The Global Burden of Obstructive Sleep Apnea
Abstract
:1. Introduction
1.1. Definition and Epidemiology of OSA
1.2. Health Impact of OSA, Socioeconomic Impact
1.3. Current Management and Challenges
2. Materials and Methods
2.1. Literature Selection
2.2. Synthesis Approach
3. Results
3.1. Global Obstructive Sleep Apnea Prevalence
3.2. Prevalence Rates by Region
3.3. Demographic Factors and Risk Factors
3.4. Clinical Aspects and Diagnostic Criteria and Methods
3.5. The Effects of Obstructive Sleep Apnea on Health and Pathophysiology
3.6. The Socioeconomic Impact of Obstructive Sleep Apnea
3.7. Diagnosis and Treatment of Obstructive Sleep Apnea: An Evolving Landscape
3.8. Strategies and Policies in Public Health for Obstructive Sleep Apnea
3.9. Socioeconomic Burden, Disease Prevention, and Control Initiatives
4. Discussion
Future Direction and Challenges
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Region/Country | Study (Author, Year) | Sample Size | Diagnostic Criteria (AHI) | Prevalence (%) | Notes/Key Findings |
---|---|---|---|---|---|
United States | Peppard et al., 2013 [32] | 1520 | AHI ≥ 5/≥15 | 26%/10% | Higher in males, aged 30–70 |
Europe (multiple) | Franklin et al., 2015 [12] | Varies | AHI ≥ 5/≥15 | 6–17% | Lower than North America |
China (urban) | Ip et al., 2001 [34] | 153 | AHI ≥ 5 | 27.2% | Despite lower obesity rates |
Nigeria | Adewole et al., 2009 [36] | 248 | Questionnaire + AHI est. | ~12% | Limited diagnostic access |
Global (meta-analysis) | Benjafield et al., 2019 [2] | — | AHI ≥ 5/≥15 | 936 M/425 M | Global burden estimate |
Study | Design | Sample Size | Population | Location | Study Period | Primary Outcome | Key Findings | Inclusion Criteria | Exclusion Criteria | Limitations | GRADE Score |
---|---|---|---|---|---|---|---|---|---|---|---|
Peppard et al., 2013 [32] | Prospective cohort | 1520 | Adults aged 30–70 in the U.S. | USA | 1988–2011 | OSA prevalence | 26% have mild OSA (AHI > 5), 10% have moderate–severe OSA (AHI ≥ 15) | Adults aged 30–70 from Wisconsin Sleep Cohort | Not specified | Single geographic area, potential selection bias | Moderate |
Young et al., 2008 [43] | Prospective cohort | 1522 | Wisconsin Sleep Cohort | USA | 1989–2008 | All-cause mortality | Severe OSA associated with 3.8-fold increased mortality risk | Participants of Wisconsin Sleep Cohort | Those lost to follow-up | Single geographic area, potential confounding factors | Moderate |
Marin et al., 2005 [44] | Observational | 1387 | Men with OSA | Spain | 1992–1999 | Cardiovascular events | Untreated severe OSA increased cardiovascular risk | Men referred for suspected sleep breathing disorders | Central sleep apnea, previous CVD | Male-only population, potential selection bias | Low |
McEvoy et al., 2016 [45] | Randomized controlled trial | 2717 | Adults with moderate–severe OSA | Australia, China, New Zealand, Spain | 2008–2013 | Cardiovascular events | CPAP did not prevent cardiovascular events | Adults 45–75 years with moderate–severe OSA and coronary or cerebrovascular disease | Severe sleepiness, severe hypoxemia | Limited generalizability to all OSA patients | High |
Gottlieb et al., 2010 [46] | Prospective cohort | 4422 | Sleep Heart Health Study participants | USA | 1995–2006 | Incident heart failure | OSA associated with increased heart failure risk in men | Adults ≥ 40 years without heart failure at baseline | Central sleep apnea | Self-reported heart failure outcomes | Moderate |
Albarrak et al., 2005 [47] | Retrospective cohort | 342 | Men using CPAP for OSA | Canada | 1994–1999 | Healthcare utilization | Increased utilization in 5 years before OSA diagnosis | Men diagnosed with OSA and prescribed CPAP | Incomplete data, non-compliance with CPAP | Male-only, retrospective design | Low |
Strollo et al., 2014 [48] | Prospective cohort | 126 | Adults with moderate–severe OSA | Multiple centers in the USA and Europe | Not specified | OSA severity (AHI) | Upper-airway stimulation improved OSA outcomes | Adults with moderate–severe OSA intolerant to CPAP | Central sleep apnea, obesity | Strict inclusion criteria, potential selection bias | Moderate |
Ip et al., 2001 [34] | Cross-sectional | 153 | Middle-aged Chinese men in Hong Kong | Hong Kong | Not specified | OSA prevalence | High OSA prevalence in Asian populations | Chinese men aged 30–60 years | Known sleep disorders, major health problems | Male-only, single ethnic group | Low |
Pedrosa et al., 2011 [49] | Cross-sectional | 125 | Patients with resistant hypertension | Brazil | Not specified | OSA prevalence | High prevalence of undiagnosed OSA in resistant hypertension | Adults with resistant hypertension | Secondary hypertension, kidney disease | Referral population, potential selection bias | Low |
Chen et al., 2015 [39] | Cross-sectional | 6174 | Multi-Ethnic Study of Atherosclerosis participants | Multiple sites in USA | 2010–2013 | Sleep disturbances | Racial/ethnic differences in sleep disturbances including OSA | MESA participants aged 45–84 years | Clinical cardiovascular disease | Cross-sectional design, self-reported measures | Moderate |
