| Literature DB >> 27262322 |
B Zarrouq1,2, B Bendaou3,4, A El Asri3,4, S Achour5, I Rammouz6, R Aalouane6, B Lyoussi4, S Khelafa7, A Bout7, N Berhili7, H Hlal7, A Najdi3, C Nejjari3, K El Rhazi3.
Abstract
BACKGROUND: Data on psychoactive substance (PAS) consumption among adolescents in the North Center of Morocco are not at all available. Therefore, the current study aimed at investigating the prevalence and the determinants of psychoactive substances use among middle and high school students in this region.Entities:
Keywords: Morocco; Prevalence; Psychoactive substance; Risk factors; School students; Secondary school
Mesh:
Substances:
Year: 2016 PMID: 27262322 PMCID: PMC4893420 DOI: 10.1186/s12889-016-3143-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Some selected background characteristics of the study population (n = 3020)
| Characteristics |
| % |
|---|---|---|
| Gender | ||
| Boys | 1602 | 53.0 |
| Girls | 1418 | 47.0 |
| Age groups (years) | ||
| 11–14 | 795 | 26.4 |
| 15–18 | 1857 | 61.7 |
| 19–23 | 357 | 11.9 |
| School levels | ||
| Middle school | 1657 | 54.9 |
| High school | 1363 | 45.1 |
| Location of school | ||
| Urban | 2273 | 75.3 |
| Rural | 774 | 24.7 |
| Parents’ marital status | ||
| Married | 2684 | 89.3 |
| Divorced | 109 | 3.7 |
| Widowed | 145 | 4.9 |
| Separated | 65 | 2.1 |
| Father’s education | ||
| Illiterate | 1065 | 35.9 |
| Primary | 806 | 27.2 |
| Secondary | 767 | 25.9 |
| University and above | 326 | 11.0 |
| Mother’s education | ||
| Illiterate | 1813 | 60.6 |
| Primeray | 514 | 17.2 |
| Secondary | 517 | 17.3 |
| University and above | 149 | 5.0 |
| Father employment | ||
| Employed | 2490 | 88.4 |
| unemployed | 82 | 2.9 |
| Retired | 245 | 8.7 |
| Mother employment | ||
| Employed | 281 | 9.5 |
| unemployed | 2688 | 90.5 |
| Family income | ||
| ≤ 300 £ | 498 | 16.8 |
| 301 – 1000 £ | 2280 | 76.9 |
| ≥ 1000 £ | 187 | 6.3 |
Prevalence of tobacco and psychoactive substance use among middle and high school students by gender
| Tobacco and psychoactive substance use | Male ( | Female ( | Total ( | |||
|---|---|---|---|---|---|---|
|
| % |
| % |
| % | |
| Tobacco | ||||||
| Lifetime | 416 | 26.2 | 69 | 4.9 | 485 | 16.1 |
| Last 12 months | 240 | 15.0 | 35 | 2.5 | 275 | 9.1 |
| Last 30 days | 159 | 10.0 | 17 | 1.2 | 176 | 5.9 |
| Psychoactive substances | ||||||
| Lifetime | 250 | 15.7 | 30 | 2.1 | 280 | 9.3 |
| Last 12 months | 207 | 13.0 | 17 | 1.2 | 224 | 7.5 |
| Last 30 days | 175 | 11.0 | 13 | 0.9 | 188 | 6.3 |
| Cannabis | ||||||
| Lifetime | 215 | 13.5 | 27 | 1.9 | 242 | 8.1 |
| Last 12 months | 185 | 11.6 | 16 | 1.1 | 201 | 6.7 |
| Last 30 days | 156 | 9.8 | 13 | 0.9 | 169 | 5.6 |
| Alcohol | ||||||
| Lifetime | 119 | 7.5 | 10 | 0.7 | 129 | 4.3 |
