zimmet, Paul Nutrients Article The study aimed to compare the predictive value of the Circadian Syndrome (CircS) and Metabolic Syndrome (MetS) for cardiovascular disease (CVD). We used data of 12,156 adults aged ≥20 years who attended National Health and Nutrition Examination Survey (NHANES) 2005–2016. Mortality was obtained from the registry updated to 2019. The CircS was defined based on components of the MetS, in addition to short sleep and depression. Both the MetS and CircS were directly associated with self-reported history of CVD. The odds ratios for prevalent CVD associated with the CircS and MetS, respectively, were 2.92 (95% confidence interval (CI) 2.21–3.86) and 3.20 (2.38–4.30) in men, and 3.27 (2.34–4.59) and 3.04 (2.15–4.30) in women. The CircS had a better predictive power for prevalent CVD than that of MetS, as indicated by the higher positive predictive value (PPV); in men, the PPV for prevalent CVD with CircS was 23.1% and with MetS 20.9%, and in women these were 17.9% vs. 16.4%, respectively. However, the PPV of the CircS and MetS did not differ for the CVD mortality prediction. Women with CircS alone had a higher risk for both prevalent CVD and CVD mortality than those with MetS alone. In conclusion, the CircS is a significant and stronger predictor for CVD than the MetS in US adults. MDPI 2022-12-14 /pmc/articles/PMC9785664/ /pubmed/36558476 http://dx.doi.org/10.3390/nu14245317 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shi, Zumin Tuomilehto, Jaakko Kronfeld-Schor, Noga Alberti, George Stern, Naftali El-Osta, Assam Chai, Zhonglin Bilu, Carmel Einat, Haim Zimmet, Paul The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 |
title | The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 |
title_full | The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 |
title_fullStr | The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 |
title_full_unstemmed | The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 |
title_short | The Circadian Syndrome Is a Significant and Stronger Predictor for Cardiovascular Disease than the Metabolic Syndrome—The NHANES Survey during 2005–2016 |
title_sort | circadian syndrome is a significant and stronger predictor for cardiovascular disease than the metabolic syndrome—the nhanes survey during 2005–2016 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785664/ https://www.ncbi.nlm.nih.gov/pubmed/36558476 http://dx.doi.org/10.3390/nu14245317 |
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