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Factors Determining the Agreement between Aerobic Threshold and Point of Maximal Fat Oxidation: Follow-Up on a Systematic Review and Meta-Analysis on Association

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  • Carlo Ferri Marini

    (Department of Biomolecular Sciences, Division of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
    These authors contributed equally to this work.)

  • Philippe Tadger

    (Real World Evidence, IQVIA, 3600 Genk, Belgium
    These authors contributed equally to this work.)

  • Isaac Armando Chávez-Guevara

    (Department of Chemical Sciences, Biomedical Sciences Institute, Ciudad Juarez Autonomous University, Chihuahua 32310, Mexico)

  • Elizabeth Tipton

    (Department of Statistics and Data Science, Northwestern University, Evanston, IL 60208, USA)

  • Marco Meucci

    (Department of Health and Exercise Science, Appalachian State University, Boone, NC 28608, USA)

  • Zoran Nikolovski

    (Faculty of Kinesiology, University of Split, 21000 Split, Croatia)

  • Francisco Jose Amaro-Gahete

    (Department of Physiology, Faculty of Medicine, University of Granada, 18001 Granada, Spain
    PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Department of Physical and Sports Education, School of Sports Science, University of Granada, 18011 Granada, Spain
    EFFECTS-262 Research Group, Department of Physiology, School of Medicine, University of Granada, 18016 Granada, Spain
    Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain)

  • Ratko Peric

    (Department for Exercise Physiology, Orthopedic Clinic Orthosport, 78000 Banja Luka, Bosnia and Herzegovina)

Abstract

Regular exercise at the intensity matching maximal fat oxidation (FAT max ) has been proposed as a key element in both athletes and clinical populations when aiming to enhance the body’s ability to oxidize fat. In order to allow a more standardized and tailored training approach, the connection between FAT max and the individual aerobic thresholds (AerT) has been examined. Although recent findings strongly suggest that a relationship exists between these two intensities, correlation alone is not sufficient to confirm that the intensities necessarily coincide and that the error between the two measures is small. Thus, this systematic review and meta-analysis aim to examine the agreement levels between the exercise intensities matching FAT max and AerT by pooling limits of agreement in a function of three parameters: (i) the average difference, (ii) the average within-study variation, and (iii) the variation in bias across studies, and to examine the influence of clinical and methodological inter- and intra-study differences on agreement levels. This study was registered with PROSPERO (CRD42021239351) and ClinicalTrials (NCT03789045). PubMed and Google Scholar were searched for studies examining FAT max and AerT connection. Overall, 12 studies with forty-five effect sizes and a total of 774 subjects fulfilled the inclusion criteria. The ROBIS tool for risk of bias assessment was used to determine the quality of included studies. In conclusion, the overall 95% limits of agreement of the differences between FAT max and AerT exercise intensities were larger than the a priori determined acceptable agreement due to the large variance caused by clinical and methodological differences among the studies. Therefore, we recommend that future studies follow a strict standardization of data collection and analysis of FAT max - and AerT-related outcomes.

Suggested Citation

  • Carlo Ferri Marini & Philippe Tadger & Isaac Armando Chávez-Guevara & Elizabeth Tipton & Marco Meucci & Zoran Nikolovski & Francisco Jose Amaro-Gahete & Ratko Peric, 2022. "Factors Determining the Agreement between Aerobic Threshold and Point of Maximal Fat Oxidation: Follow-Up on a Systematic Review and Meta-Analysis on Association," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:453-:d:1017008
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    References listed on IDEAS

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    1. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
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