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Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis
Open accessAbstract
BACKGROUND: There is a scarcity of published data on the global prevalence of obstructive sleep apnoea, a disorder associated with major neurocognitive and cardiovascular sequelae. We used publicly available data and contacted key opinion leaders to estimate the global prevalence of obstructive sleep apnoea. METHODS: We searched PubMed and Embase to identify published studies reporting the prevalence of obstructive sleep apnoea based on objective testing methods. A conversion algorithm was created for studies that did not use the American Academy of Sleep Medicine (AASM) 2012 scoring criteria to identify obstructive sleep apnoea, allowing determination of an equivalent apnoea-hypopnoea index (AHI) for publications that used different criteria. The presence of symptoms was not specifically analysed because of scarce information about symptoms in the reference studies and population data. Prevalence estimates for obstructive sleep apnoea across studies using different diagnostic criteria were standardised with a newly developed algorithm. Countries without obstructive sleep apnoea prevalence data were matched to a similar country with available prevalence data; population similarity was based on the population body-mass index, race, and geographical proximity. The primary outcome was prevalence of obstructive sleep apnoea based on AASM 2012 diagnostic criteria in individuals aged 30-69 years (as this age group generally had available data in the published studies and related to information from the UN for all countries). FINDINGS: Reliable prevalence data for obstructive sleep apnoea were available for 16 countries, from 17 studies. Using AASM 2012 diagnostic criteria and AHI threshold values of five or more events per h and 15 or more events per h, we estimated that 936 million (95% CI 903-970) adults aged 30-69 years (men and women) have mild to severe obstructive sleep apnoea and 425 million (399-450) adults aged 30-69 years have moderate to severe obstructive sleep apnoea globally. The number of affected individuals was highest in China, followed by the USA, Brazil, and India. INTERPRETATION: To our knowledge, this is the first study to report global prevalence of obstructive sleep apnoea; with almost 1 billion people affected, and with prevalence exceeding 50% in some countries, effective diagnostic and treatment strategies are needed to minimise the negative health impacts and to maximise cost-effectiveness. FUNDING: ResMed.
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“Using rates of obesity, race/ethnicity data, age, and regional prevalence data, it has been estimated that nearly one billion people have OSA worldwide, of which the vast majority is undiagnosed.98”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [98]
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“Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder that affects approximately 25% of adults in the US and similar amounts in other high-income countries, although estimates vary depending on its definition (Gottlieb & Punjabi, 2020;Benjafield et al., 2019).”
From Effects of mindfulness meditation and Acceptance and commitment therapy in patients with obstructive sleep apnea with residual excessive sleepiness: A randomized controlled pilot study (2023) · cites this paper as Benjafield et al., 2019
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“The high global prevalence of OSA (Benjafield et al., 2019) represents a challenge for diagnosis as the current “gold standard” diagnostic test is PSG in a sleep laboratory, which is labour intensive and expensive (Kapur et al., 2017).”
From Obstructive sleep apnea: transition from pathophysiology to an integrative disease model (2022) · cites this paper as Benjafield et al., 2019
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“It was estimated that, globally, 936 million men and women of the considered age group have at least mild OSA and 425 million have moderate‐to‐severe OSA.”
