Abstract
Purpose
Although attention deficit hyperactivity disorder (ADHD) has been associated with illicit stimulants use, less is known about their prospective association in university students. We aimed to examine the association between ADHD symptoms at inclusion and illicit stimulants use following 1 year among university students.
Methods
The i-Share cohort recruited French students from February 2013 to July 2020. The study included 4270 participants. The Adult ADHD Self-Report Scale (ASRS) was used to evaluate ADHD symptoms at inclusion. Illicit stimulants use was assessed at inclusion and 1 year after inclusion. Multivariable logistic regressions were conducted to assess the association between ADHD symptoms at inclusion and illicit stimulants use following 1 year.
Results
High levels of ADHD symptoms at inclusion were associated with a greater probability of illicit stimulants use following 1 year (adjusted OR: 2.42 (1.51–3.8)). The adjusted odds ratio was 2.7 (1.08–7.84) among participants who had used illicit stimulant at least once (continuation) and 2.25 (1.04–4.37) among participants who had never used illicit stimulants at inclusion (initiation). Conclusion: High levels of ADHD symptoms are a feature that may promote both initiation and continuation of illicit stimulants use among university students. Our findings suggest that university students with high levels of ADHD symptoms may benefit from screening to help identify those at risk of illicit stimulants use.
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Data availability
The data that support the findings of this study are available from the authors. Restrictions apply to the availability of these data, which were used under the restrictions of French law for numeric data. Data are available from the authors considering the legal limitations.
References
American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders: DSM-5, 5th edn. American Psychiatric Association, Washington, D.C.
Polanczyk GV, Salum GA, Sugaya LS et al (2015) Annual research review: a meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry 56:345–365
Lee SS, Humphreys KL, Flory K et al (2011) Prospective association of childhood attention-deficit/hyperactivity disorder (ADHD) and substance use and abuse/dependence: a meta-analytic review. Clin Psychol Rev 31:328–341
Skidmore CR, Kaufman EA, Crowell SE (2016) Substance use among college students. Child Adolesc Psychiatr Clin N Am 25:735–753. https://doi.org/10.1016/j.chc.2016.06.004
Byrne M, Dicke S, Ryan L, Dockray S, Davoren M, Heavin C, Ivers JH, Linehan C, Vasiliou V (nd) Drug use in higher education in Ireland survey. Retrieved August 9, 2022. http://www.duhei.ie/
Kasperski SJ, Vincent KB, Caldeira KM et al (2011) College students’ use of cocaine: results from a longitudinal study. Addict Behav 36:408. https://doi.org/10.1016/j.addbeh.2010.12.002
Schneider KE, Krawczyk N, Xuan Z, Johnson RM (2018) Past 15-year trends in lifetime cocaine use among US high school students. Drug Alcohol Depend 183:69–72. https://doi.org/10.1016/j.drugalcdep.2017.10.028
Low KG, Gendaszek AE (2002) Illicit use of psychostimulants among college students: a preliminary study. Psychol Health Med 7:283–287. https://doi.org/10.1080/13548500220139386
Chamberlain SR, Lust K, Grant JE (2021) Cocaine use in university students: relationships with demographics, mental health, risky sexual practices, and trait impulsivity. CNS Spectr 26:501–508. https://doi.org/10.1017/S1092852920001492
Shrier I, Platt RW (2008) Reducing bias through directed acyclic graphs. BMC Med Res Methodol 8:70
Chatterji P (2006) Illicit drug use and educational attainment. Health Econ 15:489–511. https://doi.org/10.1002/hec.1085
Harder VS, Chilcoat HD (2007) Cocaine use and educational achievement: understanding a changing association over the past 2 decades. Am J Public Health 97:1790–1793. https://doi.org/10.2105/AJPH.2006.091108
