Evidence Hub

Adaptation and Validation of the Gastroesophageal Reflux Disease Questionnaire (GerdQ) for Arabic-Speaking Populations

Ahmad F. Alenezi, Rakan M Alotaibi, Mai Helmy, Hadeel Ghazzawi, Salma Yasser Abu-Saleh, Khaled Trabelsi, Haitham Jahrami

Cureus, 2026

201 participants

Abstract

OBJECTIVE: The objective of this study was to translate, adapt, and validate the Gastroesophageal Reflux Disease Questionnaire (GerdQ) in Arabic. METHOD: This study involved translating the original English version of the GerdQ into Arabic. A cross-sectional study design was employed utilizing an online Google Forms (Google LLC, Mountain View, California, United States) survey distributed across 22 Arabic-speaking countries. RESULTS: A total of 201 participants with a mean age of 23.94 ± 8.03 years from various Arabic countries completed the questionnaire. Of these, 145 participants were female (72%). The Arabic version of the GerdQ demonstrated excellent reliability, with an internal consistency of 0.86. The test-retest reliability of the questionnaire over the two-week interval was 0.92. The Comparative Fit Index (0.96), Tucker-Lewis index (0.94), and other incremental fit indices were all above the 0.95 threshold, which is indicative of good fit. The questionnaire demonstrated moderate diagnostic performance for detecting GERD (area under the curve (AUC) = 0.67). An optimal cutoff score of 10 maximized the sensitivity, specificity, and other metrics. CONCLUSION: The newly adapted Arabic version of the GerdQ is anticipated to enhance the effectiveness of this tool in both research and clinical settings within Arabic-speaking regions, facilitating better understanding and management of gastroesophageal reflux disease.

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 201 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free