From Obstructive sleep apnea: transition from pathophysiology to an integrative disease model (2022) · cites this paper as Benjafield et al., 2019
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Abarca-Gómez, L., Abdeen, Z. A., Hamid, Z. A., Abu-Rmeileh, N. M., Acosta-Cazares, B., Acuin, C., Adams, R. J., Aekplakorn, W., Afsana, K., Aguilar-Salinas, C. A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32129-3 · Cited by 7,482
(2007) · Cited by 6,530
Berry, R. B., Budhiraja, R., Gottlieb, D. J., Gozal, D., Iber, C., Kapur, V. K., Marcus, C. L., Mehra, R., Parthasarathy, S., Quan, S. F., et al. (2012) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.2172 · Cited by 5,302
The International Classification of Sleep Disorders
Daroff, R. B. (1991) · Neurology · doi:10.1212/wnl.41.1.160 · Cited by 5,023
Increased Prevalence of Sleep-Disordered Breathing in Adults
Peppard, P. E., Young, T., Barnet, J. H., Palta, M., Hagen, E. W., & Hla, K. M. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws342 · Cited by 4,618
Self-citationEpidemiology of Obstructive Sleep Apnea: A Population Health Perspective
Young, T., Peppard, P. E., & Gottlieb, D. J. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2109080 · Cited by 4,244
Self-citationMcNicholas, W. T., Strohl, K. P., White, D. P., Levy, P. A., Schmidt, W., Wheatley, J. R., Redline, S. S., Carley, D. W., Buysse, D. J., Young, T. B., et al. (1999) · PubMed · Cited by 3,665
Adult Obstructive Sleep Apnea Task Force of the American Academy of Sleep Medicine, Epstein, L. J., Kristo, D., Strollo, P. J., Friedman, N., Malhotra, A., Patil, S. P., Ramar, K., Rogers, R., Schwab, R. J., et al. (2009) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.27497 · Cited by 3,360
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Olshansky, S. J., Passaro, D. J., Hershow, R. C., Layden, J., Carnes, B. A., Brody, J., Hayflick, L., Butler, R. N., Allison, D. B., & Ludwig, D. S. (2005) · New England Journal of Medicine · doi:10.1056/nejmsr043743 · Cited by 2,612
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Items 101–200 of 1,003
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Self-citationKlum, M., Urban, M., Tigges, T., Pielmus, A.-G., Feldheiser, A., Schmitt, T., & Orglmeister, R. (2020) · Sensors · doi:10.3390/s20072033 · Cited by 75
Big Data in sleep apnoea: Opportunities and challenges
Pépin, J., Bailly, S., & Tamisier, R. (2019) · Respirology · doi:10.1111/resp.13669 · Cited by 84
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Feltner, C., Wallace, I., Aymes, S. E., Middleton, J. C., Hicks, K. L., Coker-Schwimmer, M. J. L., Baker, C., Balio, C. P., Moore, D., Voisin, C. E., et al. (2022) · JAMA · doi:10.1001/jama.2022.18357 · Cited by 91
Kotzen, K., Charlton, P. H., Salabi, S., Amar, L., Landesberg, A., & Behar, J. A. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3225363 · Cited by 80
Pinilla, L., Esmaeili, N., Gonzalo Labarca, T., Martínez‐García, M. Á., Torres, G., Gràcia‐Lavedan, E., Mínguez, O., Martínez, D., Abad, J., Masdeu, M. J., et al. (2023) · European Respiratory Journal · doi:10.1183/13993003.00828-2023 · Cited by 94
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Beaudin, A. E., Raneri, J. K., Ayas, N., Skomro, R. P., Fox, N., Allen, A. J. M. H., Bowen, M. W., Nocon, A., Lynch, E. J., Wang, M., et al. (2020) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202004-313oc · Cited by 81
