Skip to main content

Advertisement

Log in

Drinking among university students with a history of reading difficulties: motivational and personality risk factors for hazardous levels of consumption

  • Published:
Annals of Dyslexia Aims and scope Submit manuscript

Abstract

An increasing number of students are entering university with reading difficulties—whether they be diagnosed or self-reported. Research demonstrates that university students who self-report a history of reading difficulties (HRD) have lower academic achievement and higher anxiety about academic performance as compared to peers without this history (NRD). Here we study other aspects of HRD students’ university experiences, focusing on alcohol consumption. Specifically, we investigated the drinking motives and personality characteristics likely to increase risk of hazardous alcohol consumption among HRD vs. NRD undergraduates. We identified 42 HRD and 54 NRD participants based on responses to a reading history questionnaire. Participants completed questionnaires assessing hazardous drinking, drinking motives, and alcohol-risk personality traits. Both groups reported similarly high levels of hazardous drinking. HRD students reported drinking more to conform with peers, and less to enhance positive moods, than NRD students. HRD students also scored higher in the alcohol personality risk of impulsivity. Our results support a unique pattern of motives and personality risks among HRD students, a pattern that likely puts them at increased risk for sustained hazardous drinking. Clinical implications for preventing problem drinking among HRD undergraduates are considered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Available of data and material

The material used herein is available upon request. The anonymized data is available to Canadian researchers.

Code availability

Not applicable.

Notes

  1. While .70 is typically considered the cut-off for acceptable internal consistency, some (e.g., Loewenthal & Lewis, 2020) argue that .60 should be treated as an acceptable cut-off for shorter scales (e.g., 10 items or less) given that more items generally translate into higher internal consistency values.

  2. Only drinkers can report on their motivations for drinking.

  3. Given our unexpected nonsignificant finding on hazardous drinking between HRD and NRD students, we ran follow-up analyses on proportions of drinkers and hazardous drinkers in each group. Chi-square analyses revealed no differences in the proportions of drinkers (2(1) = .164, p = .686) nor the proportion of hazardous drinkers (2(1) = .025; p = .875) across the HRD and NRD groups. Further, even if we examine only the drinkers, the HRD and NRD groups did not differ in the proportion who were hazardous drinkers, 2(1) = .020; p = .888.

References

  • Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Review, 96, 358–372. https://doi.org/10.1037/0033-295X.96.2.358

    Article  Google Scholar 

  • Adams, Z. W., Kaiser, A. J., Lynam, D. R., Charnigo, R. J., & Milich, R. (2012). Drinking motives as mediators of the impulsivity-substance use relation: Pathways for negative urgency, lack of premeditation, and sensation seeking. Addictive Behaviors, 37(7), 848–855. https://doi.org/10.1016/j.addbeh.2012.03.016

    Article  Google Scholar 

  • American College Health Association. (2013). National College Health Assessment II: Canadian Reference Group, Executive Summary, Spring 2013. Hanover, MD: American College Health Association.

  • Baines, L., Jones, A., & Christiansen, P. (2016). Hopelessness and alcohol use: The mediating role of drinking motives and outcome expectancies. Addictive Behaviors Reports, 4, 65–69. https://doi.org/10.1016/j.abrep.2016.11.001

    Article  Google Scholar 

  • Bamberger, P. A., Koopmann, J., Wang, M., Larimer, M., Nahum-Shani, I., Geisner, I., & Bacharach, S. B. (2018). Does college alcohol consumption impact employment upon graduation? Findings from a prospective study. Journal of Applied Psychology, 103(1), 111-121. https://doi.org/10.1037%2Fapl0000244

  • Beitchman, J. H., Wilson, B., Douglas, L., Young, A., & Adlaf, E. (2001). Substance use disorders in young adults with and without LD: Predictive and concurrent relationships. Journal of Learning Disabilities, 34(4), 317–332. https://doi.org/10.1177/002221940103400407

    Article  Google Scholar 

  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing.Journal of the Royal Statistical Society: Series B, Methodological, 57(1), 289–300. https://www.jstor.org/stable/2346101

  • Bergey, B. W., Deacon, S. H., & Parrila, R. K. (2017). Metacognitive reading and study strategies and academic achievement of university students with and without a history of reading difficulties. Journal of Learning Disabilities, 50(1), 81–94. https://doi.org/10.1177%2F0022219415597020

