# Modified STOP-Bang questionnaire for detecting obstructive sleep apnea in individuals with a body mass index below 35 kg/m2

**Authors:** Napassorn Sinsopa, Viriya Tripakornkusol, Sittichai Khamsai, Kittisak Sawanyawisuth

PMC · DOI: 10.7717/peerj.20310 · 2025-11-11

## TL;DR

This study suggests modifying the STOP-Bang questionnaire to better detect sleep apnea in people with a BMI under 35.

## Contribution

The study proposes revised cut-off values for age, BMI, and neck circumference in the STOP-Bang questionnaire for non-obese individuals.

## Key findings

- Age ≥ 40 years, BMI ≥ 23 kg/m², and neck circumference ≥ 35 cm were optimal cut-offs for predicting OSA.
- The modified STOP-Bang score had significantly higher sensitivity than the original for detecting OSA severity levels.
- 158 out of 188 patients in the study were diagnosed with obstructive sleep apnea.

## Abstract

Obstructive sleep apnea (OSA) is a common clinical condition. Due to its high prevalence, the waiting list for polysomnography is often long. A screening tool is needed to identify individuals at high risk for OSA who should undergo polysomnography. The STOP-Bang questionnaire is a widely used screening tool; however, it may require modification for individuals with a body mass index (BMI) below 35 kg/m2. This study aimed to evaluate whether the STOP-Bang questionnaire should be modified for patients with a BMI under 35 kg/m2.

This retrospective analytical study included adult patients suspected of having OSA who underwent polysomnography. Exclusion criteria included pregnancy and a BMI over 35 kg/m2 or meeting criteria for bariatric surgery. Patients were categorized into OSA and non-OSA groups. Logistic regression analysis was used to assess the predictive value of STOP-Bang factors for OSA.

A total of 188 patients were included, of whom 158 (84.04%) were diagnosed with OSA. Among the eight STOP-Bang criteria, only age was independently associated with OSA after adjustment for other variables (adjusted odds ratio: 1.04; 95% CI [1.02–1.08]). Optimal cut-off points for predicting OSA were identified as age ≥ 40 years (sensitivity: 84.18%), BMI ≥ 23 kg/m2 (sensitivity: 82.91%), and neck circumference ≥ 35 cm (sensitivity: 86.08%). A modified STOP-Bang score incorporating these cut-offs showed improved sensitivity at a score of 3: 93.0% for apnea-hypopnea index (AHI) ≥ 5 events/hr, 95.9% for AHI ≥ 15 events/hr, and 97.6% for AHI ≥ 30 events/hr. In comparison, the original STOP-Bang score of 3 had sensitivities of 50.0%, 53.6%, and 56.1% for AHI ≥ 5 events/hr, AHI ≥ 15 events/hr, and AHI > 30 events/hr, respectively.

The STOP-Bang questionnaire may require modification for individuals with a BMI below 35 kg/m2 who are suspected of having OSA. Revised cut-off values for age, neck circumference, and BMI—40 years, 35 cm, and 23 kg/m2, respectively—may enhance its diagnostic performance.

## Linked entities

- **Diseases:** obstructive sleep apnea (MONDO:0007147)

## Full-text entities

- **Diseases:** OSA (MESH:D020181)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12617366/full.md

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Source: https://tomesphere.com/paper/PMC12617366