| Literature DB >> 30168502 |
Omar Laraqui1, Salwa Laraqui, Nadia Manar, Tarik Ghailan, Reda Hammouda, Frédéric Deschamps, Chakib El Houssine Laraqui.
Abstract
BACKGROUND: The prevalence of psychoactive substances is constantly increasing in developing countries, and all professional sectors are concerned. Taxi drivers are a particular target because of the dangerousness and complexity of their work. However, few studies have investigated toxic habits in this population.Entities:
Mesh:
Substances:
Year: 2018 PMID: 30168502 PMCID: PMC7682166 DOI: 10.23749/mdl.v109i4.7041
Source DB: PubMed Journal: Med Lav ISSN: 0025-7818 Impact factor: 1.275
Prevalences of toxic habits
| Toxic habits N=2,927 | No users | Former users | Current users |
| Tobacco smoking | 1,259 (43) | 598 (20.4) | 1,070 (36.6) |
| Tobacco snuff | 2,585 (88.3) | 173 (6) | 169 (5.8) |
| Hookah | 2,546 (86.9) | 168 (5.7) | 213 (7.3) |
| Cannabis smoking | 2,169 (74.1) | 450 (15.3) | 308 (18.4) |
| Alcohol Consumption | 1,843 (62.9) | 544 (18.6) | 540 (10.5) |
| Other psychotropic substances | 2,789 (95.2) | 60 (2) | 78 (2.7) |
n (%)
Association between sociodemographic characteristics and toxic habits
| N = 2,927 | TS | S | H | A | C | OPS | |
| 1,070 (36.6) | 169 (5.8) | 213 (7.3) | 308 (10.5) | 540 (18.4) | 78 (2.7) | ||
| Age (years) | |||||||
| <40 | 1,394 (47.6) | 558 (40.2) | 45 (3.2) | 143 (10.2) | 160 (11.4) | 339 (24.3) | 19 (1.3) |
| ≥40 | 1,533 (52.4) | 512 (33.4) | 124 (8.1) | 70 (4.5) | 148 (9.6) | 201 (13.1) | 69 (3.8) |
| Family status | |||||||
| Lives alone | 707 (24.2) | 311 (44) | 18 (2.5) | 99 (14) | 109 (15.4) | 179 (25.3) | 15 (2.1) |
| Lives in couple | 2,220 (75.8) | 759 (34.2) | 151 (6.8) | 114 (5.1) | 199 (9) | 361 (16.3) | 63 (2.8) |
| Educational level | |||||||
| Illiterate | 441 (15) | 158 (35.8) | 34 (7.7) | 18 (4.1) | 48 (10.9) | 77 (17.5) | 6 (1.4) |
| Koranic education | 368 (12.6) | 114 (31) | 36 (9.8) | 5 (1.4) | 32 (8.7) | 23 (6.3) | 1 (0.3) |
| Primary | 852 (29.1) | 329 (38.6) | 62 (7.3) | 72 (8.4) | 81 (9.5) | 173 (20.3) | 8 (0.9) |
| Secondary | 1,027 (35.1) | 385 (37.5) | 31 (3) | 85 (8.3) | 116 (11.3) | 217 (21.1) | 32 (3.1) |
| Superior | 239 (8.2) | 84 (35.1) | 6 (2.5) | 33 (13.8) | 31 (13) | 50 (20.9) | 31 (13) |
TS: tobacco smoking; S: snuff; H: hookah; C: cannabis; A: alcohol; OPS: other psychotropic substances
Association between socio-professional characteristics and toxic habits
| N = 2,927 | TS | S | H | A | C | OPS | |
| 1,070 (36.6) | 169 (5.8) | 213 (7.3) | 308 (10.5) | 540 (18.4) | 78 (2.7) | ||
| Length of employment (years) | |||||||
| <5 | 651 (22.2) | 268 (41.2) | 7 (1.1) | 111 (17.1) | 87 (13.4) | 139 (21.4) | 3 (0.5) |
| 5-15 | 1,229 (42) | 453 (36.9) | 83 (6.8) | 76 (6.2) | 116 (9.4) | 257 (20.9) | 16 (1.3) |