  • Bilevicius, E., Van Landeghem, C., Stewart, S. H., Sherry, S. B., & Keough, M. T. (2021). Trait impulsivity impedes maturing out of problem drinking among socially anxious undergraduates. Alcohol and Alcoholism, 56(1), 101–108. https://doi.org/10.1093/alcalc/agaa109

    Article  Google Scholar 

  • Bohn, M. J., Babor, T. F., & Kranzler, H. R. (1995). The alcohol use disorders identification test (AUDIT): Validation of a screening instrument for use in medical settings. Journal of Studies on Alcohol, 37, 423–432. https://doi.org/10.15288/jsa.1995.56.423

    Article  Google Scholar 

  • Bolin, R. M., Pate, M., & McClintock, J. (2017). The impact of alcohol and marijuana use on academic achievement among college students. The Social Science Journal, 54(4), 430–437. https://doi.org/10.1016/j.soscij.2017.08.003

    Article  Google Scholar 

  • Canale, N., Vieno, A., Santinello, M., Chieco, F., & Andriolo, S. (2015). The efficacy of computerized alcohol intervention tailored to drinking motives among college students: A quasi-experimental pilot study. The American Journal of Drug and Alcohol Abuse, 41(2), 183–187. https://doi.org/10.3109/00952990.2014.991022

    Article  Google Scholar 

  • Castellanos-Ryan, N., & Conrod, P. (2012). Personality and substance misuse: Evidence for a four-factor model of vulnerability. In J. C. Verster, K. Brady, M. Galanter, & P. Conrod (Eds.), Drug abuse and addiction in medical illness: Causes, consequences, and treatment (pp. 47–62). Springer.

    Chapter  Google Scholar 

  • Charach, A., Yeung, E., Climans, T., &  Lillie, E. (2011). Childhood attention-deficit/hyperactivity disorder and future substance use disorders: Comparative meta-analyses. Journal of the American Academy of Child & Adolescent Psychiatry, 50(1), 9–21. https://doi.org/10.1016/j.jaac.2010.09.019

  • Child, A. E., Cirino, P. T., Fletcher, J. M., Willcutt, E. G., & Fuchs, L. S. (2019). A cognitive dimensional approach to understanding shared and unique contributions to reading, math, and attention Skills. Journal of Learning Disabilities, 52(1), 15–30. https://doi.org/10.1177/0022219418775115

  • Comeau, N., Stewart, S. H., & Loba, P. (2001). The relations of trait anxiety, anxiety sensitivity, and sensation seeking to adolescents’ motivations for alcohol, cigarette, and marijuana use. Addictive Behaviors, 26, 803–825. https://doi.org/10.1016/s0306-4603(01)00238-6

    Article  Google Scholar 

  • Conrod, P. J., Stewart, S. H., Comeau, N. A., & Maclean, M. (2006). Efficacy of cognitive–behavioral interventions targeting personality risk factors for youth alcohol misuse. Journal of Clinical Child & Adolescent Psychology, 35 (4), 550–563. https://doi.org/10.1207/s15374424jccp3504_6

  • Cooper, M. L. (1994). Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment, 6, 117–128. https://doi.org/10.1037/1040-3590.6.2.117

    Article  Google Scholar 

  • Cooper, M. L., Kuntsche, E., Levitt, A., Barber, L. L., & Wolf, S. (2016). Motivational models of substance use: A review of theory and research on motives for using alcohol, marijuana, and tobacco. In K. Sher (Ed.), The Oxford handbook of substance use and substance use disorders (Vol. 1, pp. 375–421). Oxford University Press.

    Google Scholar 

  • Cosden, M. (2001). Risk and resilience for substance abuse among adolescents and adults with LD. Journal of Learning Disabilities, 34(4), 352–358. https://doi.org/10.1177/002221940103400410

  • Dawe, S., & Loxton, N. J. (2004). The role of impulsivity in the development of substance use and eating disorders. Neuroscience and Biobehavioral Reviews, 28(3), 343–351. https://doi.org/10.1016/j.neubiorev.2004.03.007

    Article  Google Scholar 

  • Dawson, D. A., Grant, B. F., Stinson, F. S., & Zhou, Y. (2005). Effectiveness of the derived Alcohol Use Disorders Identification Test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population. Alcoholism: Clinical and Experimental Research, 29(5), 844–854. https://doi.org/10.1097/01.ALC.0000164374.32229.A2

    Article  Google Scholar 

  • Deacon, S. H., Cook, K., & Parrila, R. (2012). Identifying high-functioning dyslexics: Is self-report of early reading problems enough? Annals of Dyslexia, 62(2), 120–134. https://doi.org/10.1007/s11881-012-0068-2

