nach oben

Prevention Science

Erschienen in:

27.07.2018

The Efficacy of an Event-Specific, Text Message, Personalized Drinking Feedback Intervention

verfasst von: Jennifer M. Cadigan, Matthew P. Martens, Emily R. Dworkin, Kenneth J. Sher

Erschienen in: Prevention Science | Ausgabe 6/2019

Einloggen, um Zugang zu erhalten

Abstract

Tailgating drinking prior to a football game is a type of event-specific drinking associated with increased alcohol use and related problems. Personalized drinking feedback interventions (PFI) are efficacious in reducing alcohol use and problems. The current study aimed to advance understanding of event-specific interventions by examining: (1) the efficacy of an event-specific, text message PFI on tailgating alcohol outcomes, and (2) the extent to which intervention effects generalize to “typical” alcohol outcomes at 1-month follow-up. College students (N = 130; 71% female; 92% white) who reported tailgating within the past 30 days and binge drinking when tailgating in the past year completed assessments on tailgating and typical alcohol use. They were randomly assigned to one of two text message conditions delivered on the morning of a home football game: event-specific PFI (TXT PFI) or a control condition. Multilevel modeling examined the association of treatment condition on tailgating and 1-month alcohol outcomes. When tailgating, participants in TXT PFI reported lower estimated peak blood alcohol concentration (eBAC) and consumed less drinks than the control condition. At the 1-month “typical” drinking follow-up, participants in TXT PFI reported lower peak eBAC and fewer alcohol-related problems than the control condition. Perceived tailgating drinking norms were found to statistically mediate the relationship between condition and alcohol outcome at tailgating and 1-month follow-ups. Findings provide preliminary support for the efficacy of an event-specific, text message PFI in reducing both tailgating and typical drinking alcohol outcomes. Event-specific TXT PFI can be used for prevention/intervention of alcohol misuse.

Baer, J. S., Stacy, A., & Larimer, M. (1991). Biases in the perception of drinking norms among college students. Journal of Studies on Alcohol, 52, 580–586.CrossRefPubMed

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823.

Borsari, B., & Carey, K. B. (2001). Peer influences on college drinking: A review of the research. Journal of Substance Abuse, 13, 391–424.CrossRefPubMed

Caetano, R., Clark, C. L., & Tam, T. (1998). Alcohol consumption among racial/ethnic minorities: theory and research. Alcohol Research and Health, 22, 233–241.

Carey, K. B., Scott-Sheldon, L. J., Elliott, J. C., Garey, L., & Carey, M. P. (2012). Face-to-face versus computer-delivered alcohol interventions for college drinkers: A meta-analytic review, 1998 to 2010. Clinical Psychology Review, 32, 690–703.CrossRefPubMedPubMedCentral

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, 189–200.

Coons, C. J., Howard-Hamilton, M., & Waryold, D. (1995). College sports and fan aggression: Implications for residence hall discipline. Journal of College Student Development, 36, 587–593.

Cunningham, J. A., Kypri, K., & McCambridge, J. (2011). The use of emerging technologies in alcohol treatment. Alcohol Research and Health, 33, 320–326.PubMedPubMedCentral

Del Boca, F. K., & Darkes, J. (2003). The validity of self-reports of alcohol consumption: State of the science and challenges for research. Addiction, 98, 1–12.CrossRefPubMed

Doumas, D. M., McKinley, L. L., & Book, P. (2009). Evaluation of two web-based alcohol interventions for mandated college students. Journal of Substance Abuse Treatment, 36, 65–74.CrossRefPubMed

Fournier, D. A., Skaug, H. J., Ancheta, J., Ianelli, J., Magnusson, A., Maunder, M. N., … & Sibert, J. (2012). AD model builder: Using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optimization Methods and Software, 27, 233–249.

Glassman, T., Werch, C. E., Jobli, E., & Bian, H. (2007). Alcohol-related fan behavior on college football game day. Journal of American College Health, 56, 255–260.CrossRefPubMed

Hustad, J. T., Mastroleo, N. R., Urwin, R., Zeman, S., LaSalle, L., & Borsari, B. (2014). Tailgating and pregaming by college students with alcohol offenses: Patterns of alcohol use and beliefs. Substance Use & Misuse, 49, 1928–1933.CrossRef

Kahler, C. W., Strong, D. R., & Read, J. P. (2005). Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The brief young adult alcohol consequences questionnaire. Alcoholism: Clinical and Experimental Research, 29, 1180–1189.CrossRef

Kahler, C. W., Hustad, J., Barnett, N. P., Strong, D. R., & Borsari, B. (2008). Validation of the 30-day version of the Brief Young Adult Alcohol Consequences Questionnaire for use in longitudinal studies. Journal of Studies on Alcohol and Drugs, 69, 611–615.CrossRefPubMed

Larimer, M. E., Lee, C. M., Kilmer, J. R., Fabiano, P. M., Stark, C. B., Geisner, I. M., & … Neighbors, C. (2007). Personalized mailed feedback for college drinking prevention: A randomized clinical trial. Journal of Consulting and Clinical Psychology, 75, 285–293.

