Table 3. Linear regression analysis for the absolute numbers of different immune cell subsets.

Leukocyte subsets	Predicting variable	p-value	β coefficient	R2 model
Lymphocytes	CMV status	0.869	0.015	0.072
	Gender	0.046*	−0.176
	Gender*CMV	0.227	−0.129
	Age	0.375	0.055
T cell	CMV status	0.928	−0.008	0.108
	Gender	0.016*	−0.209
	Gender*CMV	0.124	−0.162
	Age	0.422	0.049
CD4 T cell	CMV status	0.580	−0.049	0.153
	Gender	0.015*	−0.206
	Gender*CMV	0.029*	−0.223
	Age	0.452	0.044
CD4 naive	CMV status	0.048*	−0.178	0.121
	Gender	0.002*	−0.272
	Gender*CMV	0.652	−0.047
	Age	0.547	0.036
CD4 CM T cell	CMV status	0.820	0.021	0.102
	Gender	0.801	0.022
	Gender*CMV	0.001*	−0.342
	Age	0.855	0.011
CD4 TemRO	CMV status	0.135	0.138	0.074
	Gender	0.237	−0.104
	Gender*CMV	0.032*	−0.230
	Age	0.801	0.016
CD4 TemRO late	CMV status	0.000*	0.585	0.305
	Gender	0.612	0.039
	Gender*CMV	0.586	−0.050
	Age	0.732	−0.018
CD4 TemRA	CMV status	0.444	0.070	0.083
	Gender	0.003*	−0.263
	Gender*CMV	0.858	−0.019
	Age	0.555	0.036
CD4 TemRA late	CMV status	0.000*	0.430	0.260
	Gender	0.044*	−0.161
	Gender*CMV	0.403	0.080
	Age	0.485	0.039
TFH	CMV status	0.342	0.089	0.053
	Gender	0.479	−0.063
	Gender*CMV	0.045*	−0.217
	Age	0.518	0.040
CD8 T-cell	CMV status	0.440	0.072	0.038
	Gender	0.057	−0.171
	Gender*CMV	0.940	−0.008
	Age	0.766	−0.019
CD8 naive	CMV status	0.310	−0.089	0.169
	Gender	0.000*	−0.340
	Gender*CMV	0.870	−0.017
	Age	0.001*	−0.196
CD8 CM T cell	CMV status	0.656	−0.041	0.070
	Gender	0.908	0.010
	Gender*CMV	0.029*	−0.235
	Age	0.254	0.071
CD8 TemRO	CMV status	0.110	0.152	0.015
	Gender	0.545	0.055
	Gender*CMV	0.114	−0.175
	Age	0.712	0.023
CD8 TemRO late	CMV status	0.000*	0.585	0.305
	Gender	0.612	0.039
	Gender*CMV	0.586	−0.050
	Age	0.732	−0.018
CD8 TemRA	CMV status	0.025*	0.206	0.089
	Gender	0.097	−0.145
	Gender*CMV	0.350	0.099
	Age	0.622	0.030
CD8 TemRA late	CMV status	0.000*	0.412	0.259
	Gender	0.132	−0.119
	Gender*CMV	0.183	0.128
	Age	0.388	0.048

Linear (Enter) regression was performed on log-transformed data by using the variables CMV status (0 = seronegative, 1 = seropositive), Gender (0 = female, 1 = male), Gender* CMV status, and Age (years). Bold numbers indicate significant differences within one subset. *p < 0.05. After a multiple testing correction only values with p < 0.0014 are considered significant, which are underlined. The p-value indicates the association with the absolute number of immune cells, the β coefficient indicates the strength of the association, and the R2 explains the strength of the model in predicting the absolute number of immune cells.