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Quality of Life Research
Gepubliceerd in:

01-08-2015 | Brief Communication

The STOP-BANG questionnaire: reliability and validity of the Persian version in sleep clinic population

Auteurs: Khosro Sadeghniiat-Haghighi, Ali Montazeri, Ahmad Khajeh-Mehrizi, Mahsa Ghajarzadeh, Zahra Banafsheh Alemohammad, Omid Aminian, Mojtaba Sedaghat

Gepubliceerd in: Quality of Life Research | Uitgave 8/2015

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Abstract

Purpose

The snoring, tiredness, observed apnea, blood pressure, body mass index, age, neck circumference, gender (STOP-BANG) is a concise and effective obstructive sleep apnea (OSA) screening tool, part questionnaire (STOP), and part demographic or anthropometric measurements (BANG). The main purpose of this study was to translate this well-liked questionnaire into Persian and assess its reliability and validity in sleep clinic population.

Methods

Standard forward–backward method was used for translation. A sample of 603 patients, who admitted to the sleep clinic, completely answered to the STOP questionnaire and underwent in-laboratory polysomnography, included in this study. Height, weight, and neck circumference were measured by technicians for calculating BANG score. The apnea–hypopnea index (AHI) on the polysomnography was used as gold standard for OSA diagnosis: none (AHI < 5), mild (5 ≤ AHI < 15), moderate (15 ≤ AHI < 30), and severe (AHI ≥ 30). One hundred and forty one patients were answered to the STOP questionnaire twice at a time interval of 2–4 weeks for test–retest analysis.

Results

In reliability analysis, 124 (87.9 %) patients had same STOP score and 130 (92.2 %) patients were classified in same risk of OSA. Based on the polysomnography, 438 patients (72.6 %) had mild (n = 124, 20.4 %), moderate (n = 114, 18.9 %), and severe (n = 201, 33.3 %) OSA, whereas according to the STOP-BANG, 502 patients (83.3 %) were at high risk of OSA. The sensitivity and specificity of the STOP-BANG were found to be 91.6 and 45.2 %, respectively, at AHI ≥ 5, 97.1 and 35.2 %, respectively, at AHI ≥ 15, and 98 and 29.4 %, respectively, at AHI ≥ 30. The area under the curve of the STOP-BANG for identifying mild, moderate, and severe OSA was 0.805, 0.779, and 0.755, respectively.

