Table 5.
Factor in Model | Factor category | Between-study variance (τ2) | SMD for category | P(difference = 0) |
No factor | 0.39 | 0.91 | NA | |
Baseline mean HDRS score | <17 | 0.31 | 0.48 | 0.291 |
>17 | 1.01 | |||
Depression type | Bipolar | 0.48 | 0.80 | 0.761 |
MDD | 0.98 | |||
PUFA species utilised | Predominantly DHA | 0.18 | 0.06 | 0.009 |
Predominantly EPA | 1.18 |
Meta-regression models the effect of study variables on the between-study variance (τ2) in a random effects meta-analysis. To conserve degrees of freedom, each factor was tested independently. A smaller τ2 compared to the no-factor base model indicates that the factor explains more between-study variance. A meta-regression model also allows us to calculate a Wald test for the difference in the SMD for each category of the explanatory factor. A p-value less than 0.05 indicates that there is a statistically significant difference between the SMD for each category. All trials listed in Table 4 were included in the analysis of PUFA species utilised and depression type. For those studies using the HDRS, we used a baseline mean depression score of 17 as the cut-off value for moderate vs. mild depression [89]. The analysis of baseline depression scores excluded two trials – the trial conducted by Keck and colleagues [81] who did not report baseline scores, and the trial by Nemets and colleagues [71] because it used the Children's Depression Rating Scale and there is no agreement on what score constitutes moderate depression. NA – not applicable.