Table 5.
Crude OR (95% CI) P-value |
Model 1 OR (95% CI) P-value |
Model 2 OR (95% CI) P-value |
Model 3 OR (95% CI) P-value |
|
---|---|---|---|---|
WC | ||||
T1 (n = 63) < 95 | 1 (ref.) | 1 (ref.) | 1 (ref.) | 1 (ref.) |
T2 (n = 67) 95-104 | 2.72 (1.33-5.56) P = 0.006 |
2.97 (1.39-6.34) P = 0.005 |
3.53 (1.6-7.82) P = 0.002 |
1.88 (0.77-4.54) P = 0.161 |
T3 (n = 70) > 104 | 9.03 (3.82-21.34) P = 0.000 |
12.41 (4.77-32.23) P = 0.000 |
14.56 (5.28-40.16) P = 0.000 |
3.71 (1.03-13.31) P = 0.044 |
P trend* | 0.000 | 0.000 | 0.000 | 0.04 |
WHR | ||||
T1 (n = 66) < 0.91 | 1 (ref.) | 1 (ref.) | 1 (ref.) | 1 (ref.) |
T2 (n = 69) 0.91-0.97 | 0.79 (0.39-1.57) P = 0.508 |
0.97 (0.45-2.08) P = 0.946 |
0.94 (0.43-2.07) P = 0.889 |
0.83 (0.34-1.98) P = 0.678 |
T3 (n = 65) > 0.97 | 2.69 (1.21-5.99) P = 0.015 |
4.42 (1.74-11.21) P = 0.002 |
4.64 (1.77-12.15) P = 0.002 |
2.94 (1.05-8.25) P = 0.04 |
P trend* | 0.02 | 0.002 | 0.002 | 0.049 |
WHtR | ||||
T1 (n = 66) < 0.57 | 1 (ref.) | 1 (ref.) | 1 (ref.) | 1 (ref.) |
T2 (n = 67) 0.57-0.62 | 4.72 (2.26-9.83) P = 0.000 |
6.16 (2.73-13.91) P = 0.000 |
6.93 (2.92-16.47) P = 0.000 |
4.7 (1.76-12.49) P = 0.002 |
T3 (n = 67) > 0.62 | 23.18 (8.17-65.74) P = 0.000 |
29.15 (9.45-89.86) P = 0.000 |
33.06 (10.25-106.59) P = 0.000 |
13.1 (2.68-63.99) P = 0.001 |
P trend* | 0.000 | 0.000 | 0.000 | 0.001 |
TLR | ||||
T1 (n = 66) < 1.65 | 1 (ref.) | 1 (ref.) | 1 (ref.) | 1 (ref.) |
T2 (n = 67) 1.65-2.02 | 1.41 (0.69-2.87) P = 0.335 |
2.45 (1.05-5.68) P = 0.036 |
3.07 (1.26-7.51) P = 0.014 |
4.92 (1.65-14.64) P = 0.004 |
T3 (n = 67) > 2.02 | 1.88 (0.9-3.91) P = 0.089 |
4.66 (1.77-12.27) P = 0.002 |
5.27 (1.93-14.39) P = 0.001 |
7.99 (2.43-26.26) P = 0.001 |
P trend* | 0.088 | 0.002 | 0.001 | 0.001 |
METS-VF | ||||
T1 (n = 65) < 6.99 | 1 (ref.) | 1 (ref.) | 1 (ref.) | 1 (ref.) |
T2 (n = 66) 6.99-7.26 | 3.71 (1.79-7.68) P = 0.000 |
4.06 (1.91-8.61) P = 0.000 |
4.34 (1.97-9.53) P = 0.000 |
2.47 (1.04-5.84) P = 0.039 |
T3 (n = 66) >7.26 |
9.5 (4.01-22.46) P = 0.000 |
10.87 (4.45-26.53) P = 0.000 |
13.85 (5.38-35.63) P = 0.000 |
4.55 (1.46-14.2) P = 0.009 |
P trend* | 0.000 | 0.000 | 0.000 | 0.007 |
Model 1: age (except for METS-VF) (continuous), sex (except for METS-VF) (female/male), diabetes duration (continuous), smoking (smoker/non-smoker), physical activity (continuous), energy intake (kcal/d). Model 2: further adjustment for serum fasting blood sugar (except for METS-VF) (continuous), serum triglyceride (except for METS-VF) (continuous), serum cholesterol (continuous) and HOMA (continuous). Model 3: additionally adjusted for BMI (continuous). WC, waist circumference; WHR, waist circumference to hip circumference ratio; WHtR, waist circumference to height ratio; TLR, trunk to leg fat ratio; METS-VF, metabolic score for visceral fat. * Odds ratios (ORs) and 95% CIs were obtained using binary logistic regression models. The overall trend of ORs was examined by the use of tertiles of the anthropometric indices as an ordinal variable in models.