Spanish Adaptation of the Protective Behavioral Strategies Scale-20 (S-PBSS-20) and Evaluation of its Psychometric Properties in University Students

  1. Manuel Sánchez-García 1
  2. Óscar M. Lozano-Rojas 1
  3. Carmen Díaz-Batanero 1
  4. José Carmona-Márquez 1
  5. Antonio J. Rojas-Tejada 2
  6. Fermín Fernández-Calderón 1
  1. 1 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

  2. 2 Universidad de Almería
    info

    Universidad de Almería

    Almería, España

    ROR https://ror.org/003d3xx08

Revista:
Psicothema

ISSN: 0214-9915,  1886-144X

Año de publicación: 2020

Volumen: 32

Número: 4

Páginas: 598-606

Tipo: Artículo

DOI: 10.7334/PSICOTHEMA2020.172 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Psicothema

Resumen

Antecedentes: las estrategias conductuales de protección (ECP) han mostrado utilidad para reducir las consecuencias negativas del alcohol. La Escala de Estrategias Conductuales de Protección (PBSS) es uno de los instrumentos más utilizados y validados para evaluar estas estrategias. Sin embargo, no contamos con una adaptación española de este u otro instrumento para medir ECP. Objetivo: aportar una versión española de la PBSS-20 y analizar sus propiedades psicométricas. Método: participaron 538 estudiantes de tres universidades españolas (edad media = 21,2; mujeres = 78%), administrándose el Cuestionario de Consecuencias del Consumo de Alcohol en Jóvenes Adultos (YAACQ) y el Cuestionario de Consumo Diario de alcohol. Se recogió información sobre frecuencia de consumo, borracheras y atracón. Resultados: los resultados apoyan el uso de la PBSS-20 original con una estructura de tres factores. La fiabilidad como consistencia interna osciló entre 0.71-0.77 y se aportaron evidencias de validez según las relaciones teóricas esperadas. El análisis factorial exploratorio aportó evidencias de validez convergente/discriminante. Conclusiones: los resultados apoyan la utilidad de la PBSS-20 para medir ECP en consumidores de alcohol. La S-PBSS-20 puede ser útil tanto para la investigación sobre ECP, como para orientar intervenciones educativas de promoción de estas estrategias y de reducción de consecuencias negativas asociadas al alcohol.

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Información de financiación

for this study was provided by the Consejer?a de Salud (Junta de Andaluc?a, Spain) under Award Number PI-0503-2018 (Principal Investigator, Ferm?n Fern?ndez Calder?n). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Consejer?a de Salud (Junta de Andaluc?a).

