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. 2022 Jan 10;22:29. doi: 10.1186/s12888-021-03662-9

Table 3.

Statistics for mediation analyses

Outcome Age confound predictor variable (95% CI) Age confound mediating variable (95% CI) Age confound outcome variable (95% CI) Direct effects (95% CI) Indirect effects (95% CI) Total effects (95% CI) R2 Outcome % mediated
Number of suicide attempts 0.01 (−0.01, 0.02) −0.03 (−0.04, −0.01) 0.01 (0.01, 0.02) 0.09 (− 0.15, 0.32) 0.17 (0.05, 0.28) 0.25 (0.02, 0.49) 0.24 68%
More than 2 attempts 0.01 (−0.01, 0.02) − 0.03 (− 0.04, − 0.01) 0.01 (− 0.01, 0.01) 0.26 (0.07, 0.45) 0.07 (0, 0.15) 0.33 (0.15, 0.51) 0.15 21%
More than 4 attempts 0.01 (− 0.01, 0.01) − 0.03 (− 0.04, − 0.01) 0.01 (0.01, 0.03) 0.21 (0.02, 0.40) 0.11 (0.02, 0.19) 0.32 (0.14, 0.50) 0.19 34%

Note. Each row represents a separate mediation model. For all three models Sexual abuse is the predictor and dissociative experiences the mediator, and age is confounding variable. All measures are standardized. “Direct effects” describes the relationship between predictor and outcome that is not explained by mediation. “Indirect effects” describes the relationship between predictor and outcome that is explained by mediation. Total effects is the combination of indirect and direct effects