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Table 4 Associations between mean sales of psychoactive drugs (in DDD/1000 inh/year) and prevalence of users and of excessive users by type of psychoactive drug

From: The total sale of prescription drugs with an abuse potential predicts the number of excessive users: a national prescription database study

 

Prevalence of non-excessive users

Prevalence of excessive users > 365 DDD, < 730 DDD

Prevalence of excessive users > 730 DDD

Model R2

 

Regr coeff

SE

p-value

Beta

Regr coeff

SE

p-value

Beta

Regr coeff

SE

p-value

Beta

 

Carisoprodol

0.026

0.007

.002

.543

1.243

0.412

.008

.439

-

-

 

-

0.864

Codeine

-

-

 

-

1.761

0.120

<.001

.961

-

-

 

-

0.923

Diazepam

0.066

0.006

<.001

.403

0.771

0.057

<.001

.483

1.176

0.172

<.001

.231

0.989

Oxazepam

0.052

0.004

<.001

.536

1.058

0.078

<.001

.490

-

-

 

-

0.995

Nitrazepam

0.105

0.010

<.001

.353

0.583

0.038

<.001

.507

1.168

0.109

<.001

.182

0.998

Flunitrazepam

0.142

0.013

<.001

.351

0.427

0.048

<.001

.331

1.470

0.076

<.001

.464

0.993

Zopiclone

0.070

0.015

<.001

.192

0.851

0.055

<.001

.749

0.602

0.251

.029

.085

0.993

Zolpidem

0.069

0.007

<.001

.409

0.693

0.063

<.001

.447

1.305

0.229

<.001

.242

0.988

Anxiolytics (also including alprazolam)

0.024

0.006

.002

.200

1.021

0.148

<.001

.526

1.489

0.246

<.001

.353

0.979

Hypnotics (also including clomethiazole)

0.072

0.019

.002

.182

0.747

0.053

<.001

.676

1.042

0.182

<.001

.182

0.994

All studied drugs

0.051

0.018

.012

.118

0.707

0.087

<.001

.449

1.437

0.138

<.001

.485

0.990

  1. Unstandardized regression coefficients, standard errors of estimates, standardized regression coefficients (beta) and model R square obtained in linear regression models.
  2. Only statistically significant associations are presented.