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. 2018 Jun 20;13(6):e0198898. doi: 10.1371/journal.pone.0198898

Table 2. HIV prevalence among those in-school and out of school, and crude and adjusted odds ratios for the association between current school attendance and HIV prevalence in individual surveys.

Data were weighted to account for individual sampling probabilities. S1 Table presents the adjusted odds ratios and associated confidence intervals for all covariates included in the final adjusted model.

Survey HIV prevalence for those currently in education
% (n/N)
HIV prevalence for those not currently in education
% (n/N)
Crude odds ratio
(95% Confidence interval)
Adjusted odds ratio 1
(95% Confidence interval)
p values for adjusted odds ratios 1
Kenya 2009 2.0(11/573) 5.2(11/216) 0.37(0.15–0.90) 2.08 (0.66–6.62) 0.213
Lesotho 2014 3.7(17/463) 8.3(22/264) 0.42(0.22–0.83) 0.37 (0.17–0.79) 0.011
Malawi 2015 3.0(26/881) 3.8(30/790) 0.77(0.36–1.61) 0.77 (0.37–1.63) 0.497
Mozambique 2009 3.3(31/927) 6.9(44/640) 0.48 (0.28–0.80) 0.50 (0.22–1.13) 0.094
Swaziland 2006 4.6(36/776) 19.6(82/419) 0.20 (0.13–0.30) 0.32 (0.17–0.59) <0.001
Tanzania 2011 1.3(24/2004) 0.7(15/2003) 1.75 (0.81–3.78) 3.17 (1.15–8.70) 0.025
Uganda 2011 1.4(39/2729) 3.9(67/1721) 0.36(0.24–0.53) 0.48 (0.29–0.80) 0.005
Zambia 2013 4.4(80/1834) 5.4(82/1533) 0.81 (0.55–1.19) 0.92 (0.57–1.48) 0.730
Zimbabwe 2015 2.3(24/1057) 5.9(55/946) 0.38 (0.22–0.66) 0.64 (0.31–1.30) 0.214

1 Odds ratios adjusted for the effect of for age, type of residence, birth history, marital status, educational attainment and household wealth index