Table 3.
Characteristics of groups categorized based on serum sd-LDL-C concentrations
| Characteristics |
Quartiles of serum sd-LDL-C concentrations (mg/dl) |
||||
|---|---|---|---|---|---|
| ≤ 21.1 (n = 119) | 21.2 - 42.7 (n = 119) | 42.8 - 55.7 (n = 118) | 55.8 (n = 120) | Pvalue | |
| Lipid profiles |
|
|
|
|
|
| TG (mg/dl) |
83.8 [72.6−95.1] |
111.8 [100.5−123.1] |
145.3 [134.0−156.7] |
188.7 [177.5−200.0] |
< 0.001 |
| HDL-C (mg/dl) |
63.5 [61.2−65.8] |
57.6 [55.3−59.8] |
52.7 [50.4−55.0] |
49.0 [46.7−51.3] |
< 0.001 |
| LDL-C$ (mg/dl) |
110.3 [105.7−115.0] |
125.9 [121.2−130.6] |
135.9 [131.2−140.5] |
148.6 [144.0−153.3] |
< 0.001 |
| TC (mg/dl) |
190.6 [185.6−195.7] |
205.8 [200.8−210.9] |
217.7 [212.6−222.8] |
235.4 [230.4−240.4] |
< 0.001 |
| Apolipoprotein B (mg/dl) |
78.0 [75.5−80.4] |
91.9 [89.4−94.4] |
103.5 [101.0−105.9] |
117.6 [115.1−120] |
< 0.001 |
| Demographics, clinical characteristics, and laboratory data | |||||
| Age (years) |
57.9 [56.1−59.6] |
56.8 [50.1−58.6] |
55.3 [53.6−57.1] |
53.8 [52.0−55.5] |
0.007 |
| BMI (kg/m2) |
23.4 [22.8−23.9] |
24.0 [23.4−24.5] |
24.5 [24.0−25.1] |
25.0 [24.4−25.5] |
< 0.001 |
| Obesity (% of subjects) |
30.3 |
30.3 |
39.8 |
47.5 |
0.017 |
| Glucose (mg/dl) |
105.0 [101.8−108.2] |
105.6 [103.0−106.2] |
10.6.2 [103.8−108.6] |
110.4 [105.9−115.0] |
0.080 |
| Hyperglycemia |
|
|
|
|
|
| (% of subjects) |
20.2 |
28.6 |
30.5 |
36.7 |
0.045 |
| ALT (IU/L) |
22.4 [19.3−25.5] |
26.5 [23.3−29.6] |
29.1 [26.0−32.3] |
34.3 [31.2−37.4] |
< 0.001 |
| γ-GTP (IU/L) |
31.9 [23.8−39.9] |
40.5 [32.4−48.6] |
47.0 [38.9−55.1] |
62.0 [53.9−70.0] |
< 0.001 |
| Fatty liver (% of subjects) |
23.5 |
34.5 |
44.0 |
57.5 |
< 0.001 |
| Hypertension |
|
|
|
|
|
| (% of subjects) |
52.2 |
52.1 |
53.4 |
61.7 |
0.380 |
| Current drinking |
|
|
|
|
|
| (% of subjects) |
39.5 |
39.5 |
39.8 |
32.5 |
0.587 |
| Current smoking |
|
|
|
|
|
| (% of subjects) | 23.5 | 32.8 | 25.4 | 32.5 | 0.262 |
Data are expressed as means [95% corresponding intervals] or percentages. $, LDL-C levels were calculated using the Friedwald formula.
Continuous variables were compared by ANOVA and categorical variables were compared by Chi-square tests.