Influence of attitudes and alcohol consumption on tobacco use among university students in Ecuador: an explanatory model with SEM
DOI:
https://doi.org/10.21134/haaj.v23i1.741Keywords:
Attitude, alcohol, consumption, tobacco, relationAbstract
Objective: Establish an explanatory model through latent variables analysis of tobacco consumption based on al- cohol consumption and alcohol consumption based on attitudes towards consumption in a sample of university students in Ecuador. Method: Descriptive correlational and explanatory design using SEM (Structural Equation Mo- deling) techniques. Participants: 546 students (69.2% women) aged between 17 and 41 years old (M= 21.3 years old; SD= 2.6), from four universities (45.1% public ones) in two cities of Ecuador. Results: The predominance of alcohol consumption is high; the prevalence of tobacco consumption is low, and attitudes towards alcohol consumption are ambivalent. Alcohol attitudes predict alcohol consumption (R2= .57) and alcohol consumption predicts tobacco consumption (R2= .26). Attitudes and consumption provide an explanatory model for tobacco consumption with ê“2=
662.59; p< .001; df= 480; ê“2/gl= 1.4; CFI= .95; TLI= .94; SRMR= .049; RMSEA= .026 [.021 - .031]. Conclusions: The
study of attitudes and consumption behaviors are important for a better understanding about alcohol and tobacco consumption in university students.
Downloads
References
Ajzen, I. (2015). Consumer attitudes and behavior: the theory of planned behavior applied to food consumption decisions. Italian Review of Agricultural Economics, 70(2), 121-138. https://doi.org/10.13128/REA-18003
Ajzen, I., & Cote, N. (2008). Attitudes and the prediction of behavior. En W. Crano, & R. Prislin (Edits.), Attitudes and attitude change (págs. 289-311). Psychology Press.
Ato, M., López, J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. https://doi.org/10.6018/analesps.29.3.178511.
Babor, T., Higgins-Biddle, J., Saunders, J., & Monteiro, M. (2001). AUDIT Cuestionario de Identificación de los Trans- tornos debidos al Consumo de Alcohol. Pautas para su utilización en Atención Primaria. Ginebra, Suiza: WHO - Ge- neralitat Valenciana Conselleria de Benestar Social.
Bautista-Pérez, F. (2014). Prevalencia del consumo de cigarrillos y otras formas de tabaco en estudiantes universita- rios. Crea Ciencia Revista Científica, 9(1), 19-27.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (Vol. 2nd). New York: Guilford Publications.
Byrne, B. (2008). Testing for multigroup equivalence of a measuring instrument: a walk through the process. Psico- thema, 20(4), 872-882.
Cain, M. K., Zhang, Z., & Yuan, K. H. (2017). Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behavior research methods, 49(5), 1716-1735. https://doi. org/10.3758/s13428-016-0814-1.
Castro-Sánchez, M., Puertas-Molero, P., Ubago-Jiménez, J. L., Pérez-Cortés, A. J., Linares-Manrique, M., & Zurita-Or- tega, F. (2017). Consumo de tabaco y alcohol en universitarios. Journal of Sport & Health Research, 9(supl 1), 151- 162.
Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health psychology review, 10(2), 148-167. https:// doi.org/10.1080/17437199.2014.947547
Dempsey, R. C., McAlaney, J., Helmer, S. M., Pischke, C. R., Akvardar, Y., Bewick, B. M., . . . Van Hal, G. (2016). Norma- tive perceptions of cannabis use among European university students: associations of perceived peer use and peer attitudes with personal use and attitudes. Journal of studies on alcohol and drugs, 77(5), 740-748. doi: 10.15288/ jsad.2016.77.740.
DiBello, A. M., Miller, M. B., Neighbors, C., Reid, A., & Carey, K. B. (2018). The relative strength of attitudes ver- sus perceived drinking norms as predictors of alcohol use. Addictive behaviors, 80, 39-46. doi: 10.1016/j.add- beh.2017.12.022.
Dominguez-Lara, S. (2018). Propuesta de puntos de corte para cargas factoriales: una perspectiva de fiabilidad de constructo. Enfermería Clínica, 28(6), 401-402. https://doi.org/10.1016/j.enfcli.2018.06.002.
Ferrando, P. J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Pa- peles del Psicólogo, 31(1), 18-33.
Gajecki, M., Berman, A. H., Sinadinovic, K., Rosendahl, I., & Andersson, C. (2014). Mobile phone brief intervention applications for risky alcohol use among university students: a randomized controlled study. Addiction science & clinical practice, 9(1), 1-12. https://doi.org/10.1186/1940-0640-9-11
García del Castillo, J. A., Dias, P. C., Díaz-Pérez, J., Sofia Bastos, A., García del Castillo-López, Á., López-Sánchez, C., & Maciá, D. (2012). Adaptation of scales of attitudes toward tobacco, alcohol and other drugs to portuguese adoles- cents / Adaptación de las escalas de actitudes hacia el tabaco, el alcohol y otras drogas en adolescentes portugue- ses. Health and Addictions/Salud y Drogas, 12(1), 79-99. doi: 10.21134/haaj.v12i1.11.
