Table 2 The eating habits of the participants
From: Application of data mining methods to improve screening for the risk of early gastric cancer
| Â | Low risk of EGC | High risk of EGC |
|---|---|---|
(n = 487) | (n = 131) | |
High salt intake | ||
 Yes | 137 (28.13) | 39 (29.77) |
 No | 350 (71.87) | 92 (70.23) |
Pickled foods | ||
 Often | 57 (11.70) | 16 (12.21) |
 Seldom | 430 (88.30) | 115 (87.79) |
Fried/smoke foodsa | ||
 Often | 43 (8.83) | 6 (4.58) |
 Seldom | 444 (91.17) | 125 (95.42) |
Fruit | ||
 Often | 240 (49.28) | 75 (57.25) |
 Seldom | 247 (50.72) | 56 (42.75) |
Vegetablea | ||
 Often | 456 (93.63) | 128 (97.71) |
 Seldom | 31 (6.37) | 3 (2.29) |
Tea | ||
 Often | 168 (34.50) | 37 (28.24) |
 Seldom | 319 (65.50) | 94 (71.76) |
Smoking | ||
 Yes | 149 (30.60) | 43 (32.82) |
 No | 338 (69.40) | 88 (67.18) |
Drinking | ||
 Yes | 79 (16.22) | 21 (16.03) |
 No | 408 (83.78) | 110 (83.97) |
Drinking-water source | ||
 Water supply | 422 (86.65) | 124 (94.66) |
 Wells water | 50 (10.27) | 7 (5.34) |
 Rivers water | 15 (3.08) | 0 (0.00) |
Drinking hot water | ||
 Yes | 204 (41.89) | 68 (51.91) |
 No | 283 (58.11) | 63 (48.09) |
Speed of eating | ||
 Fast | 306 (62.83) | 70 (53.44) |
 Slow | 181 (37.17) | 61 (46.56) |