Jump to content

New Behavioral Heart Disease Risk Tool from Harvard

Michael R

Recommended Posts





No bloodwork -- just lifestyle factors. Designed around this study:



We developed a lifestyle‐based CVD prediction model among 61 025 women in the Nurses’ Health Study and 34 478 men in the Health Professionals Follow‐up Study, who were free of chronic disease in 1986 and followed for ≤24 years. Lifestyle factors were assessed by questionnaires in 1986.


In the derivation step, we used the Bayes Information Criterion to create parsimonious 20‐year risk prediction models among a random two thirds of participants in each cohort separately. The scores were validated in the remaining one third of participants in each cohort. ...


The Healthy Heart Score included age, smoking, body mass index, exercise, alcohol, and a composite diet score.


In the validation cohort, the risk score demonstrated good discrimination (Harrell's C‐index [correlation between predicted  and actual diseases-free survival] , 0.72; 95% confidence interval [CI], 0.71, 0.74 [women]; 0.77; 95% CI, 0.76, 0.79 [men]), fit, and calibration, particularly among individuals without baseline hypertension or hypercholesterolemia.(1)


A story about this from NPR:



Interestingly, it flagged my BMI as a significant risk, but still gave me an overall "ideal" risk score.



1: Chiuve SE, Cook NR, Shay CM, Rexrode KM, Albert CM, Manson JE, Willett WC,

Rimm EB. Lifestyle-Based Prediction Model for the Prevention of CVD: The Healthy

Heart Score. J Am Heart Assoc. 2014 Nov 14;3(6). pii: e000954. PubMed PMID:



Link to comment
Share on other sites


This topic is now archived and is closed to further replies.

  • Create New...