Tarasiuk et al., 2008 [50] | Retrospective cohort | 289 | Middle-aged and older adults with OSA | Israel | 2001–2003 | Healthcare utilization | Increased morbidity and healthcare use in OSA patients | Adults diagnosed with OSA | Central sleep apnea, incomplete data | Retrospective design, potential confounding factors | Low |
Jennum & Kjellberg, 2011 [51] | Controlled national study | 19,438 | Danish population | Denmark | 1998–2006 | Socioeconomic consequences | OSA associated with increased health-related costs | All Danish citizens diagnosed with sleep disorders | Not specified | Reliance on national registers, potential misclassification | Moderate |
Rezaeitalab et al., 2014 [52] | Cross-sectional | 178 | Newly diagnosed OSA patients | Iran | Not specified | Anxiety disorders | High prevalence of anxiety disorders in OSA patients | Adults newly diagnosed with OSA | Previous psychiatric disorders, other sleep disorders | Cross-sectional design, single-center study | Low |
Sassani et al., 2004 [53] | Retrospective analysis | N/A | U.S. population | USA | 2000 | Motor vehicle collisions | Estimated high costs due to OSA-related collisions | N/A (population-based analysis) | N/A | Reliance on estimates, potential overestimation | Very low |
Franklin et al., 2013 [54] | Cross-sectional | 400 | Swedish women | Sweden | 2000–2004 | OSA prevalence | High prevalence of OSA in females | Women aged 20–70 years | Pregnancy, hormonal therapy | Limited geographic area, potential selection bias | Low |
Hedner et al., 2011 [55] | Cross-sectional | 5103 | European Sleep Apnoea Database | Multiple centers in Europe | 2007–2009 | OSA characteristics | Characteristics of OSA patients across Europe | Adults referred for sleep studies | Not specified | Referral population, potential selection bias | Moderate |
Taranto-Montemurro et al., 2019 [56] | Randomized controlled trial | 20 | Adults with OSA | USA | Not specified | OSA severity (AHI) | Combination therapy reduced OSA severity | Adults with OSA (AHI 20–50) | Severe obesity, other sleep disorders | Small sample size, short-term follow-up | High |
Marcus et al., 2013 [57] | Randomized controlled trial | 464 | Children with OSA | USA | 2007–2011 | OSA symptoms and quality of life | Adenotonsillectomy improved outcomes in childhood OSA | Children 5–9 years with OSA | Severe OSA, obesity, craniofacial abnormalities | Limited age range, exclusion of severe cases | High |
Zanobetti et al., 2010 [58] | Cross-sectional | 6441 | Adults from seven U.S. urban areas | USA | 1995–1998 | Sleep-disordered breathing | Association between air pollution and sleep-disordered breathing | Adults from Sleep Heart Health Study | Missing pollution or sleep data | Cross-sectional design, potential confounding factors | Low |
Economic Impact Category | Study/Source | Country | Estimated Cost/Effect | Notes |
---|---|---|---|---|
Direct Diagnosis Costs | Watson et al., 2016 [16] | USA | USD 2.4B annually | Polysomnography, home testing |
CPAP Therapy Costs | Frost & Sullivan, 2016 [67] | USA | USD 3.4B annually (projected USD 11.1B by 2030) | Growing due to higher prevalence |
Healthcare Utilization | Albarrak et al., 2005 [47] | Canada | ↑ hospitalization and ER visits | 5-year pre- vs. post-diagnosis analysis |
Lost Productivity | Frost & Sullivan, 2016 [67] | USA | USD 86.9B annually | Includes presenteeism, absenteeism |
Motor Vehicle Accidents | Sassani et al., 2004 [53] | USA | USD 15.9B + 1400 fatalities/year | Attributable to untreated OSA |
Workplace Accidents | Garbarino et al., 2016 [10] | Global (meta) | 2× risk of workplace injury | Safety-sensitive occupations |
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Iannella, G.; Pace, A.; Bellizzi, M.G.; Magliulo, G.; Greco, A.; De Virgilio, A.; Croce, E.; Gioacchini, F.M.; Re, M.; Costantino, A.; et al. The Global Burden of Obstructive Sleep Apnea. Diagnostics 2025, 15, 1088. https://doi.org/10.3390/diagnostics15091088
Iannella G, Pace A, Bellizzi MG, Magliulo G, Greco A, De Virgilio A, Croce E, Gioacchini FM, Re M, Costantino A, et al. The Global Burden of Obstructive Sleep Apnea. Diagnostics. 2025; 15(9):1088. https://doi.org/10.3390/diagnostics15091088
Chicago/Turabian StyleIannella, Giannicola, Annalisa Pace, Mario Giuseppe Bellizzi, Giuseppe Magliulo, Antonio Greco, Armando De Virgilio, Enrica Croce, Federico Maria Gioacchini, Massimo Re, Andrea Costantino, and et al. 2025. "The Global Burden of Obstructive Sleep Apnea" Diagnostics 15, no. 9: 1088. https://doi.org/10.3390/diagnostics15091088
APA StyleIannella, G., Pace, A., Bellizzi, M. G., Magliulo, G., Greco, A., De Virgilio, A., Croce, E., Gioacchini, F. M., Re, M., Costantino, A., Casale, M., Moffa, A., Lechien, J. R., Cocuzza, S., Vicini, C., Caranti, A., Marchese Aragona, R., Lentini, M., & Maniaci, A. (2025). The Global Burden of Obstructive Sleep Apnea. Diagnostics, 15(9), 1088. https://doi.org/10.3390/diagnostics15091088