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Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period

Excessive daytime sleepiness (EDS) is a common problem in general the Canadian population. It can effect day-to-day activities and is also associated with several health issues. This study aimed to investigate the association between co-morbidities and the prevalence of EDS over a four-year period i...

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Autores principales: Karunanayake, Chandima, Dosman, James, Fenton, Mark, Rennie, Donna, Kirychuk, Shelley, Ramsden, Vivian, Seeseequasis, Jeremy, Abonyi, Sylvia, Pahwa, Punam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445813/
https://www.ncbi.nlm.nih.gov/pubmed/33089180
http://dx.doi.org/10.3390/clockssleep1040035
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author Karunanayake, Chandima
Dosman, James
Fenton, Mark
Rennie, Donna
Kirychuk, Shelley
Ramsden, Vivian
Seeseequasis, Jeremy
Abonyi, Sylvia
Pahwa, Punam
author_facet Karunanayake, Chandima
Dosman, James
Fenton, Mark
Rennie, Donna
Kirychuk, Shelley
Ramsden, Vivian
Seeseequasis, Jeremy
Abonyi, Sylvia
Pahwa, Punam
author_sort Karunanayake, Chandima
collection PubMed
description Excessive daytime sleepiness (EDS) is a common problem in general the Canadian population. It can effect day-to-day activities and is also associated with several health issues. This study aimed to investigate the association between co-morbidities and the prevalence of EDS over a four-year period in adults living in two First Nation communities. Data collected during the First Nations Lung Health Project (FNLHP) conducted in two Cree First Nation communities in Saskatchewan in 2012–2013 (Cycle 1) and 2016 (Cycle 2) were used for this analysis. There were 859 participants aged 18 years and older at baseline (Cycle 1) and 821 participants aged 18 years and older at follow-up (Cycle 2) who completed the interviewer-administered questionnaire. An Epworth Sleepiness Scale (ESS) score > 10 was considered to be abnormal and identified as a case of EDS at both time points. A multilevel logistic regression model using a generalized estimating equations approach was used to analyze the data. The prevalence of EDS at baseline (Cycle 1) was 11.2% (91/815) and 10.0% (80/803) at follow-up (Cycle 2). Based on the predicted model, longitudinal change in the prevalence of EDS was −0.11% for 358 individuals who participated in both cycles. There were 49% males at baseline and 48% males at follow-up. Multivariate regression model results revealed that crowding, shortness of breath, loud snoring, chronic lung disease, depression and gastric reflux were the main significant predictors of EDS. In addition, the interaction between sex and age was significant. Some of the co-morbid conditions were associated with EDS. Therefore, managing such conditions requires considerations in strategies to decrease the prevalence of daytime sleepiness.
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spelling pubmed-74458132020-10-20 Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period Karunanayake, Chandima Dosman, James Fenton, Mark Rennie, Donna Kirychuk, Shelley Ramsden, Vivian Seeseequasis, Jeremy Abonyi, Sylvia Pahwa, Punam Clocks Sleep Article Excessive daytime sleepiness (EDS) is a common problem in general the Canadian population. It can effect day-to-day activities and is also associated with several health issues. This study aimed to investigate the association between co-morbidities and the prevalence of EDS over a four-year period in adults living in two First Nation communities. Data collected during the First Nations Lung Health Project (FNLHP) conducted in two Cree First Nation communities in Saskatchewan in 2012–2013 (Cycle 1) and 2016 (Cycle 2) were used for this analysis. There were 859 participants aged 18 years and older at baseline (Cycle 1) and 821 participants aged 18 years and older at follow-up (Cycle 2) who completed the interviewer-administered questionnaire. An Epworth Sleepiness Scale (ESS) score > 10 was considered to be abnormal and identified as a case of EDS at both time points. A multilevel logistic regression model using a generalized estimating equations approach was used to analyze the data. The prevalence of EDS at baseline (Cycle 1) was 11.2% (91/815) and 10.0% (80/803) at follow-up (Cycle 2). Based on the predicted model, longitudinal change in the prevalence of EDS was −0.11% for 358 individuals who participated in both cycles. There were 49% males at baseline and 48% males at follow-up. Multivariate regression model results revealed that crowding, shortness of breath, loud snoring, chronic lung disease, depression and gastric reflux were the main significant predictors of EDS. In addition, the interaction between sex and age was significant. Some of the co-morbid conditions were associated with EDS. Therefore, managing such conditions requires considerations in strategies to decrease the prevalence of daytime sleepiness. MDPI 2019-09-22 /pmc/articles/PMC7445813/ /pubmed/33089180 http://dx.doi.org/10.3390/clockssleep1040035 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Karunanayake, Chandima
Dosman, James
Fenton, Mark
Rennie, Donna
Kirychuk, Shelley
Ramsden, Vivian
Seeseequasis, Jeremy
Abonyi, Sylvia
Pahwa, Punam
Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period
title Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period
title_full Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period
title_fullStr Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period
title_full_unstemmed Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period
title_short Association between Co-Morbidities and the Prevalence of Excessive Daytime Sleepiness over a Four-Year Period
title_sort association between co-morbidities and the prevalence of excessive daytime sleepiness over a four-year period
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445813/
https://www.ncbi.nlm.nih.gov/pubmed/33089180
http://dx.doi.org/10.3390/clockssleep1040035
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