Larimer, M. E., Neighbors, C., LaBrie, J. W., Atkins, D. C., Lewis, M. A., Lee, C. M., … & Hodge, K. (2011). Descriptive drinking norms: For whom does reference group matter? Journal of Studies on Alcohol and Drugs, 72, 833–843.

Lee, C. M., Neighbors, C., Lewis, M. A., Kaysen, D., Mittmann, A., Geisner, I. M., & … Larimer, M. E. (2014). Randomized controlled trial of a Spring Break intervention to reduce high-risk drinking. Journal of Consulting and Clinical Psychology, 82, 189–201.

Leffingwell, T. R., Cooney, N. J., Murphy, J. G., Luczak, S., Rosen, G., Dougherty, D. M., & Barnett, N. P. (2013). Continuous objective monitoring of alcohol use: 21st century measurement using transdermal sensors. Alcoholism, Clinical and Experimental Research, 37, 16–22. https://doi.org/10.1111/j.1530-0277.2012.01869.x.CrossRefPubMed

Lewis, M. A., & Neighbors, C. (2007). Optimizing personalized normative feedback: the use of gender-specific referents. Journal of Studies on Alcohol and Drugs, 68, 228–237.CrossRefPubMed

Martens, M. P., Kilmer, J. R., Beck, N. C., & Zamboanga, B. L. (2010). The efficacy of a targeted personalized feedback intervention among intercollegiate athletes: A randomized controlled trial. Psychology of Addictive Behaviors, 24, 660–669.CrossRefPubMed

Matthews, D. B., & Miller, W. R. (1979). Estimating blood alcohol concentration: Two computer programs and their applications in therapy and research. Addictive Behaviors, 4, 55–60.CrossRefPubMed

Moser, K., Pearson, M. R., Hustad, J. T., & Borsari, B. (2014). Drinking games, tailgating, and pregaming: Precollege predictors of risky college drinking. The American Journal of Drug and Alcohol Abuse, 40, 367–373.CrossRefPubMedPubMedCentral

Muench, F. (2014). The promises and pitfalls of digital technology in its application to alcohol treatment. Alcohol Research: Current Reviews, 36, 131–142.

Mulia, N., Karriker-Jaffe, K. J., Witbrodt, J., Bond, J., Williams, E., & Zemore, S. E. (2017). Racial/ethnic differences in 30-year trajectories of heavy drinking in a nationally representative US sample. Drug and Alcohol Dependence, 170, 133–141.CrossRefPubMed

Neal, D. J., & Fromme, K. (2007). Event level covariation of alcohol intoxication and behavioral risks during the first year of college. Journal of Consulting and Clinical Psychology, 75, 294–306.CrossRefPubMed

Neighbors, C., Oster-Aaland, L., Bergstrom, R. L., & Lewis, M. A. (2006a). Event- and context- specific normative misperceptions and high risk drinking: 21st birthday celebrations and football tailgating. Journal of Studies on Alcohol, 67, 282–289.CrossRefPubMedPubMedCentral

Neighbors, C., Dillard, A. J., Lewis, M. A., Bergstrom, R. L., & Neil, T. A. (2006b). Normative misperceptions and temporal precedence of perceived norms and drinking. Journal of Studies on Alcohol, 67, 290–299.CrossRefPubMedPubMedCentral

Neighbors, C., Walters, S. T., Lee, C. M., Vader, A. M., Vehige, T., Szigethy, T., & DeJong, W. (2007). Event-specific prevention: Addressing college student drinking during known windows of risk. Addictive Behaviors, 32, 2667–2680.CrossRefPubMedPubMedCentral

Neighbors, C., Atkins, D. C., Lewis, M. A., Lee, C. M., Kaysen, D., Mittmann, A., & … Rodriguez, L. M. (2011). Event-specific drinking among college students. Psychology of Addictive Behaviors, 25, 702–707. https://doi.org/10.1037/a0024051.

Neighbors, C., Foster, D., Fossos, N., & Lewis, M. A. (2012a). Windows of risk: Event and contexts associated with extreme drinking. In C. Correia, J. Murphy, & N. Barnett (Eds.), College student alcohol abuse: A guide to assessment, intervention and prevention. Hoboken: John Wiley & Sons, Inc.

