Table 1 The demographic characteristics 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) | |
Sex | ||
 Male | 237 (48.67) | 65 (49.62) |
 Female | 250 (51.33) | 66 (50.38) |
Age (year)a | 51.36 (11.49) | 53.37 (10.75) |
Weight (kg)a | 59.43 (9.54) | 58.84 (9.77) |
Height (cm)a,b | 161.99 (7.57) | 161.68 (7.31) |
BMIa | 22.61 (3.00) | 22.43 (2.81) |
Education levels | ||
 Illiterate | 10 (2.05) | 1 (0.76) |
 Primary school | 97 (11.92) | 34 (25.95) |
 Junior school | 156 (32.03) | 47 (35.88) |
 Senior school | 116 (23.82) | 22 (16.79) |
 College | 108 (22.18) | 27 (20.62) |
Occupations | ||
 Cadre | 162 (33.26) | 44 (33.59) |
 Worker | 183 (37.58) | 62 (47.33) |
 Peasant | 142 (29.16) | 25 (19.08) |
Languages | ||
 Mandarin | 71 (14.58) | 20 (15.27) |
 Cantonese | 154 (31.62) | 60 (45.80) |
 Hakka | 161 (33.06) | 34 (25.95) |
 Teochew | 101 (20.74) | 17 (12.98) |
Residences | ||
 City | 217 (44.56) | 57 (43.51) |
 Townlet | 142 (29.16) | 30 (22.90) |
 Village | 128 (26.28) | 44 (33.59) |