Gea, A., Bes-Rastrollo, M., Toledo, E., Garcia-Lopez, M., Beunza, J. J., Estruch, R., & Martinez-Gonzalez, M. A. (2014). Mediterranean alcohol-drinking pattern and mortality in the SUN (Seguimiento Universidad de Navarra) Project: a prospective cohort study. British Journal of Nutrition, 111(10), 1871–1880. https://doi.org/10.1017/ s0007114513004376
Gómez, C., Landeros, R., Noa, P., & Martínez Severiano, P. (2017). Consumo de alcohol, tabaco y otras drogas en jóvenes universitarios. Revista de Salud Pública y Nutrición, 16(4), 1-9.
Guzmán Facundo, F. R., García Salas, B. A., Aguilar, L. R., & Alonso Castillo, M. M. (2014). Actitud, norma subjetiva y control conductual como predictores del consumo de drogas en jóvenes de zona marginal del norte de México. Frontera norte, 26(51), 53-74. doi: 10.4067/s0717-95532012000100006 .
Halperin, A. C., Smith, S. S., Heiligenstein, E., Brown, D., & Fleming, M. F. (2010). Cigarette smoking and asso- ciated health risks among students at five universities. Nicotine & Tobacco Research, 12(2), 96-104. https://doi. org/10.1093/ntr/ntp182
Holtmann, J., Koch, T., Lochner, K., & Eid, M. (2016). A comparison of ML, WLSMV, and Bayesian methods for multi- level structural equation models in small samples: A simulation study. Multivariate behavioral research, 51(5), 661- 680. DOI: 10.1080/00273171.2016.1208074.
Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagona- lly weighted least squares. Behavior research methods, 48(3), 936-949. https://doi.org/10.3758/s1342.
Londoño, C., Rodríguez, I., & Gantiva, C. (2011). Cuestionario para la clasificación de consumidores de cigarrillo (C4) para jóvenes. Diversitas: Perspectivas en psicología, 7(2), 281-291.
López-Sánchez, C., García del Castillo, J., Mira, J., & Estévez, C. (2000). Validación de escalas de actitudes hacia el tabaco, el alcohol y otras drogas. En J. Fernández, J. Herrero, & A. Bravo (Edits.), Intervención psicosocial y comuni- taria: la promoción (págs. 283-286). Madrid: Biblioteca Nueva.
Mache, S., Eickenhorst, P., Vitzthum, K., Klapp, B. F., & Groneberg, D. A. (2012). Cognitive-enhancing substance use at German universities: frequency, reasons and gender differences. Wiener Medizinische Wochenschrift, 162(11), 262-271. https://doi.org/10.1007/s10354-012-0115-y
Mardia, K. (1970). Measures of Multivariate Skewness and Kurtosis with Applications Measures of Multivariate
Skewness and Kurtosis with Applications. Biometrika(57), 519. https://doi.org/10.2307/2334770.
Mayorga-Lascano, M., Moreta-Herrera, R., León-Tamayo, L., & Troncozo-Guevara, M. (2019). Actitudes favorables y consumo de alcohol en adolescentes ecuatorianos. Análisis correlacional y comparativo entre grupos de riesgo y no riesgo. Health & addictions/Salud y drogas, 19(2), 139-148. https://doi.org/10.21134/haaj.v19i2.455.
Mekonen, T., Fekadu, W., Chane, T., & Bitew, S. (2017). Problematic alcohol use among university students. Frontiers in psychiatry, 8, 86. https://doi.org/10.3389/fpsyt.2017.00086
Moreta-Herrera, R., & Reyes-Valenzuela, C. (2022). El sesgo atencional en los trastornos relacionados con sustan- cias. Aspectos teóricos, evaluativos y de tratamiento. Interdisciplinaria, 39(1), 77-90. https://doi.org/10.16888/in- terd.2022.39.1.5
Moreta-Herrera, R., Almache-Moya, A., Vargas-Espín, A., & Vaca-Quintana, D. (2020). Levels and patterns of alcohol consumption: a descriptive study in Ecuadorian teenagers. International Journal of Mental Health and Addiction, 18(2), 422-431. https://doi.org/10.1007/s11469-019-00197-9
Moreta-Herrera, R., Mayorga-Lascano, M., León-Tamayo, L., & Ilaja-Verdesoto, B. (2018). Consumo de sustancias legales, ilegales y fármacos en adolescentes y factores de riesgo asociados a la exposición reciente. Health and Ad- dictions/Salud y Drogas, 18(1), 18(1), 39-50. https://doi.org/10.21134/haaj.v18i1.333
Moreta-Herrera, R., Mayorga-Lascano, M., Reyes-Valenzuela, C., & Durán-Rodríguez, T. (2021a). Actitudes hacia el consumo, búsqueda de sensaciones y consumo de alcohol. Modelo de mediación parcial en adolescentes ecuato- rianos. Revista Española de Drogodependencias, 46(2), 58-71.
