Changes in Substance Use-Related Health Risk Behaviors on the Timeline Follow-Back Interview as a Function of Length of Recall Period

REFERENCES

• Bardone, A. M., Krahn, D. D., Goodman, B. M., & Searles, J. S. (2000). Using interactive voice response technology and timeline follow-back methodology in studying binge eating and drinking behavior: Different answers to different forms of the same question? Addictive Behaviors, 25, 1–11. doi: 10.1016/S0306-4603(99)00031-3
   PubMed Web of Science ®Google Scholar
• Brener, N. D., Billy, J. O. G., & Grady, W. R. (2003). Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: Evidence from the scientific literature. Journal of Adolescent Health, 33, 436–457. doi: 10.1016/S1054-139X(03)00052-1
   PubMed Web of Science ®Google Scholar
• Buu, A., Johnson, N. J., Li, R., & Tan, X. (2011). New variable selection methods for zero-inflated count data with applications to the substance abuse field. Statistics in Medicine, 30, 2326–2340. doi: 10.1002/sim.4268
   PubMed Web of Science ®Google Scholar
• Buu, A., Li, R., Tan, X., & Zucker, R. A. (2012). Statistical models for longitudinal zero-inflated count data with applications to the substance abuse field. Statistics in Medicine, 31, 4074–4086. doi: 10.1002/sim.5510
   PubMed Web of Science ®Google Scholar
• Carey, K. B., Carey, M. P., Maisto, S., & Henson, J. M. (2004). Temporal stability of the timeline followback interview for alcohol and drug use with psychiatric outpatients. Journal of Studies on Alcohol, 65, 774–781.
   PubMed Web of Science ®Google Scholar
• Carney, M. A., Tennen, H., Affleck, G., Del Boca, F. K., & Kranzler, H. R. (1998). Levels and patterns of alcohol consumption using timeline follow-back, daily diaries and real-time “electronic interviews”. Journal of Studies on Alcohol, 59, 447–454.
   PubMed Web of Science ®Google Scholar
• Cleveland, W. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 78, 829–836. doi: 10.2307/2286407
   Google Scholar
• Collins, L. R., Kashdan, T. B., Koutsky, J. R., Morsheimer, E. T., & Vetter, C. J. (2008). A self-administered timeline followback to measure variations in underage drinkers’ alcohol intake and binge drinking. Addictive Behaviors, 33, 196–200. doi: 10.1016/j.addbeh.2007.07.001
   PubMed Web of Science ®Google Scholar
• De Boor, C. (2001). A practical guide to splines. NY: Springer.
   Google Scholar
• Del Boca, F. K., Darker, J., Greenbaum, P. E., & Goldman, M. S. (2004). Up close and personal: Temporal variability in the drinking of individual college students during the first year. Journal of Counseling and Clinical Psychology, 72, 155–164. doi: 10.1037/0022-006X.72.2.155
   PubMed Web of Science ®Google Scholar
• Dierker, L., Stolar, M., Lloyd-Richardson, E., Tiffany, S., Flay, B., Collins, L., Nichter, M., Bailey, S., & Clayton, R. (2008). Tobacco, alcohol, and marijuana use among first-year U.S. college students: A time series analysis. Substance Use and Misuse, 43, 681–699. doi: 10.1080/10826080701202684
   Google Scholar
• Epstein-Ngo, Q. M., Cunningham, R. M., Whiteside, L. K., Chermack, S. T., Booth, B. M., Zimmerman, M. A., & Walton, M. A. (2013). A daily calendar analysis of substance use and dating violence among high risk urban youth. Drug and Alcohol Dependence, 130, 194–200. doi: 10.1016/j.drugalcdep.2012.11.006
   PubMed Web of Science ®Google Scholar
• Fals-Stewart, W., Birchler, G. R., & Kelley, M. L. (2003). The timeline followback spousal violence interview to assess physical aggression between intimate partners: Reliability and validity. Journal of Family Violence, 18, 131–142. doi: 10.1023/A:1023587603865
   Web of Science ®Google Scholar
• Federal Bureau of Investigation. (2007). Crime in the United States. Retrieved February 20, 2014, from http://www.fbi.gov/ ucr/07cius.htm
   Google Scholar
• Fiellin, D., McGinnis, K. A., Maisto, S. A., Justice, A. C., & Bryant, K. (2013). Measuring alcohol consumption using timeline followback in non-treatment-seeking medical clinic patients with and without HIV infection: 7-, 14-, or 30-day recall. Journal of Studies on Alcohol and Drugs, 74, 500–504.
