Preventing the Onset of Major Depressive Disorder: A Meta-analytic Review of Psychological Interventions

Kim van Zoonen; Claudia Buntrock; David Daniel Ebert; Filip Smit; Charles F Reynolds III; Aartjan TF Beekman; Pim Cuijpers

Disclosures

Int J Epidemiol. 2014;43(2):318-329. 

In This Article

Discussion

We examined whether preventive interventions are effective in reducing the incidence of MDD. Results showed that preventive interventions lowered the incidence of depression by 21%, compared with controls. This is in agreement with the results of the previous meta-analyses conducted by Cuijpers et al. in 2008. A reduction in incidence of 21% can be considered clinically relevant. In the current meta-analysis we only included studies that used diagnostic criteria at baseline and follow-up, to exclude cases of depression at baseline and assess diagnostic status at follow-up. Using these rigorous criteria and the relatively large number of trials, this meta-analysis offers more robust evidence on the impact of preventive interventions on the incidence of new depressions than any previous meta-analysis.

The current meta-analyses did not show IPT to be more effective than CBT. This is in contrast to the findings of our earlier meta-analyses. Examining the NNT, however, shows that IPT (NNT = 7) is more effective than CBT (NNT = 71). Furthermore, there is no overlap in the 95% confidence intervals, reinforcing our suggestion that IPT might have a greater prophylactic effect than CBT. This result is consistent with our results from the previous meta-analysis conducted in 2008. It should, however, be interpreted with caution, since the number of studies using IPT[5] was considerably lower than the studies using CBT.[20] If IPT is indeed more effective, this might be related to the fact that this type of intervention focuses more directly on the current problems and high-risk situations. This might be exactly what people in high-risk situations or with subthreshold symptoms need.

Also, results did not suggest that indicated prevention (IRR = 0.74) was more effective than selective prevention (IRR = 0.81). However, only two studies investigated universal prevention and those were therefore excluded from analysis.

This does not necessarily imply that universal intervention might not be effective in high-risk subgroups. Rose[58] proposed that there are two strategies to prevention: a population strategy of prevention, which targets a whole population regardless of individual differences in risk status; and an individual strategy of prevention, which targets individuals at high risk for an adverse health outcome.[59] Our meta-analysis is mainly focused on individual prevention. If we used less rigorous inclusion criteria (e.g. no diagnostic instrument to determine whether participants have a diagnosis) we might find results similar to another meta-analysis conducted in 2012.[60] This analysis found a beneficial effect in the prevention of postpartum depression in a range of interventions, individually based as well as multiple contacts. This shows that population-based strategies for prevention are interesting from a public health point of view and have the potential of reducing the incidence of depression considerably. However, our study also makes clear that there are no studies yet that show that population-based strategies actually reduce the incidence of depressive disorders.

Although prevention of depression seems to be effective, the NNT appears high (20 in the overall analysis), which is comparable to the NNT in the earlier analyses by Cuijpers (NNT = 22). There are, however, no normative thresholds for lower or higher NNT.[13] Considering the impact depressive disorders have on social, economic and physical life and the clinical relevance, it seems an acceptable number. As discussed earlier, universal prevention might have a very different approach and yield very different results compared with selective and indicated prevention. Also, there were only two studies using universal prevention in this analysis. Therefore, it might be a consideration to not include universal prevention in other reviews like the current review. Other research did not show that the implemented intervention reduced the depressive symptoms in adolescents at high risk. The intervention was implemented in everyday life situations. The sample consisted of non-referred adolescents from the community. This study was, however, not included in the current meta-analysis because the researchers did not use a diagnostic instrument to diagnose depressive disorders at follow-up.[61] However, the study shows that it is important to investigate the risk factors for depression, which could be due to premorbid vulnerability or due to the experience of previous episodes of depression. Future research should take history of depression into account.

Furthermore, the control/comparison groups in the included studies consisted mostly of treatments like care-as-usual or waiting-list. These are passive rather than active forms of 'treatments'. There is, therefore, no control for face-to-face time and attention. These are, however, nonspecific aspects of structured interventions like IPT or CBT. If future research included more active comparators, it would greatly improve the strength with which conclusions can be drawn about the specific prophylactic value of learning-based psychotherapies.

Most follow-up periods were between 6 and 12 months;[28] only 2 studies had follow-up periods beyond 2 years. Therefore, it is not clear whether preventive interventions actually prevented the incidence of depression or simply delayed the onset of depressive episodes. We performed analyses per follow-up (<5, 6, 7–12, ≥13 months). Comparing the effects of preventive interventions and first follow-up months showed a small positive association, indicating that the more months pass, the more effective the preventive intervention is. However, comparing the effects of preventive interventions and last follow-up period, this had a very small negative association. This might indicate that the effects of the preventive intervention became smaller over longer follow-up periods, uggesting that the preventive interventions delay the onset of disorders rather than preventing them altogether. However, only few studies had longer follow-up periods than 2 years. From a clinical point of view, preventing new onsets of depression would obviously be preferable since it would completely avoid the burden of disease in all prevented cases. However, delaying the onset is also important. Every year a disorder is delayed is a year without suffering.

We acknowledge several limitations of this study. First, several studies examined different populations and used different types of interventions. That said, according to the I 2 statistic, heterogeneity was low to moderate, indicating that it may be a fairly homogeneous set of studies. Second, the follow-up periods differed between studies. We therefore examined the various follow-up periods. However, we also conducted regression analysis with only the first follow-up occasion and regression analysis with only the last follow-up occasion to see whether there was any effect of decay over time. Third, the numbers of studies in some of the subgroup-analyses were rather small and show only correlations. Therefore results should be interpreted with caution.

In conclusion, it is encouraging that we found positive effects of preventive interventions on the incidence of major depression, which are clinically relevant. Prevention of depressive disorders is possible, and may, in addition to treatment, be an important way to further reduce the burden of disease due to a very prevalent and disabling condition: depression.

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