Self-citationBernhardt, L., Brady, E. M., Freeman, S. C., Polmann, H., Réus, J. C., Flores‐Mir, C., Canto, G. D. L., Robertson, N., & Squire, I. B. (2021) · Sleep And Breathing · doi:10.1007/s11325-021-02450-9 · Cited by 90
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Wang, R., Mihaicuta, S. D., Tiotiu, A. I., Corlăteanu, A., Ioan, I. C., & Bikov, A. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101564 · Cited by 77
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Bailly, S., Grote, L., Hedner, J., Schiza, S., McNicholas, W. T., Basoglu, O. K., Lombardi, C., Dogas, Z., Roisman, G., Pataka, A., et al. (2021) · Respirology · doi:10.1111/resp.13969 · Cited by 74
Self-citationA machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow
Álvarez, D., Cerezo-Hernández, A., Crespo, A., Gutiérrez‐Tobal, G. C., Vaquerizo-Villar, F., Barroso-García, V., Moreno, F., Domingo, C. A. A., Albi, T. R., Hornero, R., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-62223-4 · Cited by 75
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Bhattacharjee, R., Benjafield, A., Armitstead, J. P., Cistulli, P. A., Nuñez, C. M., Pépin, J., Woehrle, H., Yan, Y. T., & Malhotra, A. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30214-6 · Cited by 76
Self-citationLabarca, G., Dreyse, J., Salas, C., Letelier, F., & Jorquera, J. (2021) · Chest · doi:10.1016/j.chest.2021.06.047 · Cited by 75
Alterki, A., Abu‐Farha, M., Shawaf, E. A., Al‐Mulla, F., & Abubaker, J. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076807 · Cited by 79
Ryan, S., Cummins, E. P., Farré, R., Gileles‐Hillel, A., Jun, J. C., Oster, H., Pépin, J., Ray, D. W., Reutrakul, S., Sánchez‐de‐la‐Torre, M., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.02295-2019 · Cited by 74
Self-citationCritical Issues in Dental and Medical Management of Obstructive Sleep Apnea
Lavigne, G. J., Babiloni, A. H., Beetz, G., Fabbro, C. D., Sutherland, K., Huynh, N. T., & Cistulli, P. A. (2019) · Journal of Dental Research · doi:10.1177/0022034519885644 · Cited by 75
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Traaen, G. M., Øverland, B., Aakerøy, L., Hunt, T. E., Bendz, C., Sande, L., Aakhus, S., Zaré, H., Steinshamn, S., Anfinsen, O. G., et al. (2020) · IJC Heart & Vasculature · doi:10.1016/j.ijcha.2019.100447 · Cited by 71
Ioachimescu, O. C., Allam, J. S., Samarghandi, A., Anand, N., Fields, B. G., Dholakia, S. A., Venkateshiah, S. B., Eisenstein, R., Ciavatta, M.-M., Collop, N. A., et al. (2020) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.8620 · Cited by 71
Kim, D. H., Kim, B., Han, K., & Kim, S. W. (2021) · Scientific Reports · doi:10.1038/s41598-021-88233-4 · Cited by 76
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Qin, H., Steenbergen, N., Glos, M., Wessel, N., Kraemer, J. F., Vaquerizo-Villar, F., & Penzel, T. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.642333 · Cited by 75
Self-citationWang, F., Zou, J., Xu, H., Huang, W., Zhang, X., Wei, Z., Li, X., Liu, Y., Zou, J., Liu, F., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.820939 · Cited by 75
Arnaud, C., Billoir, E., de Melo, A. F., Pereira, S. A., O’Halloran, K. D., & Monteiro, E. C. (2023) · The Journal of Physiology · doi:10.1113/jp284166 · Cited by 96
Kadier, K., Dilixiati, D., Ainiwaer, A., Liu, X., Lu, J.-D., Liu, P., Ainiwan, M., Yesitayi, G., Ma, X., & Ma, Y.-T. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-05286-7 · Cited by 70
