Table 3 Results of statistical analyses using logistic regression to determine likelihood of pregnancy app usage.
Predictor variables | P value | Estimate | Odds ratio | 95% Confidence Interval |
|---|---|---|---|---|
Likelihood of pregnancy app usage (response variable) Pseudo R2 (0.482) and β (−3.631) | ||||
Concerns about data privacy and security issues [No] | <0.0001 | 4.85 | 127.84 | 2.81, 7.58 |
Concerns about data privacy and security issues [Yes] | 0.143 | 1.58 | 4.86 | −0.40, 3.97 |
Use digital health more now that they are pregnant [Yes] | 0.130 | 1.24 | 3.46 | −0.40, 2.89 |
Health condition [yes] | 0.139 | 1.34 | 3.80 | −0.32, 3.30 |
Feel that they can monitor themselves from home [Strongly Agree] | 0.370 | −1.55 | 0.21 | −5.00, 2.06 |
Feel that they can monitor themselves from home [Agree] | 0.870 | −0.16 | 0.85 | −2.16, 1.76 |
Feel that they can monitor themselves from home [Disagree] | 0.483 | 0.866 | 2.37 | −1.52, 3.40 |
Feel that they can monitor themselves from home [Strongly Disagree] | 0.490 | 1.22 | 3.38 | −2.00, 5.29 |
BMI [Obesity] | 0.779 | 0.26 | 1.30 | −1.54, 2.20 |
BMI [Overweight] | 0.318 | 1.05 | 2.86 | −0.89, 3.32 |
BMI [Underweight] | 0.369 | −1.28 | 0.28 | −4.29, 1.42 |
Age [35–50] | 0.251 | 0.97 | 2.64 | −0.61, 2.79 |
Gravidity | 0.549 | −0.30 | 0.74 | −1.21, 0.80 |
