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Open Access 01-08-2019

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

Authors: Andrew Percy, Ashley Agus, Jon Cole, Paul Doherty, David Foxcroft, Séamus Harvey, Michael McKay, Lynn Murphy, Harry Sumnall

Published in: Prevention Science | Issue 6/2019

Abstract

The aim of this study was to examine the extent of recanting (inconsistencies in reporting of lifetime alcohol use) and its impact on the assessment of primary outcomes within a large-scale alcohol prevention trial. One hundred and five post-primary schools in were randomised to receive either the intervention or education as normal. Participants (N = 12,738) were secondary school students in year 8/S1 (mean age 12.5) at baseline. Self-report questionnaires were administered at baseline (T0) and at T1 (+ 12 months post-baseline), T2 (+ 24 months) and T3 (+ 33 months). The primary outcomes were (i) heavy episodic drinking (consumption of ≥ 6 units in a single episode in the previous 30 days for males and ≥ 4.5 units for females) assessed at T3 and (ii) the number of alcohol-related harms experienced in the last 6 months assessed at T3. Recanting was defined as a negative report of lifetime alcohol consumption that contradicted a prior positive report. Between T1 and T3, 9.9% of students recanted earlier alcohol consumption. Recanting ranged from 4.5 to 5.3% across individual data sweeps. While recanting was significantly associated (negatively) with both primary outcomes, the difference in the rate of recanting across trial arms was small, and adjusting for recanting within the primary outcome models did not impact on the primary outcome effects. Males were observed to recant at a greater rate than females, with a borderline small-sized effect (V = .09). While differential rates of recanting have the potential to undermine the analysis of prevention trial outcomes, recanting is easy to identify and control for within trial primary outcome analyses. Adjusting for recanting should be considered as an additional sensitivity test within prevention trials.

Trial Registration: ISRCTN47028486 (http://www.isrctn.com/ISRCTN47028486). The date of trial registration was 23/09/2011, and school recruitment began 01/11/2011.

Bailey, S. L., Flewelling, R. L., & Rachal, J. V. (1992). The characterization of inconsistencies in self-reports of alcohol and marijuana use in a longitudinal study of adolescents. Journal of Studies on Alcohol, 53(6), 636–647.CrossRefPubMed

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(1), 67–78.CrossRefPubMed

Dariotis, J. K., Pleck, J. H., Sonenstein, F. L., Astone, N. M., & Sifakis, F. (2009). What are the consequences of relying upon self-reports of sexually transmitted diseases? Lessons learned about recanting in a longitudinal study. Journal of Adolescent Health, 45(2), 187–192. https://doi.org/10.1016/j.jadohealth.2008.12.024.CrossRef

Engels, R. C., Knibbe, R. A., & Drop, M. J. (1997). Inconsistencies in adolescents’ self-reports of initiation of alcohol and tobacco use. Addictive Behaviors, 22(5), 613–623.CrossRefPubMed

Ensminger, M. E., Juon, H. S., & Green, K. M. (2007). Consistency between adolescent reports and adult retrospective reports of adolescent marijuana use: Explanations of inconsistent reporting among an African American population. Drug and Alcohol Dependence, 89(1), 13–23. https://doi.org/10.1016/j.drugalcdep.2006.11.011.CrossRefPubMed

Fendrich, M. (2005). The undeniable problem of recanting. Addiction, 100(2), 143–144. https://doi.org/10.1111/j.1360-0443.2005.00993.x.CrossRefPubMed

Fendrich, M., & Mackesy-Amiti, M. E. (1995). Inconsistencies in lifetime cocaine and marijuana use reports: Impact on prevalence and incidence. Addiction, 90(1), 111–118.CrossRefPubMed

Fendrich, M., & Mackesy-Amiti, M. E. (2000). Decreased drug reporting in a cross-sectional student drug use survey. Journal of Substance Abuse, 11(2), 161–172.CrossRefPubMed

Fendrich, M., & Rosenbaum, D. P. (2003). Recanting of substance use reports in a longitudinal prevention study. Drug and Alcohol Dependence, 70(3), 241–253.CrossRefPubMed

