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Research Articles

Nonmedical prescription drug use among female adolescents: the relative influence of maternal factors, social norms, and perceptions of risk and availability

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Pages 334-343 | Received 12 May 2021, Accepted 07 Jan 2022, Published online: 25 Jan 2022

References

  • Ali, M. M., Dean, D., Jr, Lipari, R., Dowd, W. N., Aldridge, A. P., & Novak, S. P. (2015). The mental health consequences of nonmedical prescription drug use among adolescents. The Journal of Mental Health Policy and Economics, 18(1), 3–15.
  • American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders. (5th ed.). American Psychiatric Publishing.
  • Aron, A., Aron, E. N., & Smollan, D. (1992). Inclusion of other in the self scale and the structure of interpersonal closeness. Journal of Personality and Social Psychology, 63(4), 596–612. https://doi.org/10.1037/0022-3514.63.4.596
  • Bagley, S. M., Gai, M. J., Earlywine, J. J., Schoenberger, S. F., Hadland, S. E., & Barocas, J. A. (2020). Incidence and characteristics of nonfatal opioid overdose among youths aged 11 to 24 years by sex. JAMA Network Open, 3(12), e2030201. https://doi.org/10.1001/jamanetworkopen.2020.30201
  • Barman-Adhikari, A., Al Tayyib, A., Begun, S., Bowen, E., & Rice, E. (2017). Descriptive and injunctive network norms associated with nonmedical use of prescription drugs among homeless youth. Addictive Behaviors, 64, 70–77. https://doi.org/10.1016/j.addbeh.2016.08.015
  • Barnes, H. L., Olson, D. H., et al. (1982). Parent-adolescent communication scale. In D. H. Olson,. (Eds.), Family inventories: Inventories used in a national survey of families across the family life cycle. (pp. 33–48). Family Social Science, University of Minnesota.
  • Barnett, T. E., Thompson, E. L., Litt, D. M., & Lewis, M. A. (2019). Correlates of nonmedical prescription opioid use among US adolescents. American Journal of Preventive Medicine, 57(5), e175–e179. https://doi.org/10.1016/j.amepre.2019.05.006
  • Bartoń, K. (2020). MuMIn: Multi-Model Inference (Version 1.43.17). https://CRAN.R-project.org/package=MuMIn
  • Bonar, E. E., Coughlin, L., Roche, J. S., Philyaw-Kotov, M. L., Bixler, E. A., Sinelnikov, S., Kolosh, A., Cihak, M. J., Cunningham, R. M., & Walton, M. A. (2020). Prescription opioid misuse among adolescents and emerging adults in the United States: A scoping review. Preventive Medicine, 132, 105972. https://doi.org/10.1016/j.ypmed.2019.105972
  • Buller, D. B., Pagoto, S., Baker, K., Walkosz, B. J., Hillhouse, J., Henry, K. L., Berteletti, J., & Bibeau, J. (2021). Results of a social media campaign to prevent indoor tanning by teens: A randomized controlled trial. Preventive Medicine Reports, 22, 101382. https://doi.org/10.1016/j.pmedr.2021.101382
  • Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research, 33(2), 261–304. https://doi.org/10.1177/0049124104268644
  • Carrasco-Garrido, P., Jiménez-Trujillo, I., Hernández-Barrera, V., Alonso-Fernández, N., García-Gómez-Heras, S., & Palacios-Ceña, D. (2019). Gender differences in the nonmedical use of psychoactive medications in the school population-national trends and related factors. BMC Pediatrics, 19(1), 1–9. https://doi.org/10.1186/s12887-019-1728-8
  • Carver, H., Elliott, L., Kennedy, C., & Hanley, J. (2017). Parent–child connectedness and communication in relation to alcohol, tobacco and drug use in adolescence: An integrative review of the literature. Drugs: Education, Prevention and Policy, 24(2), 119–133. https://doi.org/10.1080/09687637.2016.1221060
  • Center for Behavioral Health Statistics and Quality. (2018). 2019 National Survey on Drug Use and Health (NSDUH): Final CAI Specifications for Programming (English Version). Substance Abuse and Mental Health Services Administration.
