Specific insomnia symptoms and self-efficacy explain CPAP compliance in a sample of OSAS patients.

Pierre Philip, Stéphanie Bioulac, Elemarije Altena, Charles M. Morin, Imad Ghorayeb, Olivier Coste, Pierre-Jean Monteyrol, Jean-Arthur Micoulaud-Franchi
PLoS ONE. 2018-04-04; 13(4): e0195343
DOI: 10.1371/journal.pone.0195343

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1. PLoS One. 2018 Apr 4;13(4):e0195343. doi: 10.1371/journal.pone.0195343.
eCollection 2018.

Specific insomnia symptoms and self-efficacy explain CPAP compliance in a sample
of OSAS patients.

Philip P(1)(2)(3), Bioulac S(1)(2)(3), Altena E(2)(3), Morin CM(4), Ghorayeb
I(1)(5)(6), Coste O(1), Monteyrol PJ(1), Micoulaud-Franchi JA(1)(2)(3).

Author information:
(1)Clinique du Sommeil, Service d’Explorations Fonctionnelles du Système Nerveux,
CHU de Bordeaux, Bordeaux, France.
(2)Univ. Bordeaux, SANPSY, Bordeaux, France.
(3)CNRS, SANPSY, Bordeaux, France.
(4)Université Laval, 2325, rue de l’Université, QC G1V 0A6 Québec, Canada et
Centre de recherche CERVO, Institut universitaire en santé mentale de Québec,
Québec, Canada.
(5)CNRS, Institut de Neurosciences Cognitives et Intégratives d’Aquitaine,
Bordeaux, France.
(6)Université de Bordeaux, Institut de Neurosciences Cognitives et Intégratives
d’Aquitaine, Bordeaux, France.

This study explores the association between specific insomnia symptoms (sleep
onset, sleep maintenance and early morning awakenings symptoms) and self-efficacy
(perceived self-confidence in the ability to use CPAP) with CPAP compliance in
French patients with obstructive sleep apnea syndrome (OSAS). We performed a
retrospective, cross-sectional analysis of CPAP compliance in a cohort of 404
patients diagnosed with OSAS. Patients completed mailed questionnaires on
sleepiness (ESS), insomnia (ISI) and self-efficacy in sleep apnea (SEMSA). Linear
regression modeling analyses were performed to explore the impact of measured
variables on the number of hours of CPAP use. Of the initial pool of 404
patients, 288 returned the questionnaires (71% response rate). Their mean age was
63.16±12.73 yrs, 31% were females, mean BMI was 30.39±6.31 kg/m2, mean daily CPAP
use was 6.19±2.03 h, mean number of years of use was 6.58±6.03 yrs, and mean
initial AHI before CPAP use was 34.61±20.71 /h. Age (p


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