Psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) across cross-cultural subgroups, genders, and sexual orientations: Findings from the International Sex Survey (ISS)
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Psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) across cross-cultural subgroups, genders, and sexual orientations: Findings from the International Sex Survey (ISS). / Horváth, Zsolt; Nagy, Léna; Koós, Mónika; Kraus, Shane W. ; Demetrovics, Zsolt; Potenza, Marc N. ; Ballester-Arnal, Rafael; Batthyány, Dominik; Bergeron, Sophie; Billieux, Joel; Briken, Peer; Burkauskas, Julius; Cárdenas-López, Georgina; Carvalho, Joana ; Castro-Calvo, Jesús; Chen, Lijun; Ciocca, Giacomo; Corazza, Ornella; Csako, Rita; Fernandez, David P.; Fujiwara, Hironobu; Fernandez, Elaine F.; Fuß, Johannes; Gabrhelík, Roman; Gewirtz-Meydan, Ateret; Gjoneska, Biljana; Gola, Mateusz; Grubbs, Joshua B.; Hashim, Hashim T.; Islam, Md. Saiful; Ismail, Mustafa; Jiménez-Martínes, Martha C.; Jurin, Tanja; Kalina, Ondrej; Klein, Verena; Költo, Andreas; Lee, Sang-Kyu; Lewczuk, Karol; Lin, Chung-Ying; Lochner, Christine; López-Alvarado, Silvia; Lukavská, Katerina; Mayta-Tristán, Percy; Orosová, Ol'ga; Miller, Dan J.; Orosz, Gábor; Sungkyunkwan University’s research teambe'1'2; Ponce, Fernando P.; Quintana, Gonzalo R.; Garzola, Gabriel C. Quintero; Ramos-Diaz, Jano; Rigaud, Kévin; Rousseau, Ann; de Tubino Scanavino, Marco; Schulmeyer, Marion K.; Sharan, Pratap; Shibata, Mami; Shoib, Sheikh; Sigre-Leirós, Vera; Sniewski, Luke; Spasovski, Ognen; Steibliene, Vesta; Stein, Dan J.; Strizek, Julian; Tsai, Meng-Che; Ünsal, Berk C.; Vaillancourt-Morel, Marie-Pier; Van Hout, Marie Claire; Böthe, Beáta.
In: COMPR PSYCHIAT, Vol. 127, 152427, 23.09.2023.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) across cross-cultural subgroups, genders, and sexual orientations: Findings from the International Sex Survey (ISS)
AU - Horváth, Zsolt
AU - Nagy, Léna
AU - Koós, Mónika
AU - Kraus, Shane W.
AU - Demetrovics, Zsolt
AU - Potenza, Marc N.
AU - Ballester-Arnal, Rafael
AU - Batthyány, Dominik
AU - Bergeron, Sophie
AU - Billieux, Joel
AU - Briken, Peer
AU - Burkauskas, Julius
AU - Cárdenas-López, Georgina
AU - Carvalho, Joana
AU - Castro-Calvo, Jesús
AU - Chen, Lijun
AU - Ciocca, Giacomo
AU - Corazza, Ornella
AU - Csako, Rita
AU - Fernandez, David P.
AU - Fujiwara, Hironobu
AU - Fernandez, Elaine F.
AU - Fuß, Johannes
AU - Gabrhelík, Roman
AU - Gewirtz-Meydan, Ateret
AU - Gjoneska, Biljana
AU - Gola, Mateusz
AU - Grubbs, Joshua B.
AU - Hashim, Hashim T.
AU - Islam, Md. Saiful
AU - Ismail, Mustafa
AU - Jiménez-Martínes, Martha C.
AU - Jurin, Tanja
AU - Kalina, Ondrej
AU - Klein, Verena
AU - Költo, Andreas
AU - Lee, Sang-Kyu
AU - Lewczuk, Karol
AU - Lin, Chung-Ying
AU - Lochner, Christine
AU - López-Alvarado, Silvia
AU - Lukavská, Katerina
AU - Mayta-Tristán, Percy
AU - Orosová, Ol'ga
AU - Miller, Dan J.
