Afghari, A. P., Washington, S., Prato, C., & Haque, M. M. (2019). Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models. Analytic Methods In Accident Research, 24(100104), 1–19. https://doi.org/10.1016/j.amar.2019.100104
Agrawal, A., & Lynskey, M. T. (2007). Does gender contribute to heterogeneity in criteria for cannabis abuse and dependence? Results from the national epidemiological survey on alcohol and related conditions. Drug and Alcohol Dependence, 88(2-3), 300–307. https://doi.org/10.1016/j.drugalcdep.2006.10.003
Altman, D. G. (2014). Categorizing continuous variables. Encyclopedia of Biostatistics, 1, 563–567. https://doi.org/10.1002/9781118445112.stat04857
American Psychiatric Association. (2022). Substance-related and addictive disorders. In Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9781585624836.jb16
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
Bartholomay, E. M., Stone, B. M., & Lyons, G. (2021). Depression and social anxiety symptoms explain substance use problems beyond amount/frequency of substance use. Current Psychology, 1-8. https://doi.org/10.1007/s12144-021-01984-1
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
Bjelland, I., Dahl, A. A., Haug, T. T., & Neckelmann, D. (2002). The validity of the hospital anxiety and depression scale: An updated literature review. Journal of Psychosomatic Research, 52(2), 69–77. https://doi.org/10.1016/S0022-3999(01)00296-3
Black, J. J., & Chung, T. (2014). Mechanisms of change in adolescent substance use treatment: How does treatment work? Substance Abuse, 35(4), 344–351. https://doi.org/10.1080/08897077.2014.925029
Boeniger, M. F., Lowry, L. K., & Rosenberg, J. (1993). Interpretation of urine results used to assess chemical exposure with emphasis on creatinine adjustments: A review. American Industrial Hygiene Association Journal, 54(10), 615–627. https://doi.org/10.1080/15298669391355134
Article CAS PubMed Google Scholar
Borodovsky, J. T., Sofis, M. J., Sherman, B. J., Gray, K. M., & Budney, A. J. (2022). Characterizing cannabis use reduction and change in functioning during treatment: Initial steps on the path to new clinical endpoints. Psychology of addictive behaviors, 36(5), 515–525. https://doi.org/10.1037/adb0000817
Article PubMed PubMed Central Google Scholar
Boumparis, N., Loheide-Niesmann, L., Blankers, M., Ebert, D. D., Korf, D., Schaub, M. P., Spijkerman, R., Tait, R. J., & Riper, H. (2019). Short- and long-term effects of digital prevention and treatment interventions for cannabis use reduction: A systematic review and meta-analysis. Drug and Alcohol Dependence, 200, 82–94. https://doi.org/10.1016/j.drugalcdep.2019.03.016
Brabete, A. C., Greaves, L., Hemsing, N., & Stinson, J. (2020). Sex-and gender-based analysis in cannabis treatment outcomes: A systematic review. International Journal of Environmental Research and Public Health, 17(3), 872. https://doi.org/10.3390/ijerph17030872
Article CAS PubMed PubMed Central Google Scholar
Brezing, C. A., Choi, C. J., Pavlicova, M., Brooks, D., Mahony, A. L., Mariani, J. J., & Levin, F. R. (2018). Abstinence and reduced frequency of use are associated with improvements in quality of life among treatment-seekers with cannabis use disorder: Quality of life and cannabis treatment. The American Journal on Addictions, 27(2), 101–107. https://doi.org/10.1111/ajad.12660
Article PubMed PubMed Central Google Scholar
Brodbeck, J., Matter, M., Page, J., & Moggi, F. (2007). Motives for cannabis use as a moderator variable of distress among young adults. Addictive Behaviors, 32(8), 1537–1545. https://doi.org/10.1016/j.addbeh.2006.11.012
Bujarski, S. J., Norberg, M. M., & Copeland, J. (2012). The association between distress tolerance and cannabis use-related problems: The mediating and moderating roles of coping motives and gender. Addictive Behaviors, 37(10), 1181–1184. https://doi.org/10.1016/j.addbeh.2012.05.014
Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge.
