| Literature DB >> 19323807 |
Syed Farid-ul-Hasnain1, Eva Johansson, Gunilla Krantz.
Abstract
BACKGROUND: HIVAIDS is spreading globally, hitting the younger generations. In Pakistan, the prevalence of HIV in high-risk subpopulations is five per cent or higher. This poses a serious threat of a generalised epidemic especially among the younger population. In the wake of HIVAIDS epidemic this is worrying as a well informed younger generation is crucial in restricting the spread of this epidemic. This study investigated Pakistani young adults' (male and female) knowledge and awareness of the HIV/AIDS disease.Entities:
Mesh:
Year: 2009 PMID: 19323807 PMCID: PMC2678138 DOI: 10.1186/1471-2334-9-38
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Socio-demographic and psychosocial characteristics, n = 1,650 (males = 826, females = 824).
| Characteristic | All | Males | Females | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| 17–18 | 685 | 41.5 | 339 | 41.0 | 346 | 42.0 |
| 19–21 | 965 | 58.5 | 487 | 59.0 | 478 | 58.0 |
| Illiterate | 174 | 10.5 | 71 | 8.6 | 103 | 12.5 |
| Can read a newspaper | 3 | 0.2 | 0 | 0.0 | 3 | 0.4 |
| Can read a newspaper and write a letter | 1 | 0.1 | 0 | 0.0 | 1 | 0.1 |
| 1–5 years of schooling | 106 | 6.4 | 46 | 5.6 | 60 | 7.3 |
| 6–10 years of schooling | 998 | 60.5 | 537 | 65.0 | 461 | 55.9 |
| 11–12 years of school/college | 317 | 19.2 | 152 | 18.4 | 165 | 20.0 |
| > 12 years of school/college | 51 | 3.1 | 20 | 2.4 | 31 | 3.8 |
| < 6 | 284 | 17.2 | 117 | 14.2 | 167 | 20.2 |
| ≥ 6 | 1366 | 82.8 | 709 | 85.8 | 657 | 79.8 |
| Yes | 811 | 49.2 | 473 | 57.3 | 338 | 41.0 |
| No | 839 | 50.8 | 353 | 42.7 | 486 | 59.0 |
| Student | 824 | 49.9 | 476 | 57.6 | 348 | 42.2 |
| Staying at home/Housewife | 310 | 18.8 | 0 | 0.0 | 310 | 37.6 |
| Unemployed | 253 | 15.3 | 153 | 18.5 | 100 | 12.1 |
| Paid job | 189 | 11.5 | 155 | 18.8 | 34 | 4.1 |
| Self employed | 44 | 2.7 | 36 | 4.4 | 8 | 1.0 |
| Volunteer work | 30 | 1.8 | 6 | 0.7 | 24 | 2.9 |
| Non working (including student) | 1387 | 84.1 | 629 | 76.1 | 758 | 92.0 |
| Working | 263 | 15.9 | 197 | 23.9 | 66 | 8.0 |
| Unmarried | 1532 | 92.8 | 823 | 99.6 | 709 | 86.0 |
| Ever married | 118 | 7.2 | 3 | 0.4 | 115 | 14.0 |
| Permanent | 1131 | 68.5 | 604 | 73.1 | 527 | 64.0 |
| Migrant | 519 | 31.5 | 222 | 26.9 | 297 | 36.0 |
| Extended | 333 | 20.2 | 48 | 5.8 | 285 | 34.6 |
| Nuclear | 1317 | 79.8 | 778 | 94.2 | 539 | 65.4 |
| High to middle | 697 | 42.2 | 364 | 44.1 | 333 | 40.4 |
| Low | 953 | 57.8 | 462 | 55.9 | 491 | 59.6 |
| Yes | 1486 | 90.1 | 714 | 86.4 | 772 | 93.7 |
| No | 164 | 9.9 | 112 | 13.6 | 52 | 6.3 |
| Yes | 361 | 21.9 | 212 | 25.7 | 149 | 18.1 |
| No | 1289 | 78.1 | 614 | 74.3 | 675 | 81.9 |
Suggestions for modes of spread of HIVAIDS among males and females, n = 1,260 (males = 605, females = 655)*
| FACTORS | All | Males | Females | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Sexual contact | 719 | 57.1 | 428 | 70.7 | 291 | 44.4 |
| Re-used syringe | 306 | 24.3 | 48 | 7.9 | 258 | 39.4 |
| HIV/AIDS-positive blood infusion | 195 | 15.5 | 44 | 7.3 | 151 | 23.1 |
| Used blade/razor | 56 | 4.4 | 19 | 3.1 | 37 | 5.6 |
| HIV/AIDS-positive mother to newborn transmission | 40 | 3.2 | 10 | 1.7 | 30 | 4.6 |
| Nose/ear piercing and grafting names on skin | 6 | 0.5 | 0 | 0 | 6 | 0.9 |
| Improperly cleaned operative instruments | 7 | 0.6 | 0 | 0 | 7 | 1.1 |
| Eating with HIV/AIDS-positive patient | 14 | 1.1 | 0 | 0 | 14 | 2.1 |
| Coughing from HIV/AIDS-positive patient | 3 | 0.2 | 1 | 0.2 | 2 | 0.3 |
| Talking to HIV/AIDS-positive patient | 3 | 0.2 | 1 | 0.2 | 2 | 0.3 |
| Shaking hands with HIV/AIDS-positive patient | 9 | 0.7 | 1 | 0.2 | 8 | 1.2 |
| Uncleanliness | 37 | 2.9 | 0 | 0 | 37 | 5.6 |
| Other | 27 | 2.1 | 3 | 0.6 | 24 | 3.7 |
| Don't know | 277 | 22 | 93 | 15.4 | 184 | 28.1 |
* Multiple responses
Suggestions for preventive strategies regarding HIV/AIDS among males and females, n = 1,260 (males = 605, females = 655).*
| FACTORS | All | Males | Females | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Avoiding sex | 462 | 36.7 | 250 | 41.3 | 212 | 32.4 |
| Using new syringe | 159 | 12.6 | 38 | 6.3 | 121 | 18.5 |
| Avoiding extramarital sexual contacts | 131 | 10.4 | 41 | 6.8 | 90 | 13.7 |
| Using screened blood | 92 | 7.3 | 2 | 0.3 | 90 | 13.7 |
| Avoiding used blade/razor for shaving | 46 | 3.7 | 29 | 4.8 | 17 | 2.6 |
| Faithful only to marital partner | 22 | 1.7 | 7 | 1.2 | 15 | 2.3 |
| Avoiding use of items of HIV/AIDS patient | 8 | 0.6 | 1 | 0.2 | 7 | 1.1 |
| Avoiding grafting names on skin | 3 | 0.2 | 0 | 0 | 3 | 0.5 |
| Other | 25 | 2.3 | 5 | 1.3 | 18 | 3.1 |
| Don't know | 477 | 37.9 | 250 | 41.3 | 227 | 34.7 |
* Multiple responses
Figure 1Knowledge level of modes of spread of HIV/AIDS by sex, n = 1,260 (males = 605, females = 655).