Griesler, P. C., Kandel, D. B., Schaffran, C., Hu, M. C., & Davies, M. (2008). Adolescents’ inconsistency in self-reported smoking: A comparison of reports in school and in household settings. Public Opinion Quarterly, 72(2), 260–290. https://doi.org/10.1093/poq/nfn016.CrossRefPubMed

Harris, K. M., Griffin, B. A., McCaffrey, D. F., & Morral, A. R. (2008). Inconsistencies in self-reported drug use by adolescents in substance abuse treatment: Implications for outcome and performance measurements. Journal of Substance Abuse Treatment, 34(3), 347–355. https://doi.org/10.1016/j.jsat.2007.05.004.CrossRefPubMed

Hrobjartsson, A., Emanuelsson, F., Skou Thomsen, A. S., Hilden, J., & Brorson, S. (2014). Bias due to lack of patient blinding in clinical trials. A systematic review of trials randomizing patients to blind and nonblind sub-studies. International Journal of Epidemiology, 43(4), 1272–1283. https://doi.org/10.1093/ije/dyu115.CrossRefPubMedPubMedCentral

Johnston, L. D., & O'Malley, P. M. (1997). The recanting of earlier reported drug use by young adults. NIDA Research Monograph, 167, 59–80.PubMed

Kaner, E. F., Beyer, F. R., Garnett, C., Crane, D., Brown, J., Muirhead, C., et al. (2017). Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community-dwelling populations. Cochrane Database of Systematic Reviews, 9, CD011479. https://doi.org/10.1002/14651858.CD011479.pub2.CrossRefPubMed

Koning, I. M., Harakeh, Z., Engels, R. C., & Vollebergh, W. A. (2010). A comparison of self-reported alcohol use measures by early adolescents: Questionnaires versus diary. Journal of Substance Use, 15(3), 166–173.CrossRef

Macleod, J., Hickman, M., & Smith, G. D. (2005). Reporting bias and self-reported drug use. Addiction, 100(4), 562–563.CrossRefPubMed

Mars, B., Cornish, R., Heron, J., Boyd, A., Crane, C., Hawton, K., et al. (2016). Using data linkage to investigate inconsistent reporting of self-harm and questionnaire non-response. Archives of Suicide Research, 20(2), 113–141. https://doi.org/10.1080/13811118.2015.1033121.CrossRefPubMedPubMedCentral

Martino, S. C., McCaffrey, D. F., Klein, D. J., & Ellickson, P. L. (2009). Recanting of life-time inhalant use: How big a problem and what to make of it. Addiction, 104(8), 1373–1381. https://doi.org/10.1111/j.1360-0443.2009.02598.x.CrossRefPubMedPubMedCentral

McCambridge, J., & Strang, J. (2006). The reliability of drug use data collected in the classroom: What is the problem, why does it matter and how should it be approached? Drug and Alcohol Review, 25(5), 413–418. https://doi.org/10.1080/09595230600868496.CrossRefPubMed

McKay, M., Agus, A., Cole, J., Doherty, P., Foxcroft, D., Harvey, S., et al. (2018). Steps Towards Alcohol Misuse Prevention Programme (STAMPP): A school-based and community-based cluster randomised controlled trial. BMJ Open, 8(3), e019722. https://doi.org/10.1136/bmjopen-2017-019722.CrossRefPubMedPubMedCentral

Palen, L. A., Smith, E. A., Caldwell, L. L., Flisher, A. J., Wegner, L., & Vergnani, T. (2008). Inconsistent reports of sexual intercourse among South African high school students. Journal of Adolescent Health, 42(3), 221–227. https://doi.org/10.1016/j.jadohealth.2007.08.024.CrossRef

Percy, A., McAlister, S., Higgins, K., McCrystal, P., & Thornton, M. (2005). Response consistency in young adolescents’ drug use self-reports: A recanting rate analysis. Addiction, 100(2), 189–196. https://doi.org/10.1111/j.1360-0443.2004.00943.x.CrossRefPubMed

Rosenbaum, J. E. (2009). Truth or consequences: The intertemporal consistency of adolescent self-report on the Youth Risk Behavior Survey. American Journal of Epidemiology, 169(11), 1388–1397. https://doi.org/10.1093/aje/kwp049.CrossRefPubMedPubMedCentral

