Perceived helpfulness of alcohol protective behavioral strategies and consequence severity: A person-centered analysis

References

• Schulenberg JE, Johnston LD, O’Malley PM, Bachman JG, Miech RA, Patrick ME. Monitoring the Future National Survey Results on Drug Use, 1975–2019: Volume II, College Students and Adults Ages 19–60. Ann Arbor, MI: Institute for Social Research, University of Michigan; 2020.
   Google Scholar
• Park CL. Positive and negative consequences of alcohol consumption in college students. Addict Behav. 2004;29(2):311–321. doi:10.1016/j.addbeh.2003.08.006.
   PubMed Web of Science ®Google Scholar
• Hingson RW, Zha W, Weitzman ER. Magnitude of and trends in alcohol-related mortality and morbidity among U.S. college students ages 18–24, 1998–2005. J Stud Alcohol Drugs Suppl. 2009;16(s16):12–20. doi:10.15288/jsads.2009.s16.12.
   Google Scholar
• Martens MP, Taylor KK, Damann KM, Page JC, Mowry ES, Cimini MD. Protective behavioral strategies when drinking alcohol and their relationship to negative alcohol-related consequences in college students. Psychol Addict Behav. 2004;18(4):390–393. doi:10.1037/0893-164X.18.4.390.
   PubMed Web of Science ®Google Scholar
• Pearson MR. Use of alcohol protective behavioral strategies among college students: a critical review. Clin Psychol Rev. 2013;33(8):1025–1040. doi:10.1016/j.cpr.2013.08.006.
   PubMed Web of Science ®Google Scholar
• Prince MA, Carey KB, Maisto SA. Protective behavioral strategies for reducing alcohol involvement: a review of the methodological issues. Addict Behav. 2013;38(7):2343–2351. doi:10.1016/j.addbeh.2013.03.010.
   PubMed Web of Science ®Google Scholar
• Sugarman DE, Carey KB. The relationship between drinking control strategies and college student alcohol use. Psychol Addict Behav. 2007;21(3):338–345. doi:10.1037/0893-164X.21.3.338.
   PubMed Web of Science ®Google Scholar
• Martens MP, Ferrier AG, Sheehy MJ, Corbett K, Anderson DA, Simmons A. Development of the protective behavioral strategies survey. J Stud Alcohol. 2005;66(5):698–705. doi:10.15288/jsa.2005.66.698.
   PubMed Web of Science ®Google Scholar
• Read JP, Kahler CW, Strong DR, Colder CR. Development and preliminary validation of the young adult alcohol consequences questionnaire. J Stud Alcohol. 2006;67(1):169–177. doi:10.15288/jsa.2006.67.169.
   PubMed Web of Science ®Google Scholar
• Martin JL, Colvin KF, Madson MB, Zamboanga BL, Pazienza R. Optimal assessment of protective behavioral strategies among college drinkers: an item response theory analysis. Psychol Assess. 2020;32(4):394–406. doi:10.1037/pas0000799.
   PubMed Web of Science ®Google Scholar
• Kahler CW, Strong DR, Read JP, Palfai TP, Wood MD. Mapping the continuum of alcohol problems in college students: a Rasch model analysis. Psychol Addict Behav. 2004;18(4):322–333. doi:10.1037/0893-164X.18.4.322.
   PubMed Web of Science ®Google Scholar
• Kahler CW, Strong DR, Read JP. Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: the Brief Young Adult Alcohol Consequences Questionnaire. Alcohol Clin Exp Res. 2005;29(7):1180–1189. doi:10.1097/01.ALC.0000171940.95813.A5.
   PubMed Web of Science ®Google Scholar
• Kahler CW, Hustad J, Barnett NP, Strong DR, Borsari B. Validation of the 30-day version of the Brief Young Adult Alcohol Consequences Questionnaire for use in longitudinal studies. J Stud Alcohol Drugs. 2008;69(4):611–615. doi:10.15288/jsad.2008.69.611.
   PubMed Web of Science ®Google Scholar
• Barnett NP, Merrill JE, Kahler CW, Colby SM. Negative evaluations of negative alcohol consequences lead to subsequent reductions in alcohol use. Psychol Addict Behav. 2015;29(4):992–1002. doi:10.1037/adb0000095.