Figure 2Knowledge level of preventive strategies for HIV/AIDS by sex, n = 1,260 (males = 605, females = 655).
Figure 3Summarised knowledge variable and distribution by sex, n = 1,260 (males = 605, females = 655).
Association between socio-demographic and psychosocial factors and knowledge of HIV/AIDS.
| 19–21 | 382 | 42 (11.0%) | 1 | 392 | 92 (23.5%) | 1 |
| 17–18 | 223 | 47 (21.1%) | 2.16 (1.37, 3.40) | 263 | 91 (34.6%) | 1.72 (1.22, 2.44) |
| ≥ 6 | 541 | 70 (12.9%) | 1 | 541 | 144 (26.6%) | 1 |
| < 6 | 64 | 19 (29.7%) | 2.84 (1.57, 5.14) | 114 | 39 (34.2%) | 1.43 (0.93, 2.21) |
| Yes | 364 | 51 (14.0%) | 1 | 273 | 65 (23.8%) | 1 |
| No | 241 | 38 (15.8%) | 1.15 (0.73, 1.81) | 382 | 118 (30.9%) | 1.43 (1.01, 2.04) |
| Not working (including students) | 468 | 64 (13.7) | 1 | 602 | 168 (27.9) | 1 |
| Working | 137 | 25 (18.2) | 1.41 (0.85, 2.34) | 53 | 15 (28.3) | 1.02 (0.55, 1.90 |
| Ever married | 3 | 0 (0.0) | - | 94 | 19 (20.2%) | 1 |
| Unmarried | 602 | 89 (14.8) | - | 561 | 164 (29.2%) | 1.63 (0.96, 2.78) |
| Permanent | 455 | 59 (13.0%) | 1 | 418 | 126 (30.1%) | 1 |
| Migrant | 150 | 30 (20.0%) | 1.68 (1.03, 2.72) | 237 | 57 (24.1%) | 0.73 (0.51, 1.06) |
| Extended | 35 | 6 (17.1%) | 1 | 243 | 61 (25.1%) | 1 |
| Nuclear | 570 | 83 (14.6%) | 0.82 (0.33, 2.04) | 412 | 122 (29.6%) | 1.25 (0.88, 1.80) |
| High to middle | 301 | 42 (14.0%) | 1 | 294 | 65 (22.1%) | 1 |
| Low | 304 | 47 (15.5%) | 1.13 (0.72, 1.77) | 361 | 118 (32.7%) | 1.71 (1.20, 2.43) |
| Yes | 546 | 78 (14.3%) | 1 | 610 | 170 (27.9%) | 1 |
| No | 59 | 11 (18.6%) | 1.38 (0.68, 2.76) | 45 | 13 (28.9%) | 1.05 (0.54, 2.05) |
| Yes | 183 | 17 (9.3%) | 1 | 122 | 36 (29.5%) | 1 |
| No | 422 | 72 (17.1%) | 2.00 (1.15, 3.52) | 533 | 147 (27.6%) | 0.91 (0.59, 1.40) |
Odds ratios and 95% confidence intervals, n = 1,260.
Association between selected socio-demographic factors and poor knowledge of HIV/AIDS among males and females, presented as adjusted OR and confidence intervals (95% CI), final models, n = 1,260.
| 19–21 | 1 | 1 |
| 17–18 | 2.20 (1.38, 3.49) | 1.74 (1.22, 2.50) |
| ≥ 6 | 1 | |
| < 6 | 2.46 (1.29, 4.68) | |
| Yes | 1 | |
| No | 1.88 (1.06, 3.34) | |
| Permanent | 1 | |
| Migrant | 1.23 (0.72, 2.10) | |
| High to middle | 1 | |
| Low | 1.54 (1.06, 2.22) | |
| Yes | 1 | |
| No | 1.61 (1.09, 2.39) | |
| Ever married | 1 | |
| Unmarried | 1.85 (1.05, 3.26) | |