Table 7.
Distributions of sample characteristics among women by four dietary patterns.
| Demographic Factors | “Animal and Fried Food” Dietary Pattern | “High-Salt and Energy” Dietary Pattern | “Vegetable and Fruit” Dietary Pattern | “Balanced” Dietary Pattern | χ2 | p |
|---|---|---|---|---|---|---|
| n (%) | 31 (5.93) | 180 (34.42) | 174 (33.27) | 138 (26.39) | ||
| Age group, n (%) | 24.548 | 0.0004 | ||||
| ≥35 years | 11 (35.48) | 35 (19.44) | 57 (32.76) | 51 (36.96) | ||
| 35–45 years | 11 (35.48) | 63 (35.00) | 74 (42.53) | 46 (33.33) | ||
| ≥45 years | 9 (29.03) | 82 (45.56) | 43 (24.71) | 41 (29.71) | ||
| Educational level, n (%) | 34.278 | <0.0001 | ||||
| Bachelor degree or above | 6 (19.35) | 14 (14.14) | 43 (24.71) | 36 (26.09) | ||
| Junior college and senior high school | 14 (45.16) | 116 (64.44) | 107 (61.49) | 81 (58.70) | ||
| Junior high school or below | 11 (35.48) | 50 (27.78) | 24 (13.79) | 21 (15.22) | ||
| Work type, n (%) | - | 0.082 * | ||||
| Heavy physical | 1 (3.23) | 7 (3.89) | 2 (1.15) | 4 (2.90) | ||
| Light physical | 17 (54.84) | 88 (48.89) | 67 (38.51) | 54 (39.13) | ||
| Mental labor | 13 (41.94) | 85 (47.22) | 105 (60.34) | 80 (57.97) | ||
| Monthly income (RMB), n (%) | 16.771 | 0.010 | ||||
| ≤4000 | 15 (48.39) | 80 (44.44) | 55 (31.61) | 53 (38.41) | ||
| 4000–6000 | 7 (22.58) | 53 (29.44) | 39 (22.41) | 33 (23.91) | ||
| ≥6000 | 9 (29.03) | 47 (26.11) | 80 (45.98) | 52 (37.68) | ||
| Alcohol consumption, n (%) | - | 0.450 * | ||||
| No | 31 (100.00) | 174 (96.67) | 169 (97.13) | 130 (94.20) | ||
| Yes | 0 (0.00) | 6 (3.33) | 5 (2.87) | 8 (5.80) | ||
| BMI (kg/m2), n (%) | 7.352 | 0.601 | ||||
| Underweight | 1 (3.23) | 6 (3.33) | 7 (4.02) | 6 (4.35) | ||
| Normal range | 19 (61.29) | 106 (58.89) | 119 (68.39) | 84 (60.87) | ||
| Overweight | 8 (25.81) | 58 (32.22) | 43 (24.71) | 43 (31.16) | ||
| Obese | 3 (9.68) | 10 (5.56) | 5 (2.87) | 5 (3.62) |
Numbers in bold indicate significant associations based on a p value cutoff of 0.05. * Fisher’s exact probability.