Kalevo, L., Miettinen, T., Leino, A., Kainulainen, S., Korkalainen, H., Myllymaa, K., Töyräs, J., Leppänen, T., Laitinen, T. M., & Myllymaa, S. (2020) · IEEE Access · doi:10.1109/access.2020.2977172 · Cited by 69
Obstructive Sleep Apnea–Induced Neurogenic Nocturnal Hypertension
Kario, K., Hettrick, D. A., Prejbisz, A., & Januszewicz, A. (2021) · Hypertension · doi:10.1161/hypertensionaha.120.16378 · Cited by 73
Nambiema, A., Lisan, Q., Vaucher, J., Perier, M., Boutouyrie, P., Danchin, N., Thomas, F., Guibout, C., Solelhac, G., Heinzer, R. C., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad657 · Cited by 70
Self-citationSleep Apnea Severity Estimation From Tracheal Movements Using a Deep Learning Model
Hafezi, M., Ghahjaverestan, N. M., Saha, S., Zhu, K., Gavrilović, B., Yadollahi, A., & Taati, B. (2020) · IEEE Access · doi:10.1109/access.2020.2969227 · Cited by 69
Screening for obstructive sleep apnea with novel hybrid acoustic smartphone app technology
Tiron, R., Lyon, G., Kilroy, H., Osman, A., Kelly, N., O’Mahony, N., Lopes, C., Coffey, S., McMahon, S. J., Wren, M. N., et al. (2020) · Journal of Thoracic Disease · doi:10.21037/jtd-20-804 · Cited by 66
Self-citationGeorgoulis, M., Yiannakouris, N., Kechribari, I., Lamprou, K., Perraki, E., Vagiakis, E., & Kontogianni, M. D. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.08.037 · Cited by 70
Randerath, W. J., Herkenrath, S. D., Treml, M., Grote, L., Hedner, J. A., Bonsignore, M. R., Pépin, J., Ryan, S., Schiza, S. E., Verbraecken, J. A., et al. (2021) · ERJ Open Research · doi:10.1183/23120541.00928-2020 · Cited by 68
Self-citationAmiri, S., Hasani, J., & Satkin, M. (2021) · Sleep Medicine · doi:10.1016/j.sleep.2021.05.013 · Cited by 69
Pi-ViMo: Physiology-inspired Robust Vital Sign Monitoring using mmWave Radars
Bo, Z., Jiang, B., Zheng, R., Zhang, X.-P. S., Li, J., & Xu, Q. (2023) · ACM Transactions on Internet of Things · doi:10.1145/3589347 · Cited by 67
Parekh, A., Kam, K., Wickramaratne, S., Tolbert, T. M., Varga, A. W., Osorio, R. S., Andersen, M. L., de Godoy, L. B. M., Palombini, L., Tufik, S. B., et al. (2023) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202301-0109oc · Cited by 67
Self-citationRotty, M.-C., Suehs, C., Mallet, J., Martínez, C., Borel, J., Rabec, C. A., Bertelli, F., BOURDIN, A. A., Molinari, N., & Jaffuel, D. (2021) · Respiratory Research · doi:10.1186/s12931-021-01618-x · Cited by 66
Novel avenues to approach non-CPAP therapy and implement comprehensive obstructive sleep apnoea care
Pépin, J., Eastwood, P. R., & Eckert, D. J. (2021) · European Respiratory Journal · doi:10.1183/13993003.01788-2021 · Cited by 70
Self-citationEnabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review
Ferreira‐Santos, D., Amorim, P., Martins, T. S., Monteiro‐Soares, M., & Rodrigues, P. P. (2022) · Journal of Medical Internet Research · doi:10.2196/39452 · Cited by 66
Sleep Apnea, Obesity, and Diabetes — an Intertwined Trio
Kurnool, S., McCowen, K. C., Bernstein, N., & Malhotra, A. (2023) · Current Diabetes Reports · doi:10.1007/s11892-023-01510-6 · Cited by 74
Self-citationPutative contributions of circadian clock and sleep in the context of SARS-CoV-2 infection
Cruz, M. G. M. E., Miyazawa, M., & Gozal, D. (2020) · European Respiratory Journal · doi:10.1183/13993003.01023-2020 · Cited by 64
Does obstructive sleep apnea lead to increased risk of COVID-19 infection and severity?