Jeynes WH (2002) The relationship between the consumption of various drugs by adolescents and their academic achievement. Am J Drug Alcohol Abuse 28:15–35. https://doi.org/10.1081/ada-120001279
Wong SS, Zhou B, Goebert D, Hishinuma ES (2013) The risk of adolescent suicide across patterns of drug use: a nationally representative study of high school students in the United States from 1999 to 2009. Soc Psychiatry Psychiatr Epidemiol 48:1611–1620. https://doi.org/10.1007/s00127-013-0721-z
Oliva F, Mangiapane C, Nibbio G et al (2021) Prevalence of cocaine use and cocaine use disorder among adult patients with attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. J Psychiatr Res 143:587–598. https://doi.org/10.1016/j.jpsychires.2020.11.021
Gudjonsson GH, Sigurdsson JF, Sigfusdottir ID, Young S (2012) An epidemiological study of ADHD symptoms among young persons and the relationship with cigarette smoking, alcohol consumption and illicit drug use. J Child Psychol Psychiatry 53:304–312
Moggi F, Schorno D, Soravia LM et al (2020) Screened attention deficit/hyperactivity disorder as a predictor of substance use initiation and escalation in early adulthood and the role of self-reported conduct disorder and sensation seeking: a 5-year longitudinal study with young adult swiss men. Eur Addict Res 26:233–244
Pingault J-B, Côté SM, Galéra C et al (2013) Childhood trajectories of inattention, hyperactivity and oppositional behaviors and prediction of substance abuse/dependence: a 15-year longitudinal population-based study. Mol Psychiatry 18:806–812
Glass K, Flory K (2012) Are symptoms of ADHD related to substance use among college students? Psychol Addict Behav 26:124–132
Van Eck K, Markle RS, Flory K (2012) Do conduct problems and sensation seeking moderate the association between ADHD and three types of stimulant use in a college population? Psychol Addict Behav 26:939–947. https://doi.org/10.1037/a0027431
Arias AJ, Gelernter J, Chan G et al (2008) Correlates of co-occurring ADHD in drug-dependent subjects: prevalence and features of substance dependence and psychiatric disorders. Addict Behav 33:1199–1207
Ballon N, Brunault P, Cortese S (2015) Sensation seeking and cocaine dependence in adults with reported childhood ADHD. J Atten Disord 19:335–342. https://doi.org/10.1177/1087054714543651
Dunne EM, Hearn LE, Rose JJ, Latimer WW (2014) ADHD as a risk factor for early onset and heightened adult problem severity of illicit substance use: an accelerated gateway model. Addict Behav 39:1755–1758
Falck RS, Carlson RG, Wang J, Siegal HA (2006) Psychiatric disorders and their correlates among young adult MDMA users in Ohio. J Psychoactive Drugs 38:19–29
Gordon SM, Tulak F, Troncale J (2004) Prevalence and characteristics of adolescent patients with co-occurring ADHD and substance dependence. J Addict Dis 23:31–40
Martínez-Luna N, Daigre C, Palma-Álvarez F et al (2021) Psychiatric comorbidity and addiction severity differences in patients with ADHD seeking treatment for cannabis or cocaine use disorders. J Atten Disord 25:978–988
Schubiner H, Tzelepis A, Milberger S et al (2000) Prevalence of attention-deficit/hyperactivity disorder and conduct disorder among substance abusers. J Clin Psychiatry 61:244–251
Vogel T, Dom G, van de Glind G et al (2016) Is attention deficit/hyperactivity disorder among men associated with initiation or escalation of substance use at 15-month follow-up? A longitudinal study involving young Swiss men: ADHD and substance use. Addiction 111:1867–1878
Galéra C, Pingault J-B, Fombonne E et al (2013) Attention problems in childhood and adult substance use. J Pediatr 163:1677-1683.e1
Lambert NM, Hartsough CS (1998) Prospective study of tobacco smoking and substance dependencies among samples of ADHD and non-ADHD participants. J Learn Disabil 31:533–544
