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Home > Vol 44, No 5 (2026): Sep-Oct (Upcoming Issue) > Tangpothitham

Validation of the STOP, STOP-BANG Questionnaire and Its Modifications for Screening Obstructive Sleep Apnea in Southern Thailand

Sakarin Tangpothitham, Premthip Chalidapongse, Nattapon Rotpenpian, Noodchanath Kongchouy, Pankaew Yakkaphan

Abstract

Objective: To evaluate the diagnostic performance of STOP, STOP-BANG, and their modifications against apnea-hypopnea index (AHI) cutoffs of ≥5 and ≥15.
Material and Methods: This retrospective cross-sectional study analyzed OSA patients (≥18 years) treated at the Dental Sleep Medicine Clinic, Prince of Songkla University, Thailand, from December 2007 to April 2021. Screening tools included STOP, STOP-BANG, and modified versions with different body mass index (BMI) and NC cutoffs. Patients were classified by AHI (≥5 and ≥15), and the accuracy of each questionnaire was evaluated against these thresholds.
Results: Of the 112 eligible patients, 66.1% were male, with a mean age of 46.9±11.9 years. For AHI ≥5, sensitivities were high: STOP (93.1%), STOP-BANG (89.8%), and modified STOP-BANG with BMI ≥30/NC ≥40 (90.8%), BMI ≥26/NC ≥40 (93.9%), and BMI ≥35/NC ≥35 (93.8%). Specificities were moderate: STOP (45.5%), STOP-BANG (54.5%), and 45.5% for all modified versions. For AHI ≥15, sensitivities remained high: STOP (91.3%), STOP-BANG (89.4%), BMI ≥30/NC ≥40 (87.9%), BMI ≥26/NC ≥40 (93.9%), and BMI ≥35/NC ≥35 (92.3%). However, specificities were low: STOP (14.0%), STOP-BANG (16.3%), modified STOP-BANG with BMI ≥ 30/NC ≥ 40 (18.6%), BMI ≥26/NC ≥40 (16.3%), and BMI ≥35/NC ≥35 (14.3%).
Conclusion: The modified STOP-BANG (BMI ≥26 kg/m², NC ≥40 cm) showed the highest sensitivity and may be the most suitable OSA screening tool in our region.

 Keywords

body mass index; diagnostic accuracy; neck circumference; obstructive sleep apnea; STOP; STOP-BANG

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DOI: http://dx.doi.org/10.31584/jhsmr.20261358

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About The Authors

Sakarin Tangpothitham
Department of Oral Diagnostic Sciences, Faculty of Dentistry, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Premthip Chalidapongse
Department of Oral Diagnostic Sciences, Faculty of Dentistry, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Nattapon Rotpenpian
Department of Oral Biology and Occlusion, Faculty of Dentistry, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Noodchanath Kongchouy
Division of Computational Sciences, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

Pankaew Yakkaphan
Department of Oral Diagnostic Sciences, Faculty of Dentistry, Prince of Songkla University, Hat Yai, Songkhla 90110,
Thailand

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