The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Response of Blood Biomarkers to Sprint Interval Swimming
Abstract
Purpose: To evaluate and compare the effects of 2 sprint interval training (SIT) sets of different distances on biochemical markers indicative of metabolism, stress, and antioxidant capacity in competitive swimmers and, to investigate the potential influence of gender on these markers. Methods: Twenty-four adolescent, well-trained swimmers (12 men and 12 women) participated in the study. In a random and counterbalanced order, the swimmers completed 2 SIT sets (8 × 50 m and 8 × 25 m) in freestyle with maximal intensity on different days. Work-to-rest ratio was 1:1 in both sets. Blood samples were drawn preexercise, immediately postexercise, and 1 hour postexercise to evaluate the effects of the SIT sets on a number of biochemical parameters. Results: Swimming speed was higher at 8 × 25 m. The 2 SIT sets induced significant increases in lactate, glucose, insulin, glucagon, cortisol, and uric acid (P ≤ .001). No differences in these parameters were found between sets, except for irisin (higher in 8 × 50 m; P = .02). Male swimmers were faster and had higher lactate and uric acid concentrations, as well as lower reduced glutathione concentration, than female swimmers (P < .01). Conclusions: The 2 swimming SIT sets induced increases in most of the biochemical markers studied. The 2-fold difference between sets in distance did not differentiate the effects of sprint interval exercise on most biochemical parameters. Thus, low-volume SIT sets seem to be effective stimuli for competitive swimmers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Available studies report increased lactate concentrations after swimming43–45”
From Impact of a single swimming session on inflammatory response and iron homeostasis in adolescent female athletes during the luteal phase (2025) · cites this paper as [43]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Physiological adaptations to interval training and the role of exercise intensity
MacInnis, M. J., & Gibala, M. J. (2017) · The Journal of Physiology · doi:10.1113/jp273196 · Cited by 1,124
Oxidative Stress: Relationship with Exercise and Training
Finaud, J., Lac, G., & Filaire, E. (2006) · Sports Medicine · doi:10.2165/00007256-200636040-00004 · Cited by 771
The New Biology and Pharmacology of Glucagon
Müller, T. D., Finan, B., Clemmensen, C., DiMarchi, R. D., & Tschöp, M. H. (2017) · Physiological Reviews · doi:10.1152/physrev.00025.2016 · Cited by 419
Huh, J. Y., Mougios, V., Kabasakalis, A., Fatouros, I., Siopi, A., Douroudos, I. I., Filippaios, A., Panagiotou, G., Park, K. H., & Mantzoros, C. S. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-1437 · Cited by 363
Self-citationLactate as a Signaling Molecule That Regulates Exercise-Induced Adaptations
Nalbandian, M., & Takeda, M. (2016) · Biology · doi:10.3390/biology5040038 · Cited by 174
Exercise-induced skeletal muscle signaling pathways and human athletic performance
Camera, D. M., Smiles, W. J., & Hawley, J. A. (2016) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2016.02.007 · Cited by 128
Gibala, M. J., & Hawley, J. A. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.030 · Cited by 64
(2020) · doi:10.5040/9781492595496 · Cited by 35
Research works printed but not linked: 82
- Stöggl, 2014, Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training, Front Physiol, 5, 33, 10.3389/fphys.2014.00033 · DOI · Paper page
- Kabasakalis, 2014, Effects of endurance and high-intensity swimming exercise on the redox status of adolescent male and female swimmers, J Sports Sci, 32, 747, 10.1080/02640414.2013.850595 · DOI
- Nugent, 2017, Effects of low-volume, high-intensity training on performance in competitive swimmers: a systematic review, J Strength Cond Res, 31, 837, 10.1519/JSC.0000000000001583 · DOI
- Parker, 2017, The effect of exercise-intensity on skeletal muscle stress kinase and insulin protein signaling, PLoS One, 12, e0171613, 10.1371/journal.pone.0171613 · DOI
