IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6479-d824814.html
   My bibliography  Save this article

A Systematic Review and Meta-Analysis on the Association and Differences between Aerobic Threshold and Point of Optimal Fat Oxidation

Author

Listed:
  • Ratko Peric

    (Department for Exercise Physiology, Orthopedic Clinic Orthosport, 78000 Banja Luka, Bosnia and Herzegovina
    Faculty of Kinesiology, University of Split, 21000 Split, Croatia)

  • Zoran Nikolovski

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

  • Marco Meucci

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

  • Philippe Tadger

    (Real World Evidence, IQVIA, 3600 Genk, Belgium)

  • 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.)

  • Francisco José Amaro-Gahete

    (Department of Physiology, Faculty of Medicine, University of Granada, 18001 Granada, Spain
    PROFITH “PROmoting FITness and Health through Physical Activity” Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18001 Granada, Spain
    These authors contributed equally to this work.)

Abstract

Over the past two decades, scientists have attempted to evaluate whether the point of maximal fat oxidation (FAT max ) and the aerobic threshold (AerT) are connected. The existence of such a relationship would allow a more tailored training approach for athletes while improving the efficacy of individualized exercise prescriptions when treating numerous health-related issues. However, studies have reported conflicting results, and this issue remains unresolved. This systematic review and meta-analysis aimed: (i) to examine the strength of the association between FAT max and AerT by using the effect size (ES) of correlation coefficient (r) and standardized mean difference (SMD); (ii) to identify potential moderators and their influence on ES variability. This study was registered with PROSPERO (CRD42021239351) and ClinicalTrials (NCT03789045). PubMed and Google Scholar were searched and fourteen articles, consisting of overall 35 ES for r and 26 ES for SMD were included. Obtained ESs were analyzed using a multilevel random-effects meta-analysis. Our results support the presence of a significant association between FAT max and AerT exercise intensities. In conclusion, due to the large ES variance caused by clinical and methodological differences among the studies, we recommend that future studies follow strict standardization of data collection and analysis of FAT max and AerT-related outcomes.

