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Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study
ABSTRACT: Type 2 diabetes (T2D) is an independent risk factor for sleep breathing disorders. However, it is unknown whether T2D affects daily somnolence and quality of sleep independently of the impairment of polysomnographic parameters. MATERIAL AND METHODS: A case-control study including 413 patie...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912108/ https://www.ncbi.nlm.nih.gov/pubmed/27315083 http://dx.doi.org/10.1371/journal.pone.0157579 |
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author | Lecube, Albert Sánchez, Enric Gómez-Peralta, Fernando Abreu, Cristina Valls, Joan Mestre, Olga Romero, Odile Martínez, María Dolores Sampol, Gabriel Ciudin, Andreea Hernández, Cristina Simó, Rafael |
author_facet | Lecube, Albert Sánchez, Enric Gómez-Peralta, Fernando Abreu, Cristina Valls, Joan Mestre, Olga Romero, Odile Martínez, María Dolores Sampol, Gabriel Ciudin, Andreea Hernández, Cristina Simó, Rafael |
author_sort | Lecube, Albert |
collection | PubMed |
description | ABSTRACT: Type 2 diabetes (T2D) is an independent risk factor for sleep breathing disorders. However, it is unknown whether T2D affects daily somnolence and quality of sleep independently of the impairment of polysomnographic parameters. MATERIAL AND METHODS: A case-control study including 413 patients with T2D and 413 non-diabetic subjects, matched by age, gender, BMI, and waist and neck circumferences. A polysomnography was performed and daytime sleepiness was evaluated using the Epworth Sleepiness Scale (ESS). In addition, 135 subjects with T2D and 45 controls matched by the same previous parameters were also evaluated through the Pittsburgh Sleep Quality Index (PSQI) to calculate sleep quality. RESULTS: Daytime sleepiness was higher in T2D than in control subjects (p = 0.003), with 23.9% of subjects presenting an excessive daytime sleepiness (ESS>10). Patients with fasting plasma glucose (FPG ≥13.1 mmol/l) were identified as the group with a higher risk associated with an ESS>10 (OR 3.9, 95% CI 1.8–7.9, p = 0.0003). A stepwise regression analyses showed that the presence of T2D, baseline glucose levels and gender but not polysomnographic parameters (i.e apnea-hyoapnea index or sleeping time spent with oxigen saturation lower than 90%) independently predicted the ESS score. In addition, subjects with T2D showed higher sleep disturbances [PSQI: 7.0 (1.0–18.0) vs. 4 (0.0–12.0), p<0.001]. CONCLUSION: The presence of T2D and high levels of FPG are independent risk factors for daytime sleepiness and adversely affect sleep quality. Prospective studies addressed to demonstrate whether glycemia optimization could improve the sleep quality in T2D patients seem warranted. |
format | Online Article Text |
id | pubmed-4912108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49121082016-07-06 Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study Lecube, Albert Sánchez, Enric Gómez-Peralta, Fernando Abreu, Cristina Valls, Joan Mestre, Olga Romero, Odile Martínez, María Dolores Sampol, Gabriel Ciudin, Andreea Hernández, Cristina Simó, Rafael PLoS One Research Article ABSTRACT: Type 2 diabetes (T2D) is an independent risk factor for sleep breathing disorders. However, it is unknown whether T2D affects daily somnolence and quality of sleep independently of the impairment of polysomnographic parameters. MATERIAL AND METHODS: A case-control study including 413 patients with T2D and 413 non-diabetic subjects, matched by age, gender, BMI, and waist and neck circumferences. A polysomnography was performed and daytime sleepiness was evaluated using the Epworth Sleepiness Scale (ESS). In addition, 135 subjects with T2D and 45 controls matched by the same previous parameters were also evaluated through the Pittsburgh Sleep Quality Index (PSQI) to calculate sleep quality. RESULTS: Daytime sleepiness was higher in T2D than in control subjects (p = 0.003), with 23.9% of subjects presenting an excessive daytime sleepiness (ESS>10). Patients with fasting plasma glucose (FPG ≥13.1 mmol/l) were identified as the group with a higher risk associated with an ESS>10 (OR 3.9, 95% CI 1.8–7.9, p = 0.0003). A stepwise regression analyses showed that the presence of T2D, baseline glucose levels and gender but not polysomnographic parameters (i.e apnea-hyoapnea index or sleeping time spent with oxigen saturation lower than 90%) independently predicted the ESS score. In addition, subjects with T2D showed higher sleep disturbances [PSQI: 7.0 (1.0–18.0) vs. 4 (0.0–12.0), p<0.001]. CONCLUSION: The presence of T2D and high levels of FPG are independent risk factors for daytime sleepiness and adversely affect sleep quality. Prospective studies addressed to demonstrate whether glycemia optimization could improve the sleep quality in T2D patients seem warranted. Public Library of Science 2016-06-17 /pmc/articles/PMC4912108/ /pubmed/27315083 http://dx.doi.org/10.1371/journal.pone.0157579 Text en © 2016 Lecube et al 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 author and source are credited. |
spellingShingle | Research Article Lecube, Albert Sánchez, Enric Gómez-Peralta, Fernando Abreu, Cristina Valls, Joan Mestre, Olga Romero, Odile Martínez, María Dolores Sampol, Gabriel Ciudin, Andreea Hernández, Cristina Simó, Rafael Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study |
title | Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study |
title_full | Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study |
title_fullStr | Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study |
title_full_unstemmed | Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study |
title_short | Global Assessment of the Impact of Type 2 Diabetes on Sleep through Specific Questionnaires. A Case-Control Study |
title_sort | global assessment of the impact of type 2 diabetes on sleep through specific questionnaires. a case-control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912108/ https://www.ncbi.nlm.nih.gov/pubmed/27315083 http://dx.doi.org/10.1371/journal.pone.0157579 |
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