Polydrug use trajectories and differences in impulsivity among adolescents

  1. Víctor Martínez-Loredo 1
  2. José Ramón Fernández-Hermida 1
  3. Alejandro de La Torre-Luque 2
  4. Sergio Fernández-Artamendi 3
  1. 1 Department of Psychology, Universidad de Oviedo
  2. 2 Department of Psychiatry, Universidad Autónoma de Madrid
  3. 3 Department of Psychology, Universidad Loyola Andalucía
Mostrar afiliacións +
Revista:
International journal of clinical and health psychology

ISSN: 1697-2600

Ano de publicación: 2018

Volume: 18

Número: 3

Páxinas: 235-244

Tipo: Artigo

DOI: 10.1016/J.IJCHP.2018.07.003 DIALNET GOOGLE SCHOLAR

Outras publicacións en: International journal of clinical and health psychology

Obxectivos de Desenvolvemento Sustentable

Resumo

Antecedentes/Objetivo: A pesar de que el alcohol, tabaco y cánnabis son las drogas más utilizadas, existen pocos estudios sobre policonsumo y su relación con la impulsividad en adolescentes. Los objetivos de este estudio son identificar trayectorias de policonsumo y analizar diferencias en impulsividad. Método: Se evaluaron anualmente 1.565 adolescentes (54,4% hombres; edad media = 13,02, DT = 0,57) durante tres años usando la Escala de Impulsividad de Barratt, la Escala de Búsqueda de Sensaciones de Zuckerman y las Tareas de Stroop y Descuento por Demora. Se evaluó el uso de alcohol, tabaco, cannabis, uso problemático de alcohol y borracheras. Se usaron modelos mixtos de clases latentes y análisis mixtos multivariados de covarianza. Resultados: Se encontraron tres trayectorias de policonsumo. Las trayectorias de “Uso experimental” y “Uso temprano” presentaron los menores y mayores niveles de impulsividad, respectivamente. Los incrementos en el consumo de la trayectoria de “Escalamiento” se asociaron con incrementos paralelos en la impulsividad. Conclusiones: Las personas con distintos patrones de consumo de sustancias durante la adolescencia difieren en sus niveles de impulsividad, principalmente en impulsividad general y búsqueda de sensaciones. Los resultados sugieren la relevancia de estas facetas como dianas para prevenir el inicio y escalamiento del consumo.