Financiadores

    • PI-0503-2018

Referencias bibliográficas

  • Black, R. A., Yang, Y., Beitra, D., & McCaffrey, S. (2015). Comparing fit and reliability estimates of a psychological instrument using secondorder CFA, bifactor, and essentially Tau-equivalent (coefficient alpha) models via AMOS 22. Journal of Psychoeducational Assessment, 33(5), 451-472. http://dx.doi.org/10.1177/0734282914553551
  • Bravo, A. J., Pearson, M. R., Pilatti, A., Read, J. P., Mezquita, L., Ibáñez, M. I., & Ortet, G. (2018). Impulsivity-related traits, college alcohol beliefs, and alcohol outcomes: Examination of a prospective multiple mediation model among college students in Spain, Argentina, and USA. Addictive Behaviors, 81, 125-133. https://doi.org/10.1016/j.addbeh.2018.02.009
  • Chaney, B. H., Vail-Smith, K., Martin, R. J., & Cremeens-Matthews, J. (2016). Alcohol use, risky sexual behavior, and condom possession among bar patrons. Addictive Behaviors, 60, 32-36. https://doi.org/10.1016/j.addbeh.2016.03.035
  • Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1. https://doi.org/10.18637/jss.v039.i08
  • Collins, R. L., Parks, G. A., & Marlatt, G. A. (1985). Social determinants of alcohol consumption: The effects of social interaction and model status on the self-administration of alcohol. Journal of Consulting and Clinical Psychology, 53(2), 189.
  • Courtney, K. E., & Polich, J. (2009). Binge drinking in young adults: Data, definitions, and determinants. Psychological Bulletin, 135(1), 142. https://doi.org/10.1037/a0014414
  • Delva, J., Smith, M. P., Howell, R. L., Harrison, D. F.,Wilke, D., & Jackson, L. (2004). A study of the relationship between protective behaviors and drinking consequences among undergraduate college students. Journal of American College Health, 53, 19-26. https://doi.org/10.3200/JACH.53.1.19-27
  • Duke, A. A., Smith, K. M., Oberleitner, L., Westphal, A., & McKee, S. A. (2018). Alcohol, drugs, and violence: A meta-meta-analysis. Psychology of Violence, 8(2), 238. https://doi.org/10.1037/vio0000106
  • Dvorak, R. D., Pearson, M. R., Neighbors, C., & Martens, M. P. (2015). Fitting in and standing out: Increasing the use of alcohol protective behavioral strategies with a deviance regulation intervention. Journal of Consulting and Clinical Psychology, 83(3), 482. https://doi.org/10.1037/a0038902
  • Ferrando, P.J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología [The factor analysis as a research technique in Psychology]. Papeles del Psicólogo, 31(1), 18-33.
  • Frank, C., Thake, J., & Davis, C. G. (2012). Assessing the protective value of protective behavioral strategies. Journal of Studies on Alcohol and Drugs, 73(5), 839-843. https://doi.org/10.15288/jsad.2012.73.839
  • García, T. A., Fairlie, A. M., Litt, D. M., Waldron, K. A., & Lewis, M. A. (2018). Perceived vulnerability moderates the relations between the use of protective behavioral strategies and alcohol use and consequences among high-risk young adults. Addictive Behaviors, 81, 150-156. https://doi.org/10.1016/j.addbeh.2018.02.001
  • Grazioli, V. S., Lewis, M. A., Fossos-Wong, N., & Larimer, M. E. (2018). Attitudes toward protective behavioral strategies: Do they predict use of strategies and alcohol outcomes over time? Addictive Behaviors, 87, 190-195. https://doi.org/10.1016/j.addbeh.2018.07.017
  • Grazioli, V. S., Lewis, M. A., Garberson, L.A., Fossos-Wong, N., Lee, C. M., & Larimer, M. E. (2015). Alcohol expectancies and alcohol outcomes: Effects of the use of protective behavioral strategies. Journal of Studies on Alcohol and Drugs, 76(3), 452-458. https://doi.org/10.15288/jsad.2015.76.452
  • Grazioli, V. S., Studer, J., Larimer, M. E., Lewis, M. A., Marmet, S., Lemoine, M., Daeppen, J. B, & Gmel, G. (2019). Protective Behavioral Strategies Scale-20: Psychometric properties of a French and German version among young males in Switzerland. International Journal of Methods in Psychiatric Research, 28(3), e1777. https://doi.org/10.1002/mpr.1777
  • International Test Commission (2017). The ITC Guidelines for Translating and Adapting Tests (2nd). https://www.intestcom.org
  • Kite, B. A., Pearson, M. R., & Henson, J. M. (2013). The assessment of protective behavioral strategies: Comparing the absolute frequency and contingent frequency response scales. Psychology of Addictive Behaviors, 27(4), 1010. https://doi.org/10.1037/a0031366
  • Kuntsche, E., Kuntsche, S., Thrul, J., & Gmel, G. (2017). Binge drinking: Health impact, prevalence, correlates and interventions. Psychology & Health, 32(8), 976-1017. https://doi.org/10.1080/08870446.2017.1325889
  • Looby, A., Bravo, A. J., Kilwein, T. M., Zimmerman, L., Pearson, M.R., & Protective Strategies Study Team (2019). Alcohol-related protective behavioral strategies as a mediator of the relationship between drinking motives and risky sexual behaviors. Addictive Behaviors, 93, 1-8. https://doi.org/10.1016/j.addbeh.2019.01.009
  • Lorenz, K., & Ullman, S. E. (2016). Alcohol and sexual assault victimization: Research findings and future directions. Aggression and Violent Behavior, 31, 82-94. https://doi.org/10.1016/j.avb.2016.08.001
  • Madson, M. B., Arnau, R. C., & Lambert, S. J. (2013). Development and psychometric evaluation of the Revised Protective Behavioral Strategies Scale. Psychological Assessment, 25(2), 556. https://doi.org/10.1037/a0031788.
