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dc.contributor.authorLecube Torelló, Albert
dc.contributor.authorSánchez Peña, Enric
dc.contributor.authorGómez Peralta, Fernando
dc.contributor.authorAbreu, Cristina
dc.contributor.authorValls Marsal, Joan
dc.contributor.authorMestre, Olga
dc.contributor.authorRomero, Odile
dc.contributor.authorMartínez González, María Dolores
dc.contributor.authorSampol, Gabriel
dc.contributor.authorCiudin, Andreea
dc.contributor.authorHernández, Cristina
dc.contributor.authorSimó, Rafael
dc.date.accessioned2016-07-12T10:03:38Z
dc.date.available2016-07-12T10:03:38Z
dc.date.issued2016
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10459.1/57448
dc.description.abstractType 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.ca_ES
dc.description.sponsorshipThis work was supported by grants from de Instituto de Salud Carlos III ISCIII (Fondo de Investigación Sanitaria, FI12/00803), European Union (European Regional Development Fund, Fondo Europeo de Desarrollo Regional, FEDER, “Una manera de hacer Europa”), and Fundación Sociedad Española Endocrinología y Nutrición (FSEEN). CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) and CIBER de Enfermedades Respiratorias (CIBERES) are an initiative of the Instituto Carlos III.ca_ES
dc.language.isoengca_ES
dc.publisherPublic Library of Scienceca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1371/journal.pone.0157579ca_ES
dc.relation.ispartofPlos One, 2016, vol. 11, núm. 6, e0157579ca_ES
dc.relation.isreferencedbyhttp://hdl.handle.net/10459.1/57632
dc.rightscc-by (c) Lecube Torelló, Albert et al., 2016ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleGlobal assessment of the impact of type 2 diabetes on sleep through specific questionnaires. A case-control studyca_ES
dc.typearticleca_ES
dc.identifier.idgrec024408
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0157579


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cc-by (c) Lecube Torelló, Albert et al., 2016
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