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Table 3 Organizational factors related to decision-making surrounding the adoption of drug use prevention programs, Brazil, 2014 (n = 1136)

From: Drug use prevention: factors associated with program implementation in Brazilian urban schools

 

Univariate regression

Multivariate regression

Variables

OR

95% CI

p-value

OR

95% CI

p-value

School demographic characteristics

 School network

  Private

1,00

1,00

  Public

1,36

1,03–1,80

0,031

1,38

1,00–1,91

0,047

 Region

  Southeast

1,00

1,00

  South

1,06

0,74–1,52

0,754

0,59

0,39–0,90

0,015

  Northeast

0,36

0,27–0,49

< 0,001

0,35

0,24–0,49

< 0,001

  North

0,68

0,42–1,10

0,116

0,56

0,33–0,96

0,350

  Central-West

1,01

1,14–1,61

0,959

0,72

0,45–1,16

0,183

 School structure

  Computer laboratory (Yes)

1,85

1,45–2,37

< 0,001

  Science laboratory (Yes)

1,44

1,09–1,91

0,010

  Library (Yes)

1,98

1,56–2,52

< 0,001

1,73

1,28–2,35

< 0,001

 Curriculum activities

  Health (Yes)

5,00

2,19–11,4

< 0,001

  Sex education (Yes)

3,24

2,06–5,12

< 0,001

2,34

1,43–3,81

0,001

  Eating habits (Yes)

2,99

1,91–4,36

< 0,001

  PSE (Yes)

1,80

1,40–2,30

< 0,001

1,98

1,49–2,64

< 0,001

  Extracurricular activities (Yes)

1,83

1,40–2,39

< 0,001

2,00

1,48–2,69

< 0,001

  Novel teaching practices (Yes)

2,13

1,50–3,03

< 0,001

  Attended training course – Administrators (Yes)

2,29

1,78–2,94

< 0,001

1,97

1,50–2,58

< 0,001