Table 2.
Demographics of the participants in the zhengzhou2023 cohort.
| Feature | Ward.CRC (n=10) | Ward.Relative (n=10) | Ward.Staff (n=19) | P value |
|---|---|---|---|---|
| Gender (n) | ||||
| Female | 5 | 5 | 10 | 1.000 |
| Male | 5 | 5 | 19 | |
| Age (year) [mean (SD)] | 58.9(4.032) | 38.5(4.443) | 44.26(2.123) | 0.001 |
| BMI (kg/m2) [mean (SD)] | 22.2(0.987) | 22.9(0.674) | 25.2(0.852) | 0.049 |
| Age (year) [mean (SD)] | 44.079(11.917) | 46.082(11.733) | 46.082(11.733) | 0.436 |
| Waist (cm) [mean (SD)] | 72.7(1.325) | 75.8(6.46) | 83.09(10.818) | 0.009 |
| Hip (cm) [mean (SD)] | 163.6(2.596) | 167.5(2.557) | 169.276(1.9) | 0.223 |
| Weight(kg)[mean(SD)] | 60.3(4.417) | 64.2(3.073 | 72.763(3.412) | 0.055 |
| Lifestyles [n(n%)] | ||||
| Whole grains | ||||
| No | 3(30.00) | 2(20.00) | 4(21.05) | 0.889 |
| Yes | 7(70.00) | 8(70.00) | 15(78.95) | |
| Probiotics | ||||
| No | 6(60.00) | 4(40.00) | 8(42.11) | 0.707 |
| Yes | 4(40.00) | 6(60.00) | 11(57.89) | |
| Red meat >150 g/w | ||||
| No | 6(60.00) | 5(50.00) | 8(42.1) | 0.920 |
| Yes | 4(40.00) | 5(50.00) | 11(57.9) | |
| White meat >150 g/w | ||||
| No | 6(60.00) | 5(50.00) | 9(47.4) | 1.000 |
| Yes | 4(40.00) | 5(50.00) | 10(52.6) | |
| Smoking | ||||
| No | 6(60.00) | 8(80.00) | 10(52.63) | 0.473 |
| Yes | 4(40.00) | 2(20.00) | 9(47.37) | |
| Drinking | ||||
| No | 7(70.00) | 7(70.00) | 11(57.89) | 0.755 |
| Yes | 3(30.00) | 3(30.00) | 8(42.11) | |
| Colonoscopy within 5 years | ||||
| No | 0(0.00) | 10(100.00) | 9(47.37) | 0.001 |
| Yes | 10(100.00) | 0(0.00) | 10(52.63) | |
Continuous variables were analyzed using analysis of variance (ANOVA), whereas categorical variables were assessed using the chi-square test.