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

Autor: Matias Ca Melo, André F. Carvalho, Brendon Stubbs, Marco Solmi, Lazaros Belbasis, Brisa Simoes Fernandes, Mark Olfson, Evangelos Evangelou, Cristiano A. Köhler, Beatrice Bortolato, John P. A. Ioannidis, Nicola Veronese, Camila A Coelho
Přispěvatelé: Köhler, C.A., Evangelou, E., Stubbs, B., Solmi, M., Veronese, N., Belbasis, L., Bortolato, B., Melo, M.C.A., Coelho, C.A., Fernandes, B.S., Olfson, M., Ioannidis, J.P.A., Carvalho, A.F.
Jazyk: angličtina
Rok vydání: 2018
Předmět:
MOOD DISORDERS
PUBLISHED LITERATURE
Longevity
PsycINFO
Risk Assessment
17 Psychology And Cognitive Sciences
03 medical and health sciences
Umbrella review
0302 clinical medicine
Mendelian randomization
IMPAIRED GLUCOSE-METABOLISM
medicine
Humans
OLDER-ADULTS
Biological Psychiatry
Depression (differential diagnoses)
Psychiatry
Science & Technology
business.industry
Depression
Prevention
genetic risk factor
Prediction interval
MAJOR DEPRESSION
11 Medical And Health Sciences
Mendelian Randomization Analysis
medicine.disease
ADEQUATE PARENTAL CARE
Mental health
Confidence interval
ADULT DEPRESSION
030227 psychiatry
Meta-analyses
Risk factors
SYSTEMATIC REVIEWS
Psychiatry and Mental health
Systematic review
Mood disorders
INDIVIDUAL PARTICIPANT DATA
business
Life Sciences & Biomedicine
MENTAL-HEALTH
030217 neurology & neurosurgery
Demography
Zdroj: Köhler, C A, Evangelou, E, Stubbs, B, Solmi, M, Veronese, N, Belbasis, L, Bortolato, B, Melo, M C A, Coelho, C A, Fernandes, B S, Olfson, M, Ioannidis, J P A & Carvalho, A F 2018, ' Mapping risk factors for depression across the lifespan : An umbrella review of evidence from meta-analyses and Mendelian randomization studies ', Journal of psychiatric research . https://doi.org/10.1016/j.jpsychires.2018.05.020
Popis: 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
Databáze: OpenAIRE