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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