Environmental stressors, socioeconomic factors, and alcohol-related problems among Argentinian college students

Karina Conde, Mariana Cremonte

DOI: https://doi.org/10.17711/SM.0185-3325.2017.020


Introduction. The relationship between alcohol consumption, individual characteristics, and alcohol-related problems may vary according to environmental characteristics in certain populations.

Objective. To explore the existence of a hierarchical structure in the links between environmental stressors, individual socioeconomic factors, regular alcohol consumption, use of other substances, and alcohol-related problems in Argentinian university students.

Method. With a correlational design and data from a random sample of students from a public university (N = 1578, 58% female), we used a multilevel modeling strategy as follows: alcohol-related problems; regular alcohol consumption (quantity/frequency) as fixed effect, use of other psychoactive substances, sociodemographic factors (individual socioeconomic status, age, and gender); and environmental stressors as random effects (index of overcrowding as an indicator of poverty and reported crime as an indicator of violence in the neighborhood).

Results. The rate of overcrowding proved to be the best Level 2 predictor for the alcohol-related problems model. Socioeconomic status, quantity and frequency of consumption, use of other substances, and age directly predicted alcohol-related problems (Level 1). Gender was neither a direct predictor nor a moderator of the links.

Discussion and conclusion. At least one environmental stressor (neighborhood poverty) partly explains the variability observed in alcohol-related problems. The quantity and frequency of alcohol consumption and the use of other psychoactive substances were the strongest predictors of alcohol-related problems.


Environment; socioeconomic factors; alcohol drinking in college; Argentina

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American Psychiatric Association. (2013). The Diagnostic and Statistical Manual of Mental Disorders: DSM 5. Arlington, VA: American Psychiatric Publishing.

Becker, H. C., Lopez, M. F., & Doremus-Fitzwater, T. L. (2011). Effects of stress on alcohol drinking: A review of animal studies. Psychopharmacology, 218(1), 131-156.

Brenner, A. B., Bauermeister, J. A., & Zimmerman, M. A. (2011). Neighborhood variation in adolescent alcohol use: Examination of socioecological and social disorganization theories. Journal of Studies on Alcohol and Drugs, 72(4), 651-659.

Buuren, S. v., Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45(3).

Castellano, H. M., & de Méndez, M. C. (1994). Sociedad y estratificación: Método Graffar-Méndez Castellano Fundacredesa.

Chang de la Rosa, Martha, & Cañizares Pérez, M. (2010). Consumo de bebidas alcohólicas y ambiente social. Un enfoque multinivel. Revista Cubana De Higiene Y Epidemiología, 48(2), 114-122.

Dantzer, C., Wardle, J., Fuller, R., Pampalone, S. Z., & Steptoe, A. (2006). International study of heavy drinking: Attitudes and sociodemographic factors in university students. Journal of American College Health, 55(2), 83-90.

Diez Roux, A. V. (2001). Investigating neighborhood and area effects on health. American Journal of Public Health, 91(11), 1783-1789.

Duncan, S. C., Duncan, T. E., & Strycker, L. A. (2002). A multilevel analysis of neighborhood context and youth alcohol and drug problems. Prevention Science, 3(2), 125-133.

Enders, C. K. (2003). Using the expectation maximization algorithm to estimate coefficient alpha for scales with item-level missing data. Psychological methods, 8(3), 322-337.doi: http://dx.doi.org/10.1037/1082-989X.8.3.322

Erskine, S., Maheswaran, R., Pearson, T., & Gleeson, D. (2010). Socioeconomic deprivation, urban-rural location and alcohol-related mortality in england and wales. BMC Public Health, 10(1), 99. doi:http://dx.doi.org/10.1186/1471-2458-10-99

Etienne, C. F. (2013). Los determinantes sociales de la salud en las américas. Rev Panam Salud Publica, 34(6), 377-378.

Finch, W. H., Bolin, J. E., & Kelley, K. (2014). Multilevel modeling using R Crc Press.

Fone, D. L., Farewell, D. M., White, J., Lyons, R. A., & Dunstan, F. D. (2013). Socioeconomic patterning of excess alcohol consumption and binge drinking: A cross-sectional study of multilevel associations with neighbourhood deprivation. BMJ Open, 3(4), 10.1136/bmjopen-2012-002337. doi:10.1136/bmjopen-2012-002337.

Fuentes, M. C., Alarcón, A., García, F., & Gracia, E. (2015). Consumo de alcohol, tabaco, cannabis y otras drogas en la adolescencia: Efectos de la familia y peligro del barrio. Anales De Psicología, 31(3), 1000-1007.

Galea, S., Ahern, J., Tracy, M., & Vlahov, D. (2007). Neighborhood income and income distribution and the use of cigarettes, alcohol, and marijuana. American Journal of Preventive Medicine, 32(6), S195-S202.

