Table 2.
Consumption level of meat and vegetables by selected characteristics of participants in Nanjing municipality in 2023, China (N = 60,945).
| Characteristics of participants | Number of participants, % (n) | Consumption level of meat and vegetables | ||||||
|---|---|---|---|---|---|---|---|---|
| Meat (g/wk) | Vegetables (g/d) | |||||||
| Median (25th and 75th IQR) | H | p-value * | Median (25th and 75th IQR) | H | p-value * | |||
| Total | 60,945 | 700.0 (375.0, 1,100) | 200.0 (100.0, 300.0) | |||||
| Age (years) | 18–19 | 3.5 (2132) | 850.0 (500.0, 1400.0) | 1640.73 | <0.001 | 150.0 (78.6, 200.0) | 812.32 | <0.001 |
| 20–29 | 21.9 (13337) | 850.0 (500.0, 1400.0) | 150.0 (100.0, 250.0) | |||||
| 30–39 | 18.3 (11144) | 750.0 (450.0, 1250.0) | 200.0 (100.0, 300.0) | |||||
| 40–49 | 14.0 (8538) | 700.0 (375.0, 1075.0) | 200.0 (100.0, 300.0) | |||||
| 50–59 | 22.9 (13943) | 675.0 (350.0, 1050.0) | 200.0 (100.0, 300.0) | |||||
| 60–69 | 13.2 (8015) | 525.0 (300.0, 900.0) | 200.0 (100.0, 300.0) | |||||
| 70–79 | 5.3 (3251) | 500.0 (300.0, 825.0) | 200.0 (100.0, 300.0) | |||||
| 80+ | 1.0 (585) | 500.0 (300.0, 725.0) | 200.0 (100.0, 300.0) | |||||
| Sex | Men | 49.4 (30090) | 725.0 (425.0, 1250.0) | 565.24 | <0.001 | 200.0 (100.0, 300.0) | 2.67 | 0.103 |
| Women | 50.6 (30855) | 700.0 (350.0, 1050.0) | 200.0 (100.0, 300.0) | |||||
| Location | Urban | 38.4 (23397) | 700.0 (425.0, 1250.0) | 270.40 | <0.001 | 196.4 (100.0, 250.0) | 262.65 | <0.001 |
| Suburban | 61.6 (37548) | 700.0 (350.0, 1050.0) | 200.0 (100.0, 300.0) | |||||
| Educational attainment (years of schooling) | 9- | 14.1 (8608) | 500.0 (300.0, 850.0) | 1376.97 | <0.001 | 200.0 (100.0, 300.0) | 600.28 | <0.001 |
| 10–12 | 43.4 (26437) | 700.0 (350.0, 1050.0) | 200.0 (100.0, 300.0) | |||||
| 13+ | 42.5 (25900) | 775.0 (500.0, 1350.0) | 196.0 (100.0, 250.0) | |||||
| Marital status | Single | 27.3 (16616) | 825.0 (450.0, 1400.0) | 515.52 | <0.001 | 150.0 (100.0, 250.0) | 533.62 | <0.001 |
| Married/having a partner | 72.7 (44329) | 700.0 (350.0, 1,050) | 200.0 (100.0, 300.0) | |||||
| Body weight status $ | Underweight | 4.1 (2483) | 700.0 (400.0, 1250.0) | 22.04 | <0.001 | 150.0 (100.0, 250.0) | 179.80 | <0.001 |
| Normal | 43.1 (26280) | 700.0 (375.0, 1100.0) | 200.0 (100.0, 300.0) | |||||
| Overweight | 36.2 (22055) | 700.0 (375.0, 1100.0) | 200.0 (100.0, 300.0) | |||||
| Obesity | 16.6 (10127) | 700.0 (375.0, 1100.0) | 200.0 (100.0, 300.0) | |||||
| Smoking ‡ | No | 78.1 (47608) | 700.0 (363.0, 1050.0) | 148.65 | <0.001 | 200.0 (100.0, 300.0) | 126.78 | <0.001 |
| Yes | 21.9 (13337) | 725.0 (425.0, 1250.0) | 200.0 (100.0, 300.0) | |||||
| Drinking ¶ | No | 71.5 (43584) | 700.0 (350.0, 1050.0) | 397.88 | <0.001 | 200.0 (100.0, 300.0) | 18.44 | <0.001 |
| Yes | 28.5 (17361) | 750.0 (425.0, 1350.0) | 200.0 (100.0, 300.0) | |||||
* Kruskal–Wallis ANOVA test was used to examine the differences in food intake among participants by selected characteristics. $ Body weight status was categorized as underweight (BMI<18.5), normal weight (BMI = 18.5, 23.9), overweight (BMI = 24.0, 27.9), or obesity (BMI ≥ 28.0) based on recommendations for Chinese adults using the body mass index (BMI). ‡ Smoking status was defined based on recommendation by the China National Center for Chronic Disease Control and Prevention. ¶ Drinking status was defined based on recommendation by the China National Center for Chronic Disease Control and Prevention.