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Thorarinsdottir EH, Pack AI, Gislason T, Kuna ST, Penzel T, Yun Li Q, Cistulli PA, Magalang UJ, McArdle N, Singh B, Janson C, Aspelund T, Younes M, de Chazal P, Tufik S, Keenan BT. Polysomnographic characteristics of excessive daytime sleepiness phenotypes in obstructive sleep apnea: results from the international sleep apnea global interdisciplinary consortium. Sleep 2024; 47:zsae035. [PMID: 38315511 DOI: 10.1093/sleep/zsae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 01/08/2024] [Indexed: 02/07/2024] Open
Abstract
STUDY OBJECTIVES Excessive daytime sleepiness (EDS) is a major symptom of obstructive sleep apnea (OSA). Traditional polysomnographic (PSG) measures only partially explain EDS in OSA. This study analyzed traditional and novel PSG characteristics of two different measures of EDS among patients with OSA. METHODS Sleepiness was assessed using the Epworth Sleepiness Scale (>10 points defined as "risk of dozing") and a measure of general sleepiness (feeling sleepy ≥ 3 times/week defined as "feeling sleepy"). Four sleepiness phenotypes were identified: "non-sleepy," "risk of dozing only," "feeling sleepy only," and "both at risk of dozing and feeling sleepy." RESULTS Altogether, 2083 patients with OSA (69% male) with an apnea-hypopnea index (AHI) ≥ 5 events/hour were studied; 46% were "non-sleepy," 26% at "risk of dozing only," 7% were "feeling sleepy only," and 21% reported both. The two phenotypes at "risk of dozing" had higher AHI, more severe hypoxemia (as measured by oxygen desaturation index, minimum and average oxygen saturation [SpO2], time spent < 90% SpO2, and hypoxic impacts) and they spent less time awake, had shorter sleep latency, and higher heart rate response to arousals than "non-sleepy" and "feeling sleepy only" phenotypes. While statistically significant, effect sizes were small. Sleep stages, frequency of arousals, wake after sleep onset and limb movement did not differ between sleepiness phenotypes after adjusting for confounders. CONCLUSIONS In a large international group of patients with OSA, PSG characteristics were weakly associated with EDS. The physiological measures differed among individuals characterized as "risk of dozing" or "non-sleepy," while "feeling sleepy only" did not differ from "non-sleepy" individuals.
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Affiliation(s)
- Elin H Thorarinsdottir
- Primary Health Care of the Capital Area, Department of Family Medicine, Reykjavik, Iceland
- Faculty of Medicine, Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thorarinn Gislason
- Faculty of Medicine, Department of Medicine, University of Iceland, Reykjavik, Iceland
- Sleep Department, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Samuel T Kuna
- Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany
| | - Qing Yun Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peter A Cistulli
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Australia
| | - Ulysses J Magalang
- Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Nigel McArdle
- Western Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Bhajan Singh
- Western Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Thor Aspelund
- Faculty of Medicine, Department of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Magdy Younes
- Sleep disorders center, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Philip de Chazal
- Charles Perkins Centre, Faculty of Engineering, University of Sydney, Sydney, Australia
| | - Sergio Tufik
- Department of Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Brendan T Keenan
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Jin CX, Sutherland K, Gislason T, Thorarinsdottir EH, Bittencourt L, Tufik S, Singh B, McArdle N, Cistulli P, Bin YS. Influence of social jetlag on daytime sleepiness in obstructive sleep apnea. J Sleep Res 2022; 32:e13772. [PMID: 36345137 DOI: 10.1111/jsr.13772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/14/2022] [Accepted: 10/05/2022] [Indexed: 11/11/2022]
Abstract
Social jetlag is the discrepancy between socially determined sleep timing on workdays and biologically determined sleep timing on days free of social obligation. Poor circadian timing of sleep may worsen sleep quality and increase daytime sleepiness in obstructive sleep apnea (OSA). We analysed de-identified data from 2,061 participants (75.2% male, mean [SD] age 48.6 [13.4] years) who completed Sleep Apnea Global Interdisciplinary Consortium (SAGIC) research questionnaires and underwent polysomnography at 11 international sleep clinic sites. Social jetlag was calculated as the absolute difference in the midpoints of sleep between weekdays and weekends. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). Linear regression analyses were performed to estimate the association between social jetlag and daytime sleepiness, with consideration of age, sex, body mass index, ethnicity, insomnia, alcohol consumption, and habitual sleep duration as confounders. Of the participants, 61.5% had <1 h of social jetlag, 27.5% had 1 to <2 h, and 11.1% had ≥2 h. Compared to those with <1 h of social jetlag, those with ≥2 h of social jetlag had 2.07 points higher ESS (95% confidence interval [CI] 0.77-3.38, p = 0.002), and those with 1 to <2 h of social jetlag had 0.80 points higher ESS (95% CI 0.04-1.55, p = 0.04) after adjustment for potential confounding. Interaction with OSA severity was observed; social jetlag appeared to have the greatest effect on daytime sleepiness in mild OSA. As social jetlag exacerbates daytime sleepiness in OSA, improving sleep timing may be a simple but novel therapeutic target for reducing the impact of OSA.
