| Literature DB >> 20807396 |
Babatyi I Malope-Kgokong1, Patrick Macphail, Georgina Mbisa, Edith Ratshikhopha, Mhairi Maskew, Lara Stein, Freddy Sitas, Denise Whitby.
Abstract
BACKGROUND: Factors previously associated with Kaposi's sarcoma-associated herpesvirus (KSHV) transmission in Africa include sexual, familial, and proximity to river water. We measured the seroprevalence of KSHV in relation to HIV, syphilis, and demographic factors among pregnant women attending public antenatal clinics in the Gauteng province of South Africa.Entities:
Year: 2010 PMID: 20807396 PMCID: PMC2941481 DOI: 10.1186/1750-9378-5-14
Source DB: PubMed Journal: Infect Agent Cancer ISSN: 1750-9378 Impact factor: 2.965
Figure 1Map of Gauteng province showing the locations of the ante-natal clinics. Locations of ante-natal clinics from which study participants were recruited are shown according to the embedded legend. Altitude, water features and municipal boundaries are also shown according to the embedded legend.
Lytic and latent KSHV antibody levels and Odds Ratios (OR's) for seropositivity by municipal region, HIV and syphilis status and education
| 26.0(6.2) | 568(32.6) | 0.77(0.31 -1.38) | - | 568(32.6) | 0.40(0.11-0.76) | - | ||
| Soweto | 293 | 24.9(5.8)ab | 76(25.9) | 0.71(0.27-1.29)b | 1 | 79(27.0) | 0.37(0.09-0.73) | 1 |
| Ekurhuleni | 567 | 26.5(6.3)a | 204(36.0) | 0.79(0.30 - 1.46) | 1.7(1.2 - 2.3)* | 195(34.4) | 0.40(0.11-0.77) | 1.5(1.0 - 2.1) |
| Emfuleni | 330 | 25.9(6.3) | 107(32.4) | 0.75(0.32-1.32) | 1.5(1.0 - 2.1)* | 118(35.8) | 0.40(0.13-0.74) | 1.7(1.2 - 2.4)* |
| Tshwane | 207 | 25.8(6.1) | 53(25.6) | 0.71(0.32 -1.21)a | 1.1(0.7 - 1.7) | 52(25.1) | 0.36(0.10-0.68) | 1.0(0.7 - 1.6) |
| West Rand | 343 | 26.4 (6.1)b | 128(37.3) | 0.84(0.37-1.49)ab | 1.6(1.1 - 2.3)* | 124(36.2) | 0.43(0.13-0.82) | 1.5(1.0 - 2.2) * |
| < 2 years | 117 | 28.5 (7.9)a | 46(39.3) | 0.90(1.67-0.35)a | 1 | 47(40.2) | 0.45(0.12-0.90) | 1 |
| 2 - 5 years | 513 | 26.5 (6.8)b | 193(37.6) | 0.82(0.32-1.48)b | 0.8 (0.5 - 1.2) | 176(34.3) | 0.40(0.11-0.85) | 0.6(0.4 - 1.0) |
| 6 - 12 years | 119 | 26.4 (5.6) | 35(29.4) | 0.75(0.30-1.36) | 0.4(0.3 - 0.8)* | 37(31.1) | 0.42(0.14-0.80) | 0.5(0.3 - 0.9) * |
| Post Matric | 959 | 25.4 (5.5)ab | 286(29.8) | 0.73(0.31-1.30)ab | 0.6(0.4 - 0.8)* | 300(31.3) | 0.42(0.11-0.72) | 0.6(0.4 - 0.9) * |
| Negative | 1338 | 26.2 (6.4) | 345(25.8) | 0.70(0.28-1.27) | 1 | 341(25.5) | 0.36(0.09-0.68) | 1 |
| Positive | 402 | 25.3 (5.4) | 223(55.5) | 1.00(0.50-1.69) | 3.7(2.9 - 4.7) * | 227(56.5) | 0.54(0.21-0.98) | 3.8(3.0 - 4.8) * |
| Negative | 1442 | 25.9 (6.2) | 461(32.0) | 0.77(0.31-1.38) | 1 | 454(31.5) | 0.39(0.10-0.75) | 1 |
| Positive | 298 | 26.4 (5.8) | 107(35.9) | 0.79(0.34-1.38) | 1.0 (0.7 - 1.3) | 114(38.3) | 0.43(0.15-0.81) | 1.2 (0.9 - 1.6) |
#μg(SD range) geometric mean and standard deviation range. Means with the same letter are significantly different (p, 0.05). * Statistically significant Odds Ratios.
