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Older marijuana users’ marijuana risk perceptions: associations with marijuana use patterns and marijuana and other substance use disorders

Published online by Cambridge University Press:  10 December 2017

Namkee G. Choi*
Affiliation:
School of Social Work, University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX, 78712, USA
Diana M. DiNitto
Affiliation:
School of Social Work, University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX, 78712, USA
C. Nathan Marti
Affiliation:
School of Social Work, University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX, 78712, USA
*
Correspondence should be addressed to: Namkee G. Choi, PhD, University of Texas at Austin School of Social Work, 1925 San Jacinto Blvd, Austin, TX, 78712, USA. Phone: 512-232-9590. Email: nchoi@austin.utexas.edu.

Abstract

Background:

Compared to their non-using age peers, older marijuana users are known to have lower marijuana risk perceptions. We examined associations of older marijuana users’ risk perceptions with their marijuana use patterns and substance use disorders.

Methods:

Data are from 2013 to 2015 National Survey of Drug Use and Health (N = 24,057 respondents aged 50+ years). Bivariate logistic regression was used to compare risk perceptions among never users, former users, and past-year users aged 50+ years. Multivariable logistic regression was used to test associations between risk perception and marijuana use status and between risk perception and marijuana use patterns.

Results:

Among the total sample, former (AOR = 0.30, 95% CI = 0.27–0.32) and past-year (AOR = 0.05, 95% CI = 0.04–0.06) marijuana users had significantly lower odds of moderate/great risk perception (as opposed to no/slight risk perception) than never users. Among past-year users, odds of moderate/great risk perception were lower among those who used marijuana more frequently (AOR = 0.14, 95% CI = 0.07–0.28 for 300+ days of use compared to 1–11 days of use) and who reported any medical marijuana use (AOR = 0.27, 95% CI = 0.14–0.51). However, those who had marijuana use disorder were 3.5 times more likely to report moderate/great risk perception (AOR = 3.50, 95% CI = 1.62–7.58). Those who had a college education, had higher incomes, and resided in states with medical marijuana laws also had lower risk perceptions.

Conclusions:

Public health education on scientific evidence about marijuana's benefits and harms and age-appropriate treatment for older adults with substance use problems are needed. Research on risk perception formation using longitudinal data among older adults is also needed.

Type
Original Research Article
Copyright
Copyright © International Psychogeriatric Association 2017 