Moreta-Herrera, R., Rodas, J., & Lara-Salazar, M. (2021b). Factor validity of Alcohol use Disorders Identification Test (AUDIT) using robust estimations in Ecuadorian adolescents. Alcohol & Alcoholism, 56(4), 482-489. https://doi. org/10.1093/alcalc/agaa126
Mueller, R. O., & Hancock, G. R. (2018). Structural equation modeling. In The reviewer’s guide to quantitative me- thods in the social sciences. En G. Hancock, L. Stapleton, & R. Mueller, The Reviewer’s Guide to Quantitative Me- thods in the Social Sciences (págs. 445-456). Routledge.
Nelson, S. E., Van Ryzin, M. J., & Dishion, T. J. (2015). Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: Demographic correlates and young adult substance use problems. Development and psychopathology, 27(1), 253-277. https://doi.org/10.1017/S0954579414000650
Panamerican Health Organization [PHO]. (2018). Información sobre la situación mundial del alcohol y la salud. Obte- nido de http://iris.paho.org/xmlui/bitstream/handle/123456789/51352/OPSNMH19012_spa.pdf?sequence=1&i- sAllowed=y
Patrick, M. E., & Schulenberg, J. E. (2014). Prevalence and predictors of adolescent alcohol use and binge drinking in the United States. Alcohol research: current reviews, 35(2), 193.
Powers, J. R., McDermott, L. J., Loxton, D. J., & Chojenta, C. L. (2013). A prospective study of prevalence and pre- dictors of concurrent alcohol and tobacco use during pregnancy. Maternal and Child Health Journal, 17(1), 76-84. https://doi.org/10.1007/s10995-012-0949-3
R Core Team. (2019 ). R: A language and environment for statistical computing. , R Foundation for Statistical Compu- ting. Vienna, Austria: R Foundation for Statistical Computing.
Roosen, K. M., & Mills, J. S. (2015). Exploring the motives and mental health correlates of intentional food res- triction prior to alcohol use in university students. Journal of health psychology, 20(6), 875-886. https://doi. org/10.1159/000503342
Saunders, J., Aasland, O., Babor, T., De la Fuente, J., & Grant, M. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consump- tion-II. Addiction, 88, 791-804. https://doi.org/10.1111/j.1360-0443.1993.tb02093.x.
Telumbre-Terrero, J., Esparza-Almanza, S., Alonso-Castillo, B., & Alonso-Castillo, M. (2017). Actitudes hacia el consu- mo de alcohol y consumo de alcohol en estudiantes de enfermería. Investigación en Enfermería. Imagen y Desarro- llo, 19(2), 69-81. doi: /10.11144/Javerian.
Tsiligianni, I. G., Vardavas, C. I., Bouloukaki, I., Kosmas, E., Verigou, E., Kiriakaki, M., . . . Tzanakis, N. (2012). The as- sociation between alcohol and tobacco use among elementary and high school students in Crete, Greece. Tobacco induced diseases, 10, 15. https://doi.org/10.1186/1617-9625-10-15
Wells, K. E., Morgan, G., Worrell, F. C., Sumnall, H., & McKay, M. T. (2018). The influence of time attitudes on al- cohol-related attitudes, behaviors and subjective life expectancy in early adolescence: A longitudinal examination using mover–stayer latent transition analysis. International Journal of Behavioral Development, 42(1), 93-105. doi: 10.1177/0165025416679740.
Wetzels, J. J., Kremers, S. P., Vitoria, P. D., & De Vries, H. (2003). The alcohol–tobacco relationship: a prospective study among adolescents in six European countries. Addiction, 98(12), 1755-1763. https://doi.org/10.1111/j.1360- 0443.2003.00553.x
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and psychological measurement, 73(6), 913-934. https://doi.org/10.1177/0013164413495237.
World Health Organization [WHO]. (1992). AUDIT. The Alcohol Use Disorders Identification Test: guidelines for use in primary health care. Geneva: WHO.
World Health Organization [WHO]. (2014). Global status report on alcohol and health 2014. Geneva: WHO Press. World Health organization [WHO]. (2020). Informe mundial de la Drogas 2020. Ginebra: WHO.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Health and Addictions Journal/Revista Salud y Drogas

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors publishing in this journal agree to the journal's statement of ethical principles and to the following terms:
The rights of the published material shall belong to their respective authors. Articles published in HAAJ may be used under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license, and may be read, copied, distributed, printed, searched, or linked to in the full text of this journal without prior permission from the publisher or author, provided that HAAJ and the authors are acknowledged and not used for commercial purposes.
Authors may include the work in institutional repositories or other publications as long as this journal is acknowledged and properly cited.
The HAAJ editorial team encourages authors to disseminate their published work through any means (conferences, classes, lectures, talks, etc.) and/or platforms (social networks, repositories, websites, etc.).
HAAJ follows the Core Practices of COPE (Committee on Publication Ethics).