| >15 | 1,047 (35.8) | 349 (33.3) | 79 (7.5) | 26 (2.5) | 105 (10) | 144 (13.8) | 59 (5.6) |
| Working rhythm | |||||||
| Typical | 1,589 (54.3) | 474 (29.8) | 94 (5.9) | 44 (2.8) | 126 (7.9) | 138 (8.7) | 12 (0.8) |
| Atypical | 1,338 (45.7) | 596 (44.5) | 75 (5.6) | 169 (12.6) | 182 (13.6) | 402 (30) | 66 (4.9) |
| Daily working (h) | |||||||
| ≤8 | 391 (13.3) | 126 (32.2) | 31 (7.9) | 19 (4.9) | 38 (9.7) | 28 (7.2) | 9 (1.9) |
| 9-10 | 473 (16.2) | 48 (10.1) | 22 (4.7) | 25 (5.3) | 35 (7.4) | 6 (1.3) | 69 (3.3) |
| >10 | 2,063 (70.5) | 896 (43.4) | 116 (5.6) | 169 (8.2) | 235 (11.4) | 506 (24.5) | 0 (0) |
TS: tobacco smoking; S: snuff; H: hookah; C: cannabis; A: alcohol; OPS: other psychotropic substances
Association between sociodemographic characteristics and misuse
| TS | A | C | |
| 391/1,070 (36.6) | 174/308 (56.5) | 201/540 (37.2) | |
| Age (years) | |||
| <40 | 169/558 (30.3) | 78/160 (48.8) | 86/339 (25.4) |
| ≥40 | 222/512 (43.4) | 96/148 (64.9) | 115/201 (57.2) |
| Family status | |||
| lives alone | 225/311 (72.3) | 85/109 (78) | 72/179 (40.2) |
| lives in couple | 166/759 (21.9) | 89/199 (44.7) | 129/361 (35.7) |
| Educational level | |||
| Illiterate | 96/158 (60.8) | 34/48 (70.8) | 31/77 (40.2) |
| Koranic education | 31/114 (27.2) | 16/32 (50) | 4/23 (17.4) |
| Primary | 113/329 (34.3) | 49/81 (60.4) | 76/173 (43.9) |
| Secondary | 132/385 (34.2) | 69/116 (59.4) | 84/217 (38.7) |
| Superior | 19/84 (22.6) | 6/31 (19.4) | 6/50 (12) |
TS: tobacco smoking; C: cannabis; A: alcohol
Association between socio-professional characteristics and misuse
| TS | A | C | |
| 391/1,070 (36.5) | 174/308 (56.5) | 201/540 (37.2) | |
| Length of employment (years) | |||
| <5 | 67/268 (25) | 25/87 (28.7) | 37/139 (26.6) |
| 5-15 | 185/453 (40.8) | 67/116 (57.7) | 93/257 (36.1) |
| >15 | 139/349 (39.8) | 82/105 (78.1) | 71/144 (49.3) |
| Daily working (h) | |||
| ≤8 | 41/126 (32.5) | 13/38 (34.2) | 8/28 (28.5) |
| 9-10 | 17/48 (35.4) | 17/35 (48.6) | 2/6 (33.3) |
| >10 | 333/896 (37.2) | 144/235 (61.3) | 191/506 (37.7) |
TS: tobacco smoking; C: cannabis; A: alcohol
Prevalences of toxic habits and their associations
| 0 toxic habit n=1473 (50.3) | Toxic substances | 1,473 (50.3) |
| 1 toxic habit | T | 754 (25.8) |
| n=1024 (35) | A | 134 (4.6) |
| C | 101 (3.5) | |
| P | 35 (1.2) | |
| 2 toxic habits | T + A | 198 (6.8) |
| n=335 (11.5) | T + C | 119 (4.1) |
| T + P | 6 (0.2) | |
| A + P | 1 (0.03) | |
| A + C | 11 (4) | |
| 3 toxic habits | T + C + A | 59 (2) |
| n=78 (2.7) | T + C + P | 18 (0.6) |
| C + A + P | 1 (0.03) | |
| 4 toxic habits | T + C + A + P | 17 (0.6) |
| n=17 (0.6) | ||
| Total population | 2,927 (100) |
T: tobacco smoking; C: cannabis; A: alcohol; P: other psychotropic substances