The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Prevalence and association analysis of obstructive sleep apnea with gender and age differences – Results of SHIP‐Trend
Abstract
Identification of obstructive sleep apnea and risk factors is important for reduction in symptoms and cardiovascular risk, and for improvement of quality of life. The population‐based Study of Health in Pomerania investigated risk factors and clinical diseases in a general population of northeast Germany. Additional polysomnography was applied to measure sleep and respiration with the objective of assessing prevalence and risk factors of obstructive sleep apnea in a German cohort. One‐thousand, two‐hundred and eight people between 20 and 81 years old (54% men, median age 54 years) underwent overnight polysomnography. The estimated obstructive sleep apnea prevalence was 46% (59% men, 33% women) for an apnea–hypopnea index ≥5%, and 21% (30% men, 13% women) for an apnea–hypopnea index ≥ 15. The estimated obstructive sleep apnea syndrome prevalence (apnea–hypopnea index ≥5; Epworth Sleepiness Scale >10) was 6%. The prevalence of obstructive sleep apnea continuously increased with age for men and women with, however, later onset for women. Gender, age, body mass index, waist‐to‐hip ratio, snoring, alcohol consumption (for women only) and self‐reported cardiovascular diseases were significantly positively associated with obstructive sleep apnea, whereas daytime sleepiness was not. Diabetes, hypertension and metabolic syndrome were positively associated with severe obstructive sleep apnea. The associations became non‐significant after adjustment for body mass. Women exhibited stronger associations than men. The prevalence of obstructive sleep apnea was high, with almost half the population presenting some kind of obstructive sleep apnea. The continuous increase of obstructive sleep apnea with age challenges the current theory that mortality due to obstructive sleep apnea and cardiovascular co‐morbidities affect obstructive sleep apnea prevalence at an advanced age. Also, gender differences regarding obstructive sleep apnea and associations are significant for recognizing obstructive sleep apnea mechanisms and therapy responsiveness.
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Cites
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 · cited 1×
“However, comparing prevalence between sleep studies is difficult due to different study populations and methods (Bixler et al., 2001; Duran, Esnaola, Rubio, & Iztueta, 2001; Ip et al., 2001; Senaratna et al., 2016; Shahar et al., 2001; Tufik, Santos‐Silva, Taddei, & Bittencourt, 2010; Young et al., 1993).”
BackgroundPrevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010
Flegal, K. M., Carroll, M. D., Kit, B. K., & Ogden, C. L. (2012) · JAMA · doi:10.1001/jama.2012.39 · Cited by 5,385
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
Epidemiology 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
Sleep-disordered Breathing and Cardiovascular Disease
SHAHAR, E., WHITNEY, C. W., REDLINE, S., LEE, E. T., NEWMAN, A. B., JAVIER NIETO, F., O'CONNOR, G. T., BOLAND, L. L., SCHWARTZ, J. E., & SAMET, J. M. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.163.1.2001008 · Cited by 2,901
Prevalence of obstructive sleep apnea in the general population: A systematic review
Senaratna, C. V., Perret, J. L., Lodge, C. J., Lowe, A. J., Campbell, B. E., Matheson, M. C., Hamilton, G. S., & Dharmage, S. C. (2017) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2016.07.002 · Cited by 2,581
Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study
Heinzer, R., Vat, S., Marques-Vidal, P., Marti-Soler, H., Andries, D., Tobback, N., Mooser, V, Preisig, M., Malhotra, A., Waeber, G., et al. (2015) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(15)00043-0 · Cited by 2,481
The epidemiology of adult obstructive sleep apnea
Punjabi, N. M. (2008) · Proceedings of the American Thoracic Society · doi:10.1513/pats.200709-155mg · Cited by 2,361
CPAP for Prevention of Cardiovascular Events in Obstructive Sleep Apnea
McEvoy, R. D., Antic, N. A., Heeley, E., Luo, Y., Ou, Q., Zhang, X., Mediano, O., Chen, R., Drager, L. F., Liu, Z., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606599 · Cited by 2,101
Wolf-Maier, K. (2003) · JAMA · doi:10.1001/jama.289.18.2363 · Cited by 1,737
Cited by
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., et al. (2019) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(19)30198-5 · Cited by 4,326
Self-citationDiagnosis and Management of Obstructive Sleep Apnea: A Review
Gottlieb, D. J., & Punjabi, N. M. (2020) · JAMA · doi:10.1001/jama.2020.3514 · Cited by 1,482
International Consensus Statement on Obstructive Sleep Apnea
Chang, J. L., Goldberg, A. N., Alt, J. A., Mohammed, A., Ashbrook, L., Auckley, D., Ayappa, I., Bakhtiar, H., Barrera, J. E., Bartley, B. L., et al. (2023) · International Forum of Allergy & Rhinology · doi:10.1002/alr.23079 · Cited by 350
Breathing Re-Education and Phenotypes of Sleep Apnea: A Review
McKeown, P., O’Connor-Reina, C., & Plaza, G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10030471 · Cited by 34
Metadata
- Authors
- Fietze, I., Laharnar, N., Obst, A., Ewert, R., Felix, S. B., Garcia, C., Gläser, S., Glos, M., Schmidt, C. O., Stubbe, B., Völzke, H., Zimmermann, S., & Penzel, T.
- Venue
- Journal of Sleep Research
- Publisher
- Wiley
- Published
- 2018-10
- Volume
- 28
- Issue
- 5
- Pages
- e12770-e12770
- ISSN
- 0962-1105 (ISSN-L)
- 1365-2869
- OpenAlex
- W2895642444
- Cited by
- 384
- References
- 42
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fietze, I., Laharnar, N., Obst, A., Ewert, R., Felix, S. B., Garcia, C., Gläser, S., Glos, M., Schmidt, C. O., Stubbe, B., Völzke, H., Zimmermann, S., & Penzel, T. (2019). Prevalence and association analysis of obstructive sleep apnea with gender and age differences – Results of SHIP‐Trend. Journal of Sleep Research. https://doi.org/10.1111/jsr.12770
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