Global assessment of the impact of type 2 diabetes on sleep through specific questionnaires. A case-control study

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2016
Author
Lecube Torelló, Albert
Sánchez Peña, Enric
Gómez Peralta, Fernando
Abreu, Cristina
Valls Marsal, Joan
Mestre, Olga
Romero, Odile
Martínez González, María Dolores
Sampol, Gabriel
Ciudin, Andreea
Hernández, Cristina
Simó, Rafael
Suggested citation
Lecube Torelló, Albert; Sánchez Peña, Enric; Gómez Peralta, Fernando; Abreu, Cristina; Valls Marsal, Joan; Mestre, Olga; ... Simó, Rafael. (2016) . Global assessment of the impact of type 2 diabetes on sleep through specific questionnaires. A case-control study. Plos One, 2016, vol. 11, núm. 6, e0157579. https://doi.org/10.1371/journal.pone.0157579.
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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.
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http://hdl.handle.net/10459.1/57632
URI
http://hdl.handle.net/10459.1/57448
DOI
https://doi.org/10.1371/journal.pone.0157579
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Plos One, 2016, vol. 11, núm. 6, e0157579
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