   PubMed Web of Science ®Google Scholar
• Leavens EL, Leffingwell TR, Miller MB, Brett EI, Lombardi N. Subjective evaluations of alcohol-related consequences among college students: experience with consequences matters. J Am Coll Health. 2017;65(4):243–249. doi:10.1080/07448481.2016.1271803.
   PubMed Web of Science ®Google Scholar
• Merrill JE, Rosen RK, Boyle HK, Carey KB . The influence of context in the subjective evaluation of “negative” alcohol-related consequences. Psychol Addict Behav. 2018;32(3):350–357. doi:10.1037/adb0000361.
   PubMed Web of Science ®Google Scholar
• Treloar H, Martens MP, McCarthy DM. The Protective Behavioral Strategies Scale-20: improved content validity of the Serious Harm Reduction subscale. Psychol Assess. 2015;27(1):340–346. doi:10.1037/pas0000071.
   PubMed Web of Science ®Google Scholar
• Merrill JE, Read JP. Motivational pathways to unique types of alcohol consequences. Psychol Addict Behav. 2010;24(4):705–711. doi:10.1037/a0020135.
   PubMed Web of Science ®Google Scholar
• Cooper ML. Motivations for alcohol use among adolescents: development and validation of a four-factor model. Psychol Assess. 1994;6(2):117–128. doi:10.1037/1040-3590.6.2.117.
   Google Scholar
• Grant V, Stewart S, O’Connor R, Blackwell E, Conrod P . Psychometric evaluation of the five-factor Modified Drinking Motives Questionnaire-Revised in undergraduates. Addict Behav. 2007;32(11):2611–2632. doi:10.1016/j.addbeh.2007.07.004.
   PubMed Web of Science ®Google Scholar
• Cooper ML, Kuntsche E, Levitt A, Barber LL, Wolf S. Motivational models of substance use: a review of theory and research on motives for using alcohol, marijuana, and tobacco. In: Sher KJ, ed. The Oxford Handbook of Substance Use and Substance Use Disorders. Vol. 1. Oxford: Oxford University Press; 2016:375–421.
   Google Scholar
• White HR, Anderson KG, Ray AE, Mun EY. Do drinking motives distinguish extreme drinking college students from their peers? Addict Behav. 2016;60:213–218. doi:10.1016/j.addbeh.2016.04.011.
   PubMed Web of Science ®Google Scholar
• Cadigan JM, Martens MP, Herman KC. A Latent Profile Analysis of drinking motives among heavy drinking college students. Addict Behav. 2015;51:100–105. doi:10.1016/j.addbeh.2015.07.029.
   PubMed Web of Science ®Google Scholar
• Merrill JE, Wardell JD, Read JP. Drinking motives in the prospective prediction of unique alcohol-related consequences in college students. J Stud Alcohol Drugs. 2014;75(1):93–102. doi:10.15288/jsad.2014.75.93.
   PubMed Web of Science ®Google Scholar
• Bresin K, Mekawi Y . The “why” of drinking matters: a meta-analysis of the association between drinking motives and drinking outcomes. Alcohol Clin Exp Res. 2021;45(1):38–50. doi:10.1111/acer.14518.
   PubMed Web of Science ®Google Scholar
• Bravo AJ, Prince MA, Pearson MR. Does the how mediate the why? A multiple replication examination of drinking motives, alcohol protective behavioral strategies, and alcohol outcomes. J Stud Alcohol Drugs. 2015;76(6):872–883. doi:10.15288/jsad.2015.76.872.
   PubMed Web of Science ®Google Scholar
• LaBrie JW, Lac A, Kenney SR, Mirza T. Protective behavioral strategies mediate the effect of drinking motives on alcohol use among heavy drinking college students: gender and race differences. Addict Behav. 2011;36(4):354–361. doi:10.1016/j.addbeh.2010.12.013.
   PubMed Web of Science ®Google Scholar
• Prince MA, Maisto SA. The clinical course of alcohol use disorders: using joinpoint analysis to aid in interpretation of growth mixture models. Drug Alcohol Depend. 2013;133(2):433–439. doi:10.1016/j.drugalcdep.2013.06.033.
