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Table 4 Univariate and multivariate logistic regression analysis for psychoactive substance use related factors among participants

From: Psychoactive substances use and associated factors among middle and high school students in the North Center of Morocco: a cross-sectional questionnaire survey

  Univariatea Multivariateb
Category OR 95 % CI p- value OR 95 % CI p- value
Gender
 Female 1    1   
 Male 8.5 5.8–12.6 <0.001 1.9 1.1–2.7 <0.05
School levels
 Intermediate 1    1   
 Secondary 2.3 1.8–3.1 <0.001 2.8 1.6–4.8 <0.001
Age groups (years)
 11–14 1    1   
 15–18 2.5 1.9–3.4 <0.001 1.0 0.3–3.4 NS
 19–23 16.1 8.9–29.4 <0.001 1.1 0.6–2.1 NS
Feel secure
 Yes 1    1   
 No 2.1 1.6–2.8 <0.001 2.1 1.1–3.9 <0.02
Smoking tobacco
 No 1    1   
 Yes 46.6 33.4–65.2 <0.001 27.3 19.2–39.0 <0.001
Family member who smoke
 No 1    1   
 Yes 2.3 1.3–3.9 <0.002 2.9 1.6–5.5 <0.001
Friends who smoke
 No 1    1   
 Yes 1.9 1.3–3.0 <0.002 1.9 1.2–3.1 <0.005
  1. OR Odds ratio
  2. 95 % CI 95 % confidence intervals
  3. p < 0.05
  4. aUnivariate associations between PAS use and sociodemographic variables and tobacco use were assessed using the chi-square test
  5. bVariables with p ≤ 0.20 on univariate analysis were entered in multivariate stepwise logistic regression model
  6. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate multivariate model fit (χ2 = 2.2, p = 0.9)