Psychometric properties and factor structure of the brief Wisconsin Inventory of Smoking Dependence Motives among Spanish smokers from the general population.

INTRODUCTION

The brief version of the Wisconsin Inventory of Smoking Dependence Motives (B-WISDM) is a well-established instrument to measure the multidimensional nature of nicotine dependence. However, no previous research has assessed its psychometric properties in the Spanish context. The aim of the present study was to analyze the factor structure and measurement invariance across gender of this instrument among Spanish smokers from the general population.

METHODS

This cross-sectional study assessed 480 smokers through an online questionnaire including information on tobacco use and several nicotine dependence measures. Confirmatory Factor Analysis was used to assess the factorial structure of the Spanish B-WISDM, its internal consistency, measurement invariance across gender and convergent validity with the Fagerström Test for Nicotine Dependence (FTND) and the Glover-Nilsson Smoking Behavioral Questionnaire (GN-SBQ) scores.

RESULTS

Results indicate that the eleven correlated factors solution had a better fit when compared to the other tested models (two correlated factors and two second-order factors with eleven first-order correlated factors solution), remaining such structure invariant across gender. Internal consistency of the scale was high (α = 0.950; dimension α values ranged between 0.657 and 0.921). Overall scores and dimensions of the scale significantly and positively correlated with other nicotine dependence measures (except for Social/Environmental Goads and FTND).

CONCLUSIONS

This is the first version of the B-WISDM validated to assess nicotine dependence with a multidimensional perspective within the Spanish culture. Results show adequate psychometric properties regarding its factor structure and measurement invariance across gender, supporting its utility to evaluate the motives driving tobacco use among Spanish smokers from the general population.