Wearable-Derived Training Load and Coronary Atherosclerosis in Middle-Aged and Older Athletes and Physically Active Controls: A New Perspective From the Master@Heart Study
Abstract
BACKGROUND: Middle-aged and older endurance athletes have increased prevalence of coronary artery disease (CAD) on coronary computed tomography angiography compared with healthy controls, despite similarly low cardiovascular risk. Previous studies relied on self-reported data to quantify training load (TL), which poorly correlates with objective wearable-derived TL and may bias outcomes. The effect of objective TL on CAD risk remains unknown. METHODS: In this observational, cross-sectional analysis of the Master@Heart study, 222 men (median age, 54 [49–59] years) were included: 77 lifelong athletes, 98 late-onset athletes, and 47 controls. TL was assessed using objective wearable-derived training duration and intensity (12 consecutive months), as well as self-reported training measures. Coronary computed tomography angiography–derived CAD prevalence was compared across TL quartiles (Q) using a global unadjusted chi-square test and logistic regression, adjusted for cardiovascular risk factors and years of endurance exercise, to estimate odds ratios between Q4 and Q1. In addition, adjusted logistic regression models were fitted with continuous TL, using smoothing splines to capture potential nonlinear associations. RESULTS: Across quartiles of objective Edwards training impulse (training duration × heart rate–weighted intensity), unadjusted global differences were observed for ≥1 plaque ( P <0.001), coronary artery calcification (CAC)>0 ( P =0.002), and CAC>100 ( P =0.012). Q4 participants had significantly higher adjusted odds of ≥1 plaque (odds ratio, 5.85; 95% CI, 2.33–14.71), CAC>0 (odds ratio, 5.03; 95% CI, 2.04–12.35), and CAC>100 (odds ratio, 3.50; 95% CI, 1.22–10.00) versus Q1. Similar associations were found for objective training duration, whereas no clear associations were observed for relative time spent in high-intensity zones. In continuous analyses, Edwards training impulse and objective training duration showed significant positive associations with ≥1 plaque and CAC>100 ( P <0.05), whereas self-reported training duration was only significantly associated with CAC>100 ( P <0.05). Metabolic equivalent of task-minutes per week based on self-reported TL was not associated with CAD ( P >0.05). CONCLUSIONS: High training duration (hours/week), particularly when combined with cumulative high-intensity TL (Edwards training impulse), was independently associated with increased prevalence of subclinical CAD in middle-aged and older athletes and physically active controls. Exercise intensity alone, in the absence of high duration, was not clearly linked to CAD. These findings underscore the potential of objectively measured TL for understanding associations with subclinical CAD in endurance athletes. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03711539.
Article Details
Authors (45)
Rik Pauwels
Department of Cardiology, Hartcentrum (R.P., J.D.P., Y.B., B.D., L.H., G.C.), Jessa Ziekenhuis, Hasselt, Belgium.
Christophe Dausin
Department of Movement Sciences (C.D.), Katholieke Universiteit Leuven, Belgium.
Sergio Ruiz-Carmona
Department of Cardiology (S.R.-C.), Baker Heart and Diabetes Institute, Melbourne, Australia.
Ruben De Bosscher
Department of Cardiovascular Sciences (R.P., R.D.B., J.D.P., Y.B., B.D., P.S., T.K., T.R., R.W., G.C.), Katholieke Universiteit Leuven, Belgium.
Jarne De Paepe
Department of Cardiology, Hartcentrum (R.P., J.D.P., Y.B., B.D., L.H., G.C.), Jessa Ziekenhuis, Hasselt, Belgium.
Youri Bekhuis
Boris Delpire
Department of Cardiology, Hartcentrum (R.P., J.D.P., Y.B., B.D., L.H., G.C.), Jessa Ziekenhuis, Hasselt, Belgium.
Peter Sinnaeve
Department of Cardiology, Katholieke Universiteit Leuven Universitaire Ziekenhuizen Leuven, Belgium (P.S.).
Steven Dymarkowski
Department of Radiology (S.D.), University Hospitals Leuven, Belgium.
Olivier Ghekiere
Department of Radiology (O.G.), Jessa Ziekenhuis, Hasselt, Belgium.
Liesbeth Bruckers
I-Biostat, Data Science Institute, Hasselt University, Belgium (L.B.).
Tatiana Kuznetsova
Caroline M. Van De Heyning
Department of Cardiovascular Sciences, University of Antwerp, Belgium (C.M.V.D.H., P.L.V.H., H.H.).
Paul L. Van Herck
Department of Cardiovascular Sciences, University of Antwerp, Belgium (C.M.V.D.H., P.L.V.H., H.H.).
Thijs M.H. Eijsvogels
Department of Medical BioSciences, Exercise Physiology Research Group, Radboud University Medical Center, Nijmegen, The Netherlands (T.M.H.E.).
Lieven Herbots
Faculty of Medicine and Life Sciences, Limburg Clinical Research Center, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium (S.D., S.M.F., P.K., E.M., K.T., S.D., L.H., W.M., J.V., P.B.B.).
Tomas Robyns
Department of Cardiovascular Sciences (R.P., R.D.B., J.D.P., Y.B., B.D., P.S., T.K., T.R., R.W., G.C.), Katholieke Universiteit Leuven, Belgium.
André La Gerche
Heart, Exercise and Research Trials Laboratory, Saint Vincent’s Institute of Medical Research, Melbourne, Australia (A.L.G.).
Hein Heidbüchel
University Hospital Antwerp, Antwerp, Belgium
Rik Willems
Department of Cardiovascular Sciences (R.P., R.D.B., J.D.P., Y.B., B.D., P.S., T.K., T.R., R.W., G.C.), Katholieke Universiteit Leuven, Belgium.
Guido Claessen
Jan Bogaert
Kaatje Goetschalckx
Piet Claus
Diane Fatkin
Sofie Van Soest
Kristel Janssens
Mathias Claeys
Peter Hespel
Tom Dresselaers
Hielko Miljoen
Kasper Favere
Bernard Paelinck
Dorien Vermeulen
Isabel Witvrouwen
Dominique Hansen
Bert Op’t Eijnde
Daisy Thijs
Peter Vanvoorden
Kristof Lefebvre
Paolo D’Ambrosio
Stephanie Rowe
Amy M. Mitchell
Luke Spencer
Jürgen Duchenne