  • Chen, L. Y., Perlmutter, A. S., Segura, L., Santaella-Tenorio, J., Schleimer, J. P., Mendez, M., Ghandour, L., Cerdá, M., & Martins, S. S. (2018). Nonmedical prescription drug use in adolescents and young adults. In T. S. Schepis (Ed.), The prescription drug abuse epidemic: Incidence, treatment, prevention, and policy. (pp. 83–114). ABC-CLIO, LLC.
  • Collins, D., Abadi, M. H., Johnson, K., Shamblen, S., & Thompson, K. (2011). Non-medical use of prescription drugs among youth in an Appalachian population: Prevalence, predictors, and implications for prevention. Journal of Drug Education, 41(3), 309–326. https://doi.org/10.2190/DE.41.3.e
  • Compton, W. M., Jones, C. M., Baldwin, G. T., Harding, F. M., Blanco, C., & Wargo, E. M. (2019). Targeting youth to prevent later substance use disorder: An underutilized response to the US opioid crisis. American Journal of Public Health, 109(S3), S185–S189. https://doi.org/10.2105/AJPH.2019.305020
  • DiBello, A. M., Miller, M. B., Merrill, J. E., & Carey, K. B. (2020). A test of the theory of planned behavior in the prediction of alcohol‐induced blackout intention and frequency. Alcoholism: Clinical and Experimental Research, 44(1), 225–232. https://doi.org/10.1111/acer.14232
  • Donaldson, C. D., Nakawaki, B., & Crano, W. D. (2015). Variations in parental monitoring and predictions of adolescent prescription opioid and stimulant misuse. Addictive Behaviors, 45, 14–21. https://doi.org/10.1016/j.addbeh.2015.01.022
  • Egan, K. L., Gregory, E., Osborne, V. L., & Cottler, L. B. (2019). Power of the peer and parent: Gender differences, norms, and nonmedical prescription opioid use among adolescents in south central Kentucky. Prevention Science, 20(5), 665–673. https://doi.org/10.1007/s11121-019-0982-1
  • Fairbairn, C. E., Briley, D. A., Kang, D., Fraley, R. C., Hankin, B. L., & Ariss, T. (2018). A meta-analysis of longitudinal associations between substance use and interpersonal attachment security. Psychological Bulletin, 144(5), 532–555. https://doi.org/10.1037/bul0000141
  • Faraone, S. V., Rostain, A. L., Montano, C. B., Mason, O., Antshel, K. M., & Newcorn, J. H. (2020). Systematic review: Nonmedical use of prescription stimulants: Risk factors, outcomes, and risk Reduction Strategies. Journal of the American Academy of Child and Adolescent Psychiatry, 59(1), 100–112. https://doi.org/10.1016/j.jaac.2019.06.012
  • Ford, J. A. (2008). Social learning theory and nonmedical prescription drug use among adolescents. Sociological Spectrum, 28(3), 299–316. https://doi.org/10.1080/02732170801898471
  • Ford, J. A. (2009). Nonmedical prescription drug use among adolescents: The influence of bonds to family and school. Youth & Society, 40(3), 336–352. https://doi.org/10.1177/0044118X08316345
  • Ford, J. A. (2019). Prescription opioid misuse among adolescents. Pediatric Clinics of North America, 66(6), 1099–1108. https://doi.org/10.1016/j.pcl.2019.08.005
  • Ford, J. A., Reckdenwald, A., & Marquardt, B. (2014). Prescription drug misuse and gender. Substance Use & Misuse, 49(7), 842–851. https://doi.org/10.3109/10826084.2014.880723
  • Ford, J. A., Sacra, S. A., & Yohros, A. (2017). Neighborhood characteristics and prescription drug misuse among adolescents: The importance of social disorganization and social capital. The International Journal on Drug Policy, 46, 47–53. https://doi.org/10.1016/j.drugpo.2017.05.001
  • Foulkes, L., & Blakemore, S. J. (2018). Studying individual differences in human adolescent brain development. Nature Neuroscience, 21(3), 315–323. https://doi.org/10.1038/s41593-018-0078-4
  • Friedman, J., Hastie, T., & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1), 1–22.
