Table 6 Association between CDGI(2019)-A score and covariates by random intercept-slope growth models
Covariates | Three-level random intercept growth model | Three-level random intercept-slope growth model | ||||||
|---|---|---|---|---|---|---|---|---|
Fix effect | P | Random effect | Fix effect | P | Random effect | |||
3rd level (community) | 2nd level (individual) | 3rd level (community) | 2nd level (individual) | |||||
Intercept | 35.208 (0.507) | – | 23.632 (1.871) * | 4.230 (0.719) * | 34.658 (0.509) | – | 22.888 (2.632) * | 3.845 (0.714) * |
Survey year | 0.342 (0.017) | < 0.001 | – | – | 0.352 (0.017) | < 0.001 | – | – |
Baseline age | 0.004 (0.006) | 0.478 | – | – | 0.004 (0.006) | 0.490 | – | – |
Gender | ||||||||
male | ref | – | – | – | ref | – | – | – |
female | 3.185 (0.129) | < 0.001 | – | – | 3.224 (0.138) | < 0.001 | 0.885 (0.464) (P = 0.057) | – |
Education | ||||||||
≤elementary school | ref | – | – | – | ref | – | – | – |
middle school | 1.018 (0.163) | < 0.001 | – | – | 1.052 (0.167) | < 0.001 | 0.471 (0.575) (P = 0.412) | – |
≥high school | 1.863 (0.196) | < 0.001 | – | – | 1.915 (0.211) | < 0.001 | 1.700 (0.948) (P = 0.073) | – |
Income | ||||||||
Q1 | ref | – | – | – | ref | – | – | – |
Q2 | 0.829 (0.172) | < 0.001 | – | – | 0.861 (0.203) | < 0.001 | 2.802 (0.927) (P = 0.002) | – |
Q3 | 1.031 (0.181) | < 0.001 | – | – | 1.251 (0.252) | < 0.001 | 8.647 (1.571) * | – |
Q4 | 1.245 (0.197) | < 0.001 | – | – | 1.436 (0.276) | < 0.001 | 9.924 (1.900) * | – |
Urbanization | ||||||||
Q1 | ref | – | – | – | ref | – | – | – |
Q2 | 0.358 (0.255) | 0.160 | – | – | 0.497 (0.255) | 0.051 | – | – |
Q3 | 1.946 (0.337) | < 0.001 | – | – | 2.087 (0.336) | < 0.001 | – | – |
Q4 | 2.065 (0.380) | < 0.001 | – | – | 2.193 (0.377) | < 0.001 | – | – |
Chinese Dietary Guidelines | ||||||||
known | 0.932 (0.169) | < 0.001 | – | – | 0.896 (0.226) | < 0.001 | 6.183 (1.221) * | – |
unknown | ref | – | – | – | ref | – | – | – |