EVIDENCIA PARA LA PREVENCIÓN UNIVERSAL, SELECTIVA E INDICADA DEL CONSUMO DE SUSTANCIAS ILíCITAS EN COLOMBIA

Orlando Scoppetta; Bertha Lucí­a Avendaño Prieto

doi:10.21134/haaj.v21i2.517

Authors

Orlando Scoppetta Facultad de Psicología, Universidad Católica de Colombia http://orcid.org/0000-0003-4876-5400
Bertha Lucía Avendaño Prieto Facultad de Psicología, Universidad Católica de Colombia https://orcid.org/0000-0002-8136-5380

DOI:

https://doi.org/10.21134/haaj.v21i2.517

Keywords:

alcohol drinking, Latent classes, ecological models, psychoactive substances, substance use disorders

Abstract

In Colombia there would be about half a million people with abuse or dependence on illicit drugs, so it is a priority to develop preventive interventions based on evidence. Universal, selective and indicated prevention requires the analysis of factors associated with consumption in the general population and among drug users. Objectives. Establish factors that are associated with the consumption of illegal substances in the general population and latent classes among drug users. Method. Cross-sectional study with 32,605 between 12 and 65 years, with regression, factorial and latent class analysis. Results. Having consumer friends and previous experience with psychoactive substances are the factors most associated with the use of illegal substances in the last year. Three latent classes of illicit drug users were identified, which vary with respect to current consumption and the experience of consumption of illicit substances. Conclusions. Factors with potential utility for the prevention of the consumption of illicit substances were identified. The analysis of the latent classes of consumers, allows to specify the factors to be considered in the indicated prevention.

Downloads

Download data is not yet available.

References

Asgedom, T. T. (2017). Substance abuse among undergraduate students at a university in Ethiopia. [Thesis, University of South Africa]. http://uir.unisa.ac.za/handle/10500/23580

Asparouhov, T., & Muthén, B. (2009). Exploratory Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 397-438. https://doi.org/10.1080/10705510903008204

Attaiaa, L.-A., Beck, F., Richard, J.-B., Marimoutou, C., & Mayet, A. (2016). Relationships between substance initiation sequence and further substance use: A French nationwide retrospective study. Addictive Behaviors, 57, 1-5. https://doi.org/10.1016/j.addbeh.2016.01.009

Brooks, B., McBee, M., Pack, R., & Alamian, A. (2017). The effects of rurality on substance use disorder diagnosis: A multiple-groups latent class analysis. Addictive Behaviors, 68, 24-29. https://doi.org/10.1016/j.addbeh.2017.01.019

Castaño-Castrillón, J. J., García, S., Luna, J., Morán, M., Ocampo, D., & Ortiz, L. (2017). Estudio de factores asociados y prevalencia de consumo de sustancias psicoactivas ilegales en estudiantes de una universidad colombiana. Revista de la Facultad de Medicina, 65(1), 23-30. https://doi.org/10.15446/revfacmed.v65n1.56471

Código de la Infancia y de la Adolescencia, Pub. L. No. 1098 de 2006 (2006).

Furr-Holden, C. D. M., Lee, M. H., Johnson, R., Milam, A. J., Duncan, A., Reboussin, B. A., Leaf, P. J., & Ialongo, N. S. (2015). Neighborhood Environment and Marijuana Use in Urban Young Adults. Prevention Science, 16(2), 268-278. https://doi.org/10.1007/s11121-014-0497-8

Garson, G.-D. (2012). Structural Equation Modeling. Statistical Associates Publishing.

Gobierno de Colombia. (2016). Encuesta Nacional de Salud Mental 2015 (Ministerio de Salud y Protección Social).

Gobierno de Colombia. (2018). Estudio nacional de consumo de sustancias psicoactivas en población escolar. Colombia 2016. Observatorio de Drogas de Colombia.

Gordon, R. S. (1983). An operational classification of disease prevention. Public Health Reports, 98(2), 107-109.

Guxens, M., Nebot, M., & Ariza, C. (2007). Age and sex differences in factors associated with the onset of cannabis use: A cohort study. Drug and Alcohol Dependence, 88(2-3), 234-243. https://doi.org/10.1016/j.drugalcdep.2006.10.018

Hannemann, T.-V., Kraus, L., & Piontek, D. (2017). Consumption Patterns of Nightlife Attendees in Munich: A Latent-Class Analysis. Substance Use & Misuse, 52(11), 1511-1521. https://doi.org/10.1080/10826084.2017.1290115

Hattori, M., Zhang, G., & Preacher, K. J. (2017). Multiple Local Solutions and Geomin Rotation. Multivariate Behavioral Research, 52(6), 720-731. https://doi.org/10.1080/00273171.2017.1361312

Henkel, D. (2011). Unemployment and substance use: A review of the literature (1990-2010). Current Drug Abuse Reviews, 4(1), 4-27.

Henkel, D., & Zemlin, U. (2016). Social Inequality and Substance Use and Problematic Gambling Among Adolescents and Young Adults: A Review of Epidemiological Surveys in Germany. Current Drug Abuse Reviews, 9(1), 26-48. https://doi.org/10.2174/1874473709666151209114023

Hernández Cabrera, J. A. (2019). UllRToolbox [Windows]. Universidad de La Laguna.

Kirst, M., Mecredy, G., Borland, T., & Chaiton, M. (2014). Predictors of Substance Use Among Young Adults Transitioning Away from High School: A Narrative Review. Substance Use & Misuse, 49(13), 1795-1807. https://doi.org/10.3109/10826084.2014.933240

Linzer, D., & Lewis, J. (2014). Polytomous variable Latent Class Analysis (Versión 1.4.1) [R].

