Experienced harms from substance use among college students: A latent class analysis

References

• Boekeloo, B. O., Bush, E. N., & Novik, M. G. (2009). Perceptions about residence hall wingmates and alcohol-related secondhand effects among college freshmen. Journal of American College Health, 57(6), 619–626. doi:10.3200/JACH.57.6.619-628
   PubMed Web of Science ®Google Scholar
• Bray, B. (2019). 1&1 webinar on LCA with Bethany Bray. University Park, Pennsylvania, USA: The Methodology Center, Pennsylvania State University. Retrieved from: https://www.methodology.psu.edu/resources/videos/
   Google Scholar
• Bray, B., Lanza, S. T., & Tau, X. (2015). Eliminating bias in classify-analyze approaches for latent class analysis. Structural Equation Modeling, 22(1), 1–11. doi:10.1080/10705511.2014.935265
   PubMed Web of Science ®Google Scholar
• Burnham, K. P., Anderson, D. R., & Huyvaert, K. P. (2011). AIC model selection and multimodel inference in behavioral ecology: Some background, observations, and comparisons. Behavioral Ecology and Sociobiology, 65, 23–35. doi:10.1007/s00265-010-1029-6
   Web of Science ®Google Scholar
• Cabalatungan, S., & McCarthy, B. (2015). Second-hand effects of college drinking and educational experiences: Finding from an analysis of pooled cross-sections. Drugs, Education, Prevention & Policy, 22, 463–469.
   Web of Science ®Google Scholar
• Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13(2), 195–212. doi:10.1007/BF01246098
   Web of Science ®Google Scholar
• Charalampi, A., Michalopoulou, C., & Richardson, C. (2019). Determining the structure and assessing the psychometric properties of multidimensional scales constructed from ordinal and pseudo-interval items. Communications in Statistics: Case Studies, Data Analysis and Applications, 5(1), 26–38.
   Google Scholar
• Chassin, L., Pitts, S. C., & Prost, J. (2002). Binge drinking trajectories from adolescence to emerging adulthood in a high-risk sample: Predictors and substance abuse outcomes. Journal of Consulting and Clinical Psychology, 70, 67–78. doi:10.1037/0022-006X.70.1.67
   PubMed Web of Science ®Google Scholar
• Chiauzzi, E., DasMahapatra, P., & Black, R. A. (2013). Risk behaviors and drug use: A latent class analysis of heavy episodic drinking in first-year college students. Psychology of Addictive Behaviors, 27(4), 974–985. doi:10.1037/a0031570
   PubMed Web of Science ®Google Scholar
• Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. New York, NY: Wiley.
   Google Scholar
• Cranford, J. A., Eisenberg, D., & Serras, A. M. (2009). Substance use behaviors, mental health problems, and use of mental health services in a probability sample of college students. Addictive Behaviors, 34, 134–145. doi:10.1016/j.addbeh.2008.09.004
   PubMed Web of Science ®Google Scholar
• Diep, P. B., Knibbe, R. A., Giang, K. B., & De Vries, N. (2015). Secondhand effects of alcohol use among students in Vietnam. Global Health Action, 8, 25848. doi:10.3402/gha.v8.25848
   PubMed Web of Science ®Google Scholar
• Dziak, J. J., Coffman, D. L., Lanza, S. T., Li, R., & Jermin, L. S. (2018). Sensitivity and specificity of information criteria. Published October 22, 2018. Retrieved December 8, 2018. https://peerj.com/preprints/1103/.
   Google Scholar
• Ekström, J. (2011). On the relation between the polychoric correlation coefficient and spearman’s rank correlation coefficient. UCLA: Department of Statistics, UCLA. Retrieved from https://escholarship.org/uc/item/7j01t5sf.
   Google Scholar
• Enser, B. J., Appleton, J. V., & Foxcroft, D. R. (2017). Alcohol-related collateral harm, the unseen dimension? Survey of students aged 16–24 in Southern England. Drugs: Education, Prevention and Policy, 24(1), 40–48. doi:10.1080/09687637.2016.1215409
   Web of Science ®Google Scholar
• Evens-Polce, R., Lanza, S. T., & Maggs, J. (2016). Heterogeneity of alcohol, tobacco, and other substance use behaviors in U.S. college students: A latent class analysis. Addictive Behaviors, 53, 80–85. doi:10.1016/j.addbeh.2015.10.010
   PubMed Web of Science ®Google Scholar
• 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. Developmental Psychopathology, 16(1), 193–213. doi:10.1017/S0954579404044475
   PubMed Web of Science ®Google Scholar
• Giesbrecht, N., Cukier, S., & Steeves, D. (2010). Collateral damage from alcohol: Implications of second-hand effects of drinking for populations and health priorities. Addiction, 105, 1323–1325. doi:10.1111/add.2010.105.issue-8
   PubMed Web of Science ®Google Scholar
• Grant, B. F., & Dawson, D. A. (1997). Age of onset of alcohol use and its association with DSM- IV alcohol abuse and dependence: Results from the national longitudinal alcohol epidemiologic survey. Journal of Substance Abuse, 9, 103–113.
