Journal article

The addition of depression to the Framingham Risk Equation model for predicting coronary heart disease risk in women

Adrienne O'Neil, Aaron J Fisher, Katherine J Kibbey, Felice N Jacka, Mark A Kotowicz, Lana J Williams, Amanda L Stuart, Michael Berk, Paul A Lewandowski, John J Atherton, Craig B Taylor, Julie A Pasco

PREVENTIVE MEDICINE | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2016

Abstract

BACKGROUND: Depression is widely considered to be an independent and robust predictor of Coronary Heart Disease (CHD), however is seldom considered in the context of formal risk assessment. We assessed whether the addition of depression to the Framingham Risk Equation (FRE) improved accuracy for predicting 10-year CHD in a sample of women. DESIGN: A prospective, longitudinal design comprising an age-stratified, population-based sample of Australian women collected between 1993 and 2011 (n=862). METHODS: Clinical depressive disorder was assessed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID-I/NP), using retrospective age-of-onset data...

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Grants

Awarded by Victorian Health Promotion Foundation


Awarded by NHMRC


Awarded by Deakin University Central Grants Scheme


Funding Acknowledgements

The GOS was supported by grants from the Victorian Health Promotion Foundation (91-0095) and the NHMRC (projects 251638, 454356, 509103 and 628582) as well as Deakin University Central Grants Scheme (RM27681). AO is supported by a NHMRC ECR Fellowship (1052865). LJW is supported by a NHMRC Career Development Fellowship (1064272). MB is supported by a NHMRC Senior Principal Research Fellowship (1059660). We would like to thank all GOS project staff and participants.