Table 1.
Characteristics of study population in the lowest to highest quartiles of different dietary protein intake
| |
Total protein intake (% of total energy intake) |
Animal protein intake (% of total energy intake) |
Plant protein intake (% of total energy intake) |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristics | Q1 (<10.1%) | Q2 (10.1-12.8%) | Q3 (12.9-15.9%) | Q4 (>15.9%) | P a | Q1 (<3.7%) | Q2 (3.7-5.6%) | Q3 (5.7-8.4%) | Q4 (>8.4%) | P a | Q1 (<4.9%) | Q2 (4.9-6.6%) | Q3 (6.7-8.4%) | Q4 (>8.4%) | P a |
|
n |
254 |
254 |
254 |
253 |
|
254 |
254 |
254 |
253 |
|
254 |
254 |
254 |
253 |
|
| Age, y |
61 ± 11 |
62 ± 12 |
62 ± 11 |
61 ± 12 |
0.48 |
61 ± 11 |
62 ± 11 |
62 ± 11 |
61 ± 12 |
0.47 |
60 ± 12 |
61 ± 11 |
62 ± 11 |
63 ± 11 |
0.01 |
| Male, n (%) |
138(54) |
162(63) |
164(64) |
188(74) |
<0.001 |
139(54) |
175(68) |
162(63) |
176(69) |
0.002 |
195(76) |
169(66) |
146(57) |
142(56) |
<0.001 |
| BMI, kg/m2 |
24.7 ± 3.9 |
24.6 ± 3.9 |
24.2 ± 3.8 |
24.3 ± 3.7 |
0.39 |
24.6 ± 3.5 |
24.5 ± 4.0 |
24.5 ± 4.2 |
24.2 ± 3.7 |
0.73 |
24.9 ± 3.9 |
24.2 ± 4.0 |
24.5 ± 4.0 |
24.3 ± 3.4 |
0.15 |
| WHR |
0.97 ± 0.06 |
0.93 ± 0.08 |
1.01 ± 0.07 |
0.91 ± 0.07 |
0.27 |
1.01 ± 0.08 |
0.97 ± 0.06 |
0.92 ± 0.06 |
0.91 ± 0.07 |
0.23 |
0.94 ± 0.07 |
0.92 ± 0.06 |
0.96 ± 0.09 |
0.93 ± 0.07 |
0.28 |
| Total energy intake, MJ/d |
8.1 ± 3.4 |
8.2 ± 4.2 |
9.2 ± 5.3 |
11.2 ± 5.8 |
<0.001 |
9.3 ± 4.5 |
9.4 ± 4.8 |
8.7 ± 4.1 |
9.0 ± 5.2 |
0.21 |
12.0 ± 5.7 |
9.2 ± 4.4 |
7.9 ± 3.3 |
7.5 ± 3.6 |
0.001 |
| Total fat intake,% of total energy intake |
23.5 ± 11.7 |
30.0 ± 9.7 |
29.8 ± 8.8 |
31.1 ± 8.6 |
<0.001 |
24.4 ± 11.1 |
28.2 ± 9.2 |
30.2 ± 9.4 |
31.6 ± 9.5 |
<0.001 |
26.6 ± 13.5 |
29.2 ± 9.5 |
28.9 ± 8.3 |
29.8 ± 8.2 |
0.30 |
| Smoker, n (%) |
151(59) |
117(46) |
98(38) |
87(34) |
<0.001 |
137(53) |
106(41) |
116(45) |
94(37) |
0.001 |
158(62) |
115(45) |
92(36) |
88(34) |
0.001 |
| Alcohol user, n (%) |
191(75) |
137(54) |
109(42) |
98(38) |
<0.001 |
74(29) |
54(21) |
53(20) |
39(15) |
0.003 |
87(34) |
57(22) |
41(16) |
35(13) |
<0.001 |
| Tea user, n (%) |
112(21) |
129(24) |
136(25) |
158(30) |
<0.001 |
117(22) |
112(44) |
155(61) |
151(59) |
0.005 |
197(77) |
147(57) |
108(42) |
83(32) |
0.001 |
| Family history of CAD, n (%) |
12(4.7) |
19(7.5) |
8(3.1) |
17(6.7) |
0.12 |
9(3.5) |
17(6.7) |
16(6.3) |
14(5.5) |
0.41 |
14(5.5) |
11(4.3) |
17(6.7) |
14(5.5) |
0.71 |
| Hypertension, n (%) |
167(64) |
170(67) |
154(60) |
147(57) |
0.12 |
165(65) |
166(65) |
162(63) |
142(56) |
0.10 |
155(61) |
158(62) |
162(63) |
160(63) |
0.92 |
| Hyperlipidmia, n (%) |
27(10) |
42(16) |
39(15) |
34(13) |
0.24 |
33(13) |
35(13) |
36(14) |
38(15) |
0.93 |
31(12) |
36(14) |
35(13) |
40(15) |
0.70 |
| Diabetes, n (%) | 61(24) | 61(24) | 56(22) | 62(24) | 0.90 | 67(26) | 60(23) | 59(23) | 54(21) | 0.61 | 60(23) | 49(19) | 64(25) | 67(26) | 0.24 |
Values are means ± SD or n (%).
aP-value was based on ANOVA when row variable was continuous (age, BMI, WHR, total energy intake, and total fat intake) and χ2 test when row variable was categorical.