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

Table 5.

Predicting utilization outcomes from active proportion in Sample 1

Outcome variable Active proportion variable Observation period Number of practice sessions β 95% CI p
Sum Practice (winsorized) Active Proportion 30  > 1  − 0.62 [− 0.66, − 0.58]  < 0.001
Sum Practice (winsorized) Active Proportion2 30  > 1 0.55 [0.51, 0.59]  < 0.001
Sum Days Active Proportion 30  > 1  − 0.60 [− 0.64, − 0.56]  < 0.001
Sum Days Active Proportion2 30  > 1 0.50 [0.47, 0.54]  < 0.001

Active Proportion = the proportion of active meditation practice divided by the overall number of practices. β = standardized coefficient. The sample size 26,532. Demographics were included as covariates in all models