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1.
An. sist. sanit. Navar ; 41(3): 329-338, sept.-dic. 2018. tab
Article in Spanish | IBECS | ID: ibc-179081

ABSTRACT

Fundamento: Determinar la prevalencia de somnolencia diurna excesiva (SDE) mediante la escala de somnolencia de Epworth (ESE), e identificar qué variables personales o del puesto de trabajo predicen el riesgo de sufrir SDE. Materiales y métodos: Estudio transversal realizado en 476 funcionarios de la Región de Murcia (octubre 2013-febrero 2016). La prevalencia de SDE y de mala higiene del sueño (MHS) se obtuvo de las puntuaciones de la ESE y del cuestionario de higiene del sueño (EHS), y se relacionaron con distintas variables recogidas mediante un cuestionario auto-administrado. Las variables predictoras de SDE se identificaron mediante regresión logística multivariante. Resultados: La prevalencia de SDE (16,7%) fue inferior a la de MHS (23,4%). Las mujeres obtuvieron mayores puntuaciones en la ESE (7,5 vs 6,3; p=0,001) y sufrían el doble de SDE (23,0 vs 10,7%, p<0,001). Los funcionarios con SDE obtuvieron puntuaciones más altas en la ESE (34,3 vs 32,7; p=0,044) y mostraban más MHS (38,7 vs 24,9%, p=0,014). Entre los fumadores predominaron las mujeres (57%; p=0,087) y la MHS (50,0% vs 25,8 en exfumadores y 18,9 en nunca fumadores, p<0,001). Ser mujer (OR=2,5, IC95%: 1,4-4,3; p<0,001) y tener mala higiene del sueño (OR=1,8, IC95%: 1,0-3,2; p=0,032) fueron factores predictores independientes de padecer SDE. Conclusiones: La SDE está presente en los funcionarios de la comunidad autónoma de Murcia y es más frecuente en mujeres. Ser mujer y tener mala higiene del sueño son predictores de padecer SDE


Background: To calculate the prevalence of excessive daytime sleepiness (EDS) (through the Epworth Sleepiness Scale, ESE) and to identify the personal and working variables predicting the risk of EDS. Methods: Cross-sectional study performed on 476 civil servants from Murcia (October 2013 - February 2016). Prevalence of EDS and bad sleep hygiene (LSH) were determined from scores on the Epworth Sleepiness Scale and Sleep Hygiene Scale (SHS), respectively, and their association with different variables was obtained from a self-administered questionnaire. Independent predictors of EDS were identified by multivariate logistic regression. Results: EDS was less prevalent (16.7%) than LSH (23.4%). Women scored higher in ESE (7.5 vs 6.3; p=0,001) and suffered twice the EDS of men (23.0 vs 10.7%, p<0.001). Workers with EDS scored higher on SHS (34.3 vs 32.7; p=0.044) and had LSH more frequently (38.7 vs 24.9%, p=0.014). Smokers were predominantly women (57.0%; p=0.087) with LSH (50.0 vs 25.8 and 18.9% amongst ex-smokers and non-smokers, p<0.001). Being a woman OR=2.5, 95%IC: 1.4-4.3; p<0.001) and having bad sleep hygiene (OR=1.8 95%IC: 1.0-3.2, p=0.032) were predictive factors irrespective of suffering from EDS. Conclusions: EDS was present in civil servants in the region of Murcia, and was higher in women than men. Excessive daytime sleepiness is strongly associated with bad sleep hygiene and became a woman


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Disorders of Excessive Somnolence/epidemiology , Sleep Hygiene , Workplace/statistics & numerical data , Disorders of Excessive Somnolence/diagnosis , Cross-Sectional Studies , Logistic Models , Multivariate Analysis , Tobacco Use Disorder , Surveys and Questionnaires , Analysis of Variance
2.
An Sist Sanit Navar ; 41(3): 329-338, 2018 Dec 26.
Article in Spanish | MEDLINE | ID: mdl-30425386

ABSTRACT

BACKGROUND: To calculate the prevalence of excessive daytime sleepiness (EDS) (through the Epworth Sleepiness Scale, ESE) and to identify the personal and working variables predicting the risk of EDS. METHODS: Cross-sectional study performed on 476 civil servants from Murcia (October 2013 - February 2016). Prevalence of EDS and bad sleep hygiene (LSH) were determined from scores on the Epworth Sleepiness Scale and Sleep Hygiene Scale (SHS), respectively, and their association with different variables was obtained from a self-administered questionnaire. Independent predictors of EDS were identified by multivariate logistic regression. RESULTS: EDS was less prevalent (16.7%) than LSH (23.4%). Women scored higher in ESE (7.5 vs 6.3; p=0,001) and suffered twice the EDS of men (23.0 vs 10.7%, p<0.001). Workers with EDS scored higher on SHS (34.3 vs 32.7; p=0.044) and had LSH more frequently (38.7 vs 24.9%, p=0.014). Smokers were predominantly women (57.0%; p=0.087) with LSH (50.0 vs 25.8 and 18.9% amongst ex-smokers and non-smokers, p<0.001). Being a woman OR=2.5, 95%IC: 1.4-4.3; p<0.001) and having bad sleep hygiene (OR=1.8 95%IC: 1.0-3.2, p=0.032) were predictive factors irrespective of suffering from EDS. CONCLUSIONS: EDS was present in civil servants in the region of Murcia, and was higher in women than men. Excessive daytime sleepiness is strongly associated with bad sleep hygiene and became a woman.


Subject(s)
Disorders of Excessive Somnolence/epidemiology , Sleep Hygiene , Adult , Aged , Cross-Sectional Studies , Humans , Middle Aged , Occupations , Risk Assessment , Risk Factors , Self Report , Sex Distribution , Spain/epidemiology
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