   Google Scholar
• Finlay, A. K., Ram, N., Maggs, J. L., & Caldwell, L. L. (2012). Leisure activities, the social weekend, and alcohol use: Evidence from a daily study of first-year college students. Journal of Studies on Alcohol and Drugs, 73, 250–259.
   Google Scholar
• Gmel, G., & Daeppen, J.-B. (2007). Recall bias for seven-day recall measurement of alcohol consumption among emergency department patients: Implications for case-crossover designs. Journal of Studies on Alcohol and Drugs, 68, 303–310.
   PubMed Web of Science ®Google Scholar
• Hadfield, J. D. (2010). MCMC methods for multi-response generalized linear mixed models: The MCMCglmm R package. Journal of Statistical Software, 33, 1–22.
   PubMed Web of Science ®Google Scholar
• Hoeppner, B. B., Stout, R. L., Jackson, K. M., & Barnett, N. P. (2010). How good is fine-grained timeline follow-back data? Comparing 30-day TLFB and repeated 7-day TLFB alcohol consumption reports on the person and daily level. Addictive Behaviors, 35, 1138–1143. doi: 10.1016/j.addbeh.2010.08.013
   PubMed Web of Science ®Google Scholar
• Jaccard, J., & Wan, C. K. (1995). A paradigm for studying the accuracy of self-reports of risk behavior relevant to AIDS: Empirical perspectives on stability, recall bias, and transitory influences. Journal of Applied Social Psychology, 25, 1831–1858. doi: 10.1111/j.1559-1816.1995.tb01820.x
   Web of Science ®Google Scholar
• Kranzler, H. R., Abu-Hasaballah, K., Tennen, H., Feinn, R., & Young, K. (2004). Using daily interactive voice response technology to measure drinking and related behaviors in a pharmacotherapy study. Alcoholism: Clinical and Experimental Research, 28, 1060–1064. doi: 10.1097/01.ALC. 0000130806.12066.9C
   PubMed Web of Science ®Google Scholar
• Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34, 1–13. doi: 10.2307/1269547
   Web of Science ®Google Scholar
• Pacek, L. R., Malcolm, R. J., & Martins, S. S. (2012). Race/ethnicity differences between alcohol, marijuana, and co-occurring alcohol and marijuana use disorders and their association with public health and social problems using a national sample. The American Journal on Addictions, 21, 435–444. doi: 10.1111/j.1521-0391.2012.00249.x
   PubMed Web of Science ®Google Scholar
• Parrott, D. J., Galllagher, K. E., Vincent, W., & Bakeman, R. (2010). The link between alcohol use and aggression toward sexual minorities: An event-based analysis. Psychology of Addictive Behaviors, 24, 516–521. doi: 10.1037/a0019040
   Google Scholar
• Perrine, M. W., Mundt, J. C., Searles, J. S., & Lester, L. S. (1995). Validation of daily self-reported alcohol consumption using interactive voice response (IVR) technology. Journal of Studies on Alcohol, 56, 486–490.
   Google Scholar
• Rice, C. (2007). Retest reliability of self-reported daily drinking: Form 90. Journal of Studies on Alcohol and Drugs, 68, 615–618.
   PubMed Web of Science ®Google Scholar
• Ruppert, D., Wand, M. P., & Carroll, R. J. (2003). Semiparametric Regression. New York, NY: Cambridge Press.
   Google Scholar
• SAS Institute Inc. (2008). SAS/STAT 9.2 User's Guide. Cary, NC: SAS Institute Inc.
   Google Scholar
• Schroder, K. E. E., Carey, M. P., & Vanable, P. A. (2003). Methodological challenges in research on sexual risk behavior. Part II. Accuracy of self-reports. Annals of Behavioral Medicine, 26, 104–123. doi: 10.1207/S15324796ABM2602_03
   PubMed Web of Science ®Google Scholar
• Searles, J. S., Helzer, J. E., & Walter, D. E. (2000). Comparison of drinking patterns measured by daily reports and timeline follow back. Psychology of Addictive Behaviors, 14, 277–286. doi: 10.1037/0893-164X.14.3.277
   PubMed Web of Science ®Google Scholar
• Searles, J. S., Helzer, J. E., Rose, G. L., & Badger, G. J. (2002). Concurrent and retrospective reports of alcohol consumption across 30, 90, and 366 days: Interactive voice response compared with the timeline follow back. Journal of Studies on Alcohol, 63, 352–362.
