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. Author manuscript; available in PMC: 2011 Jul 28.
Published in final edited form as: AIDS. 2011 Jan 2;25(1):95–106. doi: 10.1097/QAD.0b013e328340fe0f

Table 1.

Prevalence and crude marginal odds ratio of HIV/AIDS infection* by baseline characteristics (ZDHS 2001 & 2007).

HIV DHS 2001: 3,949 HIV DHS 2007:11,138
Variables Cases P-value** Marginal OR &
95%CI***
Posterior OR &
95% CI
Cases P-value** Marginal OR
& 95%CI***
Posterior OR &
95% CI
Number 565(14.3) 1596(14.7)
Gender
Male 212(11.7) 1.00 649(12.6) 1.00
Female 353(16.6) <0.001 1.59(1.32, 1.89) 353(16.6) <0.001 1.43(1.43, 1.59)
Place of residence
Urban 290(23.0) 2.73(2.13, 3.28) 934(19.8) 2.35(2.11, 2.63)
Rural 275(10.2) <0.001 1.00 662(10.8) <0.001 1.00
Age at diagnosis
<24 years 122(7.5) See figure 3a 299(6.9) See figure 3a
25 & 35 years 273(21.2) 728(19.6)
36 &49 years 159(17.7) 518(21.2)
50 & 59 years 11(8.0) <0.001 51(12.6) <0.001
Region of residence***
Central(4)(2) 85(15.1) 2.06(1.42, 2.99) 1.22(0.97, 1.55) 177(18.4) 2.39(1.85, 3.10) 1.39(1.06, 1.82)
Copperbelt(2)(4) 99(19.8) 2.87(1.99,4.13) 1.02(0.74, 1.43) 196(16.7) 2.13(1.65, 2.74) 0.99(0.73, 1.31)
Eastern(5)(7) 53(13.6) 1.83(1.21, 2.76) 1.11(0.84, 1.43) 180(11.8) 1.42(1.10, 1.83) 0.91(0.68, 1.13)
Luapula(7)(6) 37(11.1) 1.45(0.92, 2.27) 0.86(0.61, 1.17) 155(14.5) 1.80(1.38, 2.34) 1.03(0.83, 1.28)
Lusaka(1)(1) 95(22.1) 3.29(2.27, 4.76) 1.09(0.78, 1.41) 297(19.8) 2.62(2.06, 3.32) 1.29(0.99, 1.56)
Northern(9)(9) 49(7.9) 1.00 0.69(0.52, 0.87) 104(8.6) 1.00 0.61(0.46, 0.81)
North-western(8)(8) 41(9.3) 1.18(0.77, 1.82) 0.81(0.60, 1.03) 87(8.6) 1.01(0.75, 1.35) 0.61(0.44, 0.85)
Southern(3)(5) 69(17.3) 2.43(1.64, 3.59) 1.33(1.06, 1.91) 202(15.9) 2.01(1.56, 2.58) 1.25(0.90, 1.60)
Western(6)(3) 37(13.4) <0.001 1.79(1.14, 2.81) 1.13(0.82, 1.57) 198(17.3) <0.001 2.23(1.73, 2.87) 1.34(1.01, 1.78)
*

Data are expressed as number (percentages) of cases that are HIV positive.

**

P-value comparison across HIV positive and negative cases using the chi-squared test for categorical variables.

***

Crude unadjusted marginal odds ratio (OR) obtained from the standard logistic regression model and ranked from the highest to the lowest OR. The Northern province is taken as reference because its low HIV prevalence in both surveys.

Rank of marginal OR in 2001: Lusaka(1), Copperbelt(2), Southern(3), Central(4), Eastern(5), Western(6), Luapula(7), Northwestern(8), Northern(9).

Rank of marginal OR in 2007: Lusaka(1), Central(2), Western(3), Copperbelt(4), Southern(5), Luapula(6), Eastern(7), Northwestern(8), Northern(9).

Spatially adjusted posterior odds ratio (OR) obtained from the Bayesian geo-additive regression model after controlling for nonlinear effect of age, categorical variables and the province of residence (spatial effects).