Suggested Citation

  • Ratko Peric & Zoran Nikolovski & Marco Meucci & Philippe Tadger & Carlo Ferri Marini & Francisco José Amaro-Gahete, 2022. "A Systematic Review and Meta-Analysis on the Association and Differences between Aerobic Threshold and Point of Optimal Fat Oxidation," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6479-:d:824814
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6479/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/11/6479/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julian P. T. Higgins & Simon G. Thompson & David J. Spiegelhalter, 2009. "A re‐evaluation of random‐effects meta‐analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 137-159, January.
    2. Isaac A. Chávez-Guevara & René Urquidez-Romero & Jorge A. Pérez-León & Everardo González-Rodríguez & Verónica Moreno-Brito & Arnulfo Ramos-Jiménez, 2020. "Chronic Effect of Fatmax Training on Body Weight, Fat Mass, and Cardiorespiratory Fitness in Obese Subjects: A Meta-Analysis of Randomized Clinical Trials," IJERPH, MDPI, vol. 17(21), pages 1-18, October.
    3. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    4. Giovanna Zimatore & Lavinia Falcioni & Maria Chiara Gallotta & Valerio Bonavolontà & Matteo Campanella & Marco De Spirito & Laura Guidetti & Carlo Baldari, 2021. "Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-15, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. JANSSENS, Jochen & DE CORTE, Annelies & SÖRENSEN, Kenneth, 2016. "Water distribution network design optimisation with respect to reliability," Working Papers 2016007, University of Antwerp, Faculty of Business and Economics.
    2. Teruaki Kido & Yuko Yotsumoto & Masamichi J. Hayashi, 2025. "Hierarchical representations of relative numerical magnitudes in the human frontoparietal cortex," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    3. Raymond Hernandez & Elizabeth A. Pyatak & Cheryl L. P. Vigen & Haomiao Jin & Stefan Schneider & Donna Spruijt-Metz & Shawn C. Roll, 2021. "Understanding Worker Well-Being Relative to High-Workload and Recovery Activities across a Whole Day: Pilot Testing an Ecological Momentary Assessment Technique," IJERPH, MDPI, vol. 18(19), pages 1-17, October.
    4. Elisabeth Beckmann & Lukas Olbrich & Joseph Sakshaug, 2024. "Multivariate assessment of interviewer-related errors in a cross-national economic survey (Lukas Olbrich, Elisabeth Beckmann, Joseph W. Sakshaug)," Working Papers 253, Oesterreichische Nationalbank (Austrian Central Bank).
    5. Valentina Krenz & Arjen Alink & Tobias Sommer & Benno Roozendaal & Lars Schwabe, 2023. "Time-dependent memory transformation in hippocampus and neocortex is semantic in nature," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    6. Morán-Ordóñez, Alejandra & Ameztegui, Aitor & De Cáceres, Miquel & de-Miguel, Sergio & Lefèvre, François & Brotons, Lluís & Coll, Lluís, 2020. "Future trade-offs and synergies among ecosystem services in Mediterranean forests under global change scenarios," Ecosystem Services, Elsevier, vol. 45(C).
    7. Damian M. Herz & Manuel Bange & Gabriel Gonzalez-Escamilla & Miriam Auer & Keyoumars Ashkan & Petra Fischer & Huiling Tan & Rafal Bogacz & Muthuraman Muthuraman & Sergiu Groppa & Peter Brown, 2022. "Dynamic control of decision and movement speed in the human basal ganglia," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    8. Dongyan Liu & Chongran Zhou & John K. Keesing & Oscar Serrano & Axel Werner & Yin Fang & Yingjun Chen & Pere Masque & Janine Kinloch & Aleksey Sadekov & Yan Du, 2022. "Wildfires enhance phytoplankton production in tropical oceans," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    9. Zhaogeng Yang & Yanhui Li & Peijin Hu & Jun Ma & Yi Song, 2020. "Prevalence of Anemia and its Associated Factors among Chinese 9-, 12-, and 14-Year-Old Children: Results from 2014 Chinese National Survey on Students Constitution and Health," IJERPH, MDPI, vol. 17(5), pages 1-10, February.
    10. Sofia Dias & Alex J. Sutton & Nicky J. Welton & A. E. Ades, 2013. "Evidence Synthesis for Decision Making 3," Medical Decision Making, , vol. 33(5), pages 618-640, July.
    11. Marco Lopez-Cruz & Fernando M. Aguate & Jacob D. Washburn & Natalia Leon & Shawn M. Kaeppler & Dayane Cristina Lima & Ruijuan Tan & Addie Thompson & Laurence Willard Bretonne & Gustavo los Campos, 2023. "Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    12. Baumann, Elias & Kern, Jana & Lessmann, Stefan, 2019. "Usage Continuance in Software-as-a-Service," IRTG 1792 Discussion Papers 2019-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    13. repec:cup:judgdm:v:16:y:2021:i:1:p:201-237 is not listed on IDEAS
    14. C. Gabriel Hidalgo Pizango & Eurídice N. Honorio Coronado & Jhon del Águila-Pasquel & Gerardo Flores Llampazo & Johan de Jong & César J. Córdova Oroche & José M. Reyna Huaymacari & Steve J. Carver & D, 2022. "Sustainable palm fruit harvesting as a pathway to conserve Amazon peatland forests," Nature Sustainability, Nature, vol. 5(6), pages 479-487, June.
    15. Evans O. Mudibo & Jasper Bogaert & Caroline Tigoi & Moses M. Ngari & Benson O. Singa & Christina L. Lancioni & Abdoulaye Hama Diallo & Emmie Mbale & Ezekiel Mupere & John Mukisa & Johnstone Thitiri & , 2024. "Systemic biological mechanisms underpin poor post-discharge growth among severely wasted children with HIV," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    16. Lin-Lin Wang & Zachary Y. Huang & Wen-Fei Dai & Yong-Ping Yang & Yuan-Wen Duan, 2024. "Mixed effects of honey bees on pollination function in the Tibetan alpine grasslands," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    17. Szefer Elena & Lu Donghuan & Nathoo Farouk & Beg Mirza Faisal & Graham Jinko, 2017. "Multivariate association between single-nucleotide polymorphisms in Alzgene linkage regions and structural changes in the brain: discovery, refinement and validation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(5-6), pages 367-386, December.
    18. Julien Collet & Samantha C Patrick & Henri Weimerskirch, 2017. "A comparative analysis of the behavioral response to fishing boats in two albatross species," Behavioral Ecology, International Society for Behavioral Ecology, vol. 28(5), pages 1337-1347.
    19. Sean Coogan & Zhixian Sui & David Raubenheimer, 2018. "Gluttony and guilt: monthly trends in internet search query data are comparable with national-level energy intake and dieting behavior," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.
    20. Morris, Tim P & White, Ian R & Pham, Tra My & Quartagno, Matteo, 2023. "How to check a simulation study," OSF Preprints cbr72, Center for Open Science.
    21. Darcy Steeg Morris & Kimberly F. Sellers, 2022. "A Flexible Mixed Model for Clustered Count Data," Stats, MDPI, vol. 5(1), pages 1-18, January.

    More about this item

    Keywords

    AerT; exercise; FAT max ; multilevel;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6479-:d:824814. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.