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. 2019 Jun 18;7(6):e12631. doi: 10.2196/12631

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.