Table 6.
Adjusted multivariate model of factors associated with use of stimulating prescription drugs
| Variables | step 1a | step 6a | ||||||
|---|---|---|---|---|---|---|---|---|
| Coeff. (SE) | OR (95% CI) | p | VIF | Coeff. (SE) | OR (95% CI) | p | R 2b | |
| BRS | −.72 (.42) | .49 (.21–1.12) | .09 | 2.11 | – | – | – | .45 |
| PSS-4 | .78 (.43) | 2.19 (.95–5.05) | .07 | 1.75 | 1.05 (.33) | 2.86 (1.49–5.46) | <.01 | |
| SOP-2 | .01 (.38) | 1.00 (.48–2.13) | .98 | 1.76 | – | – | – | |
| ASKU | .07 (.5) | 1.07 (.40–2.82) | .90 | 1.76 | – | – | – | |
| IE-I | .18 (.43) | 1.19 (.52–2.74) | .68 | 1.66 | – | – | – | |
| IE-E | −.16 (.38) | .86 (.40–1.81) | .68 | 1.60 | – | – | – | |
| Sex: | ||||||||
| Male | Reference | 1.15 | Reference | |||||
| Female | −.15 (.60) | .86 (.27–2.76) | .80 | – | – | – | ||
| Age | −.89 (.47) | .41 (.17–1.03) | .06 | 1.21 | .53 (.20) | 1.70 (1.15–2.50) | <.01 | |
| Education: | ||||||||
| No formal degree | Reference | 1.11 | Reference | |||||
| Secondary modern school | n.a. | n.a. | n.a. | – | – | – | ||
| Middle school | −1.21 (.83) | .30 (.06–1.53) | .15 | – | – | – | ||
| University-entrance diploma | .07 (.81) | 1.08 (.22–5.28). | .93 | – | – | – | ||
| University degree | −.61 (1.09) | .54 (.06–4.61) | .57 | – | – | – | ||
| Current or last professional position: | ||||||||
| Skilled worker | Reference | Reference | ||||||
| Executive employee | 2.16 (1.25) | 8.69 (.75–100.30) | .08 | 1.05 | – | – | – | |
| Non-executive employee | 1.00 (1.15) | 2.72 (.29–25.62) | .38 | – | – | – | ||
| Civil servants | 1.78 (1.75) | 5.92 (.19–181.33) | .31 | – | – | – | ||
| Self-employed | 2.74 (1.41) | 15.44 (.98–242.95) | .05 | – | – | – | ||
| Other | 1.76 (1.42) | 5.81 (.36–94.30) | .22 | – | – | – | ||
| Place of residence: | ||||||||
| North Rhine-Westphalia | Reference | 1.10 | Reference | |||||
| Hamburg | .07 (1.55) | 1.07 (0.05–22.47) | .96 | – | – | – | ||
| Lower Saxony | −1.67 (1.59) | .19 (.01–4.26) | .29 | – | – | – | ||
| Bremen | n.a. | n.a. | n.a. | – | – | – | ||
| Schleswig Holstein | .17 (1.53) | 1.18 (.06–23.60) | .91 | – | – | – | ||
| Hesse | .10 (1.09) | 1.10 (.13–9.27) | .93 | – | – | – | ||
| Rhineland-Palatine | .70 (1.38) | 2.01 (.13–30.15) | .61 | – | – | – | ||
| Baden-Wuerttemberg | .51 (.86) | 1.66 (.31–9.03) | .56 | – | – | – | ||
| Bavaria | −.61 (.97) | .54 (.08–3.63) | .53 | – | – | – | ||
| Saarland | n.a. | n.a. | n.a. | – | – | – | ||
| Berlin | n.a. | n.a. | n.a. | – | – | – | ||
| Brandenburg | 1.389 (2.18 | 3.98 (.06–286.58) | .53 | – | – | – | ||
| Mecklenburg-Western Pomerania | n.a. | n.a. | n.a. | – | – | – | ||
| Saxony | −.09 (1.23) | .92 (.08–10.23) | .94 | – | – | – | ||
| Saxony-Anhalt | n.a. | n.a. | n.a. | – | – | – | ||
| Thuringia | n.a. | n.a. | n.a. | −2.62 (1.32) | .07 (.01–.97) | .05 | ||
| Soft enhancer intake: | ||||||||
| No | Reference | 1.09 | Reference | |||||
| Yes | 2.63 (1.12) | 13.83 (1.55–123.54) | .02 | 2.25 (.34) | 9.49 (4.86–18.52) | <.001 | ||
Logistic regression with backward elimination) of factors associated with use of stimulating prescription drugs (users n = 48; non-users = 686). First step and final step. n.a. = no data available
Further notes see Table 3