Abstract MPTH63: Effects Of Exercise Training On Predicted ASCVD Risk: Meta-Analysis Across Eight Exercise Training Studies

M Michael Pitre (University of South Carolina, Columbia, South Carolina, United States) E Eric Leszczynski (Michigan State University, East Lansing, Michigan, United States) K Kiani Jacobs (University of South Carolina, Columbia, South Carolina, United States) K Keagan Kiely (University of South Carolina, Columbia, South Carolina, United States) C Charles Schwartz (University of South Carolina, Columbia, South Carolina, United States) M Margaret McBride (University of South Carolina SOM, Columbia, South Carolina, United States) S Shivangi Nayak (University of South Carolina, Columbia, South Carolina, United States) J Jeremy Robbins P Prashant Rao (Beth Israel Deaconess Medical Ctr, Boston, Massachusetts, United States) M Michael Mi (Beth Israel Deaconess Medical Ctr, Boston, Massachusetts, United States) S Sujoy Ghosh R Robert Gerszten D Damon Swift (University of Virginia, Charlottesville, Virginia, United States) M Michael Beets Michael Beets (University of South Carolina, Columbia, South Carolina, United States) N Neil Johannsen (Louisiana State University, Baton Rouge, Louisiana, United States) T Timothy Church (Wondr Health, Dallas, Texas, United States) R Robert Ross D Duck-chul Lee C Claude Bouchard (PENNINGTON BIOMEDICAL RESEARCH CTR, Baton Rouge, Louisiana, United States) W William Kraus (Duke University School of Medicine, Durham, North Carolina, United States) L Leanna Ross (Duke University School of Medicine, Durham, North Carolina, United States) R R. Glenn Weaver (University of South Carolina, Columbia, South Carolina, United States) M Mark Sarzynski (University of South Carolina, Columbia, South Carolina, United States)

Abstract

Background: Atherosclerotic cardiovascular disease (ASCVD) risk scores are commonly used to inform therapeutic strategies in the clinical setting. Although previous studies have shown that individual risk score components, such as HDL-C and total cholesterol, can be improved with regular exercise, few studies have investigated the effect of exercise interventions on composite measures of predicted ASCVD risk. Methods: Data from eight exercise trials (INFLAME; HART-D; CardioRACE; Queen’s; STRRIDEs 1, 2, and PD; HERITAGE) with 21 different interventions varying in exercise mode, amount, and/or intensity were analyzed. ASCVD risk scores were calculated for each participant (n=2,074) at baseline and after exercise training using the pooled cohort equations and Framingham Heart Study algorithm for 10- and 30-year risk, respectively ( Table 1 ). Meta-analysis of study group-specific mean changes in ASCVD risk with training was performed. When available, changes in exercise groups were compared against changes in the respective control group for each study. Since age is the strongest predictor of risk in the equations, additional meta-analysis was performed to examine changes in risk due to age only (phenotype levels held constant between time points), with all groups analyzed individually with no comparison to controls. Results: Exercise training resulted in an absolute decrease in 10-year ASCVD risk of -0.2% (95% CI: -0.3 to -0.1) and -1.2% (95% CI: -1.8 to -0.5) in 30-year risk, with low and high heterogeneity, respectively ( Figure 1 ). An increase in age only would have significantly increased 10- and 30-year risk across all exercise intervention groups by 0.3% (95% CI: 0.2 to 0.3), and 0.6% (95% CI: 0.5 to 0.7), respectively ( Figure 1 ). However, this age-related increase was abolished in all exercise groups except for the resistance training groups in STRRIDE 2 and CardioRACE. Conclusions: We found that a relatively short period of endurance exercise training of differing amounts and/or intensity performed alone or in combination with resistance training can prevent and even reverse the age-related increases in both short- and long-term ASCVD risk.

Article Details

Journal Circulation
Volume / Issue Vol. 153, Issue Suppl_1
Published March 24, 2026
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (23)

M

Michael Pitre

University of South Carolina, Columbia, South Carolina, United States

E

Eric Leszczynski

Michigan State University, East Lansing, Michigan, United States

K

Kiani Jacobs

University of South Carolina, Columbia, South Carolina, United States

K

Keagan Kiely

University of South Carolina, Columbia, South Carolina, United States

C

Charles Schwartz

University of South Carolina, Columbia, South Carolina, United States

M

Margaret McBride

University of South Carolina SOM, Columbia, South Carolina, United States

S

Shivangi Nayak

University of South Carolina, Columbia, South Carolina, United States

J

Jeremy Robbins

P

Prashant Rao

Beth Israel Deaconess Medical Ctr, Boston, Massachusetts, United States

M

Michael Mi

Beth Israel Deaconess Medical Ctr, Boston, Massachusetts, United States

S

Sujoy Ghosh

R

Robert Gerszten

D

Damon Swift

University of Virginia, Charlottesville, Virginia, United States

M

Michael Beets Michael Beets

University of South Carolina, Columbia, South Carolina, United States

N

Neil Johannsen

Louisiana State University, Baton Rouge, Louisiana, United States

T

Timothy Church

Wondr Health, Dallas, Texas, United States

R

Robert Ross

D

Duck-chul Lee

C

Claude Bouchard

PENNINGTON BIOMEDICAL RESEARCH CTR, Baton Rouge, Louisiana, United States

W

William Kraus

Duke University School of Medicine, Durham, North Carolina, United States

L

Leanna Ross

Duke University School of Medicine, Durham, North Carolina, United States

R

R. Glenn Weaver

University of South Carolina, Columbia, South Carolina, United States

M

Mark Sarzynski

University of South Carolina, Columbia, South Carolina, United States