| Last 12 months | 105 | 6.6 | 6 | 0.4 | 111 | 3.7 |
| Last 30 days | 93 | 5.8 | 4 | 0.2 | 97 | 3.2 |
| Inhalants | ||||||
| Lifetime | 48 | 3.0 | 2 | 0.2 | 50 | 1.7 |
| Last 12 months | 45 | 2.8 | 1 | 0.1 | 46 | 1.5 |
| Last 30 days | 35 | 2.2 | 1 | 0.1 | 36 | 1.2 |
| Psychotropic substances without medical prescription | ||||||
| Lifetime | 29 | 1.8 | 1 | 0.1 | 30 | 1.0 |
| Last 12 months | 27 | 1.7 | 1 | 0.1 | 28 | 0.9 |
| Last 30 days | 20 | 1.2 | 1 | 0.1 | 21 | 0.7 |
| Cocaine | ||||||
| Lifetime | 18 | 1.1 | 2 | 0.1 | 20 | 0.7 |
| Last 12 months | 18 | 1.1 | 2 | 0.1 | 20 | 0.7 |
| Last 30 days | 11 | 0.7 | 0 | 0.0 | 11 | 0.4 |
| Heroine | ||||||
| Lifetime | 7 | 0.4 | 1 | 0.1 | 8 | 0.3 |
| Last 12 months | 6 | 0.3 | 1 | 0.1 | 7 | 0.2 |
| Last 30 days | 3 | 0.2 | 0 | 0.0 | 3 | 0.1 |
| Amphetamine | ||||||
| Lifetime | 5 | 0.3 | 0 | 0.0 | 5 | 0.2 |
| Last 12 months | 5 | 0.3 | 0 | 0.0 | 5 | 0.2 |
| Last 30 days | 2 | 0.1 | 0 | 0.0 | 2 | 0.1 |
Psychoactive substance use and background characteristics
| Users | Non-users |
| |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Background characteristics | Male | Female | Total | Male | Female | Total | |||||||
|
| % |
| % |
| % |
| % |
| % |
| % | ||
| School levels | |||||||||||||
| Intermediate | 98 | 10.5 | 3 | 0,4 | 101 | 6.1 | 836 | 89.5 | 720 | 99.6 | 1556 | 93.9 | <0.001 |
| Secondary | 152 | 23.2 | 27 | 3,9 | 179 | 13.4 | 502 | 76.7 | 655 | 96.0 | 1157 | 86.6 | |
| Age groups (years) | |||||||||||||
| 11–14 | 13 | 3.2 | 1 | 0,3 | 14 | 1.8 | 387 | 96.8 | 394 | 99.7 | 781 | 98.2 | <0.001 |
| 15–18 | 164 | 17.1 | 23 | 2.6 | 187 | 10.1 | 796 | 82.9 | 865 | 97.4 | 1661 | 89.9 | |
| 19–23 | 70 | 31.5 | 6 | 5.1 | 76 | 22.4 | 152 | 68.5 | 111 | 94.9 | 263 | 77.6 | |
| Location | |||||||||||||
| Urban | 190 | 16.9 | 28 | 2.5 | 218 | 9.7 | 935 | 83.1 | 1094 | 97.5 | 2029 | 90.3 | NS |
| Rural | 60 | 12.9 | 2 | 0.7 | 62 | 8.3 | 403 | 87.1 | 281 | 99,3 | 684 | 91.7 | |
| Parents’ marital status | |||||||||||||
| Married | 219 | 15.4 | 22 | 1.8 | 241 | 9.1 | 1201 | 84.6 | 1218 | 98.2 | 2419 | 90.9 | NS |
| Divorced | 9 | 16.9 | 4 | 7.1 | 13 | 11.9 | 44 | 83.1 | 52 | 92.9 | 96 | 88.1 | |
| Widowed | 15 | 20.5 | 2 | 2.9 | 17 | 11.9 | 58 | 79.5 | 68 | 97.1 | 126 | 88.1 | |
| Separated | 4 | 14.3 | 1 | 2.7 | 5 | 7.7 | 24 | 85.7 | 36 | 97.3 | 60 | 92.3 | |
| Father’s education | |||||||||||||
| Illiterate | 77 | 13.1 | 2 | 0.5 | 79 | 7.5 | 514 | 86.9 | 465 | 99.5 | 979 | 92.5 | NS |
| Primary | 72 | 16.9 | 11 | 3.0 | 83 | 10.5 | 353 | 83.1 | 357 | 97.0 | 710 | 89.5 | |
| Secondary | 71 | 19.1 | 10 | 2.5 | 81 | 10.6 | 301 | 80.9 | 381 | 97.5 | 682 | 89.4 | |
| University and above | 23 | 13.2 | 6 | 4.0 | 29 | 9.0 | 151 | 86.8 | 144 | 96.0 | 295 | 91.0 | |
