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. 2018 Dec 5;9:51. doi: 10.1186/s13293-018-0210-x

Table 5.

Regression analysis to assess the presence of NCP/MP according to FIB

Model Variables Men Women
OR (95% CI) P OR (95% CI) P
Model 1 FIB 1.491 (0.980–2.269) 0.062 3.206 (1.625–6.326) 0.001
FIB tertiles
Tertile 1 1 1
Tertile 2 0.672 (0.339–1.331) 0.255 2.555 (0.800–8.159) 0.113
Tertile 3 1.226 (0.627–2.399) 0.551 8.337 (2.723–25.521) < 0.001
Model 2 FIB 1.416 (0.854–2.347) 0.178 2.557 (1.164–5.617) 0.019
FIB tertiles
Tertile 1 1 1
Tertile 2 0.626 (0.304–1.288) 0.203 2.386 (0.723–7.878) 0.153
Tertile 3 0.986 (0.463–2.101) 0.970 5.823 (1.696–19.994) 0.005
Model 3 FIB 1.416 (0.843–2.369) 0.189 3.677 (1.539–8.785) 0.003
FIB tertiles
Tertile 1 1 1
Tertile 2 0.654 (0.312–1.370) 0.260 2.885 (0.797–10.439) 0.106
Tertile 3 1.004 (0.465–2.169) 0.992 8.531 (2.153–33.802) 0.002

Model 1 unadjusted

Model 2 adjusted for dyslipidemia, hsCRP (P < 0.05 in univariate analysis)

Model 3 adjusted for dyslipidemia, diabetes, statins, beta-blocker and hsCRP (P < 0.1 in univariate analysis)