Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften Toetsvragen Web-tv Video Audio
Tips voor Mijn BSL
Inloggen
Top
Quality of Life Research
Gepubliceerd in:

01-08-2015 | Brief Communication

Screening commercial drivers for obstructive sleep apnea: translation and validation of Serbian version of Berlin Questionnaire

Auteurs: Martin B. Popević, Anđela Milovanović, Ljudmila Nagorni-Obradović, Dejan Nešić, Jovica Milovanović, Aleksandar P. S. Milovanović

Gepubliceerd in: Quality of Life Research | Uitgave 2/2016

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

Obstructive sleep apnea (OSA) can lead to severe health consequences. Drivers of motor vehicles with untreated or undiagnosed OSA have a greater risk of traffic accidents. Use of self-reported questionnaires is the first step in OSA diagnosis. The main aim of this study was to perform the translation and validation of Berlin Questionnaire in a sample of commercial drivers.

Methods

After formal translation, validation was performed on a sample of commercial drivers and included evaluation of internal consistency, test–retest reliability, construct and criterion validity. Full-night attended polysomnography or cardiorespiratory polygraphy was used for OSA diagnosis.

Results

One hundred male participants, 24–62 years old, were included. Berlin Questionnaire classified 35 % subjects as potential OSA patients. Polysomnography confirmed OSA in 58 % of the subjects. Berlin Questionnaire showed good internal consistency (Cronbach’s alpha 0.82—first category, 0.73–0.95—second category). Test–retest reliability (Cohen’s kappa 0.78) was adequate. Berlin score was significantly correlated with OSA category and apnea–hypopnea index (AHI). Sensitivity of Berlin Questionnaire was from 50.9 (AHI ≥ 5) to 75 % (AHI ≥ 30), while specificity ranged from 86 to 70.5 %.

