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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Drug Alcohol Depend. 2019 Sep 12;204:107468. doi: 10.1016/j.drugalcdep.2019.05.008

Table 4.

12-month prevalence of meeting individual DSM-IV diagnostic criteria for cannabis use disorders among past-year adult cannabis users (N=145,5001)

DSM-IV criteria for cannabis use disorders 12-month prevalence, weighted percentage (95% confidence interval) Examined all 16 years of data during 2002–2017: β coefficents, p values for the overall trends
2002 2017
Dependence Criteria
Spending a lot of time 28.4 (26.90–29.97) 24.8+ (23.64–25.97) β= −0.0084; p<0.0001**
Using more than intended 5.5 (4.77–6.31) 4.0 + (3.53–4.44) β= −0.0241; p<0.0001**
Tolerance 17.6 (16.38–18.79) 18.8 (17.81–19.79) β= 0.0033; p=0.1057
Unable to cut down or stop 5.4 (4.57–6.36) 3.3+ (2.89–3.76) β= −0.0337; p<0.0001**
Continued use despite mental or physical harm 6.1 (5.25–7.07) 4.3+ (3.82–4.82) β= −0.0353; p<0.0001**
Neglecting activities 7.1 (6.28–8.00) 4.9+ (4.35–5.47) β= −0.0378; p<0.0001**
Abuse Criteria
Role impairment 5.0 (4.20–5.89) 2.4+ (2.09–2.84) β= −0.0471; p<0.0001**
Hazardous use 5.1 (4.45–5.84) 2.5+ (2.13–2.95) β= −0.0572; p<0.0001**
Legal problems 2.0 (1.52–2.59) 1.2+ (0.95–1.47) β= −0.0436; p<0.0001**
Continued use despite social problems 3.7 (3.04–4.52) 2.2+ (1.92–2.61) β= −0.0384; p<0.0001**

Notes:

1

Data source: Substance Abuse and Mental Health Services Administration’s the 2002–2017 National Surveys on Drug Use and Health (NSDUH) data. Weighted prevalence estimates are reported. SAMHSA requires that any description of overall sample sizes based on the restricted-use NSDUH data files be rounded to the nearest 100 to minimize potential disclosure risk. +Difference between the estimate in which the footnote symbol appears and the 2002 estimate (the reference year) is statistically significant at the .05 level. Bivariable logistic regression models were applied for testing differences in percentage estimates above.

**

These trends were statistically significant even after a Bonferroni correction (Since we tested a total of 10 hypotheses for the overall trends with a desired α = 0.05, the Bonferroni correction would test each individual hypothesis at α = 0.05/10 = 0.005).