€ Ver financiamento

Información de financiamento

Financiadores

Referencias bibliográficas

  • Albert, D., & Steinberg, L. (2011a). Age differences in strategic planning as indexed by the Tower of London. Child Development, 82, 1501---1517. http://dx.doi.org/10. 1111/j.1467-8624.2011.01613.x
  • Albert, D., & Steinberg, L. (2011b). Judgment and Decision Making in Adolescence. Journal of Research on Adolescence, 21, 211---224. http://dx.doi.org/10.1111/j.1532-7795.2010.00724.x
  • Argyriou, E., Um, M., Carron, C., & Cyders, MA. (2017). Age and impulsive behavior in drug addiction: A review of past research and future directions. Pharmacology Biochemistry and Behavior, 164, 106---117. http://dx.doi.org/10.1016/j.pbb.2017.07.013
  • Ashenhurst, J. R., Harden, K. P., Corbin, W. R., & Fromme, K. (2015). Trajectories of binge drinking and personality change across emerging adulthood. Psychology of Addictive Behaviors, 29, 978---991. http://dx.doi.org/10.1037/adb0000116
  • Beutler, L. E., Someah, K., Kimpara, S., & Miller, K. (2016). Selecting the most appropriate treatment for each patient. International Journal of Clinical and Health Psychology, 16, 99---108. http://dx.doi.org/10.1016/j.ijchp.2015.08.001
  • Biernacki, C., & Govaert, G. (1997). Using the classification likelihood to choose the number of clusters. Computing Science and Statistics, 29, 451---457.
  • Bornas, X., de la Torre-Luque, A., Fiol-Veny, A., & Balle, M. (2017). Trajectories of anxiety symptoms in adolescents: Testing the model of emotional inertia. International Journal of Clinical and Health Psychology, 17, 192---196. http://dx.doi.org/10.1016/j.ijchp.2017.01.002
  • Charles, N. E., Ryan, S. R., Bray, B. C., Mathias, C. W., Acheson, A., & Dougherty, D. M. (2016). Altered developmental trajectories for impulsivity and sensation seeking among adolescent substance users. Addictive Behaviors, 60, 235---241. http://dx.doi.org/10.1016/j.addbeh.2016.04.016
  • Cross, C. P., Copping, L. T., & Campbell, A. (2011). Sex differences in impulsivity: A metaanalysis. Psychological Bulletin, 137, 97---130. http://dx.doi.org/10.1037/a0021591
  • Dawe, S., & Loxton, N. J. (2004). The role of impulsivity in the development of substance use and eating disorders. Neuroscience & Biobehavioral Reviews, 28, 343---351. http://dx.doi.org/10.1016/j.neubiorev.2004.03.007
  • Derefinko, K. J., Charnigo, R. J., Peters, J. R., Adams, Z. W., Milich, R., & Lynam, D. (2016). Substance Use Trajectories From Early Adolescence Through the Transition to College. Journal Studies on Alcohol and Drugs, 77, 924---935. http://dx.doi.org/10.15288/jsad.2016.77.924
  • Dutra, L. M., Glantz, S. A., Lisha, N. E., & Song, A. V. (2017). Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth. PLoS ONE, 12, e0171808 http://dx.doi.org/10.1371/journal.pone.0171808
  • European Monitoring Center for Drugs and Drug Addiction. (2009). Polydrug Use: Patterns and Responses. Luxembourg: Publications Office of the European Union.
  • European School Survey Project on Alcohol and Other Drugs. www.espad.org, 2007
  • Fernandez-Artamendi, S, Martinez-Loredo, V., Fernandez-Hermida, J. R., & Carballo, J. L. (2016). The Impulsive Sensation Seeking (ImpSS): Psychometric properties and predictive validity regarding substance use with Spanish adolescents. Personality and Individual Differences, 90, 163---168. http://dx.doi.org/10.1016/j.paid.2015.11.003
  • Fernie, G., Peeters, M., Gullo, M. J., Christiansen, P., Cole, J. C., Sumnall, H., & Field, M. (2013). Multiple behavioural impulsivity tasks predict prospective alcohol involvement in adolescents. Addiction, 108, 1916---1923. http://dx.doi.org/10.1111/add.12283
  • Flory, K., Lynam, D., Milich, R., Leukefeld, C., & Clayton, R. (2004). Early adolescent through young adult alcohol and marijuana use trajectories: Early predictors, young adult outcomes, and predictive utility. Development and Psychopathology, 16, 193---213, doi: 10.10170S0954579404044475.
