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. 2020 Jan 3;2020:4739271. doi: 10.1155/2020/4739271

Table 5.

The odds ratio of risk factors for diabetic macroangiopathy participants versus nondiabetic macroangiopathy participants.

Model 1 P value Model 2 P value Model 3 P value
Age 1.022 (0.955, 1.095) 0.526 1.026 (0.954, 1.104) 0.492
Female 0.215 (0.040, 1.146) 0.072 0.096 (0.013, 0.690) 0.020
BMI 0.935 (0.728, 1.201) 0.598 0.866 (0.656, 1.144) 0.311
Cigarette smoking 0.627 (0.126, 3.117) 0.569 0.698 (0.129, 3.770) 0.676
HbA1C 0.997 (0.659, 1.508) 0.989 1.108 (0.697, 1.763) 0.664
SBP 1.411 (1.237, 1.609) <0.00001 1.517 (1.274, 1.806) <0.00001
TG 0.985 (0.489, 1.984) 0.966 0.885 (0.425, 1.842) 0.743
HDL-C 0.889 (0.064, 12.267) 0.930 3.095 (0.164, 58.558) 0.451
LDL-C 0.776 (0.365, 1.650) 0.510 0.513 (0.203, 1.296) 0.158
Adiponectin 0.474 (0.346, 0.648) <0.00001 0.293 (0.113, 0.759) 0.011

The odds ratio (OR) and 95% confidence interval of each parameter versus nondiabetic macroangiopathy participants were analyzed using binary logistic regression. Model 1 included traditional macrovascular risk factors such as age, sex, cigarette smoking, body mass index (BMI), HbA1C, systolic blood pressure (SBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) (n = 173, P < 0.05). Model 2 included only adiponectin (n = 173, P < 0.05). Model 3 incorporated Model 1 plus Model 2 (n = 173, P < 0.05).