Galobardes, B., Shaw, M., Lawlor, D. A., Lynch, J. W., & Davey Smith, G. (2006). Indicators of socioeconomic position (part 1). Journal of Epidemiology and Community Health, 60(1), 7-12. doi:60/1/7 [pii]

Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112(1), 64.

Hunt, W. A. (1993). Are binge drinkers more at risk of developing brain damage? Alcohol, 10(6), 559-561.

Jackson, N., Denny, S., & Ameratunga, S. (2014). Social and socio-demographic neighborhood effects on adolescent alcohol use: A systematic review of multi-level studies. Social Science & Medicine, 115, 10-20.

Jones-Webb, R., Snowden, L., Herd, D., Short, B., & Hannan, P. (1997). Alcohol-related problems among black, Hispanic and white men: The contribution of neighborhood poverty. Journal of Studies on Alcohol and Drugs, 58(5), 539.

Kessler, R. C., & Üstün, T. B. (2004). The world mental health (WMH) survey initiative version of the world health organization (WHO) composite international diagnostic interview (CIDI). International Journal of Methods in Psychiatric Research, 13(2), 93-121.

Kuntsche, E., Rehm, J., & Gmel, G. (2004). Characteristics of binge drinkers in Europe. Social Science & Medicine, 59(1), 113-127.

Maas, C. J., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1(3), 86-92.

Martin, C. S., Kaczynski, N. A., Maisto, S. A., & Tarter, R. E. (1996). Polydrug use in adolescent drinkers with and without DSM‐IV alcohol abuse and dependence. Alcoholism: Clinical and Experimental Research, 20(6), 1099-1108.

Midanik, L. T., Tam, T. W., & Weisner, C. (2007). Concurrent and simultaneous drug and alcohol use: Results of the 2000 national alcohol survey. Drug and Alcohol Dependence, 90(1), 72-80.

Mullings, J. A., McCaw-Binns, A. M., Archer, C., & Wilks, R. (2013). Gender differences in the effects of urban neighborhood on depressive symptoms in jamaica. Revista Panamericana De Salud Pública, 34(6), 385-392.

Observatorio Argentino de Drogas. (2005). Primer estudio acerca del consumo de sustancias psicoactivas en estudiantes universitarios del área metropolitana de buenos aires. (). Buenos Aires: La Secretaría de Programación para la Prevención de la Drogadicción y la Lucha contra el Narcotráfico.

Observatorio Argentino de Drogas. (2010). Estudio nacional en población de 12 a 65 años, sobre consumo de sustancias psicoactivas. (). Buenos Aires: Secretaría de Programación para la Prevención de la Drogadicción y la Lucha contra el Narcotráfico.

Observatorio Argentino de Drogas. (2011). Tendencia en el consumo de sustancias psicoactivas en argentina 2004-2010. (). Buenos Aires: Secretaría de Programación para la Prevención de la Drogadicción y la Lucha contra el Narcotráfico.

Redonnet, B., Chollet, A., Fombonne, E., Bowes, L., & Melchior, M. (2012). Tobacco, alcohol, cannabis and other illegal drug use among young adults: The socioeconomic context. Drug and Alcohol Dependence, 121(3), 231-239.

Robins, L. N., Wing, J., Wittchen, H. U., Helzer, J. E., Babor, T. F., Burke, J., . . . Regier, D. A. (1988). The composite international diagnostic interview. an epidemiologic instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry, 45(12), 1069-1077.

Rose, M. E., & Grant, J. E. (2010). Alcohol-induced blackout. phenomenology, biological basis, and gender differences. Journal of Addiction Medicine, 4(2), 61-73. doi:10.1097/ADM.0b013e3181e1299d; 10.1097/ADM.0b013e3181e1299d

Simons, L., Klichine, S., Lantz, V., Ascolese, L., Deihl, S., Schatz, B., & Wright, L. (2005). The relationship between social-contextual factors and alcohol and polydrug use among college freshmen. Journal of Psychoactive Drugs, 37(4), 415-424.

Smart, R. G., & Ogborne, A. C. (2000). Drug use and drinking among students in 36 countries. Addictive Behaviors, 25(3), 455-460.

Stockdale, S. E., Wells, K. B., Tang, L., Belin, T. R., Zhang, L., & Sherbourne, C. D. (2007). The importance of social context: Neighborhood stressors, stress-buffering mechanisms, and alcohol, drug, and mental health disorders. Social Science & Medicine, 65(9), 1867-1881.

Tacchini, G., Coppola, M. T., Musazzi, A., Altamura, A. C., & Invernizzi, G. (1994). Multinational validation of the composite international diagnostic interview (CIDI). Minerva psichiatrica, 35(2), 63-80.

World Health Organization. (2014). Global status report on alcohol and health-2014. World Health Organization.