| Literature DB >> 27509010 |
Ana Paula Dias Pereira1, Ângela Tavares Paes2, Zila M Sanchez3.
Abstract
OBJECTIVE: To analyze if characteristics of managers, schools, and curriculum are associated with the implementation of programs for drug abuse prevention in elementary and high schools.Entities:
Mesh:
Year: 2016 PMID: 27509010 PMCID: PMC4994930 DOI: 10.1590/S1518-8787.2016050005819
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Characteristics of schools and respondent managers. Sao Paulo, SP, Southeastern Brazil, 2013. (N = 263)
| Characteristics | n | % | 95%CI |
|---|---|---|---|
| Characteristics of the school | |||
| Level of education offered | |||
| Only Elementary School | 113 | 43.0 | 36.9–49.2 |
| Elementary and High School | 135 | 51.3 | 45.1–57.5 |
| Only High School | 15 | 5.7 | 5.1–6.3 |
| Type of school | |||
| State | 111 | 42.2 | 36.2–48.4 |
| Municipal | 93 | 35.4 | 29.6–41.5 |
| Private | 59 | 22.4 | 17.5–28.0 |
| Size | |||
| Small (up to 800 students) | 99 | 37.6 | 31.8–43.8 |
| Medium (801-1,600 students) | 126 | 47.9 | 41.7–54.1 |
| Large (≥ 1,600 students) | 38 | 14.5 | 10.4–19.3 |
| Characteristics of the managers | |||
| Sex | |||
| Female | 201 | 76.4 | 70.8–81.4 |
| Male | 62 | 23.6 | 18.5–29.2 |
| Age group (years) | |||
| ≤ 35 | 45 | 17.1 | 12.7–22.2 |
| 36-45 | 96 | 36.5 | 30.7–42.6 |
| 46-55 | 97 | 36.9 | 31.0–43.0 |
| ≥ 56 | 25 | 9.5 | 9.1–9.7 |
| Education | |||
| High school | 2 | 0.8 | 7.4–8.4 |
| Higher education | 92 | 34.9 | 29.2–41.1 |
| Post-graduation (specialization) | 136 | 51.7 | 45.5–57.9 |
| Post-graduation (master’s or PhD) | 33 | 12.5 | 8.8–17.2 |
| Position at school | |||
| Headmaster | 117 | 44.5 | 38.4–50.7 |
| Pedagogical coordinator | 138 | 52.5 | 46.2–58.6 |
| Prevention program coordinator | 8 | 3.0 | 2.4–3.6 |
| Working time (years) | Median | p25-p75 | |
| In the current position | 4 | - | 2–8 |
| In the current school | 5 | - | 2–12 |
| In the field of education | 20 | - | 14–26 |
| Participation of managers in courses on drugs* | |||
| Yes | 164 | 64.1 | 57.8–69.9 |
| No | 92 | 35.9 | 30.0–42.1 |
* 3.0% did not respond.
Health education and drugs in the school context. Sao Paulo, SP, Southeastern Brazil, 2013. (N = 263)
| Barriers | Total | State | Municipal | Private | p | ||||
|---|---|---|---|---|---|---|---|---|---|
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| (n = 263) | (n = 111) | (n = 93) | (n = 59) | ||||||
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| n (%) | 95%CI | n (%) | 95%CI | n (%) | 95%CI | n (%) | 95%CI | ||
| Has a prevention program inserted in the daily life and educational program of the school | 100 (42.5) | 36.1–49.1 | 39 (39.4) | 29.7–49.7 | 36 (42.4) | 31.7–53.5 | 25 (49.0) | 34.7–63.4 | 0.528 |
| Managers open to changes | 219 (94.8) | 91.10–97.3 | 91 (94.8) | 88.3–98.3 | 79 (94.0) | 86.6–98.0 | 49 (96.0) | 86.5–99.5 | 0.876 |
| Experiment with innovative curricula, programs, and teaching practices | 200 (85.8) | 80.7–90.0 | 83 (84.7) | 76.0–91.2 | 72 (85.7) | 76.4–92.4 | 45 (88.2) | 76.1–95.6 | 0.840 |
| Develops activities to work with content linked to sexuality | 228 (86.7) | 82.0–90.5 | 97 (87.4) | 79.7–92.9 | 78 (83.9) | 74.8–90.7 | 53 (89.8) | 79.2–96.2 | 0.140 |
| Develops activities to work with content linked to eating habits | 236 (89.7) | 85.4–93.1 | 97 (87.4) | 79.7–92.9 | 82 (88.2) | 79.8–93.9 | 57 (96.6) | 88.3–99.6 | 0.551 |
| Caught students using illicit drugs inside the school | 145 (56.6) | 50.3–62.8 | 75 (68.8)a,b | 59.2–77.3 | 46 (50.0) | 39.4–60.6 | 24 (43.6) | 30.3–57.7 | 0.002 |
| Caught students using alcohol inside the school | 149 (58.2) | 51.9–64.3 | 76 (69.7)a,b | 60.2–78.2 | 48 (52.2) | 41.5–62.7 | 25 (45.5) | 32.0–59.4 | 0.004 |
| Caught students using tobacco inside the school | 179 (69.9) | 63.9–75.5 | 88 (80.7)a,b | 72.1–87.7 | 58 (63.0) | 52.3–72.9 | 33 (60.0) | 45.9–73.0 | 0.005 |
a Statistically significant difference when compared with municipal schools.
b Statistically significant difference when compared with private schools.