    Article  Google Scholar 

  • DuPaul, G. J., Gormley, M. J., & Laracy, S. D. (2013). Comorbidity of LD and ADHD: Implications of DSM-5 for assessment and treatment. Journal of Learning Disabilities, 46(1), 43–51. https://doi.org/10.1177/0022219412464351

    Article  Google Scholar 

  • DuPaul, G. J., Pinho, T. D., Pollack, B. L., Gormley, M. J., & Laracy, S. D. (2017). First-year college students with ADHD and/or LD: Differences in engagement, positive core self-evaluation, school preparation, and college expectations. Journal of Learning Disabilities, 50(3), 238–251. https://doi.org/10.1177/002221941561716

    Article  Google Scholar 

  • Elgendi, M. M., Stewart, S. H., MacKay, E. J., & Deacon, H. (2021). Two aspects of psychological functioning in undergraduates with a history of reading difficulties: Anxiety and self-efficacy. Annals of Dyslexia, 71, 84–102. https://doi.org/10.1007/s11881-021-00223-3

    Article  Google Scholar 

  • Francis, D. A., Caruana, N., Hudson, J. L., & McArthur, G. M. (2019). The association between poor reading and internalising problems: A systematic review and meta-analysis. Clinical Psychology Review, 67,45–60. https://doi.org/10.1016/j.cpr.2018.09.002

  • Fuller-Thomson, E., Lewis, D. A., & Agbeyaka, S. (2021). Attention-deficit/hyperactivity disorder and alcohol and other substance use disorders in young adulthood: Findings from a Canadian Nationally Representative Survey. Alcohol and Alcoholism, 57(3), 385–395. https://doi.org/10.1093/alcalc/agab048

  • Grant, V. V., Stewart, S. H., O’Connor, R. M., Blackwell, E., & Conrod, P. J. (2007). Psychometric evaluation of the five-factor modified drinking motives questionnaire – Revised in undergraduates. Addictive Behaviours, 32, 2611–2632. https://doi.org/10.1016/j.addbeh.2007.07.004

    Article  Google Scholar 

  • Hamdan-Mansour, A. M., Mahmoud, K. F., Al Shibi, A. N., & Arabiat, D. H. (2018). Impulsivity and sensation-seeking personality traits as predictors of substance use among university students. Journal of Psychosocial Nursing and Mental Health Services, 56(1), 57–63. https://doi.org/10.3928/02793695-20170905-04

    Article  Google Scholar 

  • Hebert, M., Zhang, X., & Parrila, R. (2018). Examining reading comprehension text and question answering time differences in university students with and without a history of reading difficulties. Annals of Dyslexia, 68(1), 15–24. https://doi.org/10.1007/s11881-017-0153-7

    Article  Google Scholar 

  • Heiman, T., & Shemesh, D. O. (2019). Predictors of cyber-victimization of higher-education students with and without learning disabilities. Journal of Youth Studies, 22(2), 205–222. https://doi.org/10.1080/13676261.2018.1492103

    Article  Google Scholar 

  • Hen, M., & Goroshit, M. (2014). Academic procrastination, emotional intelligence, academic self-efficacy, and GPA: A comparison between students with and without learning disabilities. Journal of Learning Disabilities, 47, 116–124. https://doi.org/10.1177/0022219412439325

    Article  Google Scholar 

  • Huang, C. (2015). Relation between attributional style and subsequent depressive symptoms: A systematic review and meta-analysis of longitudinal studies. Cognitive Therapy and Research, 39(6), 721–735. https://doi.org/10.1007/s10608-015-9700-x

    Article  Google Scholar 

  • Hudson, A., Thompson, K., MacNevin, P. D., Ivany, M., Teehan, M., Stuart, H., & Stewart, S. H. (2018). University students’ perceptions of links between substance use and mental health: A qualitative focus group study. Emerging Adulthood, 6(6), 399–410. https://doi.org/10.1177/2167696817748106

    Article  Google Scholar 

  • Jhanjee, S. (2015). Dyslexia and substance abuse: The under-recognized link. Indian Journal of Psychological Medicine, 37(3), 374–375. https://doi.org/10.4103/0253-7176.162905

    Article  Google Scholar 

  • Joiner, T. R. (2000). A test of the hopelessness theory of depression in youth psychiatric inpatients. Journal of Clinical Child Psychology, 19, 231–242. https://doi.org/10.1207/s15374424jccp2902_3

