TABLE 5.

Time series regression models of changes in nutritional status¹

Dependent variable	Independent (explanatory) variable	Regression coefficient	95% CI	P
BMI (kg/m2)	MM versus placebo	−0.082	−0.285, 0.122	0.43
	Female versus male	3.031	2.049, 4.013	<0.001
	Age <40 y	−2.661	−3.634, −1.688	<0.001
	HIV	−1.172	−1.921, −0.422	0.002
	Hygiene score <5	0.135	0.051, 0.218	0.002
	Initial BMI <18.5	−4.592	−6.011, −3.173	<0.001
Midupper arm circumference (cm)	MM versus placebo	0.0354	−0.287, 0.358	0.83
	Female versus male	1.479	0.667, 2.290	<0.001
	Age <40 y	0.070	0.041, 0.098	<0.001
	HIV	−0.953	−1.685, −0.222	0.01
	Hygiene score <5	0.218	0.099, 0.337	<0.001
	Initial BMI <18.5	−4.395	−5.562, −3.227	<0.001
Fat body mass (kg)	MM versus placebo	0.113	−0.490, 0.716	0.71
	Female versus male	8.147	6.383, 9.911	<0.001
	Age <40 y	0.335	0.273, 0.398	<0.001
	HIV stage	−0.969	−1.795, −0.143	0.02
	Initial BMI <18.5	−5.227	−7.703, −2.750	<0.001
Lean body mass (kg)	MM versus placebo	0.117	−0.584, 0.819	0.74
	Female versus male	−7.989	−9.538, −6.6441	<0.001
	Age <40 y	−0.116	−0.170, −0.063	<0.001
	Hygiene score <5	0.594	0.343, 0.845	<0.001
	Initial BMI <18.5	−5.104	−7.305, −2.903	<0.001
Grip strength (kg)	MM versus placebo	−0.026	−0.751, 0.698	0.943
	Female versus male	−7.020	−8.204, −5.834	<0.001
	Age <40 y	−0.127	−0.169, −0.086	<0.001
	HIV stage	−1.508	−2.280, −0.734	<0.001
	Hygiene score < 5	0.370	0.143, 0.596	<0.001

¹Time series regression models were constructed to analyze the contributions of various factors (including treatment allocation) to time trends in the dependent variables shown. Final regression models are shown for each dependent variable, and treatment allocation is included even when not significant because this was the primary hypothesis being examined. MM, multiple micronutrient.