Table 2.

Linear mixed model output

Predictors	Estimates	LTL CI	p
Intercept	8.541	8.365–8.718	<0.001
Age	−0.022	−0.024–−0.020	<0.001
Sex [M]	−0.153	−0.219–−0.088	<0.001
PGS	0.425	0.206–0.645	<0.001
P. falciparum Incidence	−1.128	−1.807–−0.449	0.002
PC1	5.676	3.940–7.411	<0.001
PC2	−2.012	−3.826–−0.197	0.031
PC3	4.942	2.150–7.734	0.001
PC4	−5.65	−7.892–−3.408	<0.001
PC5	0.627	−1.520–2.774	0.562
PC6	−0.585	−2.331–1.161	0.502
PC7	−0.398	−1.792–0.997	0.576
PC8	0.617	−0.739–1.974	0.372
PC9	0.24	−1.285–1.764	0.756
PC10	0.567	−0.807–1.942	0.418
PC11	1.16	−0.179–2.500	0.09
PC12	0.02	−1.640–1.681	0.981
PC13	1.138	−0.210–2.486	0.098
PC14	−1.215	−2.848–0.419	0.142
PC15	−2.177	−3.807–−0.547	0.01
PC16	1.943	0.326–3.560	0.019
PC17	−0.457	−1.878–0.965	0.528
PC18	0.351	−1.002–1.703	0.611
PC19	0.55	−0.808–1.908	0.427
PC20	2.803	1.279–4.327	<0.001
Random Effects
σ2			0.46
τ00Sampling Site			0.01
ICC			0.02
N Sampling Site			55
Observations			1758
Marginal R2/conditional R2			0.378/0.387

Linear mixed model output for a model containing age, sex, 20 principal components, the LTL PGS, and Plasmodium falciparum malaria incidence as explanatory variables. Sampling site included as a random effect. Malaria has a significant effect on shortening LTL, adjusting for all other covariates.