    Article  Google Scholar 

  • Jones, K. A., Chryssanthakis, A., & Groom, M. J. (2014). Impulsivity and drinking motives predict problem behaviours relating to alcohol use in university students. Addictive Behaviors, 39(1), 289–296. https://doi.org/10.1016/j.addbeh.2013.10.024

    Article  Google Scholar 

  • Kemp, N., Parrila, R. K., & Kirby, J. R. (2009). Phonological and orthographic spelling in high-functioning adult dyslexics. Dyslexia, 15(2), 105–128. https://doi.org/10.1002/dys.364

  • Klassen, R. M., Tze, V. M. C., & Hannok, W. (2013). Internalizing problems of adults with learning disabilities: A meta-analysis. Journal of Learning Disabilities, 46(4), 317–327. https://doi.org/10.1177/0022219411422260

    Article  Google Scholar 

  • Krank, M., Stewart, S. H., O’Connor, R., Woicik, P. B., Wall, A.-M., & Conrod, P. J. (2011). Structural, concurrent, and predictive validity of the Substance Use Risk Profile Scale in early adolescence. Addictive Behaviours, 36, 37–46. https://doi.org/10.1016/j.addbeh.2010.08.010

    Article  Google Scholar 

  • Kuntsche, E., Stewart, S. H., & Cooper, M. L. (2008). How stable is the motive-alcohol use link? A cross-national validation of the Drinking Motives Questionnaire Revised among adolescents from Switzerland, Canada, and the United States. Journal of Studies on Alcohol and Drugs, 69(3), 388–396. /04/25. https://doi.org/10.15288/jsad.2008.69.388

  • Learning Disabilities Association of Ontario. (2018). Learning disabilities statistics. https://www.ldao.ca/introduction-to-ldsadhd/articles/about-lds/learning-disabilities-statistics/

  • Loewenthal, K. M., & Lewis, C. A. (2020). An introduction to psychological tests and scales (3rd ed.). Oxfordshire, UK: Routledge.

  • MacKay, E. J., Laroche, A., Parrila, R., & Deacon, S. H. (2019). A beginning exploration of text generation abilities in university students with a history of reading difficulties. Dyslexia, 25(2), 207–218. https://doi.org/10.1002/dys.1610

    Article  Google Scholar 

  • McGregor, K. K., Langenfeld, N., Van Horne, S., Oleson, J., Anson, M., & Jacobson, W. (2016). The university experiences of students with learning disabilities. Learning Disabilities Research & Practice, 31(2), 90–102. https://doi.org/10.1111/ldrp.12102

    Article  Google Scholar 

  • McLaughlin, E. N., Stewart, S. H., & Taylor, S. (2007). Childhood anxiety sensitivity factors predict unique variance in DSM-IV anxiety disorder symptoms. Cognitive-Behaviour Therapy, 36, 210–219. https://doi.org/10.1080/16506070701499988

    Article  Google Scholar 

  • McNamara, J. K., & Willoughby, T. (2010). A longitudinal study of risk-taking behavior in adolescents with learning disabilities. Learning Disabilities Research & Practice, 25(1), 11–24. https://doi.org/10.1111/j.1540-5826.2009.00297.x

    Article  Google Scholar 

  • Merrill, J. E., Wardell, J. D., & Read, J. P. (2014). Drinking motives in the prospective prediction of unique alcohol-related consequences in college students. Journal of Studies on Alcohol and Drugs, 75, 93–102. https://doi.org/10.15288%2Fjsad.2014.75.93

  • Narain, T. A., Stuart, H., Krupa, T., Stewart, S., & Dobson, K. (2018). Questioning the social norms approach for alcohol reduction in first-year undergraduate students–A Canadian perspective. Canadian Journal of Community Mental Health, 37(3), 145–156. https://doi.org/10.7870/cjcmh-2018-016

    Article  Google Scholar 

  • Newton, N. C., Stapinski, L., Teesson, M., Slade, T., Champion, K. E., Barrett, E. L., Birrell, L., Kelly, E., Mather, M., & Conrod, P. J. (2020). Evaluating the differential effectiveness of social influence and personality-targeted alcohol prevention on mental health outcomes among high-risk youth: A novel cluster randomised controlled factorial design trial. The Australian and New Zealand Journal of Psychiatry, 54(3), 259–271. https://doi.org/10.1177/0004867419877948

    Article  Google Scholar 

  • Olatunji, B. O., & Wolitzky-Taylor, K. B. (2009). Anxiety sensitivity and the anxiety disorders: A meta-analytic review and synthesis. Psychological Bulletin, 135(6), 974–999. https://doi.org/10.1037/a0017428

