FIGURE 2.

Multivariable logistic regression analysis for blood pressure types and target organ damage. Unadjusted model only contains blood pressure types. Additional adjustment variables for LVH include age, gender, alcohol intake, diabetes mellitus, cardiovascular disease history, antihypertensive drugs, hemoglobin, serum albumin, uric acid, homocysteine, serum fasting glucose, cholesterol, HDL‐C, LDL‐C, serum phosphate, iPTH, and eGFR; additional adjustment variables for abnormal CIMT include age, gender, BMI, current smoking, diabetes mellitus, cardiovascular disease history, antihypertensive drugs, statin, hemoglobin, serum albumin, uric acid, homocysteine, serum fasting glucose, and HDL‐C, iPTH, eGFR; additional adjustment variables for low eGFR include age, gender, current smoking, diabetes mellitus, cardiovascular disease history, antihypertensive drugs, hemoglobin, uric acid, homocysteine, cholesterol, HDL‐C, LDL‐C, serum phosphate, and iPTH; and additional adjustment variables for albuminuria include age, gender, alcohol intake, diabetes mellitus, cardiovascular disease history, antihypertensive drugs, statin, hemoglobin, serum albumin, homocysteine, uric acid, cholesterol, HDL‐C, LDL‐C, serum phosphate, iPTH, and eGFR. BMI, body mass index; CIMT, carotid intima‐media thickness; eGFR, estimated glomerular filtration rate; HDL‐C, high‐density lipoprotein cholesterol; iPTH, intact parathyroid hormone; LDL‐C, low‐density lipoprotein cholesterol; LVH, left ventricular hypertrophy; M−, without morning hypertension; M+, with morning hypertension; N−, without nocturnal hypertension; N+, with nocturnal hypertension