Depression and risk of gestational diabetes: A meta-analysis of cohort studies

Aims To systematically assess the association between depression and risk of gestational diabetes by a meta-analysis of cohort studies. Methods We searched multiple electronic databases for cohort studies investigating depression and risk of gestational diabetes before December 31th, 2018. Pooled odds ratios (ORs) and confidence intervals (CIs) of the included articles were calculated using a fixed- or random-effect model. Publication bias was detected using the Egger’s and Begg’s tests. Results We obtained 5 cohort studies with a total number of 122,197 women. Women with a history of depression compared with those without it had a significantly increased risk of gestational diabetes (pooled OR = 1.20, 95% CI: 1.09, 1.33) but borderline significant evidence of heterogeneity was observed (I2 = 45.1%, P for heterogeneity = 0.12). Subgroup analysis by study design showed a stronger association in prospective cohort studies than that in retrospective cohort studies (pooled OR: 1.61 [1.17, 2.21] vs. 1.16 [1.05, 1.29]), though the difference was not statistically significant (P for interaction = 0.26). We observed some evidence of publication bias; however, correction for such bias using “trim-and-fill” analysis yielded similar results. Conclusion Women with a history of depression may be at an increased risk of gestational diabetes. Future prospective studies of high quality are needed to confirm our findings.