    Article  Google Scholar 

  • Palifova, M., Veselska, Z. D., Bobakova, D., Holubcikova, J., Cermak, I., Geckova, A. M., van Dijk, J. P., & Reijneveld, S. A. (2016). Is risk-taking behaviour more prevalent among adolescents with learning disabilities? European Journal of Public Health, 27(3), 501–506. https://doi.org/10.1093/eurpub/ckw201

  • Parrila, R., Georgiou, G., & Corkett, J. (2007). University students with a significant history of reading difficulties: What is and is not compensated? Exceptionality Education International, 17(2), 195–220. https://doi.org/10.5206/eei.v17i2.7604

    Article  Google Scholar 

  • Parrila, R, Corkett, J., Kirby, J., & Hein, S. (2003). Adult Reading History Questionnaire-Revised. [Unpublished Questionnaire]. Alberta, CA: Department of Psychology, University of Alberta.

  • Patrick, M. E., Maggs, J. L., & Osgood, D. W. (2010). Latenight Penn State alcohol-free programming: Students drink less on days they participate. Prevention Science, 11(2), 155–162. https://doi.org/10.1007/s11121-009-0160-y

    Article  Google Scholar 

  • Peterson, R. L., McGrath, L. M., Willcutt, E. G., Keenan, J. M., Olson, R. K., & Pennington, B. F. (2021). How specific are learning disabilities? Journal of Learning Disabilities, 54(6), 466–483. https://doi.org/10.1177/0022219420982981

  • Philpott, D. F., & Fiedorowicz, C. A. M. (2012). The Supreme Court of Canada ruling on learning disabilities.http://www.ldac-acta.ca

  • Pihl, R. O., & Peterson, J. B. (1995). Alcoholism: The role of different motivational systems. Journal of Psychiatry and Neuroscience, 20, 372–396. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc1188721/

  • Read, J. P., Kahler, C. W., Strong, D. R., & Colder, C. R. (2006). Development and preliminary validation of the Young Adult Alcohol Consequences Questionnaire. Journal of Studies on Alcohol, 67(1), 169–177. https://doi.org/10.15288/jsa.2006.67.169

    Article  Google Scholar 

  • Reiss, S., Peterson, R. A., Gursky, D. M., & McNally, R. J. (1986). Anxiety sensitivity, anxiety frequency and the predictions of fearfulness. Behaviour Research and Therapy, 24(1), 1–8. https://doi.org/10.1016/0005-7967(86)90143-9

    Article  Google Scholar 

  • Richards, D. K., Pearson, M. R., & Field, C. A. (2021). A comprehensive examination of alcohol-related motivations among college students: Unique relations of drinking motives and motivations for drinking responsibly. Experimental and Clinical Psychopharmacology.https://doi.org/10.1037/pha0000526

  • Rosenstreich, E., Feldman, D. B., Davidson, O. B., Maza, E., & Margalit, M. (2015). Hope, optimism and loneliness among first-year college students with learning disabilities: A brief longitudinal study. European Journal of Special Needs Education, 30(3), 338–350. https://doi.org/10.1080/08856257.2015.1023001

    Article  Google Scholar 

  • Saunders, J. B., Aasland, O. G., Babor, T. F., De La Fuente, J. R., & Grant, M. (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption – II. Addiction, 88, 791–804. https://doi.org/10.1111/j.1360-0443.1993.tb02093.x

    Article  Google Scholar 

  • Sayette, M. A., Creswell, K. G., Dimoff, J. D., Fairbairn, C. E., Cohn, J. F., Heckman, B. W., Kirchner, T. R., Levine, J. M., & Moreland, R. L. (2012). Alcohol and group formation: A multimodal investigation of the effects of alcohol on emotion and social bonding. Psychological Science, 23(8), 869–878. https://doi.org/10.1177/0956797611435134

    Article  Google Scholar 

  • Schmidt, N. B., Buckner, J. D., & Keough, M. E. (2007). Anxiety sensitivity as a prospective predictor of alcohol use disorders. Behaviour Modification, 31, 202–219. https://doi.org/10.1177/0145445506297019

    Article  Google Scholar 

  • Silvestri, M. M., Knight, H., Britt, J., & Correia, C. J. (2015). Beyond risky alcohol use: Screening non-medical use of prescription drugs at National Alcohol Screening Day. Addictive Behaviors, 43, 25–27. https://doi.org/10.1016/j.addbeh.2014.10.027

