Hypertension, kidney disease, HIV and antiretroviral therapy among Tanzanian adults: a cross-sectional study

Table 4 Multivariable logistic regression models for association between HIV status and hypertension to assess for confounding

Model	Controls (number = 153)	HIV-infected, ART naive	P-value versus control	HIV-infected, on ART	P-value versus control	Likelihood ratio test (compared to unadjusted model)
Model	Controls (number = 153)	(number = 151)	P-value versus control	(number = 150)	P-value versus control	Likelihood ratio test (compared to unadjusted model)
1) Unadjusted	1	0.28 [0.12 to 0.66]	0.003	2.06 [1.18 to 3.59]	0.01	0
2) Adjusted for age + sex	1	0.32 [0.14 to 0.75]	0.009	2.13 [1.18 to 3.85]	0.01	21.7, 2 d.f.
3) Adjusted for age + sex + body mass index (BMI)	1	0.34 [0.14 to 0.79]	0.01	2.04 [1.12 to 3.67]	0.02	25.7, 3 d.f.
4) Adjusted for age + sex + waist-hip ratio (WHR)	1	0.31 [0.13 to 0.73]	0.007	2.04 [1.12 to 3.71]	0.02	22.2, 3 d.f.
5) Adjusted for age + sex + BMI + vigorous work + alcohol	1	0.35 [0.15 to 0.84]	0.02	2.19 [1.18 to 4.05]	0.01	37.7, 5 d.f. ^a
6) Adjusted for age + sex + WHR + vigorous work + alcohol	1	0.32 [0.14 to 0.77]	0.01	2.19 [1.17 to 4.10]	0.01	35.4, 5 d.f.

^aBest fit model. All models are comparing to HIV-negative controls. Models 1, 2, 3 and 4 were predetermined based on most likely confounders. Models 5 + 6 included other baseline characteristics significantly associated with hypertension in the minimally-adjusted model. ART, antiretroviral therapy.

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