0000000000249663

AUTHOR

Beatrice Bortolato

showing 2 related works from this author

Prevalence, incidence and mortality from cardiovascular disease in patients with pooled and specific severe mental illness: a large-scale meta-analys…

2017

People with severe mental illness (SMI) – schizophrenia, bipolar disorder and major depressive disorder – appear at risk for cardiovascular disease (CVD), but a comprehensive meta-analysis is lacking. We conducted a large-scale meta-analysis assessing the prevalence and incidence of CVD; coronary heart disease; stroke, transient ischemic attack or cerebrovascular disease; congestive heart failure; peripheral vascular disease; and CVD-related death in SMI patients (N=3,211,768) versus controls (N=113,383,368) (92 studies). The pooled CVD prevalence in SMI patients (mean age 50 years) was 9.9% (95% CI: 7.4-13.3). Adjusting for a median of seven confounders, patients had significantly higher o…

medicine.medical_specialtyCardiovascular disease; bipolar disorder; cerebrovascular disease; congestive heart failure; coronary heart disease; major depression; premature mortality; schizophrenia; severe mental illness03 medical and health sciences0302 clinical medicinesevere mental illnessMedicineCardiovascular disease severe mental illness schizophrenia bipolar disorder major depression coronary heart disease cerebrovascular disease congestive heart failure premature mortalitycoronary heart diseasePsychiatrybipolar disorderFramingham Risk Scorebusiness.industryVascular diseaseIncidence (epidemiology)Hazard ratioCorrectionOdds ratiomedicine.diseaseCardiovascular disease030227 psychiatrycerebrovascular diseaseschizophreniaPsychiatry and Mental healthcongestive heart failurepremature mortalityHeart failureMajor depressive disorderPshychiatric Mental Healthbusinessmajor depressionBody mass index030217 neurology & neurosurgery
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Mapping risk factors for depression across the lifespan: An umbrella review of evidence from meta-analyses and Mendelian randomization studies

2018

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 studie…

MOOD DISORDERSPUBLISHED LITERATURELongevityPsycINFORisk Assessment17 Psychology And Cognitive Sciences03 medical and health sciencesUmbrella review0302 clinical medicineMendelian randomizationIMPAIRED GLUCOSE-METABOLISMmedicineHumansOLDER-ADULTSBiological PsychiatryDepression (differential diagnoses)PsychiatryScience & Technologybusiness.industryDepressionPreventiongenetic risk factorPrediction intervalMAJOR DEPRESSION11 Medical And Health SciencesMendelian Randomization Analysismedicine.diseaseADEQUATE PARENTAL CAREMental healthConfidence intervalADULT DEPRESSION030227 psychiatryDepression; Meta-analyses; Prevention; Psychiatry; Risk factors; Umbrella reviewSYSTEMATIC REVIEWSPsychiatry and Mental healthSystematic reviewMood disordersRisk factorsMeta-analysesINDIVIDUAL PARTICIPANT DATAbusinessLife Sciences & BiomedicineMENTAL-HEALTH030217 neurology & neurosurgeryDemography
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