| Literature DB >> 26727935 |
Simon Peter Sebina Kibira1,2, Ingvild Fossgard Sandøy3, Marguerite Daniel4, Lynn Muhimbuura Atuyambe5, Fredrick Edward Makumbi6.
Abstract
BACKGROUND: Although male circumcision reduces the heterosexual HIV transmission risk, its effect may be attenuated if circumcised men increase sexual risk behaviours (SRB) due to perceived low risk. In Uganda information about the protective effects of circumcision has been publicly disseminated since 2007. If increased awareness of the protection increases SRB among circumcised men, it is likely that differences in prevalence of SRB among circumcised versus uncircumcised men will change over time. This study aimed at comparing SRBs and HIV sero-status of circumcised and uncircumcised men before and after the launch of the safe male circumcision programme.Entities:
Mesh:
Year: 2016 PMID: 26727935 PMCID: PMC4700673 DOI: 10.1186/s12889-015-2668-3
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of circumcised and uncircumcised men 15–59 years, Uganda 2004 and 2011
| Variables | 2004 UAIS, n (%) | 2011 UAIS, n (%) | ||||
|---|---|---|---|---|---|---|
| Circumcised | Uncircumcised | All men | Circumcised | Uncircumcised | All men | |
| Age | ||||||
| 15–24 | 492 (27.4) | 1,318 (25.8) | 1,809 (26.2) | 610 (27.4) | 1,331 (23.2) | 1,941 (24.4) |
| 25–34 | 549 (30.6) | 1,664 (32.6) | 2,213 (32.1) | 708 (31.8) | 1,751 (30.5) | 2,460 (30.9) |
| 35–44 | 434 (24.2) | 1,162 (22.7) | 1,596 (23.1) | 508 (22.8) | 1,492 (26.0) | 2,000 (25.1) |
| 45–59 | 317 (17.7) | 970 (19.0) | 1,288 (18.6) | 402 (18.0) | 1,166 (20.3) | 1,568 (19.7) |
| Marital status | ||||||
| Never married | 418 (23.3) | 1,170 (22.9) | 1,589 (23.0) | 523 (23.5) | 1,127 (19.6) | 1,649 (20.7) |
| Married | 1,183 (66.0) | 3,438 (67.2) | 4,621 (66.9) | 1,534 (68.9) | 4,176 (72.7) | 5,710 (71.7) |
| Divorced/Widowed | 191 (10.6) | 506 (9.9) | 696 (10.1) | 171 (7.7) | 438 (7.6) | 609 (7.7) |
| Residence | ||||||
| Urban | 352 (19.6) | 605 (11.8) | 957 (13.9) | 604 (27.1) | 916 (16.0) | 1,520 (19.1) |
| Rural | 1,440 (80.4) | 4,509 (88.2) | 5,949 (86.2) | 1,624 (72.9) | 4,825 (84.1) | 6,449 (80.9) |
| Region | ||||||
| Central | 468 (26.1) | 1,213 (23.7) | 1,681 (24.4) | 491 (22.0) | 1,293 (22.5) | 1,784 (22.4) |
| Kampala | 332 (18.6) | 645 (12.6) | 978 (14.2) | 215 (9.7) | 353 (6.2) | 568 (7.1) |
| Eastern | 465 (25.9) | 817 (16.0) | 1,282 (18.6) | 882 (39.6) | 819 (14.3) | 1,701 (21.4) |
| Northern | 458 (25.6) | 1,712 (33.5) | 2,171 (31.4) | 201 (9.0) | 1,798 (31.3) | 1,999 (25.1) |
| Western | 69 (3.8) | 725 (14.2) | 794 (11.5) | 439 (19.7) | 1,477 (25.7) | 1,916 (24.1) |
| Highest Education Level | ||||||
| No Education | 164 (9.1) | 529 (10.4) | 693 (10.1) | 143 (6.4) | 427 (7.4) | 570 (7.2) |
| Primary | 1,058 (59.1) | 3,167 (62.0) | 4,225 (61.3) | 1,166 (52.3) | 3,360 (58.5) | 4,526 (56.8) |
| Secondary | 442 (24.7) | 1,066 (20.9) | 1,509 (21.9) | 697 (31.3) | 1,458 (25.4) | 2,155 (27.0) |
| Tertiary | 125 (7.0) | 342 (6.7) | 468 (6.8) | 222 (10.0) | 496 (8.6) | 718 (9.0) |
| Wealth level | ||||||
| Low | 496 (27.7) | 1,999 (39.1) | 2,495 (36.1) | 654 (29.4) | 2,297 (40.0) | 2,952 (37.0) |
| Middle | 347 (19.4) | 1,012 (19.8) | 1,359 (19.7) | 428 (19.2) | 1,103 (19.2) | 1,531 (19.2) |
| High | 949 (52.9) | 2,103 (41.1) | 3,052 (44.2) | 1,146 (51.4) | 2,341 (40.8) | 3,486 (43.8) |
| Ethnicity | ||||||
| Baganda | 357 (19.9) | 785 (15.4) | 1,142 (16.6) | 400 (18.0) | 921 (16.1) | 1,321 (16.6) |