Calakos, K. C., Bhatt, S., Foster, D. W., & Cosgrove, K. P. (2017). Mechanisms underlying sex differences in cannabis use. Current Addiction Reports, 4(4), 439–453. https://doi.org/10.1007/s40429-017-0174-7
Article PubMed PubMed Central Google Scholar
Cam, L. L. (1990). Maximum likelihood: An introduction. International Statistical Review / Revue Internationale de Statistique, 58(2), 153–171. https://doi.org/10.2307/1403464
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., Cook, K., DeVellis, R., DeWalt, D., Fries, J. F., Gershon, R., Hahn, E. A., Lai, J.-S., Pilkonis, P., Revicki, D., et al. (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. Journal of Clinical Epidemiology, 63(11), 1179–1194. https://doi.org/10.1016/j.jclinepi.2010.04.011
Article PubMed PubMed Central Google Scholar
Cho, G., Hwang, H., Sarstedt, M., & Ringle, C. M. (2020). Cutoff criteria for overall model fit indexes in generalized structured component analysis. Journal of Marketing Analytics, 8(4), 189–202. https://doi.org/10.1057/s41270-020-00089-1
Cliff, N. (1983). Some cautions concerning the application of causal modeling methods. Multivariate behavioral research, 18(1), 115–126. https://doi.org/10.1207/s15327906mbr1801_7
Article CAS PubMed Google Scholar
Compton, W. M., Han, B., Jones, C. M., & Blanco, C. (2019). Cannabis use disorders among adults in the United States during a time of increasing use of cannabis. Drug and alcohol dependence, 204, 107468. https://doi.org/10.1016/j.drugalcdep.2019.05.008
Article PubMed PubMed Central Google Scholar
Cone, E. J., Caplan, Y. H., Moser, F., Robert, T., Shelby, M. K., & Black, D. L. (2009). Normalization of urinary drug concentrations with specific gravity and creatinine. Journal of Analytical Toxicology, 33(1), 1–7. https://doi.org/10.1093/jat/33.1.1
Article CAS PubMed Google Scholar
Connor, J. P., Stjepanović, D., Le Foll, B., Hoch, E., Budney, A. J., & Hall, W. D. (2021). Cannabis use and cannabis use disorder. Nature Reviews Disease Primers, 7(1), 1–24. https://doi.org/10.1038/s41572-021-00247-4
Copeland, J., Swift, W., Roffman, R., & Stephens, R. (2001). A randomized controlled trial of brief cognitive-behavioral interventions for cannabis use disorder. Journal of Substance Abuse Treatment, 21(2), 55–64. https://doi.org/10.1016/s0740-5472(01)00179-9
Article CAS PubMed Google Scholar
Copersino, M. L., Boyd, S. J., Tashkin, D. P., Huestis, M. A., Heishman, S. J., Dermand, J. C., Simmons, M. S., & Gorelick, D. A. (2010). Sociodemographic characteristics of cannabis smokers and the experience of cannabis withdrawal. The American Journal of Drug and Alcohol Abuse, 36(6), 311–319. https://doi.org/10.3109/00952990.2010.503825
Article PubMed PubMed Central Google Scholar
Cuijpers, P., Reijnders, M., & Huibers, M. J. (2019). The role of common factors in psychotherapy outcomes. Annual review of clinical psychology, 15, 207–231. https://doi.org/10.1146/annurev-clinpsy-050718-095424
Department of Health & Human Services. (2022). 2020 National survey on drug use and health detailed tables. Substance abuse and mental health services administration. Retrieved January 15, 2023, from https://www.samhsa.gov/data/report/2020-nsduh-detailed-tables
Eisinga, R., Grotenhuis, M., & Pelzer, B. (2013). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health, 58(4), 637–642. https://doi.org/10.1007/s00038-012-0416-3
Enkema, M. C., Hallgren, K. A., & Larimer, M. E. (2020). Craving is impermanent and it matters: Investigating craving and cannabis use among young adults with problematic use interested in reducing use. Drug and Alcohol Dependence, 210, 107957. https://doi.org/10.1016/j.drugalcdep.2020.107957
Article PubMed PubMed Central Google Scholar
Fahrmeir, L., & Kaufmann, H. (1985). Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models. The Annals of Statistics, 13(1), 342–368. https://doi.org/10.1214/aos/1176346597
Field, A., Miles, J., & Zoë, F. (2012). Discovering statistics using R (1st ed.). SAGE Publishing.
Franken, I. H. A., Hendriks, V. M., & van den Brink, W. (2013). Obsessive compulsive drug use scale. PsycTESTS Dataset. https://doi.org/10.1037/t18284-000
Fritz, M. S., Taylor, A. B., & MacKinnon, D. P. (2012). Explanation of two anomalous results in statistical mediation analysis. Multivariate Behavioral Research, 47(1), 61–87. https://doi.org/10.1080/00273171.2012.640596
Article PubMed PubMed Central Google Scholar
Grace, J. B., Johnson, D. J., Lefcheck, J. S., & Byrnes, J. E. K. (2018). Quantifying relative importance: computing standardized effects in models with binary outcomes. Ecosphere, 9(6), 35–40. https://doi.org/10.1002/ecs2.2283
Gray, K. (2018). Achieving cannabis cessation-evaluating N-acetylcysteine treatment. US National Library of Medicine https://clinicaltrials.gov/ct2/show/NCT01675661
Gray, K. M., Sonne, S. C., McClure, E. A., Ghitza, U. E., Matthews, A. G., McRae-Clark, A. L., Carroll, K. M., Potter, J. S., Wiest, K., Mooney, L. J., Hasson, A., Walsh, S. L., Lofwall, M. R., Babalonis, S., Lindblad, R. W., Sparenborg, S., Wahle, A., King, J. S., Baker, N. L., et al. (2017). A randomized placebo-controlled trial of N-acetylcysteine for cannabis use disorder in adults. Drug and Alcohol Dependence, 177, 249–257. https://doi.org/10.1016/j.drugalcdep.2017.04.020
Article CAS PubMed PubMed Central Google Scholar
Greenland, S., Schlesselman, J. J., & Criqui, M. H. (1986). The fallacy of employing standardized regression coefficients and correlations as measures of effect. American Journal of Epidemiology, 123(2), 203–208. https://doi.org/10.1093/oxfordjournals.aje.a114229
Comments (0)