Lloret, S., Ferreres, A., Hernández, A., & Tomás, I. (2017). The exploratory factor analysis of items: Guided analysis based on empirical data and software. Anales de Psicología, 33(2), 417-432.

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: Una guía práctica, revisada y actualizada. Anales de Psicología, 30(3). https://doi.org/10.6018/analesps.30.3.199361

Marschall-Lévesque, S., Castellanos-Ryan, N., Vitaro, F., & Séguin, J. R. (2014). Moderators of the association between peer and target adolescent substance use. Addictive Behaviors, 39(1), 48-70. https://doi.org/10.1016/j.addbeh.2013.09.025

Ministerio de Justicia y del Derecho, Ministerio de Salud y Protección Social, & Observatorio de Drogas de Colombia. (2013). Estudio nacional de consumo de sustancias psicoactivas en Colombia 2013. Unodc.

Morales-Vallejo, P. (2013). El Análisis Factorial en la construcción e interpretación de tests, escalas y cuestionarios. Universidad Pontificia Comillas.

Mrazek, P. B., & Haggerty, R. J. (Eds.). (1994). Reducing risks for mental disorders: Frontiers for preventive intervention research. National Academy Press.

Nargiso, J. E., Ballard, E. L., & Skeer, M. R. (2015). A systematic review of risk and protective factors associated with nonmedical use of prescription drugs among youth in the United States: A social ecological perspective. Journal of Studies on Alcohol and Drugs, 76(1), 5-20.

Observatorio Interamericano de Drogas. (2011). Sistema interamericano de datos uniformes: Protocolo de la encuesta de estudiantes de enseñanza media. OEA/CICAD.

Pérez, A., Scoppetta, O., & Flórez, L. (2011). Age at onset of alcohol consumption and risk of problematic alcohol and psychoactive substance use in adulthood in the general population in Colombia. The Journal of International Drug, Alcohol and Tobacco Research, 1(1), 19-24.

Russell, K., Dryden, D. M., Liang, Y., Friesen, C., O’Gorman, K., Durec, T., Wild, T. C., & Klassen, T. P. (2008). Risk factors for methamphetamine use in youth: A systematic review. BMC Pediatrics, 8(1). https://doi.org/10.1186/1471-2431-8-48

Sarvet, A. L., & Hasin, D. (2016). The natural history of substance use disorders: Current Opinion in Psychiatry, 29(4), 250-257. https://doi.org/10.1097/YCO.0000000000000257

Scoppetta, O, & Castaño, G. A. (2018). Early Drug Consumption and Subsequent Risk of Illicit Drug Use in Colombia: Addictive Disorders & Their Treatment, 1. https://doi.org/10.1097/ADT.0000000000000144

Scoppetta, O & Castaño Pérez, G. (2018). El enfoque de salud pública en la política de drogas en Colombia. Health and Addictions/Salud y Drogas, 18(1), 81. https://doi.org/10.21134/haaj.v18i1.349

Ssewanyana, D., Mwangala, P. N., Marsh, V., Jao, I., van Baar, A., Newton, C. R., & Abubakar, A. (2018). Socio-ecological determinants of alcohol, tobacco, and drug use behavior of adolescents in Kilifi County at the Kenyan coast. Journal of Health Psychology, 1359105318782594. https://doi.org/10.1177/1359105318782594

Stone, A. L., Becker, L. G., Huber, A. M., & Catalano, R. F. (2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors, 37(7), 747-775. https://doi.org/10.1016/j.addbeh.2012.02.014

Tomczyk, S., Hanewinkel, R., & Isensee, B. (2015). Multiple substance use patterns in adolescents—A multilevel latent class analysis. Drug and Alcohol Dependence, 155, 208-214. https://doi.org/10.1016/j.drugalcdep.2015.07.016

Varela Mallou, J., Marsillas Rascado, S., Isorna Folgar, M., & Rial Boubeta, A. (2013). El papel de las actitudes, las percepciones y el dinero disponible en el consumo de drogas en adolescentes. Health and Addictions, 13(1), 67-78.

Vázquez, N., Muñoz, L., Juárez, O., Ariza, C., Vázquez, N., Muñoz, L., Juárez, O., & Ariza, C. (2018). ¿Qué funciona en la prevención selectiva del consumo de alcohol y cánnabis en jóvenes vulnerables? Revista Española de Salud Pública, 92. http://scielo.isciii.es/scielo.php?script=sci_abstract&pid=S1135-57272018000100431&lng=es&nrm=iso&tlng=es

Vela, J. (2016). Risk and Protective Factors in the Non-Medical Use of Prescription Drugs Among Adolescents [Doctor of Philosophy Dissertation]. University of Rhode Island.

Wagner, K. D., Ritt-Olson, A., Chou, C.-P., Pokhrel, P., Duan, L., Baezconde-Garbanati, L., Soto, D. W., & Unger, J. B. (2010). Associations between family structure, family functioning, and substance use among Hispanic/Latino adolescents. Psychology of Addictive Behaviors, 24(1), 98-108. https://doi.org/10.1037/a0018497

Westmoreland, D. (2015). Determinants of Social disorganization as Predictors of Illicit Drug Use During Recessionary Years [Tesis doctoral]. Walden University.

White, J., Klein, D., & Martin, T. (2015). The ecological framework. En World Health Organization, Family theories: An introduction. (pp. 239-270).