Sargent, J. D., Gabrielli, J., Budney, A., Soneji, S., & Wills, T. A. (2017). Adolescent smoking experimentation as a predictor of daily cigarette smoking. Drug and Alcohol Dependence, 175, 55–59. https://doi.org/10.1016/j.drugalcdep.2017.01.038.CrossRefPubMedPubMedCentral

Shillington, A. M., & Clapp, J. D. (2000). Self-report stability of adolescent substance use: Are there differences for gender, ethnicity and age? Drug and Alcohol Dependence, 60(1), 19–27.CrossRefPubMed

Shillington, A. M., Clapp, J. D., & Reed, M. B. (2011a). The stability of self-reported marijuana use across eight years of the National Longitudinal Survey of youth. Journal of Child & Adolescent Substance Abuse, 20(5), 407–420.CrossRef

Shillington, A. M., Clapp, J. D., Reed, M. B., & Woodruff, S. I. (2010). Adolescent alcohol use self-report stability: A decade of panel study data. Journal of Child & Adolescent Substance Abuse, 20(1), 63–81. https://doi.org/10.1080/1067828X.2011.534366.CrossRef

Shillington, A. M., Cottler, L. B., Mager, D. E., & Compton, W. M., 3rd. (1995). Self-report stability for substance use over 10 years: Data from the St. Louis Epidemiologic Catchment Study. Drug and Alcohol Dependence, 40(2), 103–109.CrossRefPubMed

Shillington, A. M., Roesch, S. C., Reed, M. B., Clapp, J. D., & Woodruff, S. I. (2011b). Typologies of recanting of lifetime cigarette, alcohol and marijuana use during a six-year longitudinal panel study. Drug and Alcohol Dependence, 118(2–3), 134–140. https://doi.org/10.1016/j.drugalcdep.2011.03.009.CrossRefPubMedPubMedCentral

Sibley, M. H., Pelham, W. E., Molina, B. S., Waschbusch, D. A., Gnagy, E. M., Babinski, D. E., & Biswas, A. (2010). Inconsistent self-report of delinquency by adolescents and young adults with ADHD. Journal of Abnormal Child Psychology, 38(5), 645–656. https://doi.org/10.1007/s10802-010-9404-3.CrossRefPubMedPubMedCentral

Siddiqui, O., Mott, J. A., Anderson, T. L., & Flay, B. R. (1999). Characteristics of inconsistent respondents who have “ever used” drugs in a school-based sample. Substance Use and Misuse, 34(2), 269–295.CrossRefPubMed

Soulakova, J. N., & Crockett, L. J. (2014). Consistency and recanting of ever-smoking status reported by self and proxy respondents one year apart. Journal of Addictive Behaviors, Therapy & Rehabilitation, 3(1), 1000113. https://doi.org/10.4172/2324-9005.1000114.CrossRef

Stanton, C. A., Papandonatos, G., Lloyd-Richardson, E. E., & Niaura, R. (2007). Consistency of self-reported smoking over a 6-year interval from adolescence to young adulthood. Addiction, 102(11), 1831–1839. https://doi.org/10.1111/j.1360-0443.2007.01974.x.CrossRefPubMedPubMedCentral

Taylor, M., Sullivan, J., Ring, S. M., Macleod, J., & Hickman, M. (2017). Assessment of rates of recanting and hair testing as a biological measure of drug use in a general population sample of young people. Addiction, 112(3), 477–485. https://doi.org/10.1111/add.13645.CrossRefPubMed

Thabane, L., Mbuagbaw, L., Zhang, S., Samaan, Z., Marcucci, M., Ye, C., et al. (2013). A tutorial on sensitivity analyses in clinical trials: The what, why, when and how. BMC Medical Research Methodology, 13, 92. https://doi.org/10.1186/1471-2288-13-92.CrossRefPubMedPubMedCentral

Title: Recanting of Previous Reports of Alcohol Consumption within a Large-Scale Clustered Randomised Control Trial
Authors: Andrew Percy
Ashley Agus
Jon Cole
Paul Doherty
David Foxcroft
Séamus Harvey
Michael McKay
Lynn Murphy
Harry Sumnall
Publication date: 01-08-2019
Publisher: Springer US
Published in: Prevention Science / Issue 6/2019
Print ISSN: 1389-4986
Electronic ISSN: 1573-6695
DOI: https://doi.org/10.1007/s11121-019-0981-2

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

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