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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

From: Negative log-binomial model with optimal robust variance to estimate the prevalence ratio, in cross-sectional population studies

   

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