   PubMed Web of Science ®Google Scholar
• White A, Hingson R. The burden of alcohol use: excessive alcohol consumption and related consequences among college students. Alcohol Res Curr Rev. 2013;35(2):201–218.
   Web of Science ®Google Scholar
• Martens MP, Martin JL, Littlefield AK, Murphy JG, Cimini MD. Changes in protective behavioral strategies and alcohol use among college students. Drug Alcohol Depend. 2011;118(2-3):504–507. doi:10.1016/j.drugalcdep.2011.04.020.
   PubMed Web of Science ®Google Scholar
• Beck AT. Cognitive Therapy of Depression. New York: Guilford Press; 1979.
   Google Scholar
• Collins RL, Parks GA, Marlatt GA. Social determinants of alcohol consumption: the effects of social interaction and model status on the self-abstraction of alcohol. J Consult Clin Psychol. 1985;53(2):189–200. doi:10.1037/0022-006X.53.2.189.
   PubMed Web of Science ®Google Scholar
• Muthén LK, Muthén BO. Mplus User’s Guide. 8th ed. Los Angeles, CA: Muthén & Muthén; 1998–2017.
   Google Scholar
• Nylund KL, Asparouhov T, Muthén BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equation Model Multidiscip J. 2007;14(4):535–569. doi:10.1080/10705510701575396.
   Web of Science ®Google Scholar
• Tein JY, Coxe S, Cham H. Statistical power to detect the correct number of classes in latent profile analysis. Struct Equation Model. 2013;20(4):640–657. doi:10.1080/10705511.2013.824781.
   PubMed Web of Science ®Google Scholar
• Muthén B, Muthén LK. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res. 2006;24(6):882–891. doi:10.1111/j.1530-0277.2000.tb02070.x.
   Google Scholar
• Sclove SL. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika 1987;52(3):333–343. doi:10.1007/BF02294360.
   Web of Science ®Google Scholar
• Lo Y, Mendell N, Rubin D. Testing the number of components in a normal mixture. Biometrika 2001;88(3):767–778. doi:10.1093/biomet/88.3.767.
   Web of Science ®Google Scholar
• Celeux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. J Classif. 1996;13(2):195–212. doi:10.1007/BF01246098.
   Web of Science ®Google Scholar
• Jung T, Wickrama KAS. An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass. 2008;2(1):302–317. doi:10.1111/j.1751-9004.2007.00054.x.
   Google Scholar
• Bakk Z, Vermunt JK. Robustness of stepwise latent class modeling with continuous distal outcomes. Struct Equation Model A Multidiscip J. 2016;23(1):20–31. doi:10.1080/10705511.2014.955104.
   Web of Science ®Google Scholar
• Asparouhov T, Muthén BO. Residual associations in latent class and latent transition analysis. Struct Equation Model Multidiscip J. 2015;22(2):169–177. doi:10.1080/10705511.2014.935844.
   Web of Science ®Google Scholar
• Clark SL, Muthén BO. Relating latent class analysis results to variables not included in the analysis. https://www.statmodel.com/download/relatinglca.pdf. Published 2009, accessed June 29, 2020.
   Google Scholar
• Asparouhov T. Using Mplus Monte Carlo simulations in practice: a note on non-normal missing data in latent variable models. https://www.statmodel.com/download/webnotes/mc2.pdf. Published 2002, accessed June 29, 2020.
   Google Scholar
• Enders CK. The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. Psychol Methods. 2001;6(4):352–370. doi:10.1037/1082-989X.6.4.352.
   PubMed Web of Science ®Google Scholar
• Hipp JR, Bauer DJ. Local solutions in the estimation of growth mixture models. Psychol Methods. 2006;11(1):36–53. doi:10.1037/1082-989X.11.1.36.
   PubMed Web of Science ®Google Scholar
• Madson MB, Zeigler-Hill V. Protective behavioral strategies, alcohol consumption, and negative alcohol-related consequences: do race and gender moderate these associations? J Ethn Subst Abuse. 2013;12(3):242–258. doi:10.1080/15332640.2013.798848.
   PubMedGoogle Scholar