   PubMed Web of Science ®Google Scholar
• Shrier, L. A., Walls, C., Rhoads, A., & Blood, E. A. (2013). Individual and contextual predictors of severity of marijuana use events among young frequent users. Addictive Behaviors, 38, 1448–1456. doi: 10.1016/j.addbeh.2012.05.026
   PubMed Web of Science ®Google Scholar
• Simpson, C. A., Xie, L., Blum, E. R., & Tucker, J. A. (2011). Agreement between prospective interactive voice response telephone reporting and structured recall reports of risk behaviors in rural substance users living with HIV/AIDS. Psychology of Addictive Behaviors, 25, 185–190. doi: 10.1037/a0022725
   PubMed Web of Science ®Google Scholar
• Simpson, T. L., Galloway, C., Rosenthal, C. F., Bush, K. R., McBride, B., & Kivlahan, D. R. (2010). Daily telephone monitoring compared with retrospective recall of alcohol use among patients in early recovery. The American Journal on Addictions, 20, 63–68. doi: 10.1111/j.1521-0391.2010.00094.x
   Google Scholar
• Sobell, L. C., & Sobell, M. B. (1992). Timeline follow-back: A technique for assessing self-reported ethanol consumption. In J. Allen & R. Z. Litten (Eds.), Measuring alcohol consumption: Psychosocial and biological methods (pp. 41–72). Totowa, NJ: Humana Press.
   Google Scholar
• Sobell, L. C., Sobell, M. B., Leo, G. I., & Cancilla, A. (1988). Reliability of a timeline method: Assessing normal drinkers’ reports of recent drinking and a comparative evaluation across several populations. British Journal of Addiction, 83, 393–402.
   PubMedGoogle Scholar
• Sobell, M. B., Sobell, L. C., Klajner, F., Pavan, D., & Basian, E. (1986). The reliability of a timeline method for assessing normal drinker college students’ recent drinking history: Utility for alcohol research. Addictive Behavior, 11, 149–161. doi: 10.1016/0306-4603(86)90040-7
   PubMed Web of Science ®Google Scholar
• Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society Series B, 64, 583–639. doi: 10.1111/1467-9868.00353
   Google Scholar
• Suffoletto, B., Callaway, C., Kristan, J., Kraemer, K., & Clark, D. B. (2012). Text-message-based drinking assessments and brief interventions for young adults discharged from the emergency department. Alcoholism: Clinical and Experimental Research, 36, 552–560. doi: 10.1111/j.1530-0277.2011.01646.x
   PubMed Web of Science ®Google Scholar
• Tourangeau, R., & Yan, T. (2007). Sensitive questions in surveys. Psychological Bulletin, 133, 859–883. doi: 10.1037/0033-2909.133.5.859
   PubMed Web of Science ®Google Scholar
• Tucker, J. A., Blum, E. R., Xie, L., Roth, D. L., & Simpson, C. A. (2012). Interactive voice response self-monitoring to assess risk behaviors in rural substance users living with HIV/AIDS. AIDS and Behavior, 16, 432–440. doi: 10.1007/s10461-011-9889-y
   PubMed Web of Science ®Google Scholar
• Tucker, J. A., Foushee, H. R., Black, B. C., & Roth, D. L. (2007). Agreement between prospective interactive voice response self-monitoring and structural retrospective reports of drinking and contextual variables during natural resolution attempts. Journal of Studies on Alcohol and Drugs, 68, 538–542.
   Google Scholar
• Vinson, D. C., Reidinger, C., & Wilcosky, T. (2003). Factors affecting the validity of a timeline follow-back interview. Journal of Studies on Alcohol, 64, 733–740.
   PubMed Web of Science ®Google Scholar
• Wang, S. J., Winchell, C. J., McCormick, C. G., Nevius, S. E., & O'Neill, R. T. (2002). Short of complete abstinence: An analysis exploration of multiple drinking episodes in alcoholism treatment trials. Alcoholism: Clinical and Experimental Research, 26, 1803–1809. doi: 10.1097/01.ALC.0000042009.07691.12
   PubMedGoogle Scholar
• WHO ASSIST Working Group. (2002). The alcohol, smoking and substance involvement screening test (ASSIST): Development, reliability and feasibility. Addiction, 97, 1183–1194.
   PubMed Web of Science ®Google Scholar
• Woodyard, C. D., & Hallam, J. S. (2010). Differences in college student typical drinking and celebration drinking. Journal of American College Health, 58, 533–538.
   PubMed Web of Science ®Google Scholar