  • Fonseca-Pedrero, E, Paino-Piñeiro, M., Lemos-Giráldez, S., Villazón-García, U., & Muñiz, J. (2009). Validation of the Schizotypal Personality Questionnaire-Brief Form in adolescents. Schizophrenia Research, 111, 53---60. http://dx.doi.org/10.1016/j.schres.2009.03.006
  • Foster, D. W., Ye, F., Chung, T., Hipwell, A. E., & Sartor, C. E. (2018). Longitudinal associations between marijuanarelated cognitions and marijuana use in African-American and European-American girls from early to late adolescence. Psychology of Addictive Behaviors, 32(1), 104---114. http://dx.doi.org/10.1037/adb0000323
  • Goudriaan, A. E., Grekin, E. R., & Sher, K. J. (2011). Decision making and response inhibition as predictors of heavy alcohol use: A prospective study. Alcoholism: Clinical and Experimental Research, 35, 1050---1057. http://dx.doi.org/10.1111/j.1530-0277.2011.01437.x
  • Henson, J. M., Reise, S. P., & Kim, K. H. (2007). Detecting mixtures from structural model differences using latent variable mixture modeling: A comparison of relative model fit statistics. Structural Equation Modeling, 14, 202---226. http://dx.doi.org/10.1080/10705510709336744
  • Jackson, K. M. (2010). Progression through early drinking milestones in an adolescent treatment sample. Addiction, 105, 438---449. http://dx.doi.org/10.1111/j.1360-0443.2009.02800.x
  • Khurana, A., Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., & Hurt, H. (2015). Experimentation versus progression in adolescent drug use: A test of an emerging neurobehavioral imbalance model. Development and Psychopathology, 27, 901---913. http://dx.doi.org/10.1017/S0954579414000765
  • Kim, H. (2013). Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics, 38, 52---54. http://dx.doi.org/10.5395/rde.2013.38.1.52
  • Lamont, A. E., Woodlief, D., & Malone, P. S. (2014). Predicting high-risk versus higher-risk substance use during late adolescence from early adolescent risk factors using Latent Class Analysis. Addiction Research & Theory, 22, 78---89. http://dx.doi.org/10.3109/16066359.2013.772587
  • Lewis, B., Hoffman, L. A., & Nixon, S. J. (2014). Sex differences in drug use among polysubstance users. Drug and Alcohol Dependence, 1, 127---133. http://dx.doi.org/10.1016/j.drugalcdep.2014.10.003
  • Liu, W., Lee, G. P., Goldweber, A., Petras, H., Storr, C. L., Ialongo, N. S., & Martins, S. S. (2013). Impulsivity trajectories and gambling in adolescence among urban male youth. Addiction, 108, 780---788. http://dx.doi.org/10.1111/add.12049
  • López-Nuñez, C, Fernández-Artamendi, S., Fernández-Hermida, J. R., Campillo-Álvarez, A., & Secades-Villa, R. (2012). Spanish Adaptation and Validation of the Rutgers Alcohol Problems Index (RAPI). International Journal of Clinical and Health Psychology, 12, 251---264.
  • Ludwig, C., Borella, E., Tettamanti, M., & de Ribaupierre, A. (2010). Adult age differences in the color Stroop test: A comparison between an item-by-item and a blocked version. Archives of Gerontology and Geriatrics, 51, 135e142 http://dx.doi.org/10.1016/j.archger.2009.09.040
  • Lynne-Landsman, S. D., Graber, J. A., Nichols, T. R., & Botvin, G. J. (2011). Is sensation seeking a stable trait or does it change over time? Journal of Youth and Adolescence, 40, 48---58. http://dx.doi.org/10.1007/s10964-010-9529-2
  • Malmberg, M., Kleinjan, M., Vermulst, A. A., Overbeek, G., Monshouwer, K., Lammers, J., & Engels, R. (2012). Do Substance Use Risk Personality Dimensions Predict the Onset of Substance Use in Early Adolescence? A Variableand Person-Centered Approach. Journal of Youth and Adolescence, 41, 1512---1525. http://dx.doi.org/10.1007/s10964-012-9775-6
  • Martinez-Loredo, V., Fernandez-Hermida, J. R., FernandezArtamendi, S., Carballo, J. L., & Garcia-Rodriguez, O. (2015). Spanish adaptation and validation of the Barratt Impulsiveness Scale for early adolescents (BIS-11-A). International Journal of Clinical and Health Psychology, 15, 274---282. http://dx.doi.org/10.1016/j.ijchp.2015.07.002
