Table 7.
Predicting utilization and clinical outcomes from active proportion in Sample 2
| Outcome variable | Active proportion variable | Number of days of app engagement | Number of practices | β | 95% CI | p |
|---|---|---|---|---|---|---|
| Sum Practice | Active Proportion | 30 | > 1 | 0.57 | [0.16, 0.98] | 0.007 |
| Sum Practice | Active Proportion2 | 30 | > 1 | − 0.43 | [− 0.84, − 0.02] | 0.039 |
| Sum Days | Active Proportion | 30 | > 1 | 0.54 | [0.14, 0.95] | 0.008 |
| Sum Days | Active Proportion2 | 30 | > 1 | − 0.43 | [− 0.83, − 0.03] | 0.036 |
| T2 Psychological Distress | Active Proportion | 30 | > 1 | 0.35 | [0.01, 0.69] | 0.043 |
| T2 Psychological Distress | Active Proportion2 | 30 | > 1 | − 0.30 | [− 0.64, 0.04] | 0.083 |
| T3 Psychological Distress | Active Proportion | 30 | > 1 | 0.35 | [0.03, 0.67] | 0.034 |
| T3 Psychological Distress | Active Proportion2 | 30 | > 1 | − 0.40 | [− 0.72, − 0.08] | 0.016 |
Active Proportion = the proportion of active meditation practice divided by the overall number of practices. β = standardized coefficient. The sample size for the analyses was 248. Demographics and T1 Psychological Distress were included as covariates in all models