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Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults
BACKGROUND: The study objectives were to examine whether: 1) sedentary time is associated with sleep duration, 2) sedentary time predicts the metabolic syndrome (MetS) independent of sleep duration and vice versa, and 3) sedentary time and sleep duration have an interactive effect on the MetS. METHO...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086271/ https://www.ncbi.nlm.nih.gov/pubmed/24975509 http://dx.doi.org/10.1186/1471-2458-14-666 |
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author | Saleh, Donna Janssen, Ian |
author_facet | Saleh, Donna Janssen, Ian |
author_sort | Saleh, Donna |
collection | PubMed |
description | BACKGROUND: The study objectives were to examine whether: 1) sedentary time is associated with sleep duration, 2) sedentary time predicts the metabolic syndrome (MetS) independent of sleep duration and vice versa, and 3) sedentary time and sleep duration have an interactive effect on the MetS. METHODS: This cross-sectional study is based on the 2003–2006 National Health and Nutrition Examination Survey. A sample of 1371 adults (aged ≥20 years) were studied. Average daily sedentary time and sleep duration were determined via 7-day accelerometry. Screen time was determined via questionnaire. The MetS was determined using standard criteria. Analysis of variance was used to examine relationships among sedentary time and screen time with sleep duration. Logistic regression was used to examine associations between sedentary time, screen time, and sleep duration with the MetS after controlling for several confounders. RESULTS: Sedentary time and screen time did not vary across sleep duration quartiles. Participants in the highest quartile of sedentary time were more likely to have the MetS than participants in the lowest quartile (odds ratio = 1.60, 95% CI:1.05-2.45). The odds of the MetS was higher in participants in the highest screen time tertile as compared to the lowest tertile (odds ratio = 1.67, 95% confidence interval:1.13-2.48). Sleep duration was not independently related to the MetS. There were no significant sedentary time X sleep duration interactions on the MetS. CONCLUSION: Highly sedentary individuals and individuals with a high screen time are more likely to have the MetS. |
format | Online Article Text |
id | pubmed-4086271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40862712014-07-09 Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults Saleh, Donna Janssen, Ian BMC Public Health Research Article BACKGROUND: The study objectives were to examine whether: 1) sedentary time is associated with sleep duration, 2) sedentary time predicts the metabolic syndrome (MetS) independent of sleep duration and vice versa, and 3) sedentary time and sleep duration have an interactive effect on the MetS. METHODS: This cross-sectional study is based on the 2003–2006 National Health and Nutrition Examination Survey. A sample of 1371 adults (aged ≥20 years) were studied. Average daily sedentary time and sleep duration were determined via 7-day accelerometry. Screen time was determined via questionnaire. The MetS was determined using standard criteria. Analysis of variance was used to examine relationships among sedentary time and screen time with sleep duration. Logistic regression was used to examine associations between sedentary time, screen time, and sleep duration with the MetS after controlling for several confounders. RESULTS: Sedentary time and screen time did not vary across sleep duration quartiles. Participants in the highest quartile of sedentary time were more likely to have the MetS than participants in the lowest quartile (odds ratio = 1.60, 95% CI:1.05-2.45). The odds of the MetS was higher in participants in the highest screen time tertile as compared to the lowest tertile (odds ratio = 1.67, 95% confidence interval:1.13-2.48). Sleep duration was not independently related to the MetS. There were no significant sedentary time X sleep duration interactions on the MetS. CONCLUSION: Highly sedentary individuals and individuals with a high screen time are more likely to have the MetS. BioMed Central 2014-06-30 /pmc/articles/PMC4086271/ /pubmed/24975509 http://dx.doi.org/10.1186/1471-2458-14-666 Text en Copyright © 2014 Saleh and Janssen; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Saleh, Donna Janssen, Ian Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
title | Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
title_full | Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
title_fullStr | Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
title_full_unstemmed | Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
title_short | Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
title_sort | interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086271/ https://www.ncbi.nlm.nih.gov/pubmed/24975509 http://dx.doi.org/10.1186/1471-2458-14-666 |
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