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Table 1 Respondents’ (school administrators) demographic characteristics and length of professional activity, Brazil, 2014 (n = 1136)

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

  Has a drug use prevention program     
  Yes    No    Total    
  n = 580 n = 556 n = 1.136  
Variables n % 95% CI n % 95% CI n % 95% CI p-value
Gendera
 Female 440 76,0 72,3–79,7 405 73,0 69,1–76,6 845 74,5 71,9–77,0 0,243
 Male 139 24,0 20,6–27,7 150 27,0 23,4–30,9 289 25,5 23,0–28,1  
Age
 20–29 years 18 3,1 1,8–4,9 34 6,1 4,3–8,4 52 4,6 3,4–6,0 0,060
 30–39 years 164 28,3 24,6–32,1 175 31,5 27,6–35,5 339 29,8 27,2–32,6  
 40–49 years 249 42,9 38,9–47,1 216 38,8 34,8–43,0 465 40,9 38,1–43,9  
 50–59 years 124 21,4 18,1–24,9 114 20,5 17,2–24,1 238 21,0 18,6–23,4  
 60–69 years 25 4,3 2,8–6,3 17 3,1 1,8–4,8 42 3,7 2,7–5,0  
Educational levela
 Secondary school 2 0,3 0,04–0,1 7 1,3 0,5–2,6 9 0,8 0,4–1,5 0,042
 Incomplete higher education 9 1,6 0,7–2,9 11 2,0 1,0–3,5 20 1,8 1,1–2,7  
 Complete higher education 115 19,9 16,7–23,3 140 25,2 21,6–29,0 255 22,5 20,1–25,0  
 Non-degree graduate education (specialization) 402 69,4 65,5–73,2 363 65,3 61,2–69,2 765 67,4 64,6–70,1  
 Graduate education (master or doctorate) 51 8,8 6,6–11,4 35 6,3 4,4–8,6 86 7,6 6,1–9,3  
Positionb
 Principal 281 54,8 50,3–59,1 219 47,4 42,8–52,1 500 51,3 48,1–54,45 0,012
 Pedagogical supervisor 182 35,5 31,3–39,8 210 45,5 40,8–50,1 392 40,2 27,1–43,4  
 Prevention program coordinator 37 7,2 5,1–9,8 22 4,8 3,1–7,1 59 6,1 4,6–7,7  
 Other 13 2,5 1,4–4,3 11 2,4 1,2–4,2 24 2,5 1,6–3,6  
Length of time (years) Mean DP 95% CI Mean DP 95% CI     
 Current position 6,8 6,1 6,3–7,3 5,9 5,8 5,4–6,3     0,008
 Current school 10,4 8,0 9,8–11,1 9,0 7,5 8,4–9,6     0,002
 Education 20,2 8,4 19,5–20,8 18,2 8,8 17,4–18,9     0,001
  1. aMissing data did not exceed 1%
  2. b13% of this variables responses were missing