Premium
Depression and cardiovascular risk factors: evidence from a large postmortem sample
Author(s) -
Suemoto Claudia K.,
Damico Marcio V.,
Ferretti Renata E. L.,
Grinberg Lea T.,
Farfel José Marcelo,
Leite Renata E. P.,
Nitrini Ricardo,
Lafer Beny,
JacobFilho Wilson,
Pasqualucci Carlos A.,
Group Brazilian Aging Brain Study
Publication year - 2013
Publication title -
international journal of geriatric psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 129
eISSN - 1099-1166
pISSN - 0885-6230
DOI - 10.1002/gps.3850
Subject(s) - depression (economics) , medicine , odds ratio , confidence interval , demography , logistic regression , socioeconomic status , cross sectional study , population , incidence (geometry) , gerontology , psychiatry , environmental health , pathology , physics , sociology , optics , economics , macroeconomics
Objectives We aimed to investigate the association of depression with cardiovascular risk factors and diseases (CVRFD) in a large population‐based sample. Methods This cross‐sectional study included 1012 deceased individuals greater than 50 years of age from a general autopsy service located in São Paulo, Brazil. Demographics, socioeconomic profile, and CVRFD information were collected by caregivers from the deceased individuals from the Brain Bank of the Brazilian Aging Brain Study Group. Depression diagnosed using the Structured Clinical Interview for Diagnostic and Statistical Mental Disorders was the main outcome. Results Depression was associated with female gender (odds ratio (OR) = 1.86; 95% confidence interval (CI) = 1.28–2.71, p = 0.001), widowhood (OR = 1.54; 95% CI = 1.03–2.32, p = 0.04), physical inactivity (OR = 1.61; 95% CI = 1.15–2.26, p = 0.006), and smoking (OR = 2.03; 95% CI = 1.40–2.95, p < 0.001) after multivariate logistic regression analysis. Other CVRFD were not associated with the presence of depression. Conclusions In our cross‐sectional study, sedentary individuals and smokers showed a higher chance of depression during lifetime. Measures to control these common risk factors could decrease the incidence of depression. Copyright © 2012 John Wiley & Sons, Ltd.