Table 5 Multinomial logistic regression
From: Differentiating people who use cannabis heavily through latent class analysis
Moderately heavy (as ref.) vs. heavy | Moderately heavy (as ref.) vs. Very heavy | Heavy (as ref.) vs. Very heavy | ||||
|---|---|---|---|---|---|---|
Coefficient | 95% Conf. interval | Coefficient | 95% Conf. interval | Coefficient | 95% Conf. interval | |
Socio-demographics | ||||||
Age | ||||||
18–20 years old | Ref. | - | Ref. | - | Ref. | - |
21–30 years old | 1.413* | (0.214, 2.611) | -0.364 | (-2.748, 2.020) | -1.777 | (-3.949, 0.395) |
31–40 years old | 0.895 | (-0.774, 2.564) | -1.795 | (-4.928, 1.339) | -2.689 | (-5.463, 0.084) |
> 40 years old | 0.532 | (-1.712, 2.776) | -3.232 | (-7.642, 1.178) | -3.764 | (-7.705, 0.177) |
Male | -0.324 | (-1.005, 0.358) | -0.286 | (-1.610, 0.038) | 0.037 | (-1.128, 1.203) |
Education | ||||||
Primary | Ref. | - | Ref. | - | Ref. | - |
Secondary | -0.578 | (-2.759, 1.602) | -1.843 | (-4.456, 0.769) | -1.265 | (-2.967, 0.437) |
Vocational Training | -1.275 | (-3.400, 0.850) | -2.522 | (-5.259, 0.216) | -1.246 | (-3.186, 0.693) |
Baccalaureate | -0.575 | (-2.707, 1.557) | -2.049 | (-4.700, 0.603) | -1.474 | (-3.280, 0.332) |
University | -1.247 | (-3.226, 0.731) | -3.904** | (-6.434, -1.374) | -2.657** | (-4.419, -0.893) |
Employment | ||||||
Employed | Ref. | - | Ref. | - | Ref. | - |
Unemployed | -0.347 | (-1.360, 0.667) | 0.123 | (-1.536, 1.782) | 0.470 | (-0.911, 1.851) |
Inactive | 0.367 | (-0.526, 1.259) | -1.157 | (-3.006, 0.692) | -1.524 | (-3.179, 0.131) |
Cannabis use | ||||||
Nº of years | 0.052 | (-0.019, 0.123) | 0.197** | (0.061, 0.333) | 0.145* | (0.026, 0.264) |
Smoked mix tobacco | 1.019 | (-0.091, 2.218) | 13.815 | (-1994, 2022) | 12.796 | (-1995, 2021) |
Used at home | 0.822 | (-0.239, 1.883) | 0.829 | (-1.536, 3.193) | 0.006 | (-2.196, 2.209) |
Used outdoors | 0.633 | (-0.114, 1.380) | 1.371* | (0.058, 2.685) | 0.739 | (-0.376, 1.853) |
Used in a vehicle | 0.049 | (-0.744, 0.842) | 0.792 | (-0.498, 2.083) | 0.743 | (-0.323, 1.809) |
Reasons for use | ||||||
Expansion | -0.017 | (-0.358, 0.322) | -0.464 | (-1.068, 0.140) | -0.447 | (-0.963, 0.070) |
Coping | 0.364 | (-0.022, 0.751)) | 0.069 | (-0.606, 0.744) | -0.295 | (-0.874, 0.283) |
Sources of supply | ||||||
Obtained for free | -1.018** | (-1.734, -0.301) | -1.965* | (-3.656, -0.275) | -0.947 | (-2.521, 0.626) |
Bought in a club | 1.360*** | (0.539, 2.181) | 3.066*** | (1.644, 4.487) | 1.706** | (0.509, 2.903) |
Home grown | 1.526 | (-0.131, 3.183) | 0.513 | (-2.046, 3.072) | -1.013 | (-3.014, 0.998) |
Adverse outcomes | ||||||
Psychological | 0.472 | (-0.372, 1.315) | -0.039 | (-1.490, 1.412) | -0.511 | (-1.748, 0.727) |
Problems with family | -0.806 | (-1.846, 0.235) | 0.250 | (-1.419, 1.919) | 1.056 | (-0.308, 2.420) |
Financial | -0.348 | (-1.139, 0.443) | -0.401 | (-1.771, 0.968) | -0.053 | (-1.209, 1.102) |
Fines | 0.454 | (-0.286, 1.194) | 0.612 | (-0.704, 1.927)) | 0.157 | (-0.979, 1.294) |
CAST | 0.095 | (-0.002, 0.193) | 0.318*** | (0.147, 0.489) | 0.223** | (0.077, 0.369) |
Use of other substances | ||||||
Tobacco | 0.113 | (-0.631, 0.859) | 0.993 | (-0.617, 2.606) | 0.879 | (-0.579, 2.338) |
Alcohol | -0.105 | (-1.081, 0.870) | -1.434 | (-2.971, 0.102) | -1.328* | (-2.587, -0.070) |
Inhalants | 1.491 | (-0.105, 3.089) | 2.021 | (-0.218, 4.260) | 0.530 | (-1.159, 2.219) |
Cocaine | -0.017 | (-0.808, 0.774) | 0.346 | (-1.006, 1.698) | 0.363 | (-0.792, 1.517) |
Amphetamine | 0.471 | (-0.481, 1.423) | 0.937 | (-0.679, 2.553) | 0.466 | (-0.907, 1.840) |
LSD | 1.162 | (-0.295, 2.621) | 1.782 | (-0.568, 4.133) | 0.619 | (-1.303, 2.542) |
Synthetic cannabin | 0.558 | (-1.724, 2.839) | 1.235 | (-1.774, 4.225) | 0.678 | (-1.496, 2.852) |