| Mother’s education | |||||||||||||
| Illiterate | 165 | 16.8 | 8 | 1.0 | 173 | 9.6 | 813 | 83.2 | 807 | 99.0 | 1620 | 90.4 | NS |
| Primeray | 29 | 11.2 | 7 | 2.8 | 36 | 7.1 | 231 | 88.8 | 242 | 97.2 | 473 | 92.9 | |
| Secondary | 37 | 14.3 | 10 | 3.9 | 47 | 9.1 | 221 | 85.7 | 248 | 96.1 | 469 | 90.9 | |
| University and above | 13 | 17.1 | 4 | 5.5 | 17 | 11.4 | 63 | 82.9 | 69 | 94.5 | 132 | 88.6 | |
| Father employment | |||||||||||||
| Employed | 204 | 15.2 | 26 | 2.3 | 230 | 9.3 | 1136 | 84.8 | 1101 | 97.7 | 2273 | 90.7 | NS |
| unemployed | 8 | 18.2 | 0 | 0.0 | 8 | 9.9 | 36 | 81.8 | 37 | 100.0 | 73 | 90.1 | |
| Retired | 19 | 17.2 | 1 | 0.8 | 20 | 8.2 | 91 | 82.8 | 133 | 99.2 | 224 | 90.8 | |
| Mother employment | |||||||||||||
| Employed | 18 | 12.8 | 9 | 6.4 | 27 | 9.6 | 123 | 87.2 | 131 | 93.6 | 254 | 90.4 | NS |
| unemployed | 218 | 15.4 | 19 | 1.5 | 237 | 8.9 | 1195 | 84.6 | 1231 | 98.5 | 2426 | 91.1 | |
| Family income | |||||||||||||
| ≤ 300 £ | 58 | 20.5 | 4 | 1.9 | 62 | 12.6 | 225 | 79.5 | 205 | 98.1 | 430 | 87.4 | <0.007 |
| 301 – 1000 £ | 165 | 14.3 | 24 | 2.2 | 189 | 8.4 | 990 | 85.7 | 1081 | 97.8 | 2071 | 91.6 | |
| ≥ 1000 £ | 21 | 18.3 | 1 | 1.4 | 22 | 11.8 | 94 | 81.7 | 71 | 98.6 | 165 | 88.2 | |
NS Not significant
p < 0.05
Univariate and multivariate logistic regression analysis for psychoactive substance use related factors among participants
| Univariatea | Multivariateb | |||||
|---|---|---|---|---|---|---|
| Category | OR | 95 % CI |
| OR | 95 % CI |
|
| Gender | ||||||
| Female | 1 | 1 | ||||
| Male | 8.5 | 5.8–12.6 | <0.001 | 1.9 | 1.1–2.7 | <0.05 |
| School levels | ||||||
| Intermediate | 1 | 1 | ||||
| Secondary | 2.3 | 1.8–3.1 | <0.001 | 2.8 | 1.6–4.8 | <0.001 |
| Age groups (years) | ||||||
| 11–14 | 1 | 1 | ||||
| 15–18 | 2.5 | 1.9–3.4 | <0.001 | 1.0 | 0.3–3.4 | NS |
| 19–23 | 16.1 | 8.9–29.4 | <0.001 | 1.1 | 0.6–2.1 | NS |
| Feel secure | ||||||
| Yes | 1 | 1 | ||||
| No | 2.1 | 1.6–2.8 | <0.001 | 2.1 | 1.1–3.9 | <0.02 |
| Smoking tobacco | ||||||
| No | 1 | 1 | ||||
| Yes | 46.6 | 33.4–65.2 | <0.001 | 27.3 | 19.2–39.0 | <0.001 |
| Family member who smoke | ||||||
| No | 1 | 1 | ||||
| Yes | 2.3 | 1.3–3.9 | <0.002 | 2.9 | 1.6–5.5 | <0.001 |
| Friends who smoke | ||||||
| No | 1 | 1 | ||||
| Yes | 1.9 | 1.3–3.0 | <0.002 | 1.9 | 1.2–3.1 | <0.005 |
OR Odds ratio
95 % CI 95 % confidence intervals
p < 0.05
aUnivariate associations between PAS use and sociodemographic variables and tobacco use were assessed using the chi-square test
bVariables with p ≤ 0.20 on univariate analysis were entered in multivariate stepwise logistic regression model
The Hosmer-Lemeshow goodness-of-fit test was used to evaluate multivariate model fit (χ2 = 2.2, p = 0.9)