Details

Autor(en) / Beteiligte

• van Dooren, Fleur E P
• Nefs, Giesje
• Schram, Miranda T
• Verhey, Frans R J
• Denollet, Johan
• Pouwer, François
• Berthold, Heiner K.

Titel

Depression and risk of mortality in people with diabetes mellitus: a systematic review and meta-analysis

Ist Teil von

• PloS one, 2013-03, Vol.8 (3), p.e57058-e57058

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2013

Quelle

MEDLINE

Beschreibungen/Notizen

• To examine the association between depression and all-cause and cardiovascular mortality in people with diabetes by systematically reviewing the literature and carrying out a meta-analysis of relevant longitudinal studies. PUBMED and PSYCINFO were searched for articles assessing mortality risk associated with depression in diabetes up until August 16, 2012. The pooled hazard ratios were calculated using random-effects models. Sixteen studies met the inclusion criteria, which were pooled in an overall all-cause mortality estimate, and five in a cardiovascular mortality estimate. After adjustment for demographic variables and micro- and macrovascular complications, depression was associated with an increased risk of all-cause mortality (HR = 1.46, 95% CI = 1.29-1.66), and cardiovascular mortality (HR = 1.39, 95% CI = 1.11-1.73). Heterogeneity across studies was high for all-cause mortality and relatively low for cardiovascular mortality, with an I-squared of respectively 78.6% and 39.6%. Subgroup analyses showed that the association between depression and mortality not significantly change when excluding three articles presenting odds ratios, yet this decreased heterogeneity substantially (HR = 1.49, 95% CI = 1.39-1.61, I-squared = 15.1%). A comparison between type 1 and type 2 diabetes could not be undertaken, as only one study reported on type 1 diabetes specifically. Depression is associated with an almost 1.5-fold increased risk of mortality in people with diabetes. Research should focus on both cardiovascular and non-cardiovascular causes of death associated with depression, and determine the underlying behavioral and physiological mechanisms that may explain this association.