The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Determination of maximal lactate steady state response in selected sports events
Abstract
Maximal lactate steady state (MLSS) refers to the upper limit of blood lactate concentration indicating an equilibrium between lactate production and lactate elimination during constant workload. The aim of the present study was to investigate whether different levels of MLSS may explain different blood lactate concentration (BLC) levels at submaximal workload in the sports events of rowing, cycling, and speed skating. Eleven rowers (mean +/- SD, age 20.1 +/- 1.5 yr, height 188.7 +/- 6.2 cm, weight 82.7 +/- 8.0 kg), 16 cyclists and triathletes (age 23.6 +/- 3.0 yr, height 181.4 +/- 5.6 cm, weight 72.5 +/- 6.2 kg), and 6 speed skaters (age 23.3 +/- 6.6 yr, height 179.5 +/- 7.5 cm, weight 73.2 +/- 5.6 kg) performed an incremental load test to determine maximal workload and several submaximal 30-min constant workloads for MLSS measurement on a rowing ergometer, a cycle ergometer, and on a speed-skating track. Maximal workload was higher (P < or = 0.05) in rowing (416.8 +/- 46.2 W) than in cling (358.6 +/- 34.4 W) and speed skating (383.5 +/- 40.9 W). The level of MLSS differed (P < or = 0.001) in rowing (3.1 +/- 0.5 mmol.l-1), cycling (5.4 +/- 1.0 mmol.l-1), and in speed skating (6.6 +/- 0.9 mmol.l-1). MLSS workload was higher (P < or = 0.05) in rowing (316.2 +/- 29.9 W) and speed skating (300.5 +/- 43.8 W) than in cycling (257.8 +/- 34.6 W). No differences (P > 0.05) in MLSS workload were found between speed skating and rowing. MLSS workload intensity as related to maximal workload was independent (P > 0.05) of the sports event: 76.2% +/- 5.7% in rowing, 71.8% +/- 4.1% in cycling, and 78.1% +/- 4.4% in speed skating. Changes in MLSS do not respond with MLSS workload, the MLSS workload intensity, or with the metabolic profile of the sports event. The observed differences in MLSS and MLSS workload may correspond to the sport-specific mass of working muscle.
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.
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
Justification of the 4-mmol/l lactate threshold
Heck, H., Mader, A., Hess, G., Mücke, S., Müller, R., & Hollmann, W. (1985) · International Journal of Sports Medicine · doi:10.1055/s-2008-1025824 · Cited by 888
Kindermann, W., Simon, G., & Keul, J. (1979) · European Journal of Applied Physiology and Occupational Physiology · doi:10.1007/bf00421101 · Cited by 699
Gollnick, P. D., Piehl, K., & Saltin, B. (1974) · The Journal of Physiology · doi:10.1113/jphysiol.1974.sp010639 · Cited by 643
Cited by
The Effect of Endurance Training on Parameters of Aerobic Fitness
Jones, A. M., & Carter, H. (2000) · Sports Medicine · doi:10.2165/00007256-200029060-00001 · Cited by 935
Lactate Threshold Concepts: How Valid are They?
Faude, O., Kindermann, W., & Meyer, T. (2009) · Sports Medicine · doi:10.2165/00007256-200939060-00003 · Cited by 882
Seiler, K. S., & Kjerland, G. Ø. (2006) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/j.1600-0838.2004.00418.x · Cited by 643
Lactate metabolism: historical context, prior misinterpretations, and current understanding
Ferguson, B. S., Rogatzki, M. J., Goodwin, M. L., Kane, D. A., Rightmire, Z., & Gladden, L. B. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-017-3795-6 · Cited by 441
Slow Component of V˙O2