The DOI matches its Crossref record; 41 of the 43 references it cites were found in a registry or an index.
Increased Prevalence of Sleep-Disordered Breathing in Adults
Open accessAbstract
Sleep-disordered breathing is a common disorder with a range of harmful sequelae. Obesity is a strong causal factor for sleep-disordered breathing, and because of the ongoing obesity epidemic, previous estimates of sleep-disordered breathing prevalence require updating. We estimated the prevalence of sleep-disordered breathing in the United States for the periods of 1988-1994 and 2007-2010 using data from the Wisconsin Sleep Cohort Study, an ongoing community-based study that was established in 1988 with participants randomly selected from an employed population of Wisconsin adults. A total of 1,520 participants who were 30-70 years of age had baseline polysomnography studies to assess the presence of sleep-disordered breathing. Participants were invited for repeat studies at 4-year intervals. The prevalence of sleep-disordered breathing was modeled as a function of age, sex, and body mass index, and estimates were extrapolated to US body mass index distributions estimated using data from the National Health and Nutrition Examination Survey. The current prevalence estimates of moderate to severe sleep-disordered breathing (apnea-hypopnea index, measured as events/hour, ≥15) are 10% (95% confidence interval (CI): 7, 12) among 30-49-year-old men; 17% (95% CI: 15, 21) among 50-70-year-old men; 3% (95% CI: 2, 4) among 30-49-year-old women; and 9% (95% CI: 7, 11) among 50-70 year-old women. These estimated prevalence rates represent substantial increases over the last 2 decades (relative increases of between 14% and 55% depending on the subgroup).
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“However, this association with BMI decreases with age, and after age 60 years may be less significant.95”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [95]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“OSA is prevalent in 44.6% of men and 13.5% of women aged 30–49 years with BMI of 30–39.9 kg/m2, compared to 7% of men and 1.4% of women whose BMI is less than 25 kg/m2.95”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [95]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“OSA and hypertension (HTN) are highly prevalent conditions in the general population.95,97,677”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [95]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Sleep debt, circadian misalignment and sleep disruption from obstructive sleep apnea is widespread in modern society and accumulates with life because recovery sleep is not completely restorative.”
From Sleep, testosterone and cortisol balance, and ageing men (2022) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“it is estimated that approximately 10% of the general population fulfil diagnostic criteria for OSA [20].”
From Co-morbid insomnia and sleep apnea (COMISA): Prevalence, consequences, methodological considerations, and recent randomized controlled trials (2019) · cites this paper as [20]
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“As BMI increases, the risk of OSA rises with an increase in prevalence of AHI ≥ 15 from 3.6% in normal weight to 56% in those with BMI ≥40 among men aged 50–70 years.95”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [95]
The cited source says what the claim attributes to it.
In the citing paper
“An updated estimate based on the Wisconsin data in 2013 indicated higher rates of OSA in 14% of men and 5% of women ages 30–70 in the US over time, attributed to changes in population levels of obesity.95”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [95]
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In the citing paper
“Obesity is one of the most significant risk factors for SDB.95,156,189,190”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [95]
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“Substantial increases in OSA prevalence were seen over the span of two decades, ranging between 14% and 55% depending on the subgroup.”
From Obstructive sleep apnea: transition from pathophysiology to an integrative disease model (2022) · cites this paper as Peppard et al., 2013
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“The prevalence rates of moderate‐to‐severe OSA in the latter period were 10% among men aged 30–49 years; 17% among men aged 50–70 years; 3% among women aged 30–49 years; and 9% among women aged 50–70 years.”
From Obstructive sleep apnea: transition from pathophysiology to an integrative disease model (2022) · cites this paper as Peppard et al., 2013
The cited source says what the claim attributes to it.
In the citing paper
“It is a male-preponderant disease that is more prevalent with advanced age, particularly in the presence of obesity [12, 102].”
From Sleep, testosterone and cortisol balance, and ageing men (2022) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“The prevalence of OSA has been estimated to be 14% of men and 5% of women, in a population-based study utilizing an AHI cutoff of ≥ 5 events/h (hypopneas associated with 4% oxygen desaturations) combined with clinical symptoms to define OSA.6”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [6]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“As in the foregoing study, the prevalence of an increased AHI was higher than the prevalence of EDS.”