- Viru, 2004, Cortisol--essential adaptation hormone in exercise, Int J Sports Med, 25, 461, 10.1055/s-2004-821068 · DOI
- Adams, 2013, The impact of brief high-intensity exercise on blood glucose levels, Diabetes Metab Syndr Obes, 6, 113, 10.2147/DMSO.S29222 · DOI
- Theofilidis, 2018, Monitoring exercise-induced muscle fatigue and adaptations: making sense of popular or emerging indices and biomarkers, Sports, 6, 153, 10.3390/sports6040153 · DOI
- Parker, 2017, The effect of exercise-intensity on skeletal muscle stress kinase and insulin protein signaling, PLoS One, 12, e0171613, 10.1371/journal.pone.0171613 · DOI
- Casuso, 2018, Comparison of the inflammatory and stress response between sprint interval swimming and running, Scand J Med Sci Sports, 28, 1371, 10.1111/sms.13046 · DOI
- Davies, 2016, Adaptive homeostasis, Mol Aspects Med, 49, 1, 10.1016/j.mam.2016.04.007 · DOI · Paper page
- Kabasakalis, 2019, Effects of sprint interval exercise dose and sex on circulating irisin and redox status markers in adolescent swimmers, J Sports Sci, 37, 827, 10.1080/02640414.2018.1530056 · DOI
- Haugen, 2019, The training and development of elite sprint performance: an integration of scientific and best practice literature, Sports Med Open, 5, 44, 10.1186/s40798-019-0221-0 · DOI · Paper page
- Davies, 2016, Adaptive homeostasis, Mol Aspects Med, 49, 1, 10.1016/j.mam.2016.04.007 · DOI · Paper page
- Buchheit, 2013, High-intensity interval training, solutions to the programming puzzle. Part II: anaerobic energy, neuromuscular load and practical applications, Sports Med, 43, 927, 10.1007/s40279-013-0066-5 · DOI · Paper page
- Niess, 2007, Response and adaptation of skeletal muscle to exercise-the role of reactive oxygen species, Front Biosci, 12, 4826, 10.2741/2431 · DOI
- Hopkins, 2009, Progressive statistics for studies in sports medicine and exercise science, Med Sci Sports Exerc, 41, 3, 10.1249/MSS.0b013e31818cb278 · DOI · Paper page
- Viru, 2004, Cortisol--essential adaptation hormone in exercise, Int J Sports Med, 25, 461, 10.1055/s-2004-821068 · DOI
- Trefts, 2015, Exercise and the regulation of hepatic metabolism, Prog Mol Biol Transl Sci, 135, 203, 10.1016/bs.pmbts.2015.07.010 · DOI
- Morales-Alamo, 2014, Free radicals and sprint exercise in humans, Free Radic Res, 48, 30, 10.3109/10715762.2013.825043 · DOI
- Wu, 2006, Tietz Clinical Guide to Laboratory Tests
- MacInnis, 2017, Physiological adaptations to interval training and the role of exercise intensity, J Physiol, 595, 2915, 10.1113/JP273196 · DOI · Paper page
- Pla, 2019, Effects of a 6-week period of polarized or threshold training on performance and fatigue in elite swimmers, Int J Sports Physiol Perform, 14, 183, 10.1123/ijspp.2018-0179 · DOI
- Kabasakalis, 2019, Effects of sprint interval exercise dose and sex on circulating irisin and redox status markers in adolescent swimmers, J Sports Sci, 37, 827, 10.1080/02640414.2018.1530056 · DOI
- Fiorenza, 2018, Metabolic stress-dependent regulation of the mitochondrial biogenic molecular response to high-intensity exercise in human skeletal muscle, J Physiol, 596, 2823, 10.1113/JP275972 · DOI
- Pla, 2019, Effects of a 6-week period of polarized or threshold training on performance and fatigue in elite swimmers, Int J Sports Physiol Perform, 14, 183, 10.1123/ijspp.2018-0179 · DOI
- Kabasakalis, 2018, The Science of Swimming and Aquatic Activities, 79
- Perakakis, 2017, Physiology and role of irisin in glucose homeostasis, Nat Rev Endocrinol, 13, 324, 10.1038/nrendo.2016.221 · DOI · Paper page
- Kabasakalis, 2014, Effects of endurance and high-intensity swimming exercise on the redox status of adolescent male and female swimmers, J Sports Sci, 32, 747, 10.1080/02640414.2013.850595 · DOI
- Schoenmakers, 2019, The moderating role of recovery durations in high-intensity interval-training protocols, Int J Sports Physiol Perform, 14, 859, 10.1123/ijspp.2018-0876 · DOI
- Cerda-Kohler, 2018, Lactate administration activates the ERK1/2, mTORC1, and AMPK pathways differentially according to skeletal muscle type in mice, Physiol Rep, 6, e13800, 10.14814/phy2.13800 · DOI