Szobot CM, Rohde LA, Bukstein O et al (2007) Is attention-deficit/hyperactivity disorder associated with illicit substance use disorders in male adolescents? A community-based case-control study. Addiction 102:1122–1130
Dauphin L (2015) L’état de l’enseignement supérieur et de la recherche en France: 49 indicateurs. Ministère de l’enseignement supérieur et de la recherche, Sous-direction des systèmes d’information et études statistiques, Paris
Caci H, Bayle FJ, Bouchez J (2008) Adult ADHD: translation and factor analysis of the ASRS-1.1. Eur Psychiatry 23:S367–S368
Kessler RC, Adler L, Ames M et al (2005) The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med 35:245–256
Kessler RC, Adler L, Gruber MJ et al (2007) Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members. Int J Methods Psychiatr Res 16:52–65
van de Glind G, van den Brink W, Koeter MWJ et al (2013) Validity of the adult ADHD self-report scale (ASRS) as a screener for adult ADHD in treatment seeking substance use disorder patients. Drug Alcohol Depend 132:587–596
Green JG, DeYoung G, Wogan ME et al (2018) Evidence for the reliability and preliminary validity of the adult ADHD self-report scale v1.1 (ASRS v1.1) Screener in an adolescent community sample. Int J Methods Psychiatr Res 28:e1751
Gray S, Woltering S, Mawjee K, Tannock R (2014) The Adult ADHD Self-Report Scale (ASRS): Utility in college students with attention-deficit/hyperactivity disorder. PeerJ 2:e324
Kiatrungrit K, Putthisri S, Hongsanguansri S et al (2017) Validity and reliability of adult ADHD self-report scale thai version (ASRS-V1.1 TH). Shanghai Arch Psychiatry 29:218–227
Cohen S, Kamarck T, Mermelstein R (1983) A global measure of perceived stress. J Health Soc Behav 24:385–396
Lesage F-X, Berjot S, Deschamps F (2012) Psychometric properties of the French versions of the perceived stress scale. Int J Occup Med Environ Health 25:178–184
Tibshirani R (1996) Regression shrinkage and selection via the lasso. J Royal Statist Soc Ser B 58:267–288
Pearl J (1995) Causal diagrams for empirical research. Biometrika 82:669–688
Greenland S, Pearl J, Robins JM (1999) Causal diagrams for epidemiologic research. Epidemiology 10:37-48X
Greenland S (2003) Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology 14:300–306
Lewis M, Kuerbis A (2016) An overview of causal directed acyclic graphs for substance abuse researchers. J Drug Alcohol Res 5:1–8
Deville J-C, Särndal C-E, Sautory O (1993) Generalized raking procedures in survey sampling. J Am Statist Assoc 88:1013–1020
Deville J-C, Särndal C-E (1992) Calibration estimators in survey sampling. J Am Statist Assoc 87:376–382
ONVE O national de la vie étudiante (2017) Enquête nationale conditions de vie des étudiant-e-s 2016: données sociodémographiques et académiques
Azur MJ, Stuart EA, Frangakis C, Leaf PJ (2011) Multiple imputation by chained equations: what is it and how does it work?: Multiple imputation by chained equations. Int J Methods Psychiatr Res 20:40–49
van Buuren S, Groothuis-Oudshoorn K (2011) Mice: multivariate imputation by chained equations in R. J Statist Softw 45:1–67
van Buuren S, Groothuis-Oudshoorn K (2021) Mice: multivariate imputation by chained equations [Manual]. https://CRAN.R-project.org/package=mice
R Core Team (2021) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Ripley B (2021) nnet: Feed-forward neural networks and multinomial log-linear models [Manual]. https://www.stats.ox.ac.uk/pub/MASS4/
Friedman J, Hastie T, Tibshirani R (2010) Regularization paths for generalized linear models via coordinate descent. J Stat Softw 33:1–22
Friedman J, Hastie T, Tibshirani R, Narasimhan B, Tay K, Simon N (2021) glmnet: Lasso and elastic-net regularized generalized linear models [Manual]. https://CRAN.R-project.org/package=glmnet
Antoine Rebecq. (2019) icarus: Calibrates and reweights units in samples [Manual]. https://CRAN.R-project.org/package=icarus
