Table 1.
Predictors (at the time of prompt) | Odds ratio | CI | p-value | |
---|---|---|---|---|
Message type | ||||
Tailored insights (reference) | 1 | |||
Tailored suggestions | 3.56* | 2.36 | 5.36 | <0.001 |
Engagment metrics | ||||
Days lapsed since app was installed | 1 | 1 | 1 | 0.964 |
Number of app uses since installed | 1 | 1 | 1.01 | 0.246 |
Days lapsed since recent app use | 0.27* | 0.25 | 0.29 | <0.001 |
Frequency of app use | 2.64* | 1.63 | 4.30 | <0.001 |
Demographics | ||||
Gender | ||||
Female (reference) | 1 | |||
Male | 1 | 0.88 | 1.13 | 0.993 |
Age | ||||
under 30 (reference) | ||||
Middle (30–50) | 1.01 | 0.9 | 1.14 | 0.828 |
50+ | 0.96 | 0.87 | 1.06 | 0.435 |
BMI | ||||
Normal range (reference) | 1 | |||
Overweight | 0.92 | 0.84 | 1.01 | 0.079 |
Interactions | ||||
Tailored insights (reference) | 1 | |||
Tailored suggestion x Days lapsed since recent app use | 1 | 0.99 | 1 | 0.547 |
Tailored suggestion xFrequency of app use | 0.17* | 0.10 | 0.28 | <0.001 |