Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese

Table 2 Variables contained in three models

	Model 1	Model 2	Model 3
Age	√	√	√
Body mass index	√	√	√
Systolic blood pressure	√	√	√
Diastolic blood pressure	√	√	√
Fasting plasma glucose	√	√	√
Serum glutamic oxaloacetic transaminase	√	√	√
Serum glutamic pyruvic transaminase	√	√	√
Uric acid	√	√	√
High density lipoprotein cholesterol	√	√	√
High sensitivity C-reactive protein	√	√	√
Triglyceride	√	√	√
Estimated glomerular filtration rate	√	√	√
Sleep time		√	√
Drinking duration		√	√
Sport hours		√	√
White blood cell count			√
Hemoglobin			√
Alkaline phosphatase			√
γ-glutamyltransferase			√
High sensitivity C-reactive protein			√