{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:16:23Z","timestamp":1760145383035,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:00:00Z","timestamp":1720483200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Cesumar Institute of Science, Technology, and Innovation (ICETI\u2014UniCesumar)","award":["UIDB\/00617\/2020"],"award-info":[{"award-number":["UIDB\/00617\/2020"]}]},{"name":"FCT","award":["UIDB\/00617\/2020"],"award-info":[{"award-number":["UIDB\/00617\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>This study aimed to investigate the resting metabolic rate (RMR) in cross-training practitioners (advanced and novice) using indirect calorimetry (IC) and compare it with predictive equations proposed in the scientific literature. Methods: A cross-sectional and comparative study analyzed 65 volunteers, both sexes, practicing cross-training (CT). Anthropometry and body composition were assessed, and RMR was measured by IC (FitMate PRO\u00ae), bioimpedance (BIA-InBody 570\u00ae), and six predictive equations. Data normality was tested by the Kolgomorov\u2013Smirnov test and expressed as mean \u00b1 standard deviation with 95% confidence intervals (CI), chi-square test was performed to verify ergogenic resources, and a Bland\u2013Altman plot (B&amp;A) was made to quantify the agreement between two quantitative measurements. One-way ANOVA was applied to body composition parameters, two-way ANOVA with Bonferroni post hoc was used to compare the RMR between groups, and two-way ANCOVA was used to analyze the adjusted RMR for body and skeletal muscle mass. The effect size was determined using Cohen\u2019s d considering the values adjusted by ANCOVA. If a statistical difference was found, post hoc Bonferroni was applied. The significance level was p &lt; 0.05 for all tests. Results: The main results indicated that men showed a higher RMR than women, and the most discrepant equations were Cunningham, Tinsley (b), and Johnstone compared to IC. Tinsley\u2019s (a) equation indicated greater precision in measuring the RMR in CM overestimated it by only 1.9%, and BIA and the Harris\u2013Benedict in CW overestimated RMR by only 0.1% and 3.4%, respectively. Conclusions: The BIA and Harris\u2013Benedict equation could be used reliably to measure the RMR of females, while Tinsley (a) is the most reliable method to measure the RMR of males when measuring with IC is unavailable. By knowing which RMR equations are closest to the gold standard, these professionals can prescribe a more assertive diet, training, or ergogenic resources. An assertive prescription increases performance and can reduce possible deleterious effects, maximizing physical sports performance.<\/jats:p>","DOI":"10.3390\/ijerph21070891","type":"journal-article","created":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T13:22:36Z","timestamp":1720531356000},"page":"891","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Comparison between Measured and Predicted Resting Metabolic Rate Equations in Cross-Training Practitioners"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8441-8206","authenticated-orcid":false,"given":"Ana Fl\u00e1via","family":"Sordi","sequence":"first","affiliation":[{"name":"Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"},{"name":"Department of Physiological Sciences, State University of Maring\u00e1, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6503-5576","authenticated-orcid":false,"given":"Bruno Ferrari","family":"Silva","sequence":"additional","affiliation":[{"name":"Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8322-9235","authenticated-orcid":false,"given":"Breno Gabriel da","family":"Silva","sequence":"additional","affiliation":[{"name":"Luiz de Queiroz College of Agriculture\u2013ESALQ, USP Department of Exact Sciences, University of Sao Paulo, Sao Paulo 13418-900, Sao Paulo, Brazil"}]},{"given":"D\u00e9borah Cristina de Souza","family":"Marques","sequence":"additional","affiliation":[{"name":"Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"},{"name":"Graduate Program in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"},{"name":"Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto 4200-450, Portugal"}]},{"given":"Isabela Mariano","family":"Ramos","sequence":"additional","affiliation":[{"name":"Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5134-222X","authenticated-orcid":false,"given":"Maria Luiza Amaro","family":"Camilo","sequence":"additional","affiliation":[{"name":"Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"},{"name":"Graduate Program in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7571-9181","authenticated-orcid":false,"given":"Jorge","family":"Mota","sequence":"additional","affiliation":[{"name":"Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto 4200-450, Portugal"},{"name":"Laboratory for Integrative and Translational Research in Population Health (ITR), Porto 4050-600, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3948-8280","authenticated-orcid":false,"given":"Pablo","family":"Vald\u00e9s-Badilla","sequence":"additional","affiliation":[{"name":"Department of Physical Activity Sciences, Faculty of Education Sciences, Universidad Cat\u00f3lica del Maule, Talca 3530000, Chile"},{"name":"Sports Coach Career, School of Education, Universidad Vi\u00f1a del Mar, Vi\u00f1a del Mar 2520000, Chile"}]},{"given":"Sidney Barnab\u00e9","family":"Peres","sequence":"additional","affiliation":[{"name":"Department of Physiological Sciences, State University of Maring\u00e1, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}]},{"given":"Braulio Henrique Magnani","family":"Branco","sequence":"additional","affiliation":[{"name":"Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"},{"name":"Graduate Program in Health Promotion, Cesumar University, Maring\u00e1 87050-390, Paran\u00e1, Brazil"},{"name":"Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto 4200-450, Portugal"},{"name":"Laboratory for Integrative and Translational Research in Population Health (ITR), Porto 4050-600, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-G\u00f3mez, R., Valenzuela, P.L., Alejo, L.B., Gil-Cabrera, J., Montalvo-P\u00e9rez, A., Talavera, E., Lucia, A., Moral-Gonz\u00e1lez, S., and Barranco-Gil, D. 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