  • Galipaud, M., Gillingham, M. A., & Dechaume‐Moncharmont, F. X. (2017). A farewell to the sum of Akaike weights: The benefits of alternative metrics for variable importance estimations in model selection. Methods in Ecology and Evolution, 8(12), 1668–1678. https://doi.org/10.1111/2041-210X.12835
  • Giam, X., & Olden, J. D. (2016). Quantifying variable importance in a multimodel inference framework. Methods in Ecology and Evolution, 7(4), 388–397. https://doi.org/10.1111/2041-210X.12492
  • Griesler, P. C., Hu, M. C., Wall, M. M., & Kandel, D. B. (2019). Nonmedical prescription opioid use by parents and adolescents in the US. Pediatrics, 143(3), e20182354. https://doi.org/10.1542/peds.2018-2354
  • Griesler, P. C., Hu, M. C., Wall, M. M., & Kandel, D. B. (2021). Assessment of prescription opioid medical use and misuse among parents and their adolescent offspring in the US. JAMA Network Open, 4(1), e2031073. https://doi.org/10.1001/jamanetworkopen.2020.31073
  • Groenewald, C. B., Patel, K. V., Rabbitts, J. A., & Palermo, T. M. (2020). Correlates and motivations of prescription opioid use among adolescents 12 to 17 years of age in the United States. Pain, 161(4), 742–748. https://doi.org/10.1097/j.pain.0000000000001775
  • Guarino, H., Mateu-Gelabert, P., Teubl, J., & Goodbody, E. (2018). Young adults' opioid use trajectories: From nonmedical prescription opioid use to heroin, drug injection, drug treatment and overdose. Addictive Behaviors, 86, 118–123. https://doi.org/10.1016/j.addbeh.2018.04.017
  • Holtrop, K., Ewing, E. S. K., Topham, G. L., & Miller, D. L. (2020). Prevention of parent‐child relational problems: The role of parenting interventions. In K. S. Wampler & L. M. McWey (Eds.), The Handbook of Systemic Family Therapy: Volume 2. (pp. 55–86). John Wiley & Sons Ltd.
  • Johnston, L. D., Miech, R. A., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2021). Monitoring the Future national survey results on drug use 1975-2020: Overview, key findings on adolescent drug use. Institute for Social Research, University of Michigan.
  • Kelley-Quon, L. I., Cho, J., Strong, D. R., Miech, R. A., Barrington-Trimis, J. L., Kechter, A., & Leventhal, A. M. (2019). Association of nonmedical prescription opioid use with subsequent heroin use initiation in adolescents. JAMA Pediatrics, 173(9), e191750. https://doi.org/10.1001/jamapediatrics.2019.1750
  • Kobak, R., Zajac, K., Herres, J., & Krauthamer Ewing, E. S. (2015). Attachment based treatments for adolescents: The secure cycle as a framework for assessment, treatment and evaluation. Attachment & Human Development, 17(2), 220–239. https://doi.org/10.1080/14616734.2015.1006388
  • Kuhn, M., & Johnson, K. (2013). Applied predictive modeling. Springer.
