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Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis

BACKGROUND: Shift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergenc...

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Autores principales: Huang, Garry, Lee, Tso-Ying, Banda, Kondwani Joseph, Pien, Li-Chung, Jen, Hsiu-Ju, Chen, Ruey, Liu, Doresses, Hsiao, Shu-Tai Shen, Chou, Kuei-Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585923/
https://www.ncbi.nlm.nih.gov/pubmed/36269052
http://dx.doi.org/10.7189/jogh.12.04092
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author Huang, Garry
Lee, Tso-Ying
Banda, Kondwani Joseph
Pien, Li-Chung
Jen, Hsiu-Ju
Chen, Ruey
Liu, Doresses
Hsiao, Shu-Tai Shen
Chou, Kuei-Ru
author_facet Huang, Garry
Lee, Tso-Ying
Banda, Kondwani Joseph
Pien, Li-Chung
Jen, Hsiu-Ju
Chen, Ruey
Liu, Doresses
Hsiao, Shu-Tai Shen
Chou, Kuei-Ru
author_sort Huang, Garry
collection PubMed
description BACKGROUND: Shift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies. METHODS: We searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ(2), and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables. RESULTS: Twenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS. CONCLUSIONS: This meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD.
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spelling pubmed-95859232022-10-28 Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis Huang, Garry Lee, Tso-Ying Banda, Kondwani Joseph Pien, Li-Chung Jen, Hsiu-Ju Chen, Ruey Liu, Doresses Hsiao, Shu-Tai Shen Chou, Kuei-Ru J Glob Health Articles BACKGROUND: Shift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies. METHODS: We searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ(2), and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables. RESULTS: Twenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS. CONCLUSIONS: This meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD. International Society of Global Health 2022-10-20 /pmc/articles/PMC9585923/ /pubmed/36269052 http://dx.doi.org/10.7189/jogh.12.04092 Text en Copyright © 2022 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Huang, Garry
Lee, Tso-Ying
Banda, Kondwani Joseph
Pien, Li-Chung
Jen, Hsiu-Ju
Chen, Ruey
Liu, Doresses
Hsiao, Shu-Tai Shen
Chou, Kuei-Ru
Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis
title Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis
title_full Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis
title_fullStr Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis
title_full_unstemmed Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis
title_short Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis
title_sort prevalence of sleep disorders among first responders for medical emergencies: a meta-analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585923/
https://www.ncbi.nlm.nih.gov/pubmed/36269052
http://dx.doi.org/10.7189/jogh.12.04092
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