Mapping risk factors for depression across the lifespan: An umbrella review of evidence from meta-analyses and Mendelian randomization studies

Nicola Veronese, Evangelos Evangelou, Brisa S. Fernandes, John P.A. Ioannidis, Lazaros Belbasis, Nicola Veronese, Cristiano A. Köhler, André F. Carvalho, Matias C.A. Melo, Beatrice Bortolato, Camila A. Coelho, Brendon Stubbs, André F. Carvalho, John P.A. Ioannidis, Marco Solmi, Mark Olfson

Risultato della ricerca: Articlepeer review

62 Citazioni (Scopus)


The development of depression may involve a complex interplay of environmental and genetic risk factors. PubMed and PsycInfo databases were searched from inception through August 3, 2017, to identify meta-analyses and Mendelian randomization (MR) studies of environmental risk factors associated with depression. For each eligible meta-analysis, we estimated the summary effect size and its 95% confidence interval (CI) by random-effects modeling, the 95% prediction interval, heterogeneity with I 2 , and evidence of small-study effects and excess significance bias. Seventy meta-analytic reviews met the eligibility criteria and provided 134 meta-analyses for associations from 1283 primary studies. While 109 associations were nominally significant (P < 0.05), only 8 met the criteria for convincing evidence and, when limited to prospective studies, convincing evidence was found in 6 (widowhood, physical abuse during childhood, obesity, having 4–5 metabolic risk factors, sexual dysfunction, job strain). In studies in which depression was assessed through a structured diagnostic interview, only associations with widowhood, job strain, and being a Gulf War veteran were supported by convincing evidence. Additionally, 8 MR studies were included and provided no consistent evidence for the causal effects of obesity, smoking, and alcohol consumption. The proportion of variance explained by genetic risk factors was extremely small (0.1–0.4%), which limited the evidence provided by the MR studies. Our findings suggest that despite the large number of putative risk factors investigated in the literature, few associations were supported by robust evidence. The current findings may have clinical and research implications for the early identification of individuals at risk for depression. © 2018 Elsevier Ltd
Lingua originaleEnglish
pagine (da-a)189-207
Numero di pagine19
RivistaJournal of Psychiatric Research
Stato di pubblicazionePublished - 2018

All Science Journal Classification (ASJC) codes

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