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. 2023 Oct 4;23:219. doi: 10.1186/s12874-023-01999-1

Table 1.

Prevalence rates ratio crudes and of the NLB model of the consumption of cocaine, marijuana, cigarette, alcohol risk of consumption of psychoactive substances associated with depression of Colombian workers

CI 95%
Estimator Standard error estimation Lower limit Upper limit
Lifetime cocaine consumption prevalence (prevalence = 1.8%)
 PR Crude 3.294 0,7126 0.815 13.316
 PR Negative Log-Binomial model 3.294 0.7168 0.809 13.424
 PR Robust Negative Log-Binomial model 3.294 0.7126 0.815 13.316
 OR Crude – logistic regression binary 3.337 0.717 0.819 13.600
Marijuana consumption prevalence (prevalence = 9.6%)
 PR Crude 3.493 0,2999 1.940 6.287
 PR Negative Log-Binomial model 3.493 0.3091 1.906 6.401
 PR Robust Negative Log-Binomial model 3.493 0.2999 1.940 6.287
 OR Crude – logistic regression binary 3.771 0.309 2.057 6.913
Cigarette consumption prevalence (prevalence = 21.3%)
 PR Crude 2.593 0.1897 1.788 3.760
 PR Negative Log-Binomial model 2.593 0.2073 1.727 3.893
 PR Robust Negative Log-Binomial Model 2.593 0.1897 1.788 3.760
 OR Crude -logistic regression binary 3.045 0.208 2.025 4.579
Lifetime alcohol consumption prevalence,(prevalence = 85.7%)
 PR Crude 1.255 0,0356 1.171 1.346
 PR Negative Log-Binomial model 1.255 0.0849 1.063 1.463
 PR Robust Negative Log-Binomial model 1.255 0.0356 1.171 1.346
 OR Crude – logistic regression binary 2.940 0.121 2.319 3.729
Risk of consumption of psychoactive substances (prevalence = 96.1%)
 PR Crude 1.086 0.0180 1.048 1.125
 PR Negative Log-Binomial model 1.086 0.0769 0.934 1.263
 PR Robust Negative Log-Binomial model 1.086 0.0180 1.048 1.125
 OR Crude – logistic regression binary 3.560 0.180 2.501 5.068