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. 2013 Aug 23;8(8):e71498. doi: 10.1371/journal.pone.0071498

Table 3. Regression models for CD4+ naive and memory cell subpopulations.

Variable (increment) %Naive %Memory
β Coef. P value β Coef. P value
Age (10 yr. increase) −1.25 <0.05 −0.47 ns
Gender (male vs. female) −4.2 <0.0001 2.81 <0.05
Race/Ethnicity(vs. European-American)
Chinese-American 1.91 ns 1.11 ns
African-American −1.97 ns 2.61 ns
Hispanic-American −1.69 ns 4.33 <0.005
Season (vs. Winter)
Spring 2.11 ns 0.01 ns
Summer 4.07 <0.05 3.26 ns
Fall 7.21 <0.0001 0.76 ns
BMI (5.6 kg/m2) −1.26 <0.05 0.54 ns
IL-6 (1.2 pg/ml) −1.49 <0.05 2.26 <0.0001
CMV (vs. 0.0 EU/ml)
0.1 – 99.9 EU/ml −2.91 <0.05 4.71 <0.005
100 – 199.9 EU/ml −6.15 <0.0001 8.11 <0.0001
200 – 299.9 EU/ml −7.05 <0.005 7.29 <0.005
H. pylori (vs. <0.9)
0.9–6.9 −3.44 <0.005 2.68 <0.05
6.9–13.9 −6.60 <0.05 3.99 <0.05
Model R2 0.15 0.12

Backward elimination regression was used to develop multivariate models for CD4+ T cell subpopulations. Independent variables were divided by their standard deviations (shown in parentheses). Age, gender, race/ethnicity, seasonality, BMI, IL-6, and CMV and H. pylori titers were included as the candidate starting variables. Only significant variables (p<0.05) were retained in the final models. BMI: Body mass index; CMV: Cytomegalovirus; IL-6: Interleukin-6; ns: non-significant.