| Banyakore | 68 (3.8) | 606 (11.9) | 674 (9.8) | 109 (4.9) | 685 (11.9) | 793 (10.0) |
| Iteso/Karimojong | 47 (2.6) | 621 (12.2) | 668 (9.7) | 64 (2.9) | 667 (11.6) | 730 (9.2) |
| Lugbara/Madi | 184 (10.3) | 292 (5.7) | 477 (6.9) | 113 (5.1) | 282 (4.9) | 396 (5.0) |
| Basoga | 217 (12.1) | 416 (8.1) | 632 (9.2) | 314 (14.1) | 401 (7.0) | 716 (9.0) |
| Langi/Acholi | 21 (1.2) | 765 (15.0) | 786 (11.4) | 19 (0.9) | 877 (15.3) | 896 (11.2) |
| Bakiga/Bafumbira | 45 (2.5) | 434 (8.5) | 479 (7.0) | 66 (2.9) | 526 (9.2) | 592 (7.4) |
| Bagisu/Sabiny/Bakonzo | 395 (22.0) | 54 (1.1) | 449 (6.5) | 646 (29.0) | 34 (0.6) | 680 (8.5) |
| Alur/Japadhola | 76 (4.2) | 321 (6.3) | 397 (5.8) | 73 (3.3) | 315 (5.5) | 387 (4.9) |
| Banyoro/Batooro | 81 (4.5) | 323 (6.3) | 404 (5.9) | 164 (7.4) | 516 (9.0) | 680 (8.5) |
| Others | 300 (16.8) | 488 (9.6) | 788 (11.4) | 261 (11.7) | 516 (9.0) | 777 (9.8) |
| Religion | ||||||
| Non Moslem | 931 (52.0) | 5,085 (99.8) | 6,016 (87.4) | 1,202 (54.0) | 5,729 (99.8) | 6,931 (87.0) |
| Moslem | 858 (48.0) | 12 (0.2) | 870 (12.6) | 1,026 (46.1) | 12 (0.2) | 1,038 (13.0) |
| Perceived HIV risk | ||||||
| Low risk | 743 (33.4) | 1,721 (30.0) | 2465 (30.9) | |||
| High risk/not sure | 1,431 (64.2) | 3,772 (65.7) | 5202 (65.3) | |||
| Missing | 54 (2.4) | 248 (4.3) | 302 (3.8) | |||
| Knows circumcision Reduces HIV risk | ||||||
| No | 826 (37.1) | 3,029 (52.8) | 3855 (48.4) | |||
| Yes | 1,389 (62.4) | 2,634 (45.9) | 4023 (50.5) | |||
| Missing | 13 (0.6) | 78 (1.4) | 91 (1.1) | |||
| HIV sero-status | ||||||
| Negative | 1,716 (95.7) | 4,767 (93.2) | 6,482 (93.9) | 2,120 (95.2) | 5,296 (92.3) | 7,416 (93.1) |
| Positive | 76 (4.3) | 347 (6.8) | 424 (6.1) | 108 (4.8) | 445 (7.8) | 553 (6.9) |
| Total | 1,792 (100) | 5,114 (100) | 6,906 (100) | 2,228 (100) | 5,741 (100) | 7,969 (100) |
Prevalence of Sexual risk behaviours among circumcised and uncircumcised men, Uganda 2004 and 2011
| Variables | 2004 UAIS, n (%) | 2011 UAIS, n (%) | ||||
|---|---|---|---|---|---|---|
| Circumcised | Uncircumcised | All men | Circumcised | Uncircumcised | All men | |
| Had multiple sexual partners | ||||||
| No | 1,201 (67.0) | 3,996 (78.1) | 5,196 (75.2) | 1,615 (72.5) | 4,572 (79.7) | 6,187 (77.6) |
| Yes | 592 (33.0) | 1,118 (21.9) | 1,710 (24.8) | 613 (27.5) | 1,168 (20.4) | 1,781 (22.4) |
| Total | 1,792 (100) | 5,114 (100) | 6,906 (100) | 2,228 (100) | 5,741 (100) | 7,969 (100) |
| Had transactional sex | ||||||
| No | 1,761 (98.2) | 5,063 (99.0) | 6,824 (98.8) | 2,154 (96.7) | 5,601 (97.6) | 7,755 (97.3) |
| Yes | 31 (1.8) | 51 (1.0) | 82 (1.2) | 74 (3.3) | 139 (2.4) | 214 (2.7) |
| Total | 1,792 (100) | 5,114 (100) | 6,906 (100) | 2,228 (100) | 5,741 (100) | 7,969 (100) |
| Sex with a non-marital partner | ||||||
| No | 926 (59.3) | 2,951 (67.8) | 3,878 (65.5) | 1,229 (61.6) | 3,569 (69.8) | 4,798 (67.5) |
| Yes | 636 (40.7) | 1,404 (32.2) | 2,040 (34.5) | 768 (38.5) | 1,547 (30.2) | 2,315 (32.6) |
| Total | 1,562 (100) | 4,355 (100) | 5,918 (100) | 1,997 (100) | 5,116 (100) | 7,114 (100) |
| Used a condom at last non marital sex | ||||||
| No | 290 (45.6) | 692 (49.3) | 983 (48.2) | 448 (58.4) | 819 (52.9) | 1,267 (54.7) |
| Yes | 346 (54.4) | 711 (50.7) | 1,057 (51.8) | 320 (41.6) | 728 (47.1) | 1,048 (45.3) |
| Total | 636 (100) | 1,404 (100) | 2,040 (100) | 768 (100) | 1,547 (100) | 2,315 (100) |