   PubMedGoogle Scholar
• Grant, B. F., Stinson, F. S., & Harford, T. C. (2001). Age at onset of alcohol use and DSM-IV alcohol abuse and dependence: A 12 year follow-up. Journal of Substance Abuse, 13, 493–504.
   PubMedGoogle Scholar
• Greenfield, T. K., Karriker-Jaffe, K. J., Kerr, W., Ye, C., & Kaplan, L. (2016). Those harmed by others’ drinking in the US population are more depresses and distressed. Drug and Alcohol Review, 35, 22–29. doi:10.1111/dar.12324
   PubMed Web of Science ®Google Scholar
• Grekin, E. R., & Sher, K. J. (2006). Alcohol dependence symptoms among college freshmen: Prevalence, stability, and person–environment interactions. Experimental and Clinical Psychopharmacology, 14(3), 329–338. doi:10.1037/1064-1297.14.3.329
   PubMed Web of Science ®Google Scholar
• Haardorfer, R., Berg, C. J., Lewis, M., Payne, J., Pillai, D., McDonald, B., & Windle, M. (2016). Poly tobacco, marijuana, and alcohol use patterns in college students: A latent class analysis. Addictive Behaviors, 59, 58–64. doi:10.1016/j.addbeh.2016.03.034
   PubMed Web of Science ®Google Scholar
• Ham, L. S., & Hope, D. A. (2003). College students and problematic drinking: A review of the literature. Clinical Psychology Review, 23, 719–759.
   PubMed Web of Science ®Google Scholar
• Hartzler, B., & Fromme, K. (2003). Heavy episodic drinking and college entrance. Journal of Drug Education, 33(3), 259–274. doi:10.2190/2L2X-F8E1-32T9-UDMU
   PubMed Web of Science ®Google Scholar
• Hingson, R. W., Heeren, T., & Winter, M. R. (2006). Age at drinking onset and alcohol dependence: Age at onset, duration, and severity. Archives of Pediatric and Adolescent Medicine, 160, 739–746. doi:10.1001/archpedi.160.7.739
   PubMed Web of Science ®Google Scholar
• Hingson, R. W., Zha, W., & Weitzman, E. R. (2009). Magnitude of and trends in alcohol-related mortality and morbidity among U.S. college students ages 18-24, 1998-2005. Journal of Studies on Alcohol & Drugs, (s16), 12–20. doi:10.15288/jsads.2009.s16.12
   Google Scholar
• Johnston, L. D., Miech, R. A., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2016). Teen use of any illicit drug other than marijuana at new low, same true for alcohol. University of Michigan News Service: Ann Arbor. http://www.monitoringthefuture.org
   Google Scholar
• Karriker-Jaffe, K. J., Room, R., Giesbrecht, N., & Greenfield, T. K. (2018). Alcohol’s harm to others: Opportunities and challenges in a public health framework. Journal of Studies on Alcohol and Drugs, 79, 239–243. doi:10.15288/jsad.2018.79.239
   PubMed Web of Science ®Google Scholar
• Keyes, K. M., Rutherford, C., & Miech, R. (2019). Historical trends in the grade of onset and sequence of cigarette, alcohol, and marijuana use among adolescents from 1976-2016: Implications for “Gateway” patterns in adolescence. Drug and Alcohol Dependence, 194, 51–58. doi:10.1016/j.drugalcdep.2018.09.015
   PubMed Web of Science ®Google Scholar
• Kilmer, J. R., Cronce, J. M., & Larimer, M. E. (2014). College student drinking research from 1940s to the future: Where we have been and where we are going. Journal of Studies on Alcohol and Drugs, Supplement, 17, 26–35. doi:10.15288/jsads.2014.s17.26
   Google Scholar
• Kraemer, H. C., Kazdin, A. E., Offord, D. R., Kessler, R. C., Jensen, P. S., & Kupfer, D. J. (1997). Coming to terms with the terms of risk. Archives of General Psychiatry, 54, 337–343.
   PubMed Web of Science ®Google Scholar
• Kullback, S., & Leibler, R. A. (1951). On information and sufficiency. Annals of Mathematical Statistics, 22, 79–86. doi:10.1214/aoms/1177729694
   Google Scholar
• Kypri, K., Bell, M. L., Hay, G. C., & Baxter, J. (2008). Alcohol outlet density and university student drinking: A national study. Addiction, 103, 1131–1138. doi:10.1111/j.1360-0443.2008.02239.x
   PubMed Web of Science ®Google Scholar
• Lanza, S. T., Dziak, J. J., Huang, L., Wagner, A. T., & Collins, L. M. (2015). Proc LCA & Proc LTA users’ guide (Version 1.3.2). University Park, Pennsylvania, USA: The Methodology Center.. Available from methodology.psu.edu.