From Obstructive sleep apnea: transition from pathophysiology to an integrative disease model (2022) · cites this paper as Peppard et al., 2013
Experimental — accuracy not yet measuredIn the citing paper
“Sleep apnea, another common sleep disorder defined as at least 5 respiratory events (apnea or hypopnea) per hour of sleep on average, has an estimated prevalence of 27% to 34% among men 30 to 70 years of age and 9% to 28% among women in the same age group.”
From Sleep Duration and Quality: Impact on Lifestyle Behaviors and Cardiometabolic Health: A Scientific Statement From the American Heart Association (2016) · cites this paper as [3]
In the citing paper
“For example, men are more likely to have obstructive sleep apnea,139 are more likely to have difficulty adhering to sleep apnea treatment,165,166 and are more likely to die as a result of complications or consequences of sleep apnea.167”
From Sleep, Health, and Society (2017) · cites this paper as [139]
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Citations
Cites
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale
Johns, M. W. (1991) · Sleep · doi:10.1093/sleep/14.6.540 · Cited by 17,364
Rechtschaffen, A. (1968) · Medical Entomology and Zoology · Cited by 11,772
The Occurrence of Sleep-Disordered Breathing among Middle-Aged Adults
Young, T., Palta, M., Dempsey, J., Skatrud, J., Weber, S., & Badr, S. (1993) · New England Journal of Medicine · doi:10.1056/nejm199304293281704 · Cited by 10,183
Self-citationPrevalence of Overweight and Obesity in the United States, 1999-2004
Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., & Flegal, K. M. (2006) · JAMA · doi:10.1001/jama.295.13.1549 · Cited by 8,720
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580
Prevalence and trends in obesity among US adults, 1999–2000
Flegal, K. M. (2002) · JAMA · doi:10.1001/jama.288.14.1723 · Cited by 6,190
Prospective Study of the Association between Sleep-Disordered Breathing and Hypertension
Peppard, P. E., Young, T., Palta, M., & Skatrud, J. (2000) · New England Journal of Medicine · doi:10.1056/nejm200005113421901 · Cited by 4,973
Self-citationPrevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002.
Hedley, A. A., Ogden, C., Johnson, C. L., Carroll, M., Curtin, L. R., & Flegal, K. (2004) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.291.23.2847 · Cited by 4,670
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2 of the 43 references couldn’t be matched to a known paper.
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- Young, 2008, Sleep, 31, 1071
- Marshall, 2008, Sleep, 31, 1079
- 2009, WISCONSIN MED J, 108, 246
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Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000659 · Cited by 9,036
Heart disease and stroke statistics-2018 update: a report from the american heart association
Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., Deo, R., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000558 · Cited by 7,146
Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Metadata
- Authors
- Peppard, P. E., Young, T., Barnet, J. H., Palta, M., Hagen, E. W., & Hla, K. M.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Peppard, P. E.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-04-14
- Volume
- 177
- Issue
- 9
- Pages
- 1006-1014
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- PMC
- PMC3639722
- OpenAlex
- W2117834225
- Semantic Scholar
- 04acb616e4636054e9857f3d1e7fcf5e8b5e43ac
- Cited by
- 4,618
- References
- 43
- Citations by year
- 2026: 227 · 2025: 343 · 2024: 305 · 2023: 357 · 2022: 412 · 2021: 427 · 2020: 443 · 2019: 430 · 2018: 450 · 2017: 383 · 2016: 340 · 2015: 300 · 2014: 161 · 2013: 27
- FWCI
- 191.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Epidemiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Wisconsin-Madison (1UL1RR025011)
- National Institutes of Health (UL1TR000427)
- School of Medicine and Public Health, University of Wisconsin-Madison
- National Institute on Aging (R01AG014124, R01AG 14124, R01AG036838)
- National Heart, Lung, and Blood Institute (R01HL062252, R01HL 62252)
- National Center for Research Resources (UL1RR025011)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD049302)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- sleep-disordered breathing, prevalence, obesity, body mass index, apnea-hypopnea index, Wisconsin Sleep Cohort Study, sex differences, age differences, obesity epidemic, polysomnography
- MeSH terms
- Adult, Aged, Female, Health Surveys, Humans, Disorders of Excessive Somnolence, Male, Obesity, Severity of Illness Index, Sleep Apnea Syndromes, United States, Wisconsin, Cohort Studies, Body Mass Index, Prevalence, Logistic Models, Polysomnography, Sex Distribution
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