Table 4.
Multilevel logistic regression results for generating adjusted inequalities - Shanghai
|
Odds Ratio (95%CI) |
p value | |
|---|---|---|
| Individual-level indicators | ||
| Age month | 1•00 | |
| (0•99,1•01) | 0•8094 | |
| Gender/sex | ||
| boy | Ref | |
| girl | 1•74 | <0•0001 |
| (1•58,1•93) | ||
| Family annual income | ||
| less than 100,000 RMB | Ref | |
| 100,000-150,000 RMB | 1•29 | 0•0113 |
| (1•06,1•57) | ||
| 150,000-300,000 RMB | 1•74 | <0•0001 |
| (1•46,2•07) | ||
| more than 300,000 RMB | 2•69 | <0•0001 |
| (2•34,3•11) | ||
| Maternal schooling | ||
| middle school or under | Ref | |
| high school | 1•20 | 0•0162 |
| (1•03,1•40) | ||
| some college | 1•50 | 0•0001 |
| (1•23,1•84) | ||
| college or above | 1•99 | <0•0001 |
| (1•70,2•32) | ||
| Divorce family | ||
| non-divorced family | Ref | |
| divorced family | 0•64 | 0•0002 |
| (0•51,0•81) | ||
| Primary caregiver | ||
| parents | Ref | |
| grandparents or others | 0•62 | <0•0001 |
| (0•53,0•71) | ||
| Migrant children | ||
| non-migrant children | Ref | |
| migrant children | 0•70 | 0• 0162 |
| (0•53,0•94) | ||
| _cons | 2•71 | 0•000 |
| (1•49,4•92) | ||
| District-level indicators | ||
| District/county | 1• 02 | 0•0443 |
| (1•00,1.03) | ||
| Sample | All | |
| Observations | 20,845 | |
| Number of groups | 16 | |