Factors affecting the odds ratios (OR) for KSHV and HIV in pregnant women attending antenatal public clinics in Gauteng province of South Africa.
| 402(23.1%) | - | - | |||||
| ≤ 20 | 362 | 154 (42.4) | 1 | 1 | 87(24.0%) | 1 | 1 |
| 21 - 25 | 533 | 246 (46.2) | 1.2 (0.9 - 1.5) | 1.2 (0.9 - 1.7) | 136(25.5%) | 1.1 (0.8 - 1.5) | 1.1 (0.7 - 1.5) |
| 26 - 30 | 438 | 192 (43.8) | 1.1 (0.8 - 1.4) | 1.1 (0.8 - 1.5) | 108(24.7%) | 1.0 (0.7 - 1.5) | 1.0 (0.7 - 1.5) |
| ≥ 31 | 407 | 184 (45.2) | 1.1 (0.8 - 1.5) | 1.2 (0.9 - 1.6) | 71(17.4%) | 0.7 (0.4 - 0.9)* | 0.7 (0.5 - 1.0)* |
| Soweto | 293 | 105(35.4) | 1 | 1 | 72(24.6%) | 1 | 1 |
| Ekurhuleni | 567 | 274 (48.3) | 1.6 (1.3 - 2.2)* | 1.8 (1.3 - 2.4) * | 147(25.9%) | 1.0 (0.7 - 1.5) | 1.1 (0.7 - 1.6) |
| Emfuleni | 330 | 152 (46.1) | 1.5 (1.1 - 2.1) * | 1.8 (1.1 - 2.6) * | 63(19.1%) | 0.8 (0.5 - 1.1) | 0.7 (0.5 - 1.1) |
| Tshwane | 207 | 77 (37.2) | 1.1 (0.7 - 1.5) | 1.3 (0.5 - 1.9) | 29(14.0%) | 0.5 (0.3 - 0.8)* | 0.5 (0.3 - 0.8)* |
| West Rand | 343 | 168 (49.0) | 1.7 (1.2 - 2.4) * | 1.7 (1.1 - 2.5) * | 91(22.6%) | 1.1 (0.8 - 1.6) | 1.1 (0.7 - 1.7) |
| < 2 years | 117 | 62 (53.0) | 1 | 1 | 17(14.5%) | 1 | 1 |
| 2- 5 years | 513 | 253 (49.3) | 0.9 (0.6 - 1.3) | 0.7 (0.5 - 1.1) | 119(23.2%) | 1.3 (0.8 - 2.1) | 1.4 (0.8 - 2.6) |
| 6 - 12 years | 119 | 51 (42.9) | 0.7 (0.4 - 1.1) | 0.5 (0.3 - 0.8)* | 31(26.0%) | 1.6 (0.8 - 3.1) | 1.4 (0.7 - 2.8) |
| Post Matric | 959 | 400 (41.7) | 0.6(0.4 - 0.9)* | 0.5 (0.4 - 0.8)* | 228(23.8%) | 1.4 (0.9 - 2.1) | 1.6 (0.9 - 2.8) |
| 1 | 631 | 269 (42.6) | 1 | - | 144(22.8%) | 1 | - |
| 2 | 481 | 223 (46.4) | 1.2 (0.9 - 1.5) | - | 129(26.8%) | 1.2 (1.0 - 1.6)* | - |
| ≥2 | 532 | 246 (46.2) | 1.2 (0.9 - 1.5) | - | 106(28.0%) | 0.8 (0.6 - 1.1) | - |
| 0 | 649 | 279 (43.0) | 1 | - | 149(23.0%) | 1 | - |
| 1 | 487 | 223(45.8) | 1.1 (0.9 - 1.5) | - | 129(26.5%) | 1.2 (0.9 - 1.6) | - |
| > 2 | 506 | 235(46.4) | 1.2 (0.9 - 1.5) | - | 56(20.1%) | 0.9 (0.6 - 1.1) | - |
| North | 279 | 109 (39.1) | 1 | - | 48(17.2%) | 1 | - |
| South | 1461 | 667 (45.6) | 0.8 (0.4 - 1.5) | - | 354(24.2%) | 0.6 (0.4 - 0.9)* | - |
| Non-reactive | 1440 | 621 (43.1) | 1 | 1 | 303(21.0%) | 1 | 1 |
| Reactive | 298 | 154 (51.7) | 1.4 (1.1 - 1.8)* | 1.2 (0.9 - 1.6) | 97(32.5%) | 1.8 (1.4 - 2.4)* | 1.9 (1.4 - 2.5)* |
| 0.0028 | 0.1168 | ||||||
| Negative | 1338 | 496 (37.1) | 1 | 1 | - | - | |
| Positive | 402 | 280 (69.7) | 3.9 (3.1 - 5.0)* | 4.1 (3.1 - 5.2)* | - | - | |
| | |||||||
# Adjusted for age group, education levels, municipal region, syphilis seropositivity and/or HIV status. *Statistically significant Odds Ratios.