Barriers that hinder the implementation of programs for drug abuse prevention in schools. Sao Paulo, SP, Southeastern Brazil, 2013. (N = 263)
| Barriers | Total | State | Municipal | Private | p | ||||
|---|---|---|---|---|---|---|---|---|---|
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| (n = 235) | (n = 99) | (n = 85) | (n = 51) | ||||||
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| n (%) | 95%CI | n (%) | 95%CI | n (%) | 95%CI | n (%) | 95%CI | ||
| Lack of time for training teachers | 165 (71.1) | 64.8–76.8 | 73 (73.7) | 63.9–82.1 | 63 (74.1) | 63.5–83.0 | 29 (60.4) | 46.1–74.2 | 0.185 |
| Lack of appropriate material | 148 (64.6) | 58.2–70.8 | 73 (75.3)b | 66.1–83.8 | 59 (71.1)b | 59.7–80.0 | 16 (32.7) | 20.8–47.9 | < 0.001 |
| Competing demands for teaching other subjects | 136 (59.1) | 52.6–65.5 | 49 (51.0)a | 40.3–60.7 | 59 (71.1) | 59.7–80.0 | 28 (54.9) | 40.3–68.9 | 0.019 |
| Lack of money | 109 (47.6) | 41.1–54.2 | 62 (63.3)a,b | 53.4–73.1 | 37 (44.6)b | 33.9–55.9 | 10 (20.8) | 11.3–35.3 | < 0.001 |
| It is not high priority for teachers | 63 (27.7) | 22.0–33.8 | 24 (24.7) | 16.2–33.9 | 26 (32.1) | 22.1–42.8 | 13 (26.5) | 15.9–41.7 | 0.538 |
| Lack of support from teachers | 53 (23.2) | 18.1–29.3 | 27 (27.6)b | 18.8–37.1 | 23 (28.4)b | 19.0–39.0 | 3 (6.1) | 4.6–7.4 | 0.006 |
| It is not high priority for headmasters | 45 (19.6) | 14.7–25.2 | 20 (20.4) | 12.8–29.5 | 15 (18.3) | 11.1–28.8 | 10 (20.0) | 9.8–33.1 | 0.935 |
| Traffic pressure | 43 (18.7) | 13.9–24.3 | 21 (21.2)b | 13.6–30.6 | 21 (25.6)b | 17.0–36.5 | 1 (2.0) | 0.9–3.3 | 0.003 |
| Resistance of the school board and parents | 29 (12.6) | 8.8–17.7 | 14 (14.4) | 7.9–22.6 | 9 (10.8) | 5.0–19.1 | 6 (12.0) | 4.4–23.9 | 0.762 |
a Statistically significant difference when compared with municipal schools.
b Statistically significant difference when compared with private schools.
Factors associated with the implementation of program for drug abuse prevention – results of univariate analysis and final multivariate model. Sao Paulo, SP, Southeastern Brazil, 2013. (N = 263)
| Variable | Univariate | Multivariate | ||||
|---|---|---|---|---|---|---|
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| OR | 95%CI | p | OR | 95%CI | p | |
| Characteristics of the managers | ||||||
| Age (years) | 1.02 | 0.99–1.05 | 0.182 | - | - | - |
| Time in education (years) | 1.03 | 1.00–1.07 | 0.044 | 1.042 | 1.01–1.08 | 0.023 |
| Time at the school (years) | 1.03 | 0.99–1.06 | 0.121 | - | - | - |
| Time in the position (years) | 1.05 | 1.00–1.09 | 0.047 | - | - | - |
| Attended a prevention course | 1.08 | 0.62–1.88 | 0.796 | - | - | - |
| Characteristics of the school | ||||||
| Level of education offered | ||||||
| Elementary School | 1.00 | - | - | - | - | - |
| Elementary and High School | 1.09 | 0.64–1.85 | 0.759 | - | - | - |
| High School | 0.40 | 0.10–1.56 | 0.189 | - | - | - |
| Type of school | ||||||
| State | 1.00 | - | - | - | - | - |
| Municipal | 0.99 | 0.58–1.69 | 0.963 | 1.14 | 0.61–2.13 | 0.689 |
| Private | 1.40 | 0.75–2.60 | 0.292 | 1.18 | 0.57–2.47 | 0.652 |
| Size of the school | ||||||
| Small | 1.13 | 0.49–2.57 | 0.777 | - | - | - |
| Medium | 1.07 | 0.49–2.38 | 0.859 | - | - | - |
| Large | 1.00 | - | - | - | - | - |
| Managers open to changesa | 1.53 | 0.45–5.52 | 0.496 | - | - | - |
| Experiment with innovative curricula, programs, and teaching practicesb | 6.69 | 2.27–19.74 | 0.001 | 6.19 | 2.01–19.04 | 0.001 |
| Health and drugs education in the school context | ||||||
| Develops activities to work with content linked to sexuality | 4.928 | 1.65–14.75 | 0.004 | 3.11 | 0.971–9.95 | 0.056 |
| Develops activities to work with content linked to eating habits | 2.257 | 0.86–5.95 | 0.100 | - | - | - |
| Caught students using illicit drugs inside the school | 0.99 | 0.59–1.66 | 0.964 | - | - | - |
| Caught students using alcohol inside the school | 0.73 | 0.43–1.24 | 0.251 | - | - | - |
| Caught students using tobacco inside the school | 0.89 | 0.51–1.56 | 0.697 | - | - | - |
a Fully or partially agreed with the statement “the managers in our school are open to change”.
b Fully or partly agreed with the statement “our school often experiments with innovative curricula, programs, and education practices”.