- Morales-Alamo, 2014, Free radicals and sprint exercise in humans, Free Radic Res, 48, 30, 10.3109/10715762.2013.825043 · DOI
- Maglischo, 2003, Swimming Fastest, 451
- Peake, 2015, Modulating exercise-induced hormesis: does less equal more?, J Appl Physiol, 119, 172, 10.1152/japplphysiol.01055.2014 · DOI
- Takahashi, 2019, Effects of lactate administration on mitochondrial enzyme activity and monocarboxylate transporters in mouse skeletal muscle, Physiol Rep, 7, e14224, 10.14814/phy2.14224 · DOI
- Hoffman, 2014, Physioligcal Aspects of Sports Training and Performance, 19
- Theofilidis, 2018, Monitoring exercise-induced muscle fatigue and adaptations: making sense of popular or emerging indices and biomarkers, Sports, 6, 153, 10.3390/sports6040153 · DOI
- Nugent, 2017, Effects of low-volume, high-intensity training on performance in competitive swimmers: a systematic review, J Strength Cond Res, 31, 837, 10.1519/JSC.0000000000001583 · DOI
- Sloth, 2013, Effects of sprint interval training on VO2max and aerobic exercise performance: a systematic review and meta-analysis, Scand J Med Sci Sports, e341, 10.1111/sms.12092 · DOI · Paper page
- Cerda-Kohler, 2018, Lactate administration activates the ERK1/2, mTORC1, and AMPK pathways differentially according to skeletal muscle type in mice, Physiol Rep, 6, e13800, 10.14814/phy2.13800 · DOI
- Olbrecht, 2000, The Science of Winning, 15
- Kabasakalis, 2018, The Science of Swimming and Aquatic Activities, 79
- Stöggl, 2014, Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training, Front Physiol, 5, 33, 10.3389/fphys.2014.00033 · DOI · Paper page
- Seiler, 2010, What is best practice for training intensity and duration distribution in endurance athletes?, Int J Sports Physiol Perform, 5, 276, 10.1123/ijspp.5.3.276 · DOI · Paper page
- Wu, 2006, Tietz Clinical Guide to Laboratory Tests
- Peake, 2015, Modulating exercise-induced hormesis: does less equal more?, J Appl Physiol, 119, 172, 10.1152/japplphysiol.01055.2014 · DOI
- Sloth, 2013, Effects of sprint interval training on VO2max and aerobic exercise performance: a systematic review and meta-analysis, Scand J Med Sci Sports, e341, 10.1111/sms.12092 · DOI · Paper page
- Mougios, 2019, Exercise Biochemistry, 403
- Buchheit, 2013, High-intensity interval training, solutions to the programming puzzle. Part II: anaerobic energy, neuromuscular load and practical applications, Sports Med, 43, 927, 10.1007/s40279-013-0066-5 · DOI · Paper page
- Takahashi, 2019, Effects of lactate administration on mitochondrial enzyme activity and monocarboxylate transporters in mouse skeletal muscle, Physiol Rep, 7, e14224, 10.14814/phy2.14224 · DOI
- Buckley, 2019, Kinanthropometry and Exercise Physiology, 138
- Espersen, 1996, Short-term changes in the immune system of elite swimmers under competition conditions. Different immunomodulation induced by various types of sport, Scand J Med Sci Sports, 6, 156, 10.1111/j.1600-0838.1996.tb00083.x · DOI
- Engel, 2018, High-intensity interval training performed by young athletes: a systematic review and meta-analysis, Front Physiol, 9, 1012, 10.3389/fphys.2018.01012 · DOI
- Gibala, 2017, Sprinting toward fitness, Cell Metabol, 25, 988, 10.1016/j.cmet.2017.04.030 · DOI · Paper page
- Nalbandian, 2016, Lactate as a signaling molecule that regulates exercise-induced adaptations, Biology, 5, 38, 10.3390/biology5040038 · DOI · Paper page
- Bourdon, 2017, Monitoring athlete training loads: consensus statement, Int J Sports Physiol Perform, 12, S2-161, 10.1123/IJSPP.2017-0208 · DOI · Paper page
- Niess, 2007, Response and adaptation of skeletal muscle to exercise-the role of reactive oxygen species, Front Biosci, 12, 4826, 10.2741/2431 · DOI
- Gibala, 2013, Limits of Human Endurance, 51, 10.1159/000350256 · DOI
- Casuso, 2018, Comparison of the inflammatory and stress response between sprint interval swimming and running, Scand J Med Sci Sports, 28, 1371, 10.1111/sms.13046 · DOI
- Gibala, 2013, Limits of Human Endurance, 51, 10.1159/000350256 · DOI