  • Kuramoto, S. J., Chilcoat, H. D., Ko, J., & Martins, S. S. (2012). Suicidal ideation and suicide attempt across stages of nonmedical prescription opioid use and presence of prescription opioid disorders among US adults. Journal of Studies on Alcohol and Drugs, 73(2), 178–184. https://doi.org/10.15288/jsad.2012.73.178
  • Lisdahl, K. M., Sher, K. J., Conway, K. P., Gonzalez, R., Ewing, S. W. F., Nixon, S. J., Tapert, S., Bartsch, H., Goldstein, R. Z., & Heitzeg, M. (2018). Adolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods. Developmental Cognitive Neuroscience, 32, 80–96. https://doi.org/10.1016/j.dcn.2018.02.007
  • Marschall-Lévesque, S., Castellanos-Ryan, N., Vitaro, F., & Séguin, J. R. (2014). Moderators of the association between peer and target adolescent substance use. Addictive Behaviors, 39(1), 48–70. https://doi.org/10.1016/j.addbeh.2013.09.025
  • Martins, S. S., & Ghandour, L. A. (2017). Nonmedical use of prescription drugs in adolescents and young adults: Not just a western phenomenon. World Psychiatry, 16(1), 102–104. https://doi.org/10.1002/wps.20350
  • McCabe, S. E., Veliz, P. T., Boyd, C. J., Schepis, T. S., McCabe, V. V., & Schulenberg, J. E. (2019). A prospective study of nonmedical use of prescription opioids during adolescence and subsequent substance use disorder symptoms in early midlife. Drug and Alcohol Dependence, 194, 377–385. https://doi.org/10.1016/j.drugalcdep.2018.10.027
  • McCabe, S. E., Veliz, P., Wilens, T. E., West, B. T., Schepis, T. S., Ford, J. A., Pomykacz, C., & Boyd, C. J. (2019). Sources of nonmedical prescription drug misuse among US high school seniors: Differences in motives and substance use behaviors. Journal of the American Academy of Child and Adolescent Psychiatry, 58(7), 681–691. https://doi.org/10.1016/j.jaac.2018.11.018
  • McHugh, R. K. (2020). The importance of studying sex and gender differences in opioid misuse. JAMA Network Open, 3(12), e2030676. https://doi.org/10.1001/jamanetworkopen.2020.30676
  • McLaughlin, A., Campbell, A., & McColgan, M. (2016). Adolescent substance use in the context of the family: A qualitative study of young people's views on parent-child attachments, parenting style and parental substance use. Substance Use & Misuse, 51(14), 1846–1855. https://doi.org/10.1080/10826084.2016.1197941
  • Miller, D. T., & Prentice, D. A. (2016). Changing norms to change behavior. Annual Review of Psychology, 67, 339–361. https://doi.org/10.1146/annurev-psych-010814-015013
  • Nargiso, J. E., Ballard, E. L., & Skeer, M. R. (2015). A systematic review of risk and protective factors associated with nonmedical use of prescription drugs among youth in the United States: A social ecological perspective. Journal of Studies on Alcohol and Drugs, 76(1), 5–20. https://doi.org/10.15288/jsad.2015.76.5
  • National Institute on Drug Abuse (2020). June). Misuse of prescription drugs research report. https://www.drugabuse.gov/publications/research-reports/misuse-prescription-drugs/overview
  • National Institute on Drug Abuse (2021). March). Prescription drugs. https://teens.drugabuse.gov/drug-facts/prescription-drugs
  • Nguyen, A. P., Glanz, J. M., Narwaney, K. J., & Binswanger, I. A. (2020). Association of opioids prescribed to family members with opioid overdose among adolescents and young adults. JAMA Network Open, 3(3), e201018. https://doi.org/10.1001/jamanetworkopen.2020.1018
  • Osborne, V., Serdarevic, M., Crooke, H., Striley, C., & Cottler, L. B. (2017). Non-medical opioid use in youth: Gender differences in risk factors and prevalence. Addictive Behaviors, 72, 114–119. https://doi.org/10.1016/j.addbeh.2017.03.024
  • Pagoto, S. L., Baker, K., Griffith, J., Oleski, J., Palumbo, A., Walkosz, B. J., Hillhouse, J., Henry, K. L., & Buller, D. B. (2016). Engaging moms on teen indoor tanning through social media: Protocol of a randomized controlled trial. JMIR Research Protocols, 5(4), e228. https://doi.org/10.2196/resprot.6624
  • Park, J. Y., & Wu, L. T. (2020). Sources of misused prescription opioids and their association with prescription opioid use disorder in the united states: Sex and age differences. Substance Use & Misuse, 55(6), 928–936. https://doi.org/10.1080/10826084.2020.1713818
  • Park, N. K., Melander, L., & Sanchez, S. (2016). Nonmedical prescription drug use among midwestern rural adolescents. Journal of Child & Adolescent Substance Abuse, 25(4), 360–369. https://doi.org/10.1080/1067828X.2015.1049392
