Table 3.
Results of a multivariable logistic regression analysis of factors associated with app usage of pregnant women in Shanghai, China (N=528; after exclusion of 7 cases for missing data on household income).
| Factorsa | Beta | SE | Wald X2 | Odds ratio | 95% CI | P value | |
| Age (years) | —b | — | 0.286 | — | — | .87 | |
| ≤25 | — | — | — | 1.000 (reference) | — | — | |
| 26-34 | .041 | 0.400 | 0.010 | 1.042 | 0.475-2.282 | .92 | |
| ≥35 | −.113 | 0.474 | 0.057 | 0.893 | 0.352-2.263 | .81 | |
| Education (1= Postgraduate degree or above, 0=≤College degree) | .036 | 0.238 | 0.024 | 1.037 | 0.651-1.653 | .88 | |
| Household incomec | — | — | 3.787 | — | — | .15 | |
| <¥10,000 | — | — | — | 1.000 (reference) | — | — | |
| ¥10,000-30,000 | .222 | 0.233 | 0.910 | 1.249 | 0.791-1.970 | .34 | |
| >¥30,000 | .559 | 0.290 | 3.722 | 1.749 | 0.991-3.087 | .05 | |
| Parity (1=multipara, 0=primipara) | .681 | 0.326 | 4.361 | 1.975 | 1.043-3.742 | .04d | |
| Prepregnancy weight category | — | — | 6.994 | — | — | .07 | |
| Underweight | .197 | 0.256 | 0.594 | 1.218 | 0.738-2.010 | .44 | |
| Normal weight | — | — | — | 1.000 (reference) | — | — | |
| Overweight | −.396 | 0.264 | 2.248 | 0.673 | 0.401-1.129 | .13 | |
| Obese | −.952 | 0.486 | 3.843 | 0.386 | 0.149-1.000 | .05 | |
| Trimester | — | — | 20.736 | — | — | <.001d | |
| First | 1.117 | 0.338 | 10.91 | 3.057 | 1.575-5.932 | .001d | |
| Second | .791 | 0.213 | 13.802 | 2.206 | 1.453-3.349 | <.001d | |
| Third | — | — | — | 1.000 (reference) | — | — | |
aRegression models included maternal age, education, household income, parity, pre-pregnancy body mass index category and trimester.
bNot applicable.
cOne Chinese Yuan (¥)=US $0.1437.
dRepresents the variable is significant in the logistic regression model.