Tufik, S. B., Gozal, D., Ishikura, I. A., Pires, G. N., & Andersen, M. L. (2020) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.8596 · Cited by 65
Self-citationObstructive Sleep Apnea and Incident Cancer: A Large Retrospective Multicenter Clinical Cohort Study
Kendzerska, T., Povitz, M., Leung, R. S. T., Boulos, M. I., McIsaac, D. I., Murray, B. J., Bryson, G. L., Talarico, R., Hilton, J. F., Malhotra, A., et al. (2020) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-20-0975 · Cited by 71
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Wang, Y., Li, C. X., Lin, Y. N., Zhang, L. Y., Li, S. Q., Zhang, L., Yan, Y. R., Lu, F., Li, N., & Li, Q. Y. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.801689 · Cited by 65
Obstructive Sleep Apnea and the Brain: a Focus on Gray and White Matter Structure
Baril, A., Martineau‐Dussault, M., Sanchez, E., André, C., Thompson, C., Legault, J., & Gosselin, N. (2021) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-021-01094-2 · Cited by 70
Effects of Obstructive Sleep Apnea and CPAP on Cognitive Function
Seda, G., Matwiyoff, G. N., & Parrish, S. (2021) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-021-01123-0 · Cited by 67
Zacharias, H. U., Weihs, A., Habes, M., Wittfeld, K., Frenzel, S., Rashid, T., Stubbe, B., Obst, A., Szentkirályi, A., Bülow, R., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.28225 · Cited by 63
Self-citationHan, H.-W., & Oh, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-33170-7 · Cited by 73
Vaquerizo-Villar, F., Gutiérrez‐Tobal, G. C., Merino, E. C., Álvarez, D., Gozal, D., del Campo, F., Gozal, D., & Hornero, R. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107419 · Cited by 68
Korompili, G., Amfilochiou, A., Kokkalas, L., Mitilineos, S. Α., Tatlas, N., Kouvaras, M., Kastanakis, E., Maniou, C., & Potirakis, S. M. (2021) · Scientific Data · doi:10.1038/s41597-021-00977-w · Cited by 69
O’Donnell, C., Crilly, S., O'Mahony, A. M., O’Riordan, B., Traynor, M., Gitau, R., McDonald, K., Ledwidge, M. T., O'Shea, D. B., Murphy, D. J., et al. (2023) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202309-821oc · Cited by 68
Ramesh, J., Keeran, N., Sagahyroon, A. A., & Aloul, F. (2021) · Healthcare · doi:10.3390/healthcare9111450 · Cited by 63
Reynor, A., McArdle, N., Shenoy, B., Dhaliwal, S. S., Rea, S. C., Walsh, J. H., Eastwood, P. R., Maddison, K. J., Hillman, D. R., Ling, I., et al. (2021) · SLEEP · doi:10.1093/sleep/zsab264 · Cited by 63
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Sleep Apnea and Cardiovascular Risk in Patients with Prediabetes and Type 2 Diabetes
Paschou, S. Α., Bletsa, E., Saltiki, K., Kazakou, P., Kantreva, K., Katsaounou, P. A., Rovina, N., Trakada, G., Bakakos, P., Vlachopoulos, C. V., et al. (2022) · Nutrients · doi:10.3390/nu14234989 · Cited by 67
Systematic review and meta-analysis of the prevalence of obstructive sleep apnea in Indian adults
Suri, T. M., Ghosh, T., Mittal, S., Hadda, V., Madan, K., & Mohan, A. (2023) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2023.101829 · Cited by 66
Młynarska, E., Bojdo, K., Bulicz, A., Frankenstein, H., Gąsior, M., Kustosik, N., Rysz, J., & Franczyk, B. (2025) · Current Issues in Molecular Biology · doi:10.3390/cimb47100787 · Cited by 92
Huttunen, R., Leppänen, T., Duce, B., Arnardóttir, E. S., Nikkonen, S., Myllymaa, S., Töyräs, J., & Korkalainen, H. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3225268 · Cited by 59
The Sleep Revolution project: the concept and objectives
Arnardóttir, E. S., Íslind, A. S., Óskarsdóttir, M., Olafsdottir, K. A., August, E., Jónasdóttir, L., Hrubos‐Strøm, H., Saavedra, J. M., Grote, L., Hedner, J. A., et al. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13630 · Cited by 58
