TY - JOUR
T1 - Personality disorders and traits as predictors of incident cardiovascular disease
T2 - Findings from the 23-year follow-up of the Baltimore ECA study
AU - Lee, Hochang Benjamin
AU - Bienvenu, O. Joseph
AU - Cho, Seong Jin
AU - Ramsey, Christine M.
AU - Bandeen-Roche, Karen
AU - Eaton, William W
AU - Nestadt, Gerald
N1 - Funding Information:
This research was supported by grants MH68793 (Lee) , K23 MH64543 (Bienvenu) , MH50616 (Nestadt) , and MH47447 (Eaton) from the National Institute of Mental Health .
PY - 2010
Y1 - 2010
N2 - Background: Over the past several decades, the relationship between personality traits and heart disease has interested clinicians and researchers alike. Objective: The authors investigated personality disorders (PDs) and PD dimensional traits as prospective risk factors for incident cardiovascular disease (CVD) in the Baltimore Epidemiologic Catchment Area (ECA) follow-up study. Method: In 1981, 244 community residents were examined for DSM-III PDs, and PD dimensional traits and were followed for incident CVD by 2004. Results: Logistic-regression models with or without adjustment for potential confounders revealed that Cluster B PD and PD dimensional traits at baseline were consistently associated with increased risk of incident CVD by 2004. Post-hoc analysis also revealed that Cluster B PD and traits also predict CVD mortality. Conclusion: Cluster B PDs and dimensional traits may be independent risk factors for incident CVD in the community.
AB - Background: Over the past several decades, the relationship between personality traits and heart disease has interested clinicians and researchers alike. Objective: The authors investigated personality disorders (PDs) and PD dimensional traits as prospective risk factors for incident cardiovascular disease (CVD) in the Baltimore Epidemiologic Catchment Area (ECA) follow-up study. Method: In 1981, 244 community residents were examined for DSM-III PDs, and PD dimensional traits and were followed for incident CVD by 2004. Results: Logistic-regression models with or without adjustment for potential confounders revealed that Cluster B PD and PD dimensional traits at baseline were consistently associated with increased risk of incident CVD by 2004. Post-hoc analysis also revealed that Cluster B PD and traits also predict CVD mortality. Conclusion: Cluster B PDs and dimensional traits may be independent risk factors for incident CVD in the community.
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U2 - 10.1176/appi.psy.51.4.289
DO - 10.1176/appi.psy.51.4.289
M3 - Article
C2 - 20587756
AN - SCOPUS:77955630857
SN - 0033-3182
VL - 51
SP - 289
EP - 296
JO - Psychosomatics
JF - Psychosomatics
IS - 4
ER -