Research Article

Prevalence of Hypogonadism and Associated Risk Factors among Newly Diagnosed ART Naïve HIV-Infected Males in Mwanza, Tanzania

Table 3

Factors associated with hypogonadism among newly diagnosed ART naïve HIV-infected adult males.

Factor/variableHypogonadismUnivariateMultivariate
Yes n(%)No n(%)OR (95% CI) valueOR (95% CI) value

Age (years)
 18–3023 (41.8)32 (58.2)1.01.0
 31–4595 (41.7)133 (58.3)1.0 (0.5–1.8)0.9840.8 (0.5–1.6)0.598
 >4668 (64.8)37 (35.2)2.6 (1.3 5.0)0.0062.3 (1.1–4.6)0.023
BMI
 18.5–24.9131 (47.3)146 (52.7)1.01.0
 <18.532 (57.1)24 (42.9)1.5 (0.8–2.7)0.1801.1 (0.6–2.0)0.819
 25–29.921 (41.2)30 (58 0.8)0.8 (0.4–1.4)0.4220.8 (0.4–1.6)0.515
 ≥30 92 (50.0)2 (50.0)1.1 (0.2–8.0)0.9141.7 (0.2–13.6)0.607
Waist circumference
 81–9381 (50.0)81 (50.0)1.0
 <8196 (44.9)118 (55.1)0.8 (0.5–1.2)0.323
 94–1159 (75.0)3 (25.0)3.0 (0.8–11.5)0.109
Marital status
 Married121 (49.0)126 (51.0)1.0
 Single39 (45.4)47 (54.6)0.9 (0.5–1.4)0.561
 Divorced26 (47.3)29 (52.7)0.9 (0.5–1.7)0.818
Herbal medicine use
 No104 (40.0)156 (60.0)1.01.0
 Yes82 (64.1)46 (35.9)2.7 (1.7–4.1)<0.0012.4 (1.5–3.9)<0.001
CD4+ count
 >35041 (36.9)70 (63.1)1.0
 <20043 (53.7)37 (46.3)2.0 (1.1–3.6)0.022
 200–35042 (49.4)43 (50.6)1.7 (0.9–3.0)0.081
Clinical stage
 Stage 197 (39.4)149 (60.6)1.01.0
 Stage 230 (51.7)28 (48.3)1.6 (0.9–2.9)0.0891.7 (0.9–3.1)0.081
 Stage 344 (71.0)18 (29.0)3.8 (2.1–6.9)<0.0012.7 (1.4–5.2)0.003
 Stage 415 (68.2)7 (31.8)3.3 (1.3–8.4)0.0122.5 (0.9–6.6)0.072
Decrease libido
 No93 (54.4)124 (45.6)1.0
 Yes93 (42.9)78 (57.1)1.6 (1.1–2.4)0.024
Erectile dysfunction
 No155 (47.1)174 (52.9)1.0
 Yes31 (52.5)28 (47.5)1.2 (0.7–2.2)0.443
Depression
 No111 (47.4)123 (52.6)1.0
 Yes75 (48.7)79 (51.3)1.1 (0.7–1.6)0.807
Weight loss
 No39 (36.4)68 (63.6)1.01.0
 Yes147 (52.3)134 (47.7)1.9 (1.2–3.0)0.0061.8 (1.1–3.0)0.016
Fatigue
 No41 (45.1)50 (54.9)1.0
 Yes152 (51.2)145 (48.8)1.2 (0.7–1.9)0.529
Breast enlargement
 No184 (47.8)201 (52.2)1.0
 Yes2 (66.7)1 (33.3)2.2 (0.2–24.3)0.525

These factors were not subjected to multivariate logistic regression analysis because of collinearity with WHO clinical stage and age, respectively (N = 388).