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Affiliation(s)
- Charley Ximing Jin
- Sleep Research Group, Charles Perkins Centre University of Sydney Camperdown New South Wales Australia
| | - Kate Sutherland
- Sleep Research Group, Charles Perkins Centre University of Sydney Camperdown New South Wales Australia
- Department of Respiratory and Sleep Medicine Royal North Shore Hospital Camperdown New South Wales Australia
| | - Thorarinn Gislason
- Faculty of Medicine University of Iceland Reykjavik Iceland
- Department of Sleep Landspitali University Hospital Reykjavik Iceland
| | - Elin Helga Thorarinsdottir
- Faculty of Medicine University of Iceland Reykjavik Iceland
- Primary Health Care of the Capital Area Reykjavik Iceland
| | | | - Sergio Tufik
- Universidade Federal de São Paulo São Paulo Brazil
| | - Bhajan Singh
- Department of Pulmonary Physiology and Sleep Medicine West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital Nedlands Western Australia Australia
- Faculty of Human Sciences University of Western Australia Crawley Western Australia Australia
| | - Nigel McArdle
- Department of Pulmonary Physiology and Sleep Medicine West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital Nedlands Western Australia Australia
- Faculty of Human Sciences University of Western Australia Crawley Western Australia Australia
| | - Peter Cistulli
- Sleep Research Group, Charles Perkins Centre University of Sydney Camperdown New South Wales Australia
- Department of Respiratory and Sleep Medicine Royal North Shore Hospital Camperdown New South Wales Australia
| | - Yu Sun Bin
- Sleep Research Group, Charles Perkins Centre University of Sydney Camperdown New South Wales Australia
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Lang X, Wang Q, Huang S, Feng D, Ding F, Wang W. Relations among perceived stress, fatigue, and sleepiness, and their effects on the ambulatory arterial stiffness index in medical staff: A cross-sectional study. Front Psychol 2022; 13:1010647. [PMID: 36389608 PMCID: PMC9652142 DOI: 10.3389/fpsyg.2022.1010647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/13/2022] [Indexed: 01/24/2023] Open
Abstract
Objective To explore the relations among perceived stress, fatigue, sleepiness, and the pathway of their effects on the ambulatory arterial stiffness index (AASI) among medical staff. Methods This cross-sectional study was conducted at a tertiary hospital in Wuhan, China. Perceived stress, fatigue, and sleepiness were measured using the perceived stress scale (PSS), Fatigue assessment scale (FAS), and Epworth Sleepiness Scale (ESS), respectively. AASI was obtained from 24-h ambulatory blood pressure monitoring. Path analysis was used to clarify the relations among the PSS, FAS, and ESS scores, and their relations to AASI values. Results A total of 153 participants were included herein. The PSS and FAS correlated with the ESS (r = 0.424, p < 0.001), and the PSS correlated with the FAS (r = 0.614, p < 0.001). In addition, the ESS correlated with the AASI (r = 0.225, p = 0.005). According to the path analysis results, the PSS and FAS had no direct effect on the AASI, but did have an indirect effect on this index (β = 0.059, 95% confidence interval [CI] = 0.017-0.128, p = 0.005; β = 0.059, 95%CI = 0.016-0.135, p = 0.006, respectively) by influencing the ESS (β = 0.263, β = 0.262, p = 0.004). Conclusion Sleepiness was a mediator of the effects of perceived stress and fatigue on AASI.
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Affiliation(s)
- Xiaorong Lang
- School of Nursing, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China,Tongji Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Quan Wang
- School of Nursing, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China,Tongji Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Sufang Huang
- Tongji Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Sufang Huang,
| | - Danni Feng
- School of Nursing, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Fengfei Ding
- Department of Pharmacology, Fudan University Basic Medicine College, Shanghai, China
| | - Wei Wang
- Tongji Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
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