  • Martens, M. P., Ferrier, A. G., Sheehy, M. J., Corbett, K., Anderson, D. A., & Simmons, A. (2005). Development of the protective behavioral strategies survey. Journal of Studies on Alcohol, 66, 698-705. https://doi.org/10.15288/jsa.2005.66.698
  • Martens, M. P., Martin, J. L., Littlefi eld, A. K., Murphy, J. G., & Cimini,M. D. (2011). Changes in protective behavioral strategies and alcohol use among college students. Drug and Alcohol Dependence, 118(2-3), 504-507. https://doi.org/10.1016/j.drugalcdep.2011.04.020
  • Martens, M. P., Pederson, E. R., LaBrie, J. W., Ferrier, A. G., & Cimini, M. D. (2007). Measuring alcohol-related protective behavioral strategies among college students: Further examination of the Protective Behavioral Strategies Scale. Psychology of Addictive Behaviors, 21(3), 307. https://doi.org/10.1037/0893-164X.21.3.307
  • Miller, C. M., Whitley, R. B., Scully, K. A., Madson, M.B., & ZeiglerHill, V. (2019). Protective behavioral strategies and alcohol-related outcomes: The moderating effects of drinking refusal self-efficacy and sex. Addictive Behaviors, 99, 106110. https://doi.org/10.1016/j.addbeh.2019.106110
  • Muñiz, J., & Fonseca-Pedrero, E. (2019). Ten steps for test development. Psicothema, 31(1), 7-16. https://doi.org/10.7334/psicothema2018.291
  • Muthén, B. O., & Muthén, L. K. (2000). The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a US national sample. Journal of Studies on Alcohol, 61(2), 290-300. https://doi.org/10.15288/jsa.2000.61.290
  • Observatorio Español de las Drogas y las Adicciones (2019). Encuesta sobre uso de drogas en enseñanzas secundarias en España (ESTUDES) 1994-2018, Cuestionario [Survey on drug use on secondary education 1994-2018, questionnaire]. Delegación del Gobierno para el Plan Nacional sobre Drogas http://www.pnsd.mscbs.gob.es/profesionales/sistemasInformacion/sistemaInformacion/pdf/ESTUDES_2018_Cuestionario_ALUMNOS_ castellano.pdf
  • Pearson, M. R. (2013). Use of alcohol protective behavioral strategies among college students: A critical review. Clinical Psychology Review, 33(8), 1025-1040. https://doi.org/10.1016/j.cpr.2013.08.006
  • Peters, G. (2018). Userfriendlyscience: Quantitative analysis made accessible. doi: 10.17605/osf.io/txequ
  • Prince, M. A., Carey, K. B., & Maisto, S. A. (2013). Protective behavioral strategies for reducing alcohol involvement: A review of the methodological issues. Addictive Behaviors, 38(7), 2343-2351. https://doi.org/10.1016/j.addbeh.2013.03.010
  • Quinn, P. D., & Fromme, K. (2011). Alcohol use and related problems among college students and their noncollege peers: The competing roles of personality and peer influence. Journal of Studies on Alcohol and Drugs, 72(4), 622-632. https://doi.org/10.15288/jsad.2011.72.622
  • Read, J. P., Kahler, C. W., Strong, D. R., & Colder, C. R. (2006). Development and preliminary validation of the young adult alcohol consequences questionnaire. Journal of Studies on Alcohol and Drugs, 67, 169-177. http://dx.doi.org/10.15288/jsa.2006.67.169
  • Richards, D. K., Puentes, R. P., Gonzales, R., Smith, J. C., Field, C. A., & Morera, O. F. (2018). A psychometric evaluation of the Protective Behavioral Strategies Scale-20 among internet samples of adult drinkers. Addictive Behaviors Reports, 8, 71-78. https://doi.org/10.1016/j.abrep.2018.08.002
  • Rodríguez-Martos, D. A., Gual, S. A., & Llopis, L. J. (1999). The” standard drink unit” as a simplified record of alcoholic drink consumption and its measurement in Spain. Medicina Clínica, 112(12), 446-450.
  • Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507- 514.
  • Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling (3rd ed.). Routledge Academic.
  • Sugarman, D. E., & Carey, K. B. (2007). The relationship between drinking control strategies and college student alcohol use. Psychology of Addictive Behaviors, 21, 338-345. https://doi.org/10.1037/0893-164X.21.3.338
  • Terlecki, M. A., Ecker, A. H., & Buckner, J. D. (2020). The role of underutilization of protective behavioral strategies in the relation of social anxiety with risky drinking. Addictive Behaviors, 100, 106122. https://doi.org/10.1016/j.addbeh.2019.106122
  • Treloar, H., Martens, M. P., & McCarthy, D. M. (2015). The Protective Behavioral Strategies Scale-20: Improved content validity of the Serious Harm Reduction subscale. Psychological Assessment, 27(1), 340. https://doi.org/10.1037/pas0000071
  • Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017). A journey around alpha and omega to estimate internal consistency reliability. Anales de Psicología, 33(3), 755-782. http://dx.doi.org/10.6018/analesps.33.3.268401
  • Walters, S. T., Roudsari, B. S., Vader, A. M., & Harris, T. R. (2007). Correlates of protective behavior utilization among heavy-drinking college students. Addictive Behaviors, 32(11), 2633-2644. https://doi.org/10.1016/j.addbeh.2007.06.022
  • Werch, C. E., & Gorman, D. R. (1986). Factor analysis of internal and external self-control practices for alcohol consumption. Psychological Reports, 59, 1207-1213.
  • World Health Organization (2018). Global status report on alcohol and health 2018. World Health Organization. https://www.who.int/publications-detail/global-status-report-onalcohol-and-health-2018
  • Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 4. https://doi.org/10.22237/jmasm/1177992180
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