| Literature DB >> 33623642 |
Aziz-Ur-Rahman Niazi1, Nasar Ahmad Shayan1, Su Ozgur2, Shafiq Ahmad Joya1, Hilal Ozcebe3.
Abstract
BACKGROUND: Waterpipe tobacco smoking (WTS) is an ancient type of smoking that has become a global phenomenon. This study aimed to identify the prevalence of waterpipe smoking and its relation to socio-demographic characteristics in Herat University students in western Afghanistan.Entities:
Keywords: Afghanistan; Students; Waterpipe smoking
Year: 2020 PMID: 33623642 PMCID: PMC7878002 DOI: 10.22122/ahj.v12i4.277
Source DB: PubMed Journal: Addict Health ISSN: 2008-4633
Distribution of waterpipe use according to gender
| Waterpipe use | Male | Female | Total | P |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | ||
| Ever use | 344 (54.1) | 444 (81.7) | 788 (66.8) | < 0.001 |
| Current use | 172 (27.0) | 41 (7.6) | 213 (18.1) | |
| Never use | 120 (18.9) | 58 (10.7) | 178 (15.1) | |
| Total | 636 (100) | 543 (100) | 1179 (100) |
Chi-square test
P < 0.05 was the significance level
Ever waterpipe use in male and female university students by socio-demographic characteristics
| Variable | Ever waterpipe use | |||||||
|---|---|---|---|---|---|---|---|---|
| Male | P | Female | P | |||||
| Yes (%) | No (%) | Total (n) | Yes (%) | No (%) | Total (n) | |||
| Age groups (year) | ||||||||
| 17-18 | 10.5 | 89.5 | 38 | 0.018 | 5.3 | 94.7 | 76 | 0.506 |
| 19-20 | 23.0 | 77.0 | 200 | 5.6 | 91.4 | 221 | ||
| 21-22 | 32.1 | 67.9 | 221 | 6.1 | 93.9 | 180 | ||
| 23-24 | 28.8 | 71.2 | 177 | 10.6 | 89.4 | 66 | ||
| Total | 27.0 | 73.0 | 636 | 7.6 | 92.4 | 543 | ||
| Marital status | ||||||||
| Single | 27.1 | 72.8 | 558 | 0.680 | 7.2 | 92.8 | 414 | 0.550 |
| Married | 25.0 | 75.0 | 76 | 8.9 | 91.1 | 124 | ||
| Total | 27.0 | 73.0 | 634 | 7.6 | 92.4 | 538 | ||
| Father's employment | ||||||||
| No | 27.7 | 72.3 | 264 | 0.906 | 9.7 | 90.3 | 155 | 0.317 |
| Yes | 27.2 | 72.8 | 349 | 7.1 | 92.9 | 353 | ||
| Total | 27.4 | 72.6 | 613 | 4.9 | 92.1 | 508 | ||
| Father's education | ||||||||
| Illiterate | 32.8 | 67.2 | 116 | 0.001 | 6.8 | 92.3 | 88 | 0.947 |
| Primary and secondary school | 17.6 | 82.4 | 221 | 7.8 | 92.2 | 180 | ||
| High school | 29.5 | 70.5 | 129 | 9.2 | 90.8 | 98 | ||
| University | 35.0 | 65.0 | 143 | 8.0 | 92.0 | 150 | ||
| Total | 27.1 | 72.9 | 609 | 7.9 | 92.1 | 516 | ||
| Mother's employment | ||||||||
| No | 25.7 | 74.3 | 567 | 0.008 | 6.5 | 93.5 | 462 | 0.026 |
| Yes | 42.1 | 57.9 | 57 | 13.6 | 86.4 | 81 | ||
| Total | 27.2 | 72.8 | 624 | 7.6 | 92.4 | 543 | ||
| Mother's education | ||||||||
| Illiterate | 24.7 | 75.3 | 259 | 0.001 | 7.5 | 92.5 | 173 | 0.211 |
| Primary and secondary school | 24.1 | 75.9 | 249 | 7.4 | 92.6 | 204 | ||
| High school | 31.3 | 68.8 | 64 | 4.2 | 95.8 | 71 | ||
| University | 50.0 | 50.0 | 52 | 13.3 | 86.7 | 75 | ||
| Total | 27.2 | 72.8 | 624 | 7.8 | 92.2 | 523 | ||
| Self-perception of current economic status | ||||||||
| Very poor | 33.3 | 66.7 | 12 | 0.020 | 0 | 100 | 7 | 0.213 |
| Poor | 13.8 | 86.2 | 58 | 11.9 | 88.1 | 42 | ||
| Good | 26.5 | 73.5 | 445 | 6.0 | 94.9 | 331 | ||
| Excellent | 35.6 | 64.4 | 118 | 10.4 | 89.6 | 154 | ||
| Total | 27.2 | 72.8 | 633 | 7.7 | 92.3 | 534 | ||
Chi-square test
P < 0.05 was the significance level
Demographic characteristics of the habits of individuals in the environment
| Smoking person around | Ever waterpipe use | |||||||
|---|---|---|---|---|---|---|---|---|
| Male | P | Female | P | |||||
| Yes (%) | No (%) | Total (n) | Yes (%) | No (%) | Total (n) | |||
| Having friends using waterpipe | 34.7 | 65.3 | 435 | < 0.001 | 21.3 | 78.7 | 150 | < 0.001 |
| Having someone in family using waterpipe | 50.0 | 50.0 | 96 | < 0.001 | 14.3 | 85.7 | 133 | 0.001 |
| Having friends smoking | 41.7 | 58.3 | 288 | < 0.001 | 27.1 | 72.9 | 48 | < 0.001 |
| Having someone in family who smokes any type of tobacco | 33.3 | 66.7 | 57 | 0.431 | 5.4 | 94.6 | 56 | 0.458 |
Chi-square test
P < 0.05 was the significance level
