# Validation of the Arabic version of the smoking cessation motivation questionnaire among Tunisian student smokers

**Authors:** Selma Gallas, Hela Ghali, Houyem Said Latiri, Fithria Fithria, Selma Gallas, Phindile Zifikile Shangase, Selma Gallas

PMC · DOI: 10.12688/f1000research.167614.1 · 2025-10-14

## TL;DR

This study validated an Arabic version of a questionnaire to assess smoking cessation motivation among Tunisian students, showing it is reliable and suitable for use.

## Contribution

The study provides the first validated Arabic version of the Q-MAT questionnaire for assessing smoking cessation motivation.

## Key findings

- The Arabic Q-MAT showed excellent reliability with a Cronbach’s alpha of 0.840 and a test-retest correlation of 0.831.
- Principal component analysis identified two factors explaining 89.148% of the total variance in the questionnaire.

## Abstract

Smoking remains a major public health problem, particularly among Tunisian health students, with a prevalence of 26%. Assessing motivation to quit smoking requires tools that have been validated in the local language. This study aimed to translate and validate the psychometric properties of the Motivation to Quit Smoking Questionnaire (Q-MAT) into Arabic.

A cross-sectional methodological study was conducted among 203 smoking health science students in March 2022. The cross-cultural validation process followed Vallerand’s seven steps, including translation/back-translation, expert panel review, pre-testing, and psychometric analyses. Reliability was assessed by internal consistency (Cronbach’s alpha) and temporal stability (test-retest). Content validity was measured by the CVI index, and construct validity by exploratory factor analysis.

The sample included 197 students (mean age: 18.95±1.07 years, sex ratio: 0.89). The Arabic Q-MAT demonstrated excellent reliability with a Cronbach’s alpha of 0.840, a test-retest correlation of 0.831, and an intraclass correlation coefficient of 0.886. Content validity was satisfactory (CVI = 0.89). Principal component analysis revealed that two factors explained 89.148% of the total variance.

This initial validation of the Q-MAT in literary Arabic provides a reliable and valid tool for assessing motivation to quit smoking among Arabic-speaking populations, facilitating the development of targeted public health interventions.

## Full-text entities

- **Diseases:** Smoking (MESH:D015208), MAT (MESH:C535434), addiction (MESH:D019966), anxiety (MESH:D001007), smoker (MESH:C000719328)
- **Chemicals:** nicotine (MESH:D009538)
- **Species:** Nicotiana tabacum (American tobacco, species) [taxon 4097], Homo sapiens (human, species) [taxon 9606]

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Source: https://tomesphere.com/paper/PMC12805226