Kanclerska, J., Wieckiewicz, M. A., Nowacki, D., Szymańska–Chabowska, A., Poręba, R., Mazur, G. J., & Martynowicz, H. (2023) · Dental and Medical Problems · doi:10.17219/dmp/172243 · Cited by 65
A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea
Cao, W., Luo, J., & Xiao, Y. (2020) · Nature and Science of Sleep · doi:10.2147/nss.s275252 · Cited by 60
Hwang, M., Zhang, K., Nagappa, M., Saripella, A., Englesakis, M. F., & Chung, F. F. (2021) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2020-000848 · Cited by 71
Martínez-Cerón, E., Casitas, R., Galera, R., Sánchez-Sánchez, B., Zamarrón, E., García‐Sánchez, A., Oriol, A. J., Cubillos‐Zapata, C., & Rio, F. G. (2021) · Sleep Medicine · doi:10.1016/j.sleep.2021.05.012 · Cited by 59
Chen, Y., Wang, W., Guo, Y., Zhang, H., Chen, Y., & Xie, L. (2021) · Nature and Science of Sleep · doi:10.2147/nss.s323286 · Cited by 57
Li, Q., Xu, T., Shao, C., Gao, W., Wang, M., Dong, Y., Wang, X., Lu, F., Li, D., Tan, H., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-27784-0 · Cited by 62
High night-to-night variability in sleep apnea severity is associated with uncontrolled hypertension
Lechat, B., Loffler, K. A., Reynolds, A. C., Naik, G. R., Vakulin, A., Jennings, G., Escourrou, P., McEvoy, R. D., Adams, R., CATCHESIDE, P. G., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00801-2 · Cited by 61
Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data
Zhang, X., Xu, M., Li, Y., Su, M.-M., Xu, Z., Wang, C., Kang, D., Li, H., Mu, X., Xiu, D., et al. (2020) · Sleep And Breathing · doi:10.1007/s11325-019-02008-w · Cited by 57
Esmaeili, N., Gonzalo Labarca, T., Hu, W.-H., Vena, D., Messineo, L., Gell, L. K., Hajipour, M., Taranto‐Montemurro, L., Sands, S. A., Redline, S. S., et al. (2023) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202303-248oc · Cited by 57
Sleep medicine and COVID-19. Has a new era begun?
Voulgaris, A., Ferini-Strambi, L., & Steiropoulos, P. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.07.010 · Cited by 54
Huttunen, R., Leppänen, T., Duce, B., Oksenberg, A., Myllymaa, S., Töyräs, J., & Korkalainen, H. (2021) · SLEEP · doi:10.1093/sleep/zsab142 · Cited by 56
Zeng, X., Ren, Y., Wu, K., Yang, Q., Zhang, S., Wang, D., Luo, Y., & Zhang, N. (2022) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntac126 · Cited by 63
Effects of Exercise on Patients with Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis
Peng, J., Yuan, Y., Zhao, Y., & Ren, H. C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191710845 · Cited by 55
Lung Dysfunction and Chronic Kidney Disease: A Complex Network of Multiple Interactions
Gembillo, G., Calimeri, S., Tranchida, V., Silipigni, S., Vella, D., Ferrara, D., Spinella, C., Santoro, D., & Visconti, L. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13020286 · Cited by 65
Jen, R., Orr, J. E., Li, Y., DeYoung, P., Smales, E., Malhotra, A., & Owens, R. L. (2020) · COPD: Journal of Chronic Obstructive Pulmonary Disease · doi:10.1080/15412555.2019.1707789 · Cited by 53
Self-citationGeorgoulis, M., Yiannakouris, N., Kechribari, I., Lamprou, K., Perraki, E., Vagiakis, E., & Kontogianni, M. D. (2022) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.9834 · Cited by 56
Korkalainen, H., Leppänen, T., Duce, B., Kainulainen, S., Aakko, J., Leino, A., Kalevo, L., Afara, I. O., Myllymaa, S., & Töyräs, J. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3043507 · Cited by 60
Multi-night measurement for diagnosis and simplified monitoring of obstructive sleep apnoea