    Article  Google Scholar 

  • Simons, J. S., Gaher, R. M., Correia, C. J., Hansen, C. L., & Christopher, M. S. (2005). An affective-motivational model of drinking risk. Psychology of Addictive Behaviours, 24, 198–208. https://doi.org/10.1037/0893-164x.19.3.326

    Article  Google Scholar 

  • Stack-Cutler, H., Parrila, R., Jokisaari, M., & Nurmi, J.-E. (2015). How adults with reading difficulties are supported in achieving their goals. Journal of Learning Disabilities, 48(3), 323–334. https://doi.org/10.1177/0022219413505773

    Article  Google Scholar 

  • Stack-Cutler, H., Parrila, R. K., & Torppa, M. (2016). University students with reading difficulties: Do perceived supports and comorbid difficulties predict well-being and GPA? Learning Disabilities Research and Practice, 31(1), 45–55. https://doi.org/10.1111/ldrp.12092

  • Stautz, K., & Cooper, A. (2013). Impulsivity-related personality traits and adolescent alcohol use: A meta-analytic review. Clinical Psychology Review, 33, 574–592. https://doi.org/10.1016/j.cpr.2013.03.003

    Article  Google Scholar 

  • Stigler, M. H., Neusel, E., & Perry, C. L. (2011). School-based programs to prevent and reduce alcohol use among youth.Alcohol Research: Current Reviews, 34(2), 157–162. https://www.ncbi.nlm.nih.gov/pubmed/22330213

  • Stuart, H., Chen, S. P., Krupa, T., Narain, T., Horgan, S., Dobson, K., & Stewart, S. H. (2019). The Caring Campus Project overview. Canadian Journal of Community Mental Health, 37, 69–82. https://doi.org/10.7870/cjcmh-2018-017

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Allyn & Bacon.

    Google Scholar 

  • Taylor, S. (2020). Anxiety sensitivity. In J. S. Abramowitz & S. M. Blakey (Eds.), Clinical handbook of fear and anxiety: Maintenance processes and treatment mechanisms (p. 65–80). Washington, DC: American Psychological Association. https://doi.org/10.1037/0000150-004

  • Wadsworth, S. J., DeFries, J. C., Willcutt, E. G., Pennington, B. F., & Olson, R. K. (2015). The Colorado longitudinal twin study of reading difficulties and ADHD: Etiologies of comorbidity and stability. Twin Research and Human Genetics, 18(6), 755–761. https://doi.org/10.1017/thg.2015.66

    Article  Google Scholar 

  • Wilcockson, T. D., Pothos, E. M., & Fawcett, A. J. (2016). Dyslexia and substance use in a university undergraduate population. Substance Use and Misuse, 51(1), 15–22. https://doi.org/10.3109/10826084.2015.1073322

    Article  Google Scholar 

  • Wilson, A. M., Armstrong, C. D., Furrie, A., & Walcot, E. (2009). The mental health of Canadians with self-reported learning disabilities. Journal of Learning Disabilities, 42(1), 24–40. https://doi.org/10.1177/0022219408326216

    Article  Google Scholar 

  • Woicik, P. A., Stewart, S. H., Pihl, R. O., & Conrod, P. J. (2009). The Substance Use Risk Profile Scale: A scale measuring traits linked to reinforcement-specific substance use profiles. Addictive Behaviors, 34, 1042–1055. https://doi.org/10.1016/j.addbeh.2009.07.001

    Article  Google Scholar 

  • Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge University Press.

    Google Scholar 

Download references

Funding

This project was funded by Movember Canada and SSHRC.

Author information

Authors and Affiliations

Authors

Contributions

Each author contributed to the design, analyses, and writing of this project. Elizabeth MacKay and Mariam Elgendi are PhD students supervised by Drs. Stewart and Deacon.

Corresponding author

Correspondence to Elizabeth MacKay.

Ethics declarations

Ethics approval

This project has ongoing ethics approval from Dalhousie University REB (Coping in University; 2017–4084).

Consent to participate

All participants signed a consent form prior to participating in this study.

Consent for publication

All participants who agreed to participate also agreed to anonymized publication of their aggregated data.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

MacKay, E., Deacon, S., Elgendi, M.M. et al. Drinking among university students with a history of reading difficulties: motivational and personality risk factors for hazardous levels of consumption. Ann. of Dyslexia 72, 487–508 (2022). https://doi.org/10.1007/s11881-022-00266-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11881-022-00266-0

Keywords

Navigation