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References

Black, P. and Joseph, L. J. (2014). Still dazed and confused: midlife marijuana use by the baby boom generation. Deviant Behavior, 35, 822841. doi: 10.1080/01639625.2014.889994.Google Scholar
Center for Behavioral Health Statistics and Quality (2016). 2015 National Survey on Drug Use and Health: Methodological Summary and Definitions. Rockville, MD: Substance Abuse and Mental Health Services Administration. Available at https://www.samhsa.gov/data/sites/default/files/NSDUH-MethodSummDefsHTML-2015/NSDUH-MethodSummDefsHTML-2015/NSDUH-MethodSummDefs-2015.pdf.Google Scholar
Choi, N. G., DiNitto, D. M. and Marti, C. N. (2016a). Older-adult marijuana users and ex-users: comparisons of sociodemographic characteristics and mental and substance use disorders. Drug & Alcohol Dependence, 165, 94102. doi: 10.1016/j.drugalcdep.2016.05.023.Google Scholar
Choi, N. G., DiNitto, D. M. and Marti, C. N. (2016b). Risk factors for self-reported driving under the influence of alcohol and/or illicit drugs among older adults. The Gerontologist, 56, 282291. doi: 10.1093/geront/gnu070.Google Scholar
Choi, N. G., Marti, C. N., DiNitto, D. M. and Choi, B. Y. (2017). Older adults’ marijuana use, injuries, and emergency department visits. American Journal of Drug and Alcohol Abuse, 8, 19. doi: 10.1080/00952990.2017.1318891. [Epub ahead of print].Google Scholar
Compton, W. M., Han, B., Jones, C. M., Blanco, C. and Hughes, A. (2016). Marijuana use and use disorders in adults in the USA, 2002–14: analysis of annual cross-sectional surveys. Lancet Psychiatry, 10, 954964. doi: 10.1016/S2215-0366(16)30208-5.Google Scholar
Deshpande, A., Mailis-Gagnon, A., Zoheiry, N. and Lakha, S. F. (2015). Efficacy and adverse effects of medical marijuana for chronic noncancer pain: systematic review of randomized controlled trials. Canadian Family Physician, 61, e372e381.Google Scholar
Fairman, B. J. (2016). Trends in registered medical marijuana participation across 13 US states and district of Columbia. Drug & Alcohol Dependence, 159, 7279. doi: 10.1016/j.drugalcdep.2015.11.015.Google Scholar
Geiger, A. (2016). Support for marijuana legalization continues to rise. Available at http://www.pewresearch.org/fact-tank/2016/10/12/support-for-marijuana-legalization-continues-to-rise/.Google Scholar
Grevenstein, D., Nagy, E. and Kroeninger-Jungaberle, H. (2015). Development of risk perception and substance use of tobacco, alcohol and cannabis among adolescents and emerging adults: evidence of directional influences. Substance Use & Misuse, 50, 376386. doi: 10.3109/10826084.2014.984847.Google Scholar
Han, B. H., Sherman, S., Mauro, P. M., Martins, S. S., Rotenberg, J. and Palamar, J. J. (2017). Demographic trends among older cannabis users in the United States, 2006–13. Addiction, 112, 516525. doi: 10.1111/add.13670.Google Scholar
Hasin, D. S. et al. (2015). Prevalence of marijuana use disorders in the United States between 2001–2002 and 2012–2013. JAMA Psychiatry, 72. 12351242. doi: 10.1001/jamapsychiatry.2015.1858.Google Scholar
Hasin, D. S. et al. (2017). US adult illicit cannabis use, cannabis use disorder, and medical marijuana laws: 1991–1992 to 2012–2013. JAMA Psychiatry, 74, 579588. doi: 10.1001/jamapsychiatry.2017. 0724.Google Scholar
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C. and Fagerstrom, K. O. (1991). The fagerstrom test for nicotine dependence: a revision of the fagerstrom tolerance questionnaire. British Journal of Addiction, 86, 11191127.Google Scholar
Hosmer, D. W., Lemeshow, S. and Sturdivant, R. X. (2013). Applied logistic regression, 3rd edn. Hoboken, NJ: Wiley.Google Scholar
Inter-university Consortium for Political and Social Research (ICPSR) (2016). National survey on drug use and health, 2015. ICPSR50011-v1. On behalf of the United States department of health and human services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality. Available at http://doi.org/10.3886/ICPSR50011.v1.Google Scholar
Lank, P. M. and Crandall, M. L. (2014). Outcomes for older trauma patients in the emergency department screening positive for alcohol, cocaine, or marijuana use. American Journal of Drug and Alcohol Abuse, 40, 118124. doi: 10.3109/00952990.2014.880450.Google Scholar
Lau, N., Sales, P., Averill, S., Murphy, F., Sato, S.-O. and Murphy, S. (2015). Responsible and controlled use: older cannabis users and harm reduction. International Journal of Drug Policy, 26, 709718. doi: 10.1016/j.drugpo.2015.03.008.Google Scholar
Leventhal, A. M. and Schmitz, J. M. (2006). The role of drug use outcome expectancies in substance abuse risk: an interactional-transformational model. Addictive Behaviors, 31, 20382062.Google Scholar
Lopez-Quintero, C. and Neumark, Y. (2010). Effects of risk perception of marijuana use on marijuana use and intentions to use among adolescents in Bogotá, Colombia. Drug & Alcohol Dependence, 109 (1–3), 6572. doi: 10.1016/j.drugalcdep.2009.12.011.Google Scholar
Martins, S. S. et al. (2016). State-level medical marijuana laws, marijuana use and perceived availability of marijuana among the general U.S. population. Drug & Alcohol Dependence, 169, 2632. doi: 10.1016/j.drugalcdep.2016.10.004.Google Scholar
National Academies of Sciences, Engineering, and Medicine (2017). The Health Effects of Cannabis and Cannabinoids: The Current State of Evidence and Recommendations for Research. Washington, DC: The National Academies Press. doi: 10.17226/24625.Google Scholar
Nutt, D. J., King, L. A. and Phillips, L. D. (2010). Drug harms in the UK: a multicriteria decision analysis. Lancet, 376, 15581565. doi: 10.1016/S0140-6736(10)61462-6.Google Scholar
Okaneku, J., Vearrier, D., McKeever, R. G., LaSala, G. S. and Greenberg, M. I. (2015). Change in perceived risk associated with marijuana use in the United States from 2002 to 2012. Clinical Toxicology (Phila), 53, 151155. doi: 10.3109/15563650.2015.1004581.Google Scholar
Pacek, L. R., Mauro, P. M. and Martin, S. S. (2015). Perceived risk of regular cannabis use in the United States from 2002 to 2012: differences by sex, age, and race/ethnicity. Drug & Alcohol Dependence, 149, 232244. doi: 10.1016/j.drugalcdep.2015.02.009.Google Scholar
Salas-Wright, C. P. et al. (2017). Trends and correlates of marijuana use: among late middle-aged and older adults in the United States, 2002–2014. Drug & Alcohol Dependence, 171, 97106. doi: 10.1016/j.drugalcdep.2016.11.031.Google Scholar
Schuermeyer, J. et al. (2014). Temporal trends in marijuana attitudes, availability and use in Colorado compared to non-medical marijuana states: 2003–11. Drug & Alcohol Dependence, 140, 145155. doi: 10.1016/j.drugalcdep.2014.04.016.Google Scholar
Swift, A. (October 2016). Support for legal marijuana use up to 60% in U.S. Available at http://www.gallup.com/poll/196550/support-legal-marijuana.aspx.Google Scholar
van den Elsen, G. A. et al. (2014). Efficacy and safety of medical cannabinoids in older subjects: a systematic review. Ageing Research Reviews, 14, 5664. doi: 10.1016/j.arr.2014.01.007.Google Scholar
Wen, H., Hockenberry, J. M. and Cummings, J. R. (2015). The effect of medical marijuana laws on adolescent and adult use of marijuana, alcohol, and other substances. Journal of Health Economics, 42, 6480. doi: 10.1016/j.jhealeco.2015.03.007.Google Scholar
Wilkinson, S. T., van Schalkwyk, G. I., Davidson, L. and D'Souza, D. C. (2016). The formation of marijuana risk perception in a population of substance abusing patients. Psychiatric Quarterly, 87, 177187. doi: 10.1007/s11126-015-9369-z.Google Scholar