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Table 4 Multivariate analysis results of differences of key characteristics of 56,860 patients seeking medical cannabis certification by gender and age, with and without interaction

From: Medical cannabis use in the United States: a retrospective database study

  Model without interaction between age and gender Model with interaction between age and gender
Characteristic Coefficient (95% CI) p-value Coefficient (95% CI) p-value
Smoking Status
 Intercept −0.890 (− 0.961, − 0.820) < 0.001 −1.00 (−1.108, − 0.900) < 0.001
 Age − 0.014 (− 0.016, − 0.013) < 0.001 − 0.012 (− 0.014, − 0.010) < 0.001
 Gender (male) 0.110 (0.066, 0.153) < 0.001 0.294 (0.163, 0.426) < 0.001
 Interaction NA NA − 0.004 (− 0.007, − 0.001) 0.004
Alcohol Consumption
 Intercept −0.368 (− 0.424, − 0.311) < 0.001 −0.220 (− 0.302, − 0.138) < 0.001
 Age 0.002 (0.001, 0.003) < 0.001 − 0.001 (− 0.003, 0.000) 0.108
 Gender (male) − 0.066 (− 0.100, − 0.032) < 0.001 −0.312 (− 0.417, − 0.207) < 0.001
 Interaction NA NA 0.005 (0.003, 0.007) < 0.001
Previous Cannabis Experience
 Intercept 0.904 (0.844, 0.964) < 0.001 0.992 (0.905, 1.08) < 0.001
 Age −0.004 (− 0.006, − 0.003) < 0.001 − 0.006 (− 0.008, − 0.005) < 0.001
 Gender (male) 0.143 (0.107, 0.179) < 0.001 − 0.005 (− 0.117, 0.107) 0.929
 Interaction NA NA 0.003 (0.001, 0.005) 0.006
History of Substance Abuse
 Intercept −2.540 (−2.664, −2.418) < 0.001 −2.284 (−2.475, −2.095) < 0.001
 Age −0.012 (− 0.015, − 0.010) < 0.001 −0.018 (− 0.022, − 0.014) < 0.001
 Gender (male) 0.361 (0.284, 0.439) < 0.001 −0.019 (− 0.249, 0.212) 0.871
 Interaction NA NA 0.009 (0.004, 0.014) 0.001
Medication Usage
 Intercept −1.014 (− 1.072, − 0.957) < 0.001 −0.595 (− 0.677, − 0.513) < 0.001
 Age 0.024 (0.023, 0.025) < 0.001 0.015 (0.013, 0.017) < 0.001
 Gender (male) −0.607 (− 0.642, − 0.573) < 0.001 − 1.336 (− 1.445, − 1.227) < 0.001
 Interaction NA NA 0.016 (0.013, 0.018) < 0.001
Average Number of Medications
 Intercept 0.236 (0.214, 0.259) < 0.001 0.356 (0.324, 0.389) < 0.001
 Age 0.011 (0.011, 0.012) < 0.001 0.009 (0.008, 0.009) < 0.001
 Gender (male) −0.233 (− 0.247, − 0.220) < 0.001 −0.432 (− 0.473, − 0.391) < 0.001
 Interaction NA NA 0.004 (0.003, 0.005) < 0.001
Average Number of Conditions
 Intercept 1.483 (1.469, 1.497) < 0.001 1.507 (1.487, 1.527) < 0.001
 Age 0.000 (0.000, 0.000) 0.423 −0.001 (− 0.001, 0.000) 0.003
 Gender (male) −0.143 (− 0.151, − 0.135) < 0.001 −0.183 (− 0.209, − 0.157) < 0.001
 Interaction NA NA 0.001 (0.000, 0.001) 0.001
  1. Table 4 shows the results of regression analysis for age and gender as predictors for variables analyzed with univariate analysis in Tables 2 and 3 among 56,860 patients for whom gender was reported. Results are presented with and without an interaction between age and gender included in the model. The coefficient column represents the magnitude of effect and direction of the predictor variable; a negative coefficient for age suggests that younger patients are more likely to report the characteristic, and a negative coefficient for gender suggests that females are more likely to report the characteristic. CI confidence interval