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. 2026 Mar 9;17(4):1120–1137. doi: 10.1007/s12671-026-02787-w

Table 6.

Predicting active proportion by demographics for Sample 2

Demographic variable Number of days of app engagement Number of practice sessions β 95% CI p
Woman 30  > 1 0.05 [− 0.08, 0.18] 0.460
Gender unknown 30  > 1  − 0.05 [− 0.18, 0.08] 0.455
Age 30  > 1  − 0.06 [− 0.20, 0.07] 0.340
College grad or higher 30  > 1  − 0.01 [− 0.14, 0.13] 0.912
Education unknown 30  > 1  − 0.07 [− 0.20, 0.05] 0.259
Married or domestic partnership 30  > 1 0.05 [− 0.11, 0.22] 0.511
Marital status unknown 30  > 1  − 0.03 [− 0.16, 0.10] 0.617
$50,000–$100,000 30  > 1 0.17 [− 0.04, 0.38] 0.121
$100,000–$150,000 30  > 1 0.16 [− 0.07, 0.40] 0.169
$150,000 or more 30  > 1 0.02 [− 0.17, 0.21] 0.844
Income unknown 30  > 1 0.09 [− 0.04, 0.23] 0.173
Race other 30  > 1 0.03 [− 0.10, 0.16] 0.679
Race unknown 30  > 1 0.17 [0.04, 0.29] 0.011
T1 distress 30  > 1  − 0.08 [− 0.21, 0.06] 0.259

Active Proportion = the proportion of active meditation practice divided by the overall number of practices. β = standardized coefficient. For 30 days of engagement, the sample size when examining > 1 practices was 248. A Bonferroni correction was applied such that only p-values which were smaller than 0.007 were interpreted