Models for anaemia and influencing factors by logistic regression
| Model | −2 log L | Testing global null hypothesis: β=0 | ||
|---|---|---|---|---|
| χ2 | DF | p Value | ||
| Model 1* | 2329.12 | 483.45 | 29 | <0.001 |
| Model 2† | 2347.52 | 465.05 | 12 | <0.001 |
| Model 3‡ | 2528.47 | 284.10 | 8 | <0.001 |
| Model 4§ | 2534.98 | 277.60 | 6 | <0.001 |
*Twenty-nine parameters in model 1 were all variables in tables 1–4.
†Eight parameters in model 1 were deleted by p>0.10: age, educational level, annual income, monthly expenditure on food, physical activity time, vegetable, fruit, animal food, pure energy food, protein intake, iron intake, DBI_LBS, total energy intake, carbohydrate intake, transferrin, C-reactive protein.
‡Parameters in model 3 were as follows: experience of food shortage, body mass index, albumin, total protein, ferritin, transferrin saturation, FEP/Hb ratio and soy food intake.
§Parameters in model 4 were as follows: experience of food shortage, body mass index, albumin, total protein, transferrin saturation, FEP/Hb ratio.
DBI_LBS, dietary balance index of lower balance score; FEP, free erythrocyte protoporphyrin.