Depression as a predictor for coronary heart disease: a review and meta-analysis Review Article

Objective: To review and quantify the impact of depression on the development of coronary heart disease (CHD) in initially healthy subjects. Data sources: Cohort studies on depression and CHD were searched in MEDLINE (1966–2000) and PSYCHINFO (1887–2000), bibliographies, expert consultation, and personal reference files. Data selection: Cohort studies with clinical depression or depressive mood as the exposure, and myocardial infarction or coronary death as the outcome. Data extraction: Information on study design, sample size and characteristics, assessment of depression, outcome, number of cases, crude and most-adjusted relative risks, and variables used in multivariate adjustments were abstracted. Data synthesis: Eleven studies met the inclusion criteria. The overall relative risk [RR] for the development of CHD in depressed subjects was 1.64 (95% confidence interval [CI]=1.29–2.08, p<0.001). A sensitivity analysis showed that clinical depression (RR=2.69, 95% CI=1.63–4.43, p<0.001) was a stronger predictor than depressive mood (RR=1.49, 95% CI=1.16–1.92, p=0.02). Conclusion: It is concluded that depression predicts the development of CHD in initially healthy people. The stronger effect size for clinical depression compared to depressive mood points out that there might be a dose-response relationship between depression and CHD. Implications of the findings for a broader bio-psycho-social framework are discussed.