Canty A, Ripley B (2021) boot: Bootstrap functions (originally by angelo canty for s) [Manual]. https://CRAN.R-project.org/package=boot
Wickham H (2016) Ggplot2: Elegant graphics for data analysis. Springer-Verlag, New York
Wickham H, Chang W, Henry L, et al (2020) Ggplot2: create elegant data visualisations using the grammar of graphics
Allaire J, Xie Y, McPherson J, et al (2021) Rmarkdown: dynamic documents for r
Xie Y (2021) Knitr: a general-purpose package for dynamic report generation in r
Bache SM, Wickham H (2020) Magrittr: a forward-pipe operator for r
Wickham H, François R, Henry L, Müller K (2021) Dplyr: a grammar of data manipulation
Wickham H (2021) Tidyr: tidy messy data
Ooi H, de Vries A, Microsoft (2021) Checkpoint: install packages from snapshots on the checkpoint server for reproducibility
Hintze JL, Nelson RD (1998) Violin plots: a box plot-density trace synergism. Am Stat 52:181–184
Carey CE, Agrawal A, Bucholz KK et al (2016) Associations between polygenic risk for psychiatric disorders and substance involvement. Front Genet. https://doi.org/10.3389/fgene.2016.00149
Sanchez-Roige S, Fontanillas P, Elson SL et al (2019) Genome-wide association studies of impulsive personality traits (BIS-11 and UPPSP) and drug experimentation in up to 22,861 adult research participants identify loci in the CACNA1I and CADM2 genes. J Neurosci. https://doi.org/10.1523/JNEUROSCI.2662-18.2019
Cox J, Sherva R, Wetherill L et al (2021) Genome-wide association study of stimulant dependence. Transl Psychiatry 11:363. https://doi.org/10.1038/s41398-021-01440-5
Cabana-Domínguez J, Shivalikanjli A, Fernàndez-Castillo N, Cormand B (2019) Genome-wide association meta-analysis of cocaine dependence: shared genetics with comorbid conditions. Prog Neuropsychopharmacol Biol Psychiatry 94:109667. https://doi.org/10.1016/j.pnpbp.2019.109667
Kooij JJS, Bijlenga D, Salerno L et al (2019) Updated European consensus statement on diagnosis and treatment of adult ADHD. Eur Psychiatry 56:14–34. https://doi.org/10.1016/j.eurpsy.2018.11.001
Faraone SV (2018) The pharmacology of amphetamine and methylphenidate: relevance to the neurobiology of attention-deficit/hyperactivity disorder and other psychiatric comorbidities. Neurosci Biobehav Rev 87:255–270. https://doi.org/10.1016/j.neubiorev.2018.02.001
Roque Bravo R, Faria AC, Brito-da-Costa AM et al (2022) Cocaine: an updated overview on chemistry, detection, biokinetics, and pharmacotoxicological aspects including abuse pattern. Toxins 14:278. https://doi.org/10.3390/toxins14040278
White SR, Obradovic T, Imel KM, Wheaton MJ (1996) The effects of methylenedioxymethamphetamine (MDMA, “Ecstasy”) on monoaminergic neurotransmission in the central nervous system. Prog Neurobiol 49:455–479. https://doi.org/10.1016/0301-0082(96)00027-
Docherty JR, Alsufyani HA (2021) Pharmacology of drugs used as stimulants. J Clin Pharmacol 61(Suppl 2):S53–S69. https://doi.org/10.1002/jcph.1918
Mariani JJ, Khantzian EJ, Levin FR (2014) The self-medication hypothesis and psychostimulant treatment of cocaine dependence: an update. Am J Addict 23:189–193. https://doi.org/10.1111/j.1521-0391.2013.12086.x
Peterkin AL, Crone CC, Sheridan MJ, Wise TN (2011) Cognitive performance enhancement: misuse or self-treatment? J Atten Disord 15:263–268. https://doi.org/10.1177/1087054710365980
Manni C, Cipollone G, Pallucchini A et al (2019) Remarkable reduction of cocaine use in dual disorder (adult attention deficit hyperactive disorder/cocaine use disorder) patients treated with medications for ADHD. Int J Environ Res Public Health 16:3911. https://doi.org/10.3390/ijerph16203911
Willcutt EG, Doyle AE, Nigg JT et al (2005) Validity of the executive function theory of attention-deficit/hyperactivity disorder: a meta-analytic review. Biol Psychiatry 57:1336–1346
