Table 4. Median CD4 counts in HIV-negative adults and significant determinants of CD4 counts in sub-Saharan Africa.
Country | Reference | Sample size | Both Sexes | Men | Women | Significant determinants |
Ethiopia | Tsegaye [11] | 51 | 660 | |||
Ethiopia | Kassu [9] | 780 | 6821 | 6741 | 749 | Sex, study site |
Ethiopia | Abuye [8] | 1072 | 6951 | 684 | 762 | Sex, BMI, smoking, study site, khat consumption |
Tansania | Ngowi [21] | 102 | 723 | 597 | 765 | Sex |
Botswana | Bussmann [14] | 688 | 726 | 698 | 782 | Sex, diurnal variation |
Ethiopia | Kassa [10] | 734 | 758 | 713 | 806 | Sex, HIV status, hospitalisation |
South Africa | This study | 4993 | 775 | 683 | 833 | Sex, HIV status, ART duration, sample processing delay |
Zambia | Kelly [7] | 172 | 780 | HIV status | ||
Nigeria | Aina [12] | 1291 | 7832 | 8382 | 8181, 2 | pregnancy, alcohol, late marriage |
Tanzania | Urassa [13] | 682 | 7971 | |||
Nigeria | Oladepo [20] | 2570 | 812 | 746 | 892 | Sex, geographic zone |
Malawi | Crampin [49] | 214 | 836 | 765 | 911 | Sex, location, laboratory platform |
Uganda | Lugada [26] | 4593 | 8361 | 7621 | 8971 | Sex |
Uganda | Lovvorn [18] | 193 | 838 | 838 | Country | |
Kenya | Zeh [50] | 160 | 8401 | 811 | 866 | Sex |
Senegal | Mair [17] | 561 | 8711, 2 | 7121, 2 | 9051, 2 | Sex, smoking, high body temperature, late sexual debut |
Malawi | Mandala [16] | 1504 | 901 | |||
Zimbabwe | Lovvorn [18] | 203 | 912 | 912 | Country | |
Tanzania | Levin [51] | 147 | 9802 | |||
Cameroon | Zekeng [23] | 203 | 980 | 951 | 1048 | Sex |
Guinea Bissau | Lisse [6] | 51 | 1000 | |||
Nigeria | Adoga [25] | 1123 | 1030 | 935 | 1121 | Sex |
Burkina Faso | Klose [15] | 186 | 1082 | 979 | 1169 | Sex |
South Africa | Auvert [27] | 930 | 1128 | 1057 | 1180 | |
Uganda | Tugume [22] | 183 | 12562 | 1154 | 1425 | Sex |
South Africa | Lawrie [24] | 719 | N.A. | Sex |
frequency weighted average using subgroups.
mean instead of median.
participants aged 19+.
participants aged 15+.
Abbreviations: N.A. not available.