Conclusions

Persian version of the STOP-BANG performs similar to its original version and is an easy-to-use questionnaire which could be considered as a reliable and valid tool for OSA screening.
vorige artikel Short Musculoskeletal Function Assessment: normative data of the Dutch population
volgende artikel Validation of the Malay version of the Quality of Life Questionnaire of the European Foundation for Osteoporosis (QUALEFFO-41) in Malaysia
Literatuur
1.
The Report of an American Academy of Sleep Medicine Task Force. (1999). Sleep-related breathing disorders in adults: Recommendations for syndrome definition and measurement techniques in clinical research. Sleep, 22, 667–689.
2.
Peppard, P. E., Young, T., Barnet, J. H., Palta, M., Hagen, E. W., & Hia, K. M. (2013). Increased prevalence of sleep-disordered breathing in adults. American Journal of Epidemiology, 177, 1006–1014.PubMedCentralPubMedCrossRef
3.
Young, T., Peppard, P. E., & Gottlieb, D. J. (2002). Epidemiology of obstructive sleep apnea: A population health perspective. American Journal of Respiratory and Critical Care Medicine, 165, 1217–1239.PubMedCrossRef
4.
Amra, B., Farajzadegan, Z., Golshan, M., Fietze, I., & Penzel, T. (2011). Prevalence of sleep apnea-related symptoms in a Persian population. Sleep and Breathing, 15, 425–429.PubMedCrossRef
5.
Khazaie, H., Najafi, F., Rezaie, L., Tahmasian, M., Sepehry, A. A., & Herth, F. J. F. (2011). Prevalence of symptoms and risk of obstructive sleep apnea syndrome in the general population. Archives of Iranian Medicine, 14, 335–338.PubMed
6.
Kryger, M. H. (2000). Diagnosis and management of sleep apnea syndrome. Clinical Cornerstone, 2, 39–47.PubMedCrossRef
7.
Baldwin, C. M., Griffitch, K. A., Nieto, F. J., O’Connor, G. T., Walsleben, J. A., & Redline, S. (2001). The association of sleep-disordered breathing and sleep symptoms with quality of life in the Sleep Heart Health Study. Sleep, 24, 96–105.PubMed
8.
Finn, L., Young, T. B., Palta, M., & Fryback, D. G. (1998). Sleep-disordered breathing and self-reported general health status in the Wisconsin Sleep Cohort Study. Sleep, 21, 701–706.PubMed
9.
Bloch, K. E. (1997). Polysomnography: A systematic review. Technology and Health Care, 5, 285–305.PubMed
10.
Abrishami, A., Khajehdehi, A., & Chung, F. (2010). A systematic review of screening questionnaires for obstructive sleep apnea. Canadian Journal of Anaesthesia, 57, 423–438.PubMedCrossRef
11.
Sadeghniiat-Haghighi, K., Montazeri, A., Khajeh-Mehrizi, A., Aminian, O., Rahimi-Golkhandan, A., et al. (2014). The Berlin questionnaire: Performance of the Persian version for measuring obstructive sleep apnea in sleep clinic population. Journal of Sleep Disorders: Treatment and Care, 3, 4.
12.
Amra, B., Nouranian, E., Golshan, M., Fietze, I., & Penzel, T. (2013). Validation of the Persian version of Berlin sleep questionnaire for diagnosing obstructive sleep apnea. International Journal of Preventive Medicine, 4, 334–339.PubMedCentralPubMed
13.
Chung, F., Yegneswaran, B., Liao, P., Chung, S. A., Vairavanathan, S., Islam, I., et al. (2008). STOP questionnaire: A tool to screen patients for obstructive sleep apnea. Anesthesiology, 108, 812–821.PubMedCrossRef
14.
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, 3186–3191.PubMedCrossRef
15.
Iber, C. A.-I. S., Chesson, A. L, Jr, & Quan, S. F. (2007). The AASM manual for the scoring of sleep and associated events, rules, terminology and technical specifications (1st ed.). Westchester: American Academy of Sleep Medicine.
16.
Young, T., Evans, L., Finn, L., & Palta, M. (1997). Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women. Sleep, 20, 705–706.PubMed
17.
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, 485–491.PubMedCrossRef
18.
Martinez, D., da Silva, R. P., Klein, C., Fiori, C. Z., Massierer, D., Cassol, C. M., et al. (2012). High risk for sleep apnea in the Berlin questionnaire and coronary artery disease. Sleep and Breathing, 16, 89–94.PubMedCrossRef
19.
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, 39–45.PubMedCrossRef
20.
Chung, F., Yegneswaran, B., Liao, P., Chung, S. A., Vairavanathan, S., Islam, I., 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, 822–830.PubMedCrossRef
21.
Pecotic, R., Dodig, I. P., Valic, M., Ivkovic, N., & Dogas, Z. (2011). The evaluation of the Croatian version of the Epworth sleepiness scale and STOP questionnaire as screening tools for obstructive sleep apnea syndrome. Sleep and Breathing, 16, 793–802.PubMedCrossRef
22.
Boynton, G., Vahabzadeh, A., Hammoud, S., Ruzicka, D. L., & Chervin, R. D. (2013). Validation of the STOP-BANG Questionnaire among patients referred for suspected obstructive sleep apnea. Journal of Sleep Disorders: Treatment and Care, 2, 4.
23.
Ong, T. H., Raudha, S., Fook-Chong, S., Lew, N., & Hsu, A. A. (2010). Simplifying STOP-BANG: Use of a simple questionnaire to screen for OSA in an Asian population. Sleep and Breathing, 14, 371–376.PubMedCrossRef
24.
Farney, R. J., Walker, B. S., Farney, R. M., Snow, G. L., & Walker, J. M. (2011). The STOP-Bang equivalent model and prediction of severity of obstructive sleep apnea: Relation to polysomnographic measurements of the apnea/hypopnea index. Journal of Clinical Sleep Medicine, 7, 459–465.PubMedCentralPubMed
25.
Vana, K. D., Silva, G. E., & Goldberg, R. (2013). Predictive abilities of the STOP-Bang and Epworth Sleepiness Scale in identifying sleep clinic patients at high risk for obstructive sleep apnea. Research in Nursing & Health, 36, 84–94.CrossRef
Metagegevens
Titel
The STOP-BANG questionnaire: reliability and validity of the Persian version in sleep clinic population
Auteurs
Khosro Sadeghniiat-Haghighi
Ali Montazeri
Ahmad Khajeh-Mehrizi
Mahsa Ghajarzadeh
Zahra Banafsheh Alemohammad
Omid Aminian
Mojtaba Sedaghat
Publicatiedatum
01-08-2015
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 8/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-0923-9

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