  • Martino, S. C., Setodji, C. M., Dunbar, M. S., Gong, M., & Shadel, W. G. (2018). Effects of antismoking media on college students’ smoking-related beliefs and intentions. Psychology of Addictive Behaviors, 32, 76---83. http://dx.doi.org/10.1037/adb0000332
  • Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In M. L. Commons, J. E. Mazur, J. A. Nevin, & H. Rachlin (Eds.), Quantitative Analysis of Behavior: The Effects of Delay and Intervening Events on Reinforcement Value (pp. 55---73). Hillsdale, NJ: Erlbaum.
  • Moreno, M., Estevez, A. F., Zaldivar, F., Montes, J. M., Gutierrez-Ferre, V. E., Esteban, L., Sánchez-Santed, F., & Flores, P. (2012). Impulsivity differences in recreational cannabis users and binge drinkers in a university population. Drug and Alcohol Dependence, 124, 355---362. http://dx.doi.org/10.1016/j.drugalcdep.2012.02.011
  • Moss, H. B., Chen, C. M., & Yi, H. Y. (2014). Early adolescent patterns of alcohol, cigarettes, and marijuana polysubstance use and young adult substance use outcomes in a nationally representative sample. Drug and Alcohol Dependence, 136, 51---62. http://dx.doi.org/10.1016/j.drugalcdep.2013.12. 011
  • Plan Nacional Sobre Drogas. (2016). Encuesta estatal sobre uso de drogas en estudiantes de enseñanzas secundarias (ESTUDES) 2014-2015. In Salud PSeI Ministerio de (Ed.), National Survey on the Use of Drugs in Secondary School Students. Retrieved from. http://www.pnsd.msssi.gob.es/profesionales/ sistemasInformacion/sistemaInformacion/encuestas ESTUDES. htm
  • Proust-Lima, C., Amieva, H., & Jacqmin-Gadda, H. (2013). Analysis of multivariate mixed longitudinal data: A flexible latent process approach. British Journal of Mathematical and Statistical Psychology, 66, 470---487. http://dx.doi.org/10.1111/bmsp. 12000
  • Proust-Lima, C., Philipps, V., & Liquet, B. (2016). Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm. Journal of Statistical Software, 78, 1---56. http://dx.doi.org/10.18637/jss.v078.i02
  • Stevens, L., Verdejo-García, A., Goudriaan, A. E., Roeyers, H., Dom, G., & Vanderplasschen, W. (2014). Impulsivity as a vulnerability factor for poor addiction treatment outcomes: A review of neurocognitive findings among individuals with substance use disorders. Journal of Substance Abuse Treatment, 47, 58---72. http://dx.doi.org/10.1016/j.jsat.2014.01.008
  • Storr, C. L. (2008). Characteristics associated with rapid transition to tobacco dependence in youth. Nicotine and Tobacco Research, 1(0), 1099---1104. http://dx.doi.org/10. 1080/14622200802087556
  • Tabachnick, B. G., & Fidell, L. S. (2000). Using Multivariate Statistics (4th ed.). Boston, MA: Allyn and Bacon.
  • Taylor, M., Collin, S. M., Munafo, M. R., MacLeod, J., Hickman, M., & Heron, J. (2017). Patterns of cannabis use during adolescence and their association with harmful substance use behaviour: Findings from a UK birth cohort. Journal of Epidemiology and Community Health, 0, 1---7. http://dx.doi.org/10.1136/jech-2016-208503
  • Tomczyk, S., Isensee, B., & Hanewinkel, R. (2016). Latent classes of polysubstance use among adolescentsa systematic review. Drug and Alcohol Dependence, 160, 12---29. http://dx.doi.org/10.1016/j.drugalcdep.2015.11.035
  • Weidberg, S., Gonzalez-Roz, A., & Secades-Villa, R. (2017). Delay discounting in e-cigarette users, current and former smokers. International Journal of Clinical and Health Psychology, 17, 20---27. http://dx.doi.org/10.1016/j.ijchp.2016.07.004
  • Westling, E., Rusby, J. C., Crowley, R., & Light, J. M. (2017). Electronic Cigarette Use by Youth: Prevalence, Correlates, and Use Trajectories From Middle to High School. Journal of Adolescent Health, 60, 660---666. http://dx.doi.org/10.1016/j.jadohealth.2016.12.019
  • Yu, L. M., Burton, A., & Rivero-Arias, O. (2007). Evaluation of software for multiple imputation of semi-continuous data. Statistical Methods in Medical Research, 16, 243---258. http://dx.doi.org/10.1177/0962280206074464
Fonte de datos: Dialnet