AU - Orosz, Gábor
AU - Sungkyunkwan University’s research teambe'1'2, null
AU - Ponce, Fernando P.
AU - Quintana, Gonzalo R.
AU - Garzola, Gabriel C. Quintero
AU - Ramos-Diaz, Jano
AU - Rigaud, Kévin
AU - Rousseau, Ann
AU - de Tubino Scanavino, Marco
AU - Schulmeyer, Marion K.
AU - Sharan, Pratap
AU - Shibata, Mami
AU - Shoib, Sheikh
AU - Sigre-Leirós, Vera
AU - Sniewski, Luke
AU - Spasovski, Ognen
AU - Steibliene, Vesta
AU - Stein, Dan J.
AU - Strizek, Julian
AU - Tsai, Meng-Che
AU - Ünsal, Berk C.
AU - Vaillancourt-Morel, Marie-Pier
AU - Van Hout, Marie Claire
AU - Böthe, Beáta
PY - 2023/9/23
Y1 - 2023/9/23
N2 - IntroductionDespite being a widely used screening questionnaire, there is no consensus on the most appropriate measurement model for the Alcohol Use Disorders Identification Test (AUDIT). Furthermore, there have been limited studies on its measurement invariance across cross-cultural subgroups, genders, and sexual orientations.AimsThe present study aimed to examine the fit of different measurement models for the AUDIT and its measurement invariance across a wide range of subgroups by country, language, gender, and sexual orientation.MethodsResponses concerning past-year alcohol use from the participants of the cross-sectional International Sex Survey were considered (N = 62,943; Mage: 32.73; SD = 12.59). Confirmatory factor analysis, as well as measurement invariance tests were performed for 21 countries, 14 languages, three genders, and four sexual-orientation subgroups that met the minimum sample size requirement for inclusion in these analyses.ResultsA two-factor model with factors describing ‘alcohol use’ (items 1–3) and ‘alcohol problems’ (items 4–10) showed the best model fit across countries, languages, genders, and sexual orientations. For the former two, scalar and latent mean levels of invariance were reached considering different criteria. For gender and sexual orientation, a latent mean level of invariance was reached.ConclusionsIn line with the two-factor model, the calculation of separate alcohol-use and alcohol-problem scores is recommended when using the AUDIT. The high levels of measurement invariance achieved for the AUDIT support its use in cross-cultural research, capable also of meaningful comparisons among genders and sexual orientations.
AB - IntroductionDespite being a widely used screening questionnaire, there is no consensus on the most appropriate measurement model for the Alcohol Use Disorders Identification Test (AUDIT). Furthermore, there have been limited studies on its measurement invariance across cross-cultural subgroups, genders, and sexual orientations.AimsThe present study aimed to examine the fit of different measurement models for the AUDIT and its measurement invariance across a wide range of subgroups by country, language, gender, and sexual orientation.MethodsResponses concerning past-year alcohol use from the participants of the cross-sectional International Sex Survey were considered (N = 62,943; Mage: 32.73; SD = 12.59). Confirmatory factor analysis, as well as measurement invariance tests were performed for 21 countries, 14 languages, three genders, and four sexual-orientation subgroups that met the minimum sample size requirement for inclusion in these analyses.ResultsA two-factor model with factors describing ‘alcohol use’ (items 1–3) and ‘alcohol problems’ (items 4–10) showed the best model fit across countries, languages, genders, and sexual orientations. For the former two, scalar and latent mean levels of invariance were reached considering different criteria. For gender and sexual orientation, a latent mean level of invariance was reached.ConclusionsIn line with the two-factor model, the calculation of separate alcohol-use and alcohol-problem scores is recommended when using the AUDIT. The high levels of measurement invariance achieved for the AUDIT support its use in cross-cultural research, capable also of meaningful comparisons among genders and sexual orientations.
U2 - 10.1016/j.comppsych.2023.152427
DO - 10.1016/j.comppsych.2023.152427
M3 - SCORING: Journal article
VL - 127
JO - COMPR PSYCHIAT
JF - COMPR PSYCHIAT
SN - 0010-440X
M1 - 152427
ER -