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. 2019 Mar 15;8(3):365. doi: 10.3390/jcm8030365

Table 7.

Multiple regression models of serum triglycerides predicting changes in peripheral blood leukocyte counts between men and women in NHANES 1999–2004.

Men Women
Cell Count Model β SE % Δ p β SE % Δ p
Lymphocytes unadjusted 0.097 0.012 0.9 <0.0001 0.135 0.014 1.3 <0.0001
adjusted 0.112 0.013 1.1 <0.0001 0.145 0.015 1.4 <0.0001
Monocytes unadjusted 0.025 0.013 0.2 0.06 0.100 0.017 1.0 <0.0001
adjusted 0.000 0.014 0.0 1.00 0.067 0.019 0.6 <0.001
Neutrophils unadjusted 0.123 0.018 1.2 <0.0001 0.161 0.017 1.6 <0.0001
adjusted 0.075 0.020 0.7 <0.001 0.124 0.020 1.2 <0.0001
Eosinophils unadjusted 0.016 0.006 0.2 <0.05 0.012 0.005 0.1 <0.05
adjusted 0.010 0.006 0.1 0.10 0.006 0.005 0.1 0.21
Basophils unadjusted 0.010 0.002 0.1 <0.0001 0.013 0.002 0.1 <0.0001
adjusted 0.008 0.002 0.1 <0.01 0.011 0.002 0.1 <0.0001

β: slope; SE: standard error; p: p-value. % Δ = the predicted % change in blood leukocyte count (103 cells/μL) for a 10% increase in LDL-C level (mg/dL). Adjusted model is adjusted for age, serum cotinine, BMI, waist circumference, race/ethnicity, education, statin use, and survey cycle. To best approximate linearity, both predictor and outcome were log transformed (base e); thus slope and standard errors are on log scale.