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. 2022 Dec 9;19:62. doi: 10.1186/s12979-022-00322-8

Table 2.

Association of baseline leukocyte mitochondrial DNA copy number with high-sensitivity C-reactive protein trajectorya

Model Model 1 Model 2
Variable Effectsb 95% CI P Effectsb 95% CI P
Intercept 0.01 -0.02 to 0.04 .688 -2.44 -2.88 to -2.00  < .001
Mitochondrial DNA copy number -0.06 -0.09 to -0.03  < .001 -0.05 -0.08 to -0.02 .002
Age 0.01 0.01 to 0.01  < .001
Sex
 Women (Reference)
 Men -0.25 -.033 to -0.18  < .001
Smoking
 Never (Reference)
 Former smoker 0.17 0.07 to 0.27  < .001
 Current smoker 0.28 0.17 to 0.38  < .001
BMI 0.06 0.05 to 0.07  < .001
Serum triglycerides 0.001 0.001 to 0.002  < .001
Serum high-density lipoprotein cholesterol -0.004 -0.007 to -0.002  < .001
Serum low-density lipoprotein cholesterol 0.004 0.003 to 0.005  < .001
Hypertension 0.02 -0.04 to 0.09 .74
Chronic kidney disease 0.09 -0.001 to 0.181 .052
Time 0.08 0.07 to 0.09  < .001 0.03 0.01 to 0.05  < .001
Mitochondrial DNA copy number x time -0.0001 -0.0091 to 0.0090 .990 Not included
Sex x time
 Women (Reference)
 Men 0.03 0.01 to 0.05 .001
Education x time
 Illiteracy 0.08 0.05 to 0.12  < .001
 Elementary school 0.04 0.02 to 0.06  < .001
 Junior high school 0.04 0.01 to 0.07 .011
 ≥ High school (Reference)
Chronic kidney disease x time 0.05 0.02 to 0.08 .001

aThe results of the longitudinal part of the joint analysis, in which the association between the baseline leukocyte mitochondrial DNA copy number and the serum high-sensitivity C-reactive protein levels (both of which were natural log-transformed and standardized) was modeled using linear mixed regression with adjustment for other model variables

bChange in high-sensitivity C-reactive protein levels (in 1 standard deviation)