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. 2022 Aug 12;16:975217. doi: 10.3389/fnins.2022.975217

TABLE 3.

Univariate and mutivairate logistic regression analysis.

Variables Univariate regression
P-value Mutivairate regression
P-value
Odd Ratio, 95% CI Odd ratio, 95% CI
Heart disease 1.867, 0.917–3.799 0.085
Diabetes 1.550, 0.754–3.188 0.233
Hyperlipidemia 1.188, 0.565–2.497 0.650
Age 1.052, 1.013–1.094 0.009 1.055, 1.017–1.094 0.004
Waist 1.015, 0.984–1.046 0.347
SDP 1.003, 0.987–1.020 0.692
HbA1c 1.037, 0.821–1.310 0.759
TG 1.251, 0.916–1.707 0.159
LDL-c 1.352, 0.964–1.895 0.080
HCY 1.033, 1.015–1.051 <0.001 1.029, 1.012–1.047 0.001
Mobile MRI 4.611, 1.735–12.254 0.002 4.539, 1.726–11.939 0.002
National criteria screening 0.981, 0.356–2.705 0.971 1.850, 0.812–4.214 0.078

SBP, systolic blood pressure; HbA1c, glycosylated hemoglobin; TG, triglyceride; LDL-c, Low density lipoprotein cholesterol; HCY, homocysteine; MRI, magnetic resonance imaging. The bold values mean the data has a significant difference (P < 0.05).