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. 2016 Jan 28;2(1):38–44. doi: 10.1192/bjpo.bp.115.002154

Table 6. Raw mediation statistics.

Estimate (b) s.e. P-value 95% CI (lower) 95% CI (upper)
Low v. normal birth weight
Model without mediator
 Intercept −1.18 0.01 <0.001 −1.20 −1.16
  Low birth weight → MDD (Path c) 0.11 0.03 <0.001 0.05 0.17
Model with mediator
 Intercept −2.17 0.02 <0.001 −2.21 −2.14
 Low birth weight → neuroticism (Path a) 0.25 0.04 <0.001 0.16 0.33
 Neuroticism → MDD (Path b) 0.22 0.00 <0.001 0.22 0.23
 Low birth weight → MDD (Path c’) 0.07 0.03 0.040 0.00 0.13
 Indirect effect (Paths a * b) 0.05 0.01 0.04 0.07

Very low v. normal birth weight
Model without mediator
 Intercept −1.18 0.01 <0.001 −1.20 −1.16
  Very low birth weight → MDD (path c) 0.21 0.04 <0.001 0.14 0.29
Model with mediator
 Intercept −2.18 0.02 <0.001 −2.12 −2.14
 Very low birth weight → neuroticism (Path a) 0.26 0.06 <0.001 0.15 0.38
 Neuroticism → MDD (Path b) 0.22 0.00 <0.001 0.22 0.23
 Very low birth weight → MDD (Path c’) 0.18 0.04 <0.001 0.10 0.26
 Indirect effect (Paths a * b) 0.06 0.01 0.03 0.09

Path a: association between predictor and mediator (i.e., low/very low birth weight → neuroticism).

Path b: the mediator→ outcome association (neuroticism → MDD) adjusted for the predictor (birth weight).

Path c: the ‘total effect’ of the predictor → outcome (low/very low birth weight → MDD).

Indirect effect: the product of Path a * Path b.

Path c’: the difference between Path c (‘total effect’) and the indirect effect (Path a * b).11,23