Blood, Sweat, and Tears: Implications for Hydration Testing in Combat Sports—Investigating Body Mass Loss and Biomarker Changes
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2024
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| author | Colin S. Doherty Lauren V. Fortington Oliver R. Barley |
| author_facet | Colin S. Doherty Lauren V. Fortington Oliver R. Barley Colin S. Doherty Lauren V. Fortington Oliver R. Barley |
| collection | Wiley Open Access |
| contents | Blood, Sweat, and Tears: Implications for Hydration Testing in Combat Sports—Investigating Body Mass Loss and Biomarker Changes Colin S. Doherty Lauren V. Fortington Oliver R. Barley Scandinavian Journal of Medicine & Science in Sports ABSTRACTCombat sports athletes often undergo rapid body mass loss (BML), which presents health risks. Hydration testing has been proposed as a possible solution to reduce or eliminate rapid BML. However, combat sports athletes may exhibit distinct physiological characteristics due to repeated exposure to BML. Thus, traditional and emerging hydration biomarkers should be investigated to determine their potential suitability for field use in this cohort. This study examined whether BML can explain changes in serum and urine osmolality (SosmΔ, UosmΔ), tear osmolarity (TosmΔ), hematocrit (HctΔ), and urine‐specific gravity (USGΔ) after mild–moderate passive dehydration. Biomarker reliability was also assessed across two trials. Fifteen male and female combat sports athletes (age: 26.3 ± 5.3 years, body mass: 67.7 ± 9.9 kg) underwent a sauna protocol twice (5–28 days apart) aiming for 4% BML. The average BML in Trials 1 and 2 was 3.0 ± 0.7%. Regression analysis revealed that BML explained HctΔ (R2 = 0.22, p = 0.009) but not SosmΔ (R2 = 0.11, p = 0.079) or other biomarkers. Intraclass correlation coefficients (ICCs) were significant for all biomarkers except TosmΔ (ICC = 0.06, p = 0.37) and post‐Tosm (ICC = 0.04, p = 0.42); post‐Hct performed best (ICC = 0.82, p < 0.001). Contingency tables with post‐Sosm (295 mOsm/kg) and post‐USG (1.020) cutoffs revealed an 80% true negative rate (TNR) and a 62% true positive rate (TPR). Increasing the Sosm cutoff to 301 mOsm/kg decreased the TNR to 52% but increased the TPR to 83%. Although blood parameters were most sensitive to BML, they could only explain 11%–22% of biomarker variation. The typical USG cutoff misclassified 42% of athletes postdehydration, and reliability was generally poor‐moderate. Alternative strategies should be pursued to manage rapid BML in combat sports. 10.1111/sms.14701 http://creativecommons.org/licenses/by/4.0/ |
| doi_str_mv | 10.1111/sms.14701 |
| format | Artículo Open Access |
| id | wiley_oa_10_1111_sms_14701 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| publishDate | 2024 |
| publisher | Wiley |
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| spellingShingle | Blood, Sweat, and Tears: Implications for Hydration Testing in Combat Sports—Investigating Body Mass Loss and Biomarker Changes Colin S. Doherty Lauren V. Fortington Oliver R. Barley Scandinavian Journal of Medicine & Science in Sports Blood, Sweat, and Tears: Implications for Hydration Testing in Combat Sports—Investigating Body Mass Loss and Biomarker Changes Colin S. Doherty Lauren V. Fortington Oliver R. Barley Scandinavian Journal of Medicine & Science in Sports ABSTRACTCombat sports athletes often undergo rapid body mass loss (BML), which presents health risks. Hydration testing has been proposed as a possible solution to reduce or eliminate rapid BML. However, combat sports athletes may exhibit distinct physiological characteristics due to repeated exposure to BML. Thus, traditional and emerging hydration biomarkers should be investigated to determine their potential suitability for field use in this cohort. This study examined whether BML can explain changes in serum and urine osmolality (SosmΔ, UosmΔ), tear osmolarity (TosmΔ), hematocrit (HctΔ), and urine‐specific gravity (USGΔ) after mild–moderate passive dehydration. Biomarker reliability was also assessed across two trials. Fifteen male and female combat sports athletes (age: 26.3 ± 5.3 years, body mass: 67.7 ± 9.9 kg) underwent a sauna protocol twice (5–28 days apart) aiming for 4% BML. The average BML in Trials 1 and 2 was 3.0 ± 0.7%. Regression analysis revealed that BML explained HctΔ (R2 = 0.22, p = 0.009) but not SosmΔ (R2 = 0.11, p = 0.079) or other biomarkers. Intraclass correlation coefficients (ICCs) were significant for all biomarkers except TosmΔ (ICC = 0.06, p = 0.37) and post‐Tosm (ICC = 0.04, p = 0.42); post‐Hct performed best (ICC = 0.82, p < 0.001). Contingency tables with post‐Sosm (295 mOsm/kg) and post‐USG (1.020) cutoffs revealed an 80% true negative rate (TNR) and a 62% true positive rate (TPR). Increasing the Sosm cutoff to 301 mOsm/kg decreased the TNR to 52% but increased the TPR to 83%. Although blood parameters were most sensitive to BML, they could only explain 11%–22% of biomarker variation. The typical USG cutoff misclassified 42% of athletes postdehydration, and reliability was generally poor‐moderate. Alternative strategies should be pursued to manage rapid BML in combat sports. 10.1111/sms.14701 http://creativecommons.org/licenses/by/4.0/ |
| title | Blood, Sweat, and Tears: Implications for Hydration Testing in Combat Sports—Investigating Body Mass Loss and Biomarker Changes |
| topic | Scandinavian Journal of Medicine & Science in Sports |
| url | https://onlinelibrary.wiley.com/doi/10.1111/sms.14701 |