Table 5.
The association between diet knowledge and overweight/obesity in different age, gender, geographic region, and residential areas
| Diet knowledge | Cases (n) | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|---|
| OR (95%CI) | P | OR (95%CI) | P | OR (95%CI) | P | ||
| Children (8–12 years old) | |||||||
| Cluster B | 221 | Ref | Ref | Ref | |||
| Cluster A | 125 | 0.64 (0.34–1.21) | 0.167 | 0.67 (0.35–1.29) | 0.233 | 0.71 (0.35–1.46) | 0.357 |
| Cluster C | 120 | 0.93 (0.52–1.69) | 0.819 | 0.92 (0.51–1.67) | 0.791 | 1.10 (0.58–2.08) | 0.769 |
| Adolescents (13–18 years old) | |||||||
| Cluster B | 1,043 | Ref | Ref | Ref | |||
| Cluster A | 712 | 0.52 (0.36–0.75) | < 0.001 | 0.51 (0.35–0.74) | < 0.001 | 0.54 (0.36–0.80) | 0.002 |
| Cluster C | 480 | 1.40 (1.01–1.94) | 0.042 | 1.33 (0.96–1.85) | 0.084 | 1.43 (1.00–2.05) | 0.048 |
| Male | |||||||
| Cluster B | 641 | Ref | Ref | Ref | |||
| Cluster A | 438 | 0.53 (0.35–0.80) | 0.002 | 0.54 (0.36–0.82) | 0.004 | 0.58 (0.37–0.90) | 0.015 |
| Cluster C | 346 | 1.21 (0.84–1.73) | 0.306 | 1.19 (0.83–1.71) | 0.353 | 1.31 (0.88–1.94) | 0.178 |
| Female | |||||||
| Cluster B | 623 | Ref | Ref | Ref | |||
| Cluster A | 399 | 0.53 (0.32–0.89) | 0.016 | 0.52 (0.31–0.87) | 0.013 | 0.50 (0.29–0.88) | 0.016 |
| Cluster C | 254 | 1.33 (0.84–2.11) | 0.227 | 1.28 (0.80–2.04) | 0.298 | 1.31 (0.79–2.15) | 0.297 |
| Eastern China1 | |||||||
| Cluster B | 364 | Ref | Ref | Ref | |||
| Cluster A | 148 | 0.52 (0.29–0.94) | 0.031 | 0.51 (0.28–0.92) | 0.027 | 0.51 (0.26–0.99) | 0.047 |
| Cluster C | 119 | 1.62 (0.99–2.64) | 0.053 | 1.54 (0.94–2.52) | 0.088 | 1.20 (0.70–2.04) | 0.512 |
| Central China2 | |||||||
| Cluster B | 254 | Ref | Ref | Ref | |||
| Cluster A | 273 | 0.83 (0.44–1.58) | 0.572 | 0.82 (0.43–1.57) | 0.553 | 0.91 (0.46–1.79) | 0.774 |
| Cluster C | 185 | 1.65 (0.89–3.07) | 0.111 | 1.49 (0.80–2.79) | 0.212 | 1.68 (0.87–3.24) | 0.125 |
| Western China3 | |||||||
| Cluster B | 391 | Ref | Ref | Ref | |||
| Cluster A | 194 | 0.39 (0.15–1.03) | 0.057 | 0.37 (0.14–1.00) | 0.049 | 0.39 (0.14–1.06) | 0.064 |
| Cluster C | 210 | 1.29 (0.68–2.45) | 0.436 | 1.17 (0.62–2.24) | 0.626 | 1.34 (0.68–2.65) | 0.396 |
| Northeastern China4 | |||||||
| Cluster B | 255 | Ref | Ref | Ref | |||
| Cluster A | 222 | 0.47 (0.26–0.87) | 0.015 | 0.48 (0.26–0.88) | 0.018 | 0.37 (0.19–0.71) | 0.003 |
| Cluster C | 86 | 1.31 (0.69–2.48) | 0.417 | 1.45 (0.75–2.78) | 0.270 | 1.16 (0.57–2.38) | 0.689 |
| Urban | |||||||
| Cluster B | 484 | Ref | |||||
| Cluster A | 293 | 0.71 (0.43–1.17) | 0.181 | 0.68 (0.41–1.12) | 0.132 | 0.91 (0.53–1.55) | 0.733 |
| Cluster C | 226 | 1.35 (0.86–2.14) | 0.196 | 1.22 (0.77–1.95) | 0.400 | 1.45 (0.88–2.39) | 0.142 |
| Rural | |||||||
| Cluster B | 780 | Ref | |||||
| Cluster A | 544 | 0.45 (0.29–0.68) | < 0.001 | 0.45 (0.30–0.69) | < 0.001 | 0.38 (0.24–0.60) | < 0.001 |
| Cluster C | 374 | 1.25 (0.87–1.79) | 0.231 | 1.21 (0.85–1.74) | 0.295 | 1.28 (0.86–1.91) | 0.229 |
Cluster A: high diet knowledge level; Cluster B: medium diet knowledge level; Cluster C: low diet knowledge level
Model 1: Univariate logistic regression analysis
Model 2: Adjustment for age and gender
Model 3: Adjustment for age, gender, geographic region, maternal education level, alcohol consumption, waist-to-hip ratio, systolic blood pressure and diastolic blood pressure
Ref Reference
1Eastern China includes: the city of Beijing and Shanghai, the province of Jiangsu, Shandong and Zhejiang
2Central China includes: the province of Henan, Hubei and Hunan
3Western China includes: the province of Guizhou, Guangxi, Shanxi and Yunnan, the city of Chongqing
4Northeastern China includes: the province of Liaoning and Heilongjiang