Roberts W, Peters JR, Adams ZW et al (2014) Identifying the facets of impulsivity that explain the relation between ADHD symptoms and substance use in a nonclinical sample. Addict Behav 39:1272–1277
Leijdesdorff S, van Doesum K, Popma A et al (2017) Prevalence of psychopathology in children of parents with mental illness and/or addiction: an up to date narrative review. Curr Opin Psychiatry 30:312–317. https://doi.org/10.1097/YCO.0000000000000341
Claussen AH, Holbrook JR, Hutchins HJ et al (2022) All in the family? a systematic review and meta-analysis of parenting and family environment as risk factors for attention-deficit/hyperactivity disorder (ADHD) in children. Prev Sci. https://doi.org/10.1007/s11121-022-01358-4
Robinson LR, Bitsko RH, O’Masta B et al (2022) A systematic review and meta-analysis of parental depression, antidepressant usage, antisocial personality disorder, and stress and anxiety as risk factors for attention-deficit/hyperactivity disorder (ADHD) in children. Prev Res. https://doi.org/10.1007/s11121-022-01383-3
Kousgaard SJ, Boldsen SK, Mohr-Jensen C, Lauritsen MB (2018) The effect of having a child with ADHD or ASD on family separation. Soc Psychiatry Psychiatr Epidemiol 53:1391–1399. https://doi.org/10.1007/s00127-018-1585-z
Raman SR, Man KKC, Bahmanyar S et al (2018) Trends in attention-deficit hyperactivity disorder medication use: a retrospective observational study using population-based databases. Lancet Psychiatry 5:824–835. https://doi.org/10.1016/S2215-0366(18)30293-1
Actualité-Méthylphénidate: données d’utilisation et de sécurité d’emploi en France-ANSM
Kast KA, Rao V, Wilens TE (2021) Pharmacotherapy for attention-deficit/hyperactivity disorder and retention in outpatient substance use disorder treatment: a retrospective cohort study. J Clin Psychiatry 82:2013598
World Health Organization Regional Office for (1998) Therapeutic patient education: continuing education programmes for health care providers in the field of prevention of chronic diseases: report of a WHO working group
Acknowledgements
We thank the participants for their commitment to this project. The authors are grateful to the i-Share staff for their assistance in data collection and the administration of the project.
Funding
The preparation and initiation of the i-Share project was funded by the program ‘Invest for future’ (reference ANR-10-COHO-05). The i-Share project is currently supported by an unrestricted grant from the Nouvelle-Aquitaine Regional Council (Conseil Régional Nouvelle-Aquitaine) (grant N° 4370420) and by the Bordeaux ‘Initiatives d’excellence’ (IdEx) program of the University of Bordeaux (ANR-10-IDEX-03–02). It has also received grants from the Nouvelle-Aquitaine Regional Health Agency (Agence Régionale de Santé Nouvelle-Aquitaine), Public Health France (Santé publique France), the National Cancer Institute (Insitut national du cancer), and the Medical Research Foundation (Fondation pour la recherche). The funding bodies were involved neither in the study design nor in the collection, analysis or interpretation of the data.
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IM and MM were involved in data collection. FAMJ, CG, LC were involved in data analysis. FAMJ and CG interpreted the data. FAMJ, FM, and CG wrote the first draft of the manuscript, and all authors contributed substantially to its revision. All authors have approved and contributed to the final manuscript.
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Jean, F.A.M., Moulin, F., Schwartz, A.N. et al. Association between ADHD symptoms and illicit stimulants use following 1 year among French university students of the i-Share cohort. Soc Psychiatry Psychiatr Epidemiol 59, 887–897 (2024). https://doi.org/10.1007/s00127-023-02499-9
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DOI: https://doi.org/10.1007/s00127-023-02499-9