Conclusions

Berlin Questionnaire (Serbian version) showed good measurement properties, creating basis for further research of its usefulness as OSA screening tool in populations of interest.
vorige artikel Adaptation of the 10-Item Functional Outcomes of Sleep Questionnaire to Iranian Patients with Obstructive Sleep Apnea
volgende artikel Test–retest reliability of HeartQoL and its comparability to the MacNew heart disease health-related quality of life questionnaire
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
Kendzerska, T., Mollayeva, T., Gershon, A. S., Leung, R. S., Hawker, G., & Tomlinson, G. (2014). Untreated obstructive sleep apnea and the risk for serious long-term adverse outcomes: A systematic review. Sleep Medicine Reviews, 18(1), 49–59.CrossRefPubMed
2.
Tregear, S., Reston, J., Schoelles, K., & Phillips, B. (2009). Obstructive sleep apnea and risk of motor vehicle crash: Systematic review and meta analysis. Journal of Clinical Sleep Medicine, 5(6), 573–581.PubMedCentralPubMed
3.
Stoohs, R. A., Guilleminault, C., Itoi, A., & Dement, W. C. (1994). Traffic accidents in commercial long-haul truck drivers: The influence of sleep-disordered breathing and obesity. Sleep, 17, 619–623.PubMed
4.
Zhang, T., & Chan, A. H. S. (2014). Sleepiness and the risk of road accidents for professional drivers: A systematic review and meta-analysis of retrospective studies. Safety Science, 70, 180–188.CrossRef
5.
Ramachandran, S. K., & Josephs, L. A. (2009). A meta-analysis of clinical screening tests for obstructive sleep apnea. Anesthesiology, 110, 928–939.CrossRefPubMed
6.
7.
Moreno, C. R. C., Carvalho, F. A., Lorenzi, C., Matuzaki, L. S., Prezotti, S., Bighetti, P., et al. (2004). High risk for obstructive sleep apnea in truck drivers estimated by the Berlin questionnaire: Prevalence and associated factors. Chronobiology International, 21, 871–879.CrossRefPubMed
8.
Firat, H., Yuceege, M., Demir, A., & Ardic, S. (2012). Comparison of four established questionnaires to identify highway bus drivers at risk for obstructive sleep apnea in Turkey. Sleep and Biological Rhythms, 10(3), 231–236.CrossRef
9.
Johns, M. (1991). A new method for measuring daytime sleepiness: The Epworth sleepiness scale. Sleep, 14(6), 540–545.PubMed
10.
Roure, N., Gomez, S., Mediano, O., Duran, J., Peña, M. D. L., Capote, F., et al. (2008). Daytime sleepiness and polysomnography in obstructive sleep apnea patients. Sleep Medicine, 9(7), 727–731.CrossRefPubMed
11.
Netzer, N. C., Stoohs, R. A., Netzer, C. M., Clark, K., & Strohl, K. P. (1999). Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Annals of Internal Medicine, 131(7), 485–491.CrossRefPubMed
12.
Bouloukaki, I., Komninos, I. D., Mermigkis, C., Micheli, K., Komninou, M., Moniaki, V., et al. (2013). Translation and validation of Berlin questionnaire in primary health care in Greece. BMC Pulmonary Medicine, 13(1), 6.PubMedCentralCrossRefPubMed
13.
Sharma, S. K., Vasudev, C., Sinha, S., Banga, A., Pandey, R. M., & Handa, K. K. (2006). Validation of the modified Berlin questionnaire to identify patients at risk for the obstructive sleep apnea syndrome. Indian Journal of Medical Research, 124, 281–290.PubMed
14.
Chung, F., Yegneswaran, B., Liao, P., Chung, S. A., Vairavanathan, S., Islam, S., et al. (2008). Validation of the Berlin questionnaire and American Society of Anesthesiologists checklist as screening tools for obstructive sleep apnea in surgical patients. Anesthesiology, 108(5), 822–830.CrossRefPubMed
15.
Ahmadi, N., Chung, S. A., Gibbs, A., & Shapiro, C. M. (2008). The Berlin questionnaire for sleep apnea in a sleep clinic population: Relationship to polysomnographic measurement of respiratory disturbance. Sleep and Breathing, 12(1), 39–45.CrossRefPubMed
16.
Vaz, A. P., Drummond, M., Mota, P. C., Severo, M., Almeida, J., & Winck, J. C. (2011). Translation of Berlin questionnaire to Portuguese language and its application in OSA identification in a sleep disordered breathing clinic. Revista Portuguesa de Pneumologia, 17, 59–65.PubMed
17.
Kopitovic, I., Trajanovic, N., Prodic, S., Drvenica, M. J., Ilic, M., Kuruc, V., & Kojicic, M. (2011). The Serbian version of the Epworth sleepiness scale. Sleep and Breathing, 15(4), 775–780.CrossRefPubMed
18.
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191.CrossRefPubMed
19.
Iber, C., Ancoli-Israel, S., Chesson, A., Quan, S. F., & American Academy of Sleep Medicine. (2007). The AASM manual for the scoring of sleep and associated events: Rules, terminology and technical specifications. Westchester: American Academy of Sleep Medicine.
20.
Collop, N. A., Anderson, W. M., Boehlecke, B., Claman, D., Goldberg, R., Gottlieb, D. J., et al. (2007). Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Journal of Clinical Sleep Medicine, 3(7), 737–747.PubMed
21.
Yunus, A., Seet, W., & Haniff, J. (2012). Validation of the Malay version of Berlin questionnaire to identify Malaysian patients for obstructive sleep apnea. Malaysian Family Physician, 8(1), 5–11.
22.
Saleh, A. B. M., Ahmad, M. A., & Awadalla, N. J. (2011). Development of Arabic version of Berlin questionnaire to identify obstructive sleep apnea at risk patients. Annals of Thoracic Medicine, 6(4), 212–216.PubMedCentralCrossRefPubMed
23.
Sharwood, L. N., Elkington, J., Stevenson, M., et al. (2012). Assessing sleepiness and sleep disorders in Australian long-distance commercial vehicle drivers: Self-report versus an “at home” monitoring device. Sleep, 35, 469–475.PubMedCentralPubMed
24.
25.
Hrubos-Strom, H., Randby, A., Namtvedt, S. K., Kristiansen, H. A., Einvik, G., Benth, J., et al. (2010). A Norwegian population-based study on the risk and prevalence of obstructive sleep apnea. Journal of Sleep Research, 20(1pt2), 162–170.CrossRef
26.
El-Sayed, I. H. (2012). Comparison of four sleep questionnaires for screening obstructive sleep apnea. Egyptian Journal of Chest Diseases and Tuberculosis, 61(4), 433–441.CrossRef
27.
Pataka, A., Daskalopoulou, E., Kalamaras, G., Fekete Passa, K., & Argyropoulou, P. (2014). Evaluation of five different questionnaires for assessing sleep apnea syndrome in a sleep clinic. Sleep Medicine, 15(7), 776–781.CrossRefPubMed
28.
Catarino, R., Spratley, J., Catarino, I., Lunet, N., & Pais-Clemente, M. (2014). Sleepiness and sleep-disordered breathing in truck drivers. Sleep and Breathing, 18(1), 59–68.CrossRefPubMed
29.
Anthoine, E., Moret, L., Regnault, A., Sbille, V., & Hardouin, J. B. (2014). Sample size used to validate a scale: A review of publications on newly-developed patient reported outcomes measures. Health and Quality of Life Outcomes, 12, 176.CrossRefPubMed
Metagegevens
Titel
Screening commercial drivers for obstructive sleep apnea: translation and validation of Serbian version of Berlin Questionnaire
Auteurs
Martin B. Popević
Anđela Milovanović
Ljudmila Nagorni-Obradović
Dejan Nešić
Jovica Milovanović
Aleksandar P. S. Milovanović
Publicatiedatum
01-08-2015
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 2/2016
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-1087-3

Andere artikelen Uitgave 2/2016

Content validity of Patient-Reported Outcomes Measurement Information System (PROMIS) items in the context of HIV clinical care

A brief psychological intervention to protect subjective well-being in a community sample

Psychosocial profile of pediatric brain tumor survivors with neurocognitive complaints

  • Open Access

Gender, race, BMI, and social support in relation to the health-related quality of life of cancer survivors: a report from the American Cancer Society’s Study of Cancer Survivors II (SCS-II)

Erratum to: An EQ-5D-5L value set based on Uruguayan population preferences

  • Erratum

Correcting bias in self-rated quality of life: an application of anchoring vignettes and ordinal regression models to better understand QoL differences across commuting modes

  • Open Access