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. Author manuscript; available in PMC: 2026 Mar 10.
Published before final editing as: Mindfulness (N Y). 2026 Mar 9:10.1007/s12671-026-02787-w. 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

Note. 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 .007 were interpreted