   Google Scholar
• Lanza, S. T., Patrick, M. E., & Maggs, J. L. (2010). Latent transition analysis: Benefits of latent variable approach to modeling transition in substance use. Journal of Drug Issues, 40(1), 93–120.
   PubMed Web of Science ®Google Scholar
• Lanza, S. T., & Rhodes, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14(2), 157–168. doi:10.1007/s11121-011-0201-1
   PubMed Web of Science ®Google Scholar
• Linden-Carmichael, A. N., Lanza, S. T., Dziak, J. J., & Bray, B. C. (2017). Contemporary alcohol use patterns among a national sample of U.S. drinkers. Journal of Addictive Disorders, 36(4), 222–226. doi:10.1080/10550887.2017.1338816
   PubMed Web of Science ®Google Scholar
• Linden-Carmichael, A.N., & Lanza, S.T. (2018). Drinking patterns of college- and non-college-attending young adults: Is high-intensity drinking only a college phenomenon?substance use & misuse, 53(13), 2157–2164.
   Google Scholar
• Lynskey, M. T., Heath, A. C., Bucholz, K. K., Slutske, W. S., Madden, P. A. F., Nelson, E. C., … Martin, N. G. (2003). Escalation of drug use in early-onset cannabis users vs co-twin controls. JAMA, 289(4), 427–433. doi:10.1001/jama.289.4.427
   PubMed Web of Science ®Google Scholar
• Martinez, J. A., Sher, K. J., & Wood, P. K. (2014). Drinking consequences and subsequent drinking in college students over 4 years. Psychology of Addictive Behaviors, 28(4), 1240–1245. doi:10.1037/a0038352
   PubMed Web of Science ®Google Scholar
• McLachlan, G., & Peel, D. (2000). Finite mixture models. New York, NY: Wiley.
   Google Scholar
• Nelson, T. F., Xuan, Z., Lee, H., & Weitzman, E. R. (2009). Persistence of heavy drinking and ensuing consequences at heavy drinking colleges. Journal of Studies on Alcohol and Drugs, 70, 726–734. doi:10.15288/jsad.2009.70.726
   PubMed Web of Science ®Google Scholar
• Nylund, K. L., Asparouhov, T., & Muthen, B. O. (2007). Deciding the number of classes in Latent class analysis and growth mixture modeling: A monti carlo simulation study. Structural Equation Modeling, 14(4), 535–569. doi:10.1080/10705510701575396
   Web of Science ®Google Scholar
• Olsson, U. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika, 12, 443–460. doi:10.1007/BF02296207
   Google Scholar
• Perkins, H. W. (2002). Surveying the damage: A review of research on consequences of alcohol misuse in college populations. Journal of Studies on Alcohol and Drugs, 14, 91–100.
   PubMed Web of Science ®Google Scholar
• Presley, C. A., Meilman, P. W., & Lyerla, R. (1994). Development of the core alcohol and drug survey: Initial findings and future decisions. Journal of American College Health, 42(6), 248–255. doi:10.1080/07448481.1994.9936356
   PubMedGoogle Scholar
• Rickwood, D., George, A., Parker, R., & Mikhailovich, K. (2011). Harmful alcohol use on campus. Youth Studies Australia, 30(1), 34–40.
   Google Scholar
• Rothman, E. F., Dejong, W., Palfai, T., & Saitz, R. (2008). Relationship of age of first drink to alcohol-related consequences among college students with unhealthy alcohol use. Substance Abuse, 29(1), 33–41. doi:10.1300/J465v29n01_05
   PubMed Web of Science ®Google Scholar
• SAMHSA. (2015). National Survey on Drug Use and Health (NSDUH). Table 6.84B—Tobacco product and alcohol use in past month among persons aged 18 to 22, by college enrollment status: Percentages, 2014 and 2015. Retrieved January 18, 2017 https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs-2015/NSDUH-DetTabs-2015/NSDUH-DetTabs-2015.htm#tab6-84b.
   Google Scholar
• SAS® 9.4. (2018). SAS/STAT 15.1: Users Guide. Retrieved from http://documentation.sas.com/?docsetId=statug&docsetTarget=statug_mi_toc.htm&docsetVersion=15.1&locale=en.
   Google Scholar
• Schall, M., Kemeny, A., & Maltzman, I. (1992). Factors associated with alcohol use in university students. Journal of Studies on Alcohol, 53, 122–136.