  • Perlmutter, A. S., Bauman, M., Mantha, S., Segura, L. E., Ghandour, L., & Martins, S. S. (2018). Nonmedical prescription drug use among adolescents: Global epidemiological evidence for prevention, assessment, diagnosis, and treatment. Current Addiction Reports, 5(2), 120–127. https://doi.org/10.1007/s40429-018-0194-y
  • R Core Team (2020). R: A language and environment for statistical computing (Version 4.0.2). R Foundation for Statistical Computing. http://www.R-project.org/
  • Ranstam, J., & Cook, J. (2018). LASSO regression. British Journal of Surgery, 105(10), 1348–1348. https://doi.org/10.1002/bjs.10895
  • Ryan, S. M., Jorm, A. F., & Lubman, D. I. (2010). Parenting factors associated with reduced adolescent alcohol use: A systematic review of longitudinal studies. Australian & New Zealand Journal of Psychiatry, 44(9), 774–783. https://doi.org/10.1080/00048674.2010.501759
  • Schepis, T. S., Wilens, T. E., & McCabe, S. E. (2019). Prescription drug misuse: Sources of controlled medications in adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 58(7), 670–680. https://doi.org/10.1016/j.jaac.2018.09.438
  • Steinmetz, H., Knappstein, M., Ajzen, I., Schmidt, P., & Kabst, R. (2016). How effective are behavior change interventions based on the theory of planned behavior? Zeitschrift Für Psychologie, 224(3), 216–233. https://doi.org/10.1027/2151-2604/a000255
  • Substance Abuse and Mental Health Services Administration (2016). Preventing Prescription Drug Misuse: Programs and Strategies. https://www.edc.org/sites/default/files/uploads/preventing-prescription-drug-misuse-strategies.pdf
  • Substance Abuse and Mental Health Services Administration (2021). Key substance use and mental health indicators in the United States: Results from the 2020 National Survey on Drug Use and Health. https://www.samhsa.gov/data/
  • Symonds, M. R., & Moussalli, A. (2011). A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion. Behavioral Ecology and Sociobiology, 65(1), 13–21. https://doi.org/10.1007/s00265-010-1037-6
  • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 58(1), 267–288. https://doi.org/10.1111/j.2517-6161.1996.tb02080.x
  • Tilson, E. C., Mcbride, C. M., Lipkus, I. M., & Catalano, R. F. (2004). Testing the interaction between parent-child relationship factors and parent smoking to predict youth smoking. The Journal of Adolescent Health, 35(3), 182–189. https://doi.org/10.1016/S1054-139X(03)00532-9
  • Tucker, J. S., Davis, J. P., Seelam, R., Stein, B. D., & D'Amico, E. J. (2020). Predictors of opioid misuse during emerging adulthood: An examination of adolescent individual, family and peer factors. Drug and Alcohol Dependence, 214, 108188. https://doi.org/10.1016/j.drugalcdep.2020.108188
  • Vaughn, M. G., Nelson, E. J., Salas-Wright, C. P., Qian, Z., & Schootman, M. (2016). Racial and ethnic trends and correlates of non-medical use of prescription opioids among adolescents in the United States 2004–2013. Journal of Psychiatric Research, 73, 17–24. https://doi.org/10.1016/j.jpsychires.2015.11.003
  • Voepel-Lewis, T., Boyd, C. J., McCabe, S. E., Zikmund-Fisher, B. J., Malviya, S., Grant, J., Weber, M., & Tait, A. R. (2018). Deliberative prescription opioid misuse among adolescents and emerging adults: Opportunities for targeted interventions. The Journal of Adolescent Health, 63(5), 594–600. https://doi.org/10.1016/j.jadohealth.2018.07.007
  • Wagenmakers, E. J., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin & Review, 11(1), 192–196. https://doi.org/10.3758/bf03206482
  • Young, A. M., Glover, N., & Havens, J. R. (2012). Nonmedical use of prescription medications among adolescents in the United States: A systematic review. The Journal of Adolescent Health, 51(1), 6–17. https://doi.org/10.1016/j.jadohealth.2012.01.011
  • Yuan, M., & Lin, Y. (2006). Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society: Series B, 68(1), 49–67. https://doi.org/10.1111/j.1467-9868.2005.00532.x
  • Zhao, Y., & Long, Q. (2017). Variable selection in the presence of missing data: Imputation‐based methods. Wiley Interdisciplinary Reviews: Computational Statistics, 9(5), e1402. https://doi.org/10.1002/wics.1402

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