Generalised linear models showing unadjusted and adjusted associations between sexual risk behaviours and circumcision status among men age 15–59 years, Uganda 2004 and 2011
| Had multiple sexual partners in last 12 months, PR [95 % CI] | Had sex with non-marital partner in last 12 months, PR [95 % CI] | Used a condom at last non marital sex, PR [95 % CI] | Transactional sex in last 12 months, PR [95 % CI] | |||||
|---|---|---|---|---|---|---|---|---|
| 2004 | 2011 | 2004 | 2011 | 2004 | 2011 | 2004 | 2011 | |
| Unadjusted: Circumcised | ||||||||
| No | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Yes | 1.51* [1.38,1.65] | 1.35* [1.23,1.49] | 1.26* [1.17,1.37] | 1.27* [1.17,1.38] | 1.07 [0.98,1.18] | 0.88* [0.79,0.99] | 1.72 [1.06,2.81] | 1.36 [0.99,1.88] |
| Adjusteda: Circumcised | ||||||||
| No | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Yes | 1.38* [1.26,1.51] | 1.23* [1.11,1.36] | 1.12* [1.06,1.20] | 1.05 [0.99,1.13] | 1.00 [0.92,1.10] | 0.85* [0.76,0.96] | 1.56 [0.92,2.62] | 1.23 [0.85,1.76] |
| Number of men | 6886 | 7857 | 5919 | 6996 | 1945 | 2233 | 6886 | 7857 |
aAdjusted for highest education level, Age, Marital status, Survey region, Residence, and Wealth status
*p < 0.05
Models of the associations between sexual risk behaviours and circumcision status with combined data from the 2004 and 2011 UAIS
| Had multiple sexual partners in last 12 months | Used a condom at last non marital sex | |||
|---|---|---|---|---|
| Unadjusted, | Adjusted, | Unadjusted, | Adjusted, | |
| PR [95 % CI] | PR [95 % CI] | PR [95 % CI] | PR [95 % CI] | |
| Circumciseda | ||||
| No | 1.0 | 1.0 | 1.0 | 1.0 |
| Yes | 1.51* [1.37,1.66] | 1.42* [1.29,1.56] | 1.07 [0.96,1.20] | 1.02 [0.93,1.12] |
| Survey | ||||
| 2004 UAIS | 1.0 | 1.0 | 1.0 | 1.0 |
| 2011 UAIS | 0.93 [0.84,1.03] | 0.92 [0.83,1.02] | 0.93 [0.84,1.03] | 0.99 [0.91,1.07] |
| Interaction term (circumcision and survey) | 0.90 [0.77,1.04] | 0.89 [0.77,1.03] | 0.82* [0.70,0.97] | 0.81* [0.71,0.93] |
| Number of men | 14757 | 14743 | 4181 | 4178 |
aAdjusted for highest education level, Age, Marital status, Survey region, Residence, and Wealth status
*p < 0.05
Generalised linear models showing unadjusted and adjusted associations between circumcision status and HIV test results among circumcised and uncircumcised men age 15–59 years, Uganda 2004 and 2011
| (1) | (2) | (3) | (4) | (5) | (6) | |
|---|---|---|---|---|---|---|
| Unadjusted: Tested HIV positive, 2004 PR (95 % CI) | Unadjusted: Tested HIV positive, 2011 PR (95 % CI) | Adjusted for background characteristicsa: Tested HIV positive, 2004 PR (95 % CI) | Adjusted for background characteristicsa: Tested HIV positive, 2011 PR (95 % CI) | Adjusted for background characteristics and sexual risk behavioursb: Tested HIV positive, 2004 PR (95 % CI) | Adjusted for background characteristics and sexual risk behavioursb: Tested HIV positive, 2011 PR (95 % CI) | |
| Circumcised | ||||||
| No | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Yes | 0.63* [0.48,0.82] | 0.62* [0.49,0.80] | 0.57* [0.44,0.75] | 0.66* [0.51,0.84] | 0.55* [0.41,0.73] | 0.64* [0.49,0.83] |
| Number of men | 6900 | 7857 | 6886 | 7857 | 5919 | 6996 |
aAdjusted for highest education level, Age, Marital status, Survey region, Residence, and Wealth status
bAdjusted for highest education level, Age, Marital status, Survey region, Residence, and Wealth status, Multiple sexual partners, Sex with a non-marital partner, Transactional sex
*p < 0.05