   PubMed Web of Science ®Google Scholar
• Schukit, M. A., & Russell, J. W. (1983). Clinical importance of age at first drink in a group of young men. American Journal of Psychiatry, 140(9), 1221–1224. doi:10.1176/ajp.140.9.1221
   PubMed Web of Science ®Google Scholar
• Schulenberg, J. E., Johnston, L. D., O’Malley, P. M., Bachman, J. G., Miech, R. A., & Patrick, M. E. (2017). Monitoring the future national survey results on drug use, 1975–2016: Volume II, college students and adults ages 19–55. Ann Arbor: Institute for Social Research. Michigan, USA: The University of Michigan Institute for Social Research. Retrieved from http://monitoringthefuture.org/pubs.html#monographs.
   Google Scholar
• Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423. doi:10.1002/bltj.1948.27.issue-3
   Web of Science ®Google Scholar
• Shipley, B. (2000). Cause and correlation in biology: A user’s guide to path analysis, structural equations and causal inference. Cambridge, U.K.: Cambridge University Press.
   Google Scholar
• Stappenbeck, C. A., Quinn, P., Wetherill, R. R., & Fromme, K. (2010). Perceived norms for drinking in the transition from high school to college and beyond. Journal of Studies on Alcohol and Drugs, 71, 895–903. doi:10.15288/jsad.2010.71.895
   PubMed Web of Science ®Google Scholar
• Stiles, M. (2013). Secondhand effects of substance use for rural college students. Journal Of Human Behavior In The Social Environment, 23(4), 529–535. doi:10.1080/10911359.2013.765819
   Google Scholar
• Stiles, M., & Rice, C. (2018). Exploring the association between alcohol, marijuana, and secondhand effects with rural college students. Journal Of Human Behavior In The Social Environment, 29(2), 161–176. doi:10.1080/10911359.2018.1496866
   Web of Science ®Google Scholar
• Thompson, K., Davis-MacNevin, P., Teehan, M., Stewart, S., Chen, S., Chinneck, A., & Stuart, H. (2017). The association between secondhand harms from alcohol and mental health outcomes among postsecondary students. Journal of Studies on Alcohol and Drugs, 78, 70–78. doi:10.15288/jsad.2017.78.70
   PubMed Web of Science ®Google Scholar
• Tomczyk, S., Isensee, B., & Hanewinkel, R. (2016). Latent classes of polysubstance abuse among adolescents – A systematic review. Drug and Alcohol Dependence, 160, 12–29. doi:10.1016/j.drugalcdep.2015.11.035
   PubMed Web of Science ®Google Scholar
• U.S. Census Bureau (2018). Current population survey, 2017 annual social and economic supplement, Table 1-1. Retrieved December 31, 2018: https://www.census.gov/data/tables/2017/demo/education-attainment/cps-detailed-tables.html
   Google Scholar
• U.S. Census Bureau Facts. (2018). U.S. Census Bureau, Population Estimates Program (PEP) - Vermont. Retrieved June 25, 2019 https://www.census.gov/quickfacts/fact/table/VT/RHI825218#RHI825218
   Google Scholar
• Wechsler, H., Dowdall, G. W., Maener, G., Gledhill-Hoyt, J., & Lee, H. (1998). Changes in binge drinking and related problems among American college students between 1993 and 1997: Results of the harvard school of public health college alcohol study. Journal of American College Health, 47(2), 57–68. doi:10.1080/07448489809595615
   PubMed Web of Science ®Google Scholar
• Wechsler, H., Lee, J. L., Kuo, M., Seibring, M., Nelson, T. F., & Lee, H. (2002). Trends in college binge drinking during a period of increased prevention efforts: Findings from 4 harvard school of public health college alcohol study surveys: 1993–2001. Journal of American College Health, 50(5), 203–217. doi:10.1080/07448480209595713
   PubMed Web of Science ®Google Scholar
• Wechsler, H., Moeykens, B., Davenport, A., Castillo, S., & Hansen, J. (1995). The adverse impact of heavy episodic drinkers on other college students. Journal of Studies on Alcohol and Drugs, 56, 628–634. doi:10.15288/jsa.1995.56.628
   PubMed Web of Science ®Google Scholar
• Weitzman, E. R., Nelson, T. F., Lee, H., & Wechsler, H. (2004). Reducing drinking and related harms in college: Evaluation of the “A matter of degree” program. American Journal of Preventive Medicine, 27(3), 187–196. doi:10.1016/j.amepre.2004.06.008
   PubMed Web of Science ®Google Scholar
• White, A., & Hingson, R. (2014). The burden of alcohol use: Excessive alcohol consumption and related consequences among college students. Alcohol Research Current Reviews, 35(2), 201–218.
   Web of Science ®Google Scholar