Table 3. Linear regression models of the relation between continuous BMI and measures of HIV disease progression^†‡.

Variables	Baseline			18 months			Change over 18 months
	Slope	95% CI	P	Slope	95% CI	P	Slope	95% CI	P
CD4 cell count	0.001	−0.002,0.005	0.469	0.003	−0.002,0.008	0.240	−0.004	−0.010,0.002	0.165
CD4%	−0.036	−0.116,0.043	0.371	0.052	−0.063,0.168	0.374	0.214	0.051,0.376	0.011*
CD8 cell count	<0.001	−0.001,0.011	0.938	0.002	0.000,0.004	0.082	0.001	−0.001,0.002	0.399
CD8%	−0.031	−0.087,0.024	0.270	−0.069	−0.155,0.017	0.116	−0.076	−0.225,0.073	0.371
CD4:CD8 ratio	−0.818	−2.878,1.243	0.435	−3.258	−7.323,0.807	0.115	−0.0673	−2.613,1.266	0.494
HIV viral load	0.007	−0.715,0.728	0.986	0.204	−0.789,1.196	0.686	0.625	−0.609,1.859	0.318

^*Statistically significant (P<0.05).

^†Individual models analysed for each independent variable and adjusted for age, sex, marriage and children.

^‡Dependent variable for baseline analysis included continuous BMI at baseline, dependent variable for 18 months of analysis included continuous BMI at 18 months, and dependent variable for change over 18 months of analysis included continuous BMI at baseline.