Lechat, B., Scott, H., Manners, J., Adams, R., Proctor, S., Mukherjee, S., CATCHESIDE, P. G., Eckert, D. J., Vakulin, A., & Reynolds, A. C. (2023) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2023.101843 · Cited by 58
Du, D., Zhang, G., Xu, D., Liu, L., Hu, X., Chen, L., Li, X., Shen, Y., & Wen, F. (2023) · Sleep Medicine · doi:10.1016/j.sleep.2023.10.034 · Cited by 61
Blanchard, M., Gervès‐Pinquié, C., Feuilloy, M., Vaillant, M. L., Trzépizur, W., Meslier, N., Paris, A., Pigeanne, T., Racineux, J.-L., Balusson, F., et al. (2021) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202009-1202oc · Cited by 53
Sleep and Delirium in Older Adults
Farasat, S., Dorsch, J. J., Pearce, A. K., Moore, A. A., Martin, J. L., Malhotra, A., & Kamdar, B. B. (2020) · Current Sleep Medicine Reports · doi:10.1007/s40675-020-00174-y · Cited by 55
Self-citationCamañes‐Gonzalvo, S., Bellot‐Arcís, C., Marco‐Pitarch, R., García‐Selva, M., Agustín‐Panadero, R., Paredes‐Gallardo, V., & Puertas, F. J. (2022) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2022.101644 · Cited by 53
Xu, H., Liu, F., Li, Z., Li, X., Liu, Y., Li, N., Zhang, X., Gao, Z., Zhang, X., Liu, Y., et al. (2022) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202109-2044oc · Cited by 51
Balagny, P., Vidal‐Petiot, E., Renuy, A., Matta, J., Frija‐Masson, J., Steg, P. G., Goldberg, M., Zins, M., d’Ortho, M., & Wiernik, E. (2023) · ERJ Open Research · doi:10.1183/23120541.00053-2023 · Cited by 55
Azarbarzin, A., Vena, D., Esmaeili, N., Wellman, A., Pinilla, L., Messineo, L., Zinchuk, A. V., Alex, R. M., Baumert, M., Loffler, K. A., et al. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf447 · Cited by 56
The Relationship between Simple Snoring and Sleep Bruxism: A Polysomnographic Study
Michałek-Zrąbkowska, M., Wieckiewicz, M. A., Macek, P., Gać, P., Smardz, J., Wojakowska, A., Poręba, R., Mazur, G. J., & Martynowicz, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17238960 · Cited by 59
Chung, F. F., Waseem, R., Pham, C., Penzel, T., Han, F., Bjorvatn, B., Morin, C. M., Holzinger, B., Espie, C. A., Benedict, C., et al. (2021) · Sleep And Breathing · doi:10.1007/s11325-021-02373-5 · Cited by 51
Self-citationSudden death in individuals with obstructive sleep apnoea: a systematic review and meta-analysis
Heilbrunn, E. S., Ssentongo, P., Chinchilli, V. M., Oh, J. S., & Ssentongo, A. E. (2021) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2020-000656 · Cited by 58
Yan, M., Hao, Q., Diao, S., Zhou, F., Chen, Y., Jiang, N., Zhao, C., Ren, X., Yu, F., Tong, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c09018 · Cited by 52
Oral Appliance Therapy for Obstructive Sleep Apnoea: State of the Art
Sutherland, K., & Cistulli, P. A. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122121 · Cited by 55
Sabil, A., Blanchard, M., Trzépizur, W., Goupil, F., Meslier, N., Paris, A., Pigeanne, T., Priou, P., Vaillant, M. L., Gagnadoux, F., et al. (2020) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.8752 · Cited by 52
Rosenberg, R. P., Schweitzer, P. K., Steier, J. S., & Pépin, J. (2021) · Postgraduate Medicine · doi:10.1080/00325481.2021.1948305 · Cited by 53
Self-citationAcoustic Screening for Obstructive Sleep Apnea in Home Environments Based on Deep Neural Networks
Romero, H. E., Ma, N., Brown, G. J., & Hill, E. A. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3154719 · Cited by 54
Campos, A. I., Ingold, N., Huang, Y., Mitchell, B. L., Kho, P. F., Han, X., García‐Marín, L. M., Ong, J., Agee, M., Aslibekyan, S., et al. (2022) · SLEEP · doi:10.1093/sleep/zsac308 · Cited by 49
McNicholas, W. T., & Korkalainen, H. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1239016 · Cited by 59
