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

BMC Public Health

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

	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
Gender^a
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 level^a
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
Position^b
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

ISSN: 1471-2458