Evaluation of emotional states related to the use of waterpipe in men and women
| Emotional states | Ever waterpipe use | |||||||
|---|---|---|---|---|---|---|---|---|
| Male | P | Female | P | |||||
| Yes (%) | No (%) | Total (n) | Yes (%) | No (%) | Total (n) | |||
| Believing to be addicted to waterpipe | ||||||||
| Yes | 40.0 | 4.2 | 83 | < 0.001 | 35.0 | 3.4 | 23 | < 0.001 |
| No | 60.0 | 95.8 | 448 | 65.0 | 96.6 | 285 | ||
| Total | 100 | 100 | 531 | 100 | 100 | 308 | ||
| Perceived harm of waterpipe compared to cigarettes | ||||||||
| The same | 11.8 | 24.8 | 128 | < 0.001 | 0.157 | |||
| Cigarettes are more harmful than the waterpipe | 34.7 | 17.7 | 136 | 20.5 | 35.9 | 155 | ||
| Waterpipe is more harmful than the cigarettes | 53.5 | 57.5 | 341 | 43.6 | 35.4 | 162 | ||
| Total | 100 | 100 | 605 | 35.9 | 28.8 | 132 | ||
| Perceived addiction of waterpipe compared to cigarettes | ||||||||
| The same | 14.9 | 25.8 | 137 | < 0.001 | 15.4 | 29.8 | 128 | 0.002 |
| Cigarettes are more addictive than waterpipe | 41.7 | 33.2 | 214 | 35.9 | 41.6 | 184 | ||
| Waterpipe is more addictive than cigarettes | 23.8 | 32.5 | 181 | 28.2 | 23.0 | 105 | ||
| Not addictive | 19.6 | 8.5 | 70 | 20.5 | 5.6 | 31 | ||
| Total | 100 | 100 | 602 | 100 | 100 | 448 | ||
| Perception of waterpipe smoke nicotine content compared to cigarette smoke | ||||||||
| Pretty much the same | 10.2 | 16.9 | 89 | 0.001 | 12.8 | 27.1 | 119 | 0.149 |
| Cigarette smoke has more nicotine | 47.3 | 32.1 | 216 | 53.8 | 45.0 | 210 | ||
| Waterpipe smoke has more nicotine | 42.5 | 51.1 | 289 | 33.3 | 27.9 | 130 | ||
| Total | 100 | 100 | 594 | 100 | 100 | 459 | ||
| Perception of reduced health risk of switching from cigarettes to waterpipe | ||||||||
| No reduction | 54.5 | 60.1 | 346 | 0.145 | 43.6 | 48.8 | 219 | 0.889 |
| Small reduction in health risk | 24.6 | 18.2 | 118 | 28.2 | 24.4 | 112 | ||
| Moderate reduction in health risk | 13.2 | 10.4 | 66 | 15.4 | 16.4 | 74 | ||
| Large reduction in health risk | 7.8 | 11.3 | 61 | 12.8 | 10.4 | 48 | ||
| Total | 100 | 100 | 591 | 100 | 100 | 453 | ||
Chi-square test
P < 0.05 was the significance level
Logistic regression models of ever waterpipe users in men and women
| Variables | B | SE | Wald | df | P | Exp(B) | 95% CI for Exp(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Men1 | ||||||||
| Constant | -4.600 | 1.155 | 15.860 | 1 | < 0.001 | 0.010 | ||
| Age | 0.151 | 0.052 | 8.315 | 1 | 0.004 | 1.162 | 1.049 | 1.288 |
| Father’s education | 8.641 | 3 | 0.034 | |||||
| Father’s education (illiterate) | 0.130 | 0.277 | 0.220 | 1 | 0.639 | 1.138 | 0.662 | 1.959 |
| Father’s education (primary school) | -0.497 | 0.239 | 4.314 | 1 | 0.038 | 0.609 | 0.381 | 0.972 |
| Father’s education (high school) | -0.423 | 0.268 | 2.493 | 1 | 0.114 | 0.655 | 0.388 | 1.107 |
| Having friends using waterpipe | 1.427 | 0.216 | 43.489 | 1 | < 0.001 | 4.165 | 2.726 | 6.365 |
| Having someone in family using waterpipe | 0.884 | 0.255 | 12.021 | 1 | 0.001 | 2.420 | 1.468 | 3.989 |
| Women2 | ||||||||
| Constant | -2.292 | 0.422 | 29.485 | 1 | < 0.001 | 0.101 | ||
| Having friends using waterpipe | 1.656 | 0.262 | 39.918 | 1 | < 0.001 | 5.239 | 3.134 | 8.758 |
| Having someone in family using waterpipe | 0.597 | 0.268 | 4.975 | 1 | 0.026 | 1.816 | 1.075 | 3.069 |
| Economic status (poor) | 9,670 | 2 | 0.008 | |||||
| Economic status (good) | -0.289 | 0.422 | 0.470 | 1 | 0.493 | 0.749 | 0.328 | 1.712 |
| Economic status (excellent) | 0.569 | 0.446 | 1.631 | 1 | 0.202 | 1.767 | 0.738 | 4.234 |
Agecont., friend use (not using), family use (not using), father’s education (university), economic status (poor), marital status (married), mother’s job (no), father’s job (no); P < 0.05 was the significance level
Agecont., friend use (not using), family use (not using), economic status (poor), marital status (married), mother’s job (no), father’s job (no); P < 0.05 was the significance level
SE: Standard error; df: Degree of freedom; CI: Confidence interval