Liu, X., Wang, L., Lei, Y., Li, X., Cheng, C., Yang, L., Jiao, L., Yang, S., Shu, D., & Cheng, B. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.158018 · Cited by 51
Unmasking obstructive sleep apnea: Estimated prevalence and impact in the United States
Sönmez, İ., Dupuy, A. V., Yu, K. S., Cronin, J., Yee, J., & Azarbarzin, A. (2025) · Respiratory Medicine · doi:10.1016/j.rmed.2025.108348 · Cited by 55
Lohia, P., Sreeram, K., Nguyen, P., Choudhary, A., Khicher, S., YARANDI, H. N., Kapur, S., & Badr, M. S. (2021) · Respiratory Research · doi:10.1186/s12931-021-01647-6 · Cited by 51
Harki, O., Boëté, Q., Pépin, J., Arnaud, C., Belaïdi, E., Faury, G., Khouri, C., & Briançon‐Marjollet, A. (2021) · European Respiratory Journal · doi:10.1183/13993003.00866-2021 · Cited by 56
Self-citationPrevalence of Obstructive Sleep Apnea Syndrome: A Single-Center Retrospective Study
Santilli, M., Manciocchi, E., D’Addazio, G., Maria, E. D., D’Attilio, M., Femminella, B., & Sinjari, B. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph181910277 · Cited by 53
Duarte, R. L. M., Magalhães-da-Silveira, F. J., Sá, T., Silva, J. A., de Mello, F. C. S., & Gozal, D. (2020) · Nature and Science of Sleep · doi:10.2147/nss.s238255 · Cited by 50
Metadata
- Authors
- Benjafield, A. V., Ayas, N. T., Eastwood, P. R., Heinzer, R., Ip, M. S. M., Morrell, M. J., Nunez, C. M., Patel, S. R., Penzel, T., Pépin, J.-L., Peppard, P. E., Sinha, S., Tufik, S., Valentine, K., & Malhotra, A.
- Affiliations
- ResMed (United States) (US)
- University of British Columbia (CA)
- The University of Western Australia (AU)
- Centre Hospitalier Universitaire Vaudois (CH)
- Royal Brompton & Harefield NHS Foundation Trust (GB)
- University of Pittsburgh (US)
- Charité – Universitätsmedizin Berlin (DE)
- Inserm (FR)
- University of Wisconsin–Madison (US)
- All India Institute of Medical Sciences (IN)
- University of California San Diego (US)
- Corresponding author
- Malhotra, Atul
- ORCID
- Venue
- The Lancet Respiratory Medicine
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 7
- Issue
- 8
- Pages
- 687-698
- ISSN
- 2213-2600 (ISSN-L)
- PMC
- PMC7007763
- OpenAlex
- W2959442417
- Cited by
- 4,326
- References
- 59
- Citations by year
- 2026: 768 · 2025: 883 · 2024: 735 · 2023: 676 · 2022: 539 · 2021: 446 · 2020: 252 · 2019: 24
- FWCI
- 37.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet Respiratory Medicine (publishedVersion, public-domain)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion, other-oa)
- Murdoch University Research Portal (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- IRIS (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion, other-oa)
- Funders
- Philips
- Fondation Leenaards
- GlaxoSmithKline
- Pharmaceuticals Bayer
- ResMed
- American Thoracic Society
- National Health and Medical Research Council (1042341)
- American Sleep Medicine Foundation
- Agence Nationale de la Recherche (ANR-12-TECS-0010, ANR-15-IDEX-02)
- ResMed Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (3200B0-105993, 3200B0-118308, 33CS30-139468, 33CS30-148401, 33CSCO-122661)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- obstructive sleep apnea, global prevalence, disease burden, apnea-hypopnea index, conversion algorithm, China, United States, Brazil, India, obesity, cardiovascular risk, neuropsychological outcomes, treatment cost-effectiveness
- MeSH terms
- Adult, Aged, Asia, Europe, Female, Humans, Male, Middle Aged, South America, United States, Prevalence, Cost of Illness, Sleep Apnea, Obstructive, Internationality, Australasia
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