- Adams, 2013, The impact of brief high-intensity exercise on blood glucose levels, Diabetes Metab Syndr Obes, 6, 113, 10.2147/DMSO.S29222 · DOI
- Buckley, 2019, Kinanthropometry and Exercise Physiology, 138
- Olbrecht, 2000, The Science of Winning, 15
- Maglischo, 2003, Swimming Fastest, 451
- Peake, 2014, Metabolic and hormonal responses to isoenergetic high-intensity interval exercise and continuous moderate intensity exercise, Am J Physiol Endocrinol Metab, 307, E539, 10.1152/ajpendo.00276.2014 · DOI
- Trefts, 2015, Exercise and the regulation of hepatic metabolism, Prog Mol Biol Transl Sci, 135, 203, 10.1016/bs.pmbts.2015.07.010 · DOI
- Saw, 2016, Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review, Br J Sports Med, 50, 281, 10.1136/bjsports-2015-094758 · DOI · Paper page
- Espersen, 1996, Short-term changes in the immune system of elite swimmers under competition conditions. Different immunomodulation induced by various types of sport, Scand J Med Sci Sports, 6, 156, 10.1111/j.1600-0838.1996.tb00083.x · DOI
- Seiler, 2010, What is best practice for training intensity and duration distribution in endurance athletes?, Int J Sports Physiol Perform, 5, 276, 10.1123/ijspp.5.3.276 · DOI · Paper page
- Hopkins, 2009, Progressive statistics for studies in sports medicine and exercise science, Med Sci Sports Exerc, 41, 3, 10.1249/MSS.0b013e31818cb278 · DOI · Paper page
- Peake, 2014, Metabolic and hormonal responses to isoenergetic high-intensity interval exercise and continuous moderate intensity exercise, Am J Physiol Endocrinol Metab, 307, E539, 10.1152/ajpendo.00276.2014 · DOI
- Perakakis, 2017, Physiology and role of irisin in glucose homeostasis, Nat Rev Endocrinol, 13, 324, 10.1038/nrendo.2016.221 · DOI · Paper page
- Saw, 2016, Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review, Br J Sports Med, 50, 281, 10.1136/bjsports-2015-094758 · DOI · Paper page
- Schoenmakers, 2019, The moderating role of recovery durations in high-intensity interval-training protocols, Int J Sports Physiol Perform, 14, 859, 10.1123/ijspp.2018-0876 · DOI
- Engel, 2018, High-intensity interval training performed by young athletes: a systematic review and meta-analysis, Front Physiol, 9, 1012, 10.3389/fphys.2018.01012 · DOI
- Haugen, 2019, The training and development of elite sprint performance: an integration of scientific and best practice literature, Sports Med Open, 5, 44, 10.1186/s40798-019-0221-0 · DOI · Paper page
- Bourdon, 2017, Monitoring athlete training loads: consensus statement, Int J Sports Physiol Perform, 12, S2-161, 10.1123/IJSPP.2017-0208 · DOI · Paper page
- Hoffman, 2014, Physioligcal Aspects of Sports Training and Performance, 19
- Fiorenza, 2018, Metabolic stress-dependent regulation of the mitochondrial biogenic molecular response to high-intensity exercise in human skeletal muscle, J Physiol, 596, 2823, 10.1113/JP275972 · DOI
- Müller, 2017, The new biology and pharmacology of glucagon, Physiol Rev, 97, 721, 10.1152/physrev.00025.2016 · DOI · Paper page
- Camera, 2016, Exercise-induced skeletal muscle signaling pathways and human athletic performance, Free Radic Biol Med, 98, 131, 10.1016/j.freeradbiomed.2016.02.007 · DOI · Paper page
- Huh, 2014, Exercise-induced irisin secretion is independent of age or fitness level and increased irisin may directly modulate muscle metabolism through AMPK activation, J Clin Endocrinol Metab, 99, E2154, 10.1210/jc.2014-1437 · DOI · Paper page
- Finaud, 2006, Oxidative stress: relationship with exercise and training, Sports Med, 36, 327, 10.2165/00007256-200636040-00004 · DOI · Paper page
Cited by
Mydłowska, M., Kasperska, A., Cichoń-Woźniak, J., Dziewiecka, H., Ostapiuk-Karolczuk, J., & Skarpańska-Stejnborn, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-29551-9 · Cited by 2
Metadata
- Authors
- Kabasakalis, A., Nikolaidis, S., Tsalis, G., & Mougios, V.
- Venue
- International Journal of Sports Physiology and Performance
- Publisher
- Human Kinetics
- Published
- 2020-11-01
- Volume
- 15
- Issue
- 10
- Pages
- 1442-1447
- ISSN
- 1555-0265
- 1555-0273
- Cited by
- 24
- References
- 8
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.