Variables | Model 1 | Model 2 | Model 3 |
---|
STD β | p | STD β | p | STD β | p |
---|
Log maximum IMT |
Agea
|
0.19
|
0.003
|
0.19
|
0.003
|
0.19
|
0.003
|
Male gender |
0.12
|
0.045
| | | | |
Waist circumference (cm) | | | | | | |
Currently smoking | | | | | | |
History of hypertension |
0.15
|
0.02
|
0.14
|
0.03
|
0.14
|
0.03
|
HDL cholesterol (mg/dl) | – | – | | | | |
eGFR CKD-EPIb
| – | – | – | – | | |
Urinary NAGc
|
0.14
|
0.03
|
0.14
|
0.02
|
0.14
|
0.02
|
Urinary ACRd
| – | – | | | | |
Log mean of maximum IMT | | | | | | |
Agea
|
0.19
|
0.003
|
0.18
|
0.004
|
0.18
|
0.004
|
Male gender |
0.12
|
0.04
| | | | |
Waist circumference (cm) | | | | | | |
Currently smoking | | | | | | |
History of hypertension |
0.13
|
0.04
|
0.13
|
0.04
|
0.13
|
0.04
|
HDL cholesterol (mg/dl) | – | – |
−0.13
|
0.03
|
−0.13
|
0.03
|
eGFR CKD-EPIb
| – | – | – | – | | |
Urinary NAGc
|
0.13
|
0.03
|
0.13
|
0.03
|
0.13
|
0.03
|
Urinary ACRd
| – | – | | | | |
- Logarithm-transformed values of maximum and mean of maximum carotid IMT were used for analysis
- Model 1: adjusted for age, sex, waist circumference, current smoking status, history of hypertension, and urinary NAG
- Model 2: adjusted for Model 1 + HDL cholesterol and urinary ACR
- Model 3: adjusted for Model 2 + eGFR CKD-EPI
-
IMT intima-media thickness, T2D type 2 diabetes mellitus, STD standardized; HDL: high density lipoprotein, eGFR: estimated glomerular filtration rate, CKD-EPI chronic kidney disease epidemiology collaboration, NAG N-acetyl-β-d-glucosaminidase; ACR albumin-to-creatinine ratio
- Bolditalics denotes statistical significance at p < 0.05
-
aAge, b eGFR CKD-EPI, c urinary NAG, and d urinary ACR were analyzed as binary variables defined as < or ≥40 years, < or ≥60 ml/min/1.73 m2, ≤ or >7.21 U/g creatinine (median of NAG = 7.21 U/g creatinine), and < or ≥30 mg/g creatinine, respectively