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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)