Literature DB >> 20561172

A Norwegian population-based study on the risk and prevalence of obstructive sleep apnea. The Akershus Sleep Apnea Project (ASAP).

Harald Hrubos-Strøm1, Anna Randby, Silje K Namtvedt, Håvard A Kristiansen, Gunnar Einvik, Jūratėšaltytė Benth, Virend K Somers, Inger H Nordhus, Michael B Russell, Toril Dammen, Torbjørn Omland, Kari J Kværner.   

Abstract

The Berlin Questionnaire (BQ) is a widely used screening tool for obstructive sleep apnea (OSA), but its performance in the general population setting is unknown. The prevalence of OSA in middle-aged adults is not known in Norway. Accordingly, the aims of the current study were to evaluate the utility of the BQ for OSA screening in the general population and to estimate the prevalence of OSA in Norway. The study population consisted of 29,258 subjects (aged 30-65 years, 50% female) who received the BQ by mail. Of these, 16,302 (55.7%) responded. Five-hundred and eighteen subjects were included in the clinical sample and underwent in-hospital polysomnography. Screening properties and prevalence were estimated by a statistical model that adjusted for bias in the sampling procedure. Among the 16,302 respondents, 24.3% (95% confidence interval (CI)=23.6-25.0%) were classified by the BQ to be at high-risk of having OSA. Defining OSA as an apnea-hypopnea index (AHI) ≥5, the positive predictive value of the BQ was estimated to be 61.3%, the negative predictive value 66.2%, the sensitivity 37.2% and the specificity 84.0%. Estimated prevalences of OSA were 16% for AHI≥5 and 8% for AHI≥15. In conclusion, the BQ classified one out of four middle-aged Norwegians to be at high-risk of having OSA, but the screening properties of the BQ were suboptimal. The estimated prevalence of OSA was comparable to previous estimates from general populations in the USA, Australia and Europe.
© 2010 European Sleep Research Society.

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Year:  2011        PMID: 20561172     DOI: 10.1111/j.1365-2869.2010.00861.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  34 in total

1.  Factors associated with undiagnosed obstructive sleep apnoea in hypertensive primary care patients.

Authors:  Anders Broström; Ola Sunnergren; Kristofer Årestedt; Peter Johansson; Martin Ulander; Barbara Riegel; Eva Svanborg
Journal:  Scand J Prim Health Care       Date:  2012-06       Impact factor: 2.581

2.  Obstructive Sleep Apnea Syndrome in Company Workers: Development of a Two-Step Screening Strategy with a New Questionnaire.

Authors:  Michiel M Eijsvogel; Sytske Wiegersma; Winfried Randerath; Johan Verbraecken; Esther Wegter-Hilbers; Job van der Palen
Journal:  J Clin Sleep Med       Date:  2016-04-15       Impact factor: 4.062

Review 3.  Occupational screening for sleep disorders in 12-h shift nurses using the Berlin Questionnaire.

Authors:  Jeanne Geiger-Brown; Valerie E Rogers; Kihye Han; Alison Trinkoff; R Barker Bausell; Steven M Scharf
Journal:  Sleep Breath       Date:  2012-04-26       Impact factor: 2.816

4.  Validation of a portable monitor for the diagnosis of obstructive sleep apnea in morbidly obese patients.

Authors:  Jan Magnus Fredheim; J Røislien; J Hjelmesæth
Journal:  J Clin Sleep Med       Date:  2014-07-15       Impact factor: 4.062

Review 5.  Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis.

Authors:  Adam V Benjafield; Najib T Ayas; Peter R Eastwood; Raphael Heinzer; Mary S M Ip; Mary J Morrell; Carlos M Nunez; Sanjay R Patel; Thomas Penzel; Jean-Louis Pépin; Paul E Peppard; Sanjeev Sinha; Sergio Tufik; Kate Valentine; Atul Malhotra
Journal:  Lancet Respir Med       Date:  2019-07-09       Impact factor: 30.700

Review 6.  P4 medicine approach to obstructive sleep apnoea.

Authors:  Diane C Lim; Kate Sutherland; Peter A Cistulli; Allan I Pack
Journal:  Respirology       Date:  2017-05-05       Impact factor: 6.424

7.  Prevalence of excessive sleepiness is higher whereas insomnia is lower with greater severity of obstructive sleep apnea.

Authors:  Bjørn Bjorvatn; Sverre Lehmann; Shashi Gulati; Harald Aurlien; Ståle Pallesen; Ingvild W Saxvig
Journal:  Sleep Breath       Date:  2015-04-09       Impact factor: 2.816

8.  Using the Berlin Questionnaire to Predict Obstructive Sleep Apnea in the General Population.

Authors:  Adeline Tan; Jason D C Yin; Linda W L Tan; Rob M van Dam; Yan Yi Cheung; Chi-Hang Lee
Journal:  J Clin Sleep Med       Date:  2017-03-15       Impact factor: 4.062

9.  High prevalence of undiagnosed obstructive sleep apnoea in the general population and methods for screening for representative controls.

Authors:  Laila Simpson; David R Hillman; Matthew N Cooper; Kim L Ward; Michael Hunter; Stewart Cullen; Alan James; Lyle J Palmer; Sutapa Mukherjee; Peter Eastwood
Journal:  Sleep Breath       Date:  2012-11-16       Impact factor: 2.816

10.  Obstructive sleep apnea: no independent association to troponins.

Authors:  Trygve Sørdahl Hall; Tobias Herrscher; Petr Jarolim; Morten W Fagerland; Torstein Jensen; Jonas Hallén; Stefan Agewall; Dan Atar
Journal:  Sleep Breath       Date:  2013-09-17       Impact factor: 2.816

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