Neighbors, C., Lee, C. M., Atkins, D. C., Lewis, M. A., Kaysen, D., Mittmann, A., Fossos, N., Geisner, I. M., Zheng, C., & Larimer, M. E. (2012b). A randomized controlled trial of event specific prevention strategies for reducing problematic drinking associated with 21st birthday celebrations. Journal of Consulting and Clinical Psychology, 80, 850–862.CrossRefPubMedPubMedCentral

Patrick, K., Griswold, W. G., Raab, F., & Intille, S. S. (2008). Health and the mobile phone. American Journal of Preventive Medicine, 35, 177–181.CrossRefPubMedPubMedCentral

Patrick, M. E., Lee, C. M., & Neighbors, C. (2014). Web-based intervention to change perceived norms of college student alcohol use and sexual behavior on spring break. Addictive Behaviors, 39, 600–606. https://doi.org/10.1016/j.addbeh.2013.11.014.CrossRefPubMed

R Development Core Team. (2008). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing ISBN 3-900051-07-0.

Read, J. P., Wardell, J. D., & Bachrach, R. L. (2013). Drinking consequence types in the first college semester differentially predict drinking the following year. Addictive Behaviors, 38, 1464–1471. https://doi.org/10.1016/j.addbeh.2012.07.005.CrossRefPubMed

Rees, D. I., & Schnepel, K. T. (2009). College football games and crime. Journal of Sports Economics, 10, 68–87.CrossRef

Rutledge, P. C., Park, A., & Sher, K. J. (2008). 21st birthday drinking: Extremely extreme. Journal of Consulting and Clinical Psychology, 76, 511–516.

Skaug, H., Fournier, D., Nielsen, A., Magnusson, A., & Bolker, B. (2013). Generalized linear mixed models using AD model builder. R package version 0.7, 7.

Suffoletto, B., Kristan, J., Chung, T., Jeong, K., Fabio, A., Monti, P., & Clark, D. B. (2015). An interactive text message intervention to reduce binge drinking in young adults: A randomized controlled trial with 9-month outcomes. PloS One, 10.

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston: Pearson.

Tingley, D., Yamamoto, T., Hirose, K., Keele, L., & Imai, K. (2014). Mediation: R package for causal mediation analysis. Journal of Statistical Software, 59, 1–38.CrossRef

Vicary, J. R., & Karshin, C. M. (2002). College alcohol use: A review of the problems, issues, and prevention approaches. The Journal of Primary Prevention, 22, 299–331.CrossRef

Walters, S. T., Vader, A. M., & Harris, T. R. (2007). A controlled trial of web-based feedback for heavy drinking college students. Prevention Science, 8, 83–88.CrossRefPubMed

Whittaker, R., Borland, R., Bullen, C., Lin, R. B., McRobbie, H., & Rodgers, A. (2009). Mobile phone-based interventions for smoking cessation. Cochrane Database System.

Witkiewitz, K., Desai, S. A., Bowen, S., Leigh, B. C., Kirouac, M., & Larimer, M. E. (2014). Development and evaluation of a mobile intervention for heavy drinking and smoking among college students. Psychology of Addictive Behaviors, 28, 639–650.CrossRefPubMedPubMedCentral

Zapolski, T. C., Pedersen, S. L., McCarthy, D. M., & Smith, G. T. (2014). Less drinking, yet more problems: Understanding African American drinking and related problems. Psychological Bulletin, 140, 188–233.CrossRefPubMed

Titel: The Efficacy of an Event-Specific, Text Message, Personalized Drinking Feedback Intervention
verfasst von: Jennifer M. Cadigan
Matthew P. Martens
Emily R. Dworkin
Kenneth J. Sher
Publikationsdatum: 27.07.2018
Verlag: Springer US
Erschienen in: Prevention Science / Ausgabe 6/2019
Print ISSN: 1389-4986
Elektronische ISSN: 1573-6695
DOI: https://doi.org/10.1007/s11121-018-0939-9

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 6/2019

Recanting of Previous Reports of Alcohol Consumption within a Large-Scale Clustered Randomised Control Trial

Correction to: A Cost Analysis of School-Based Lifestyle Interventions

Examining Intervention Component Dosage Effects on Substance Use Initiation in the Strengthening Families Program: for Parents and Youth Ages 10–14

Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP

Using Zoning as a Public Health Tool to Reduce Oversaturation of Alcohol Outlets: an Examination of the Effects of the New “300 Foot Rule” on Packaged Goods Stores in a Mid-Atlantic City

Changing Social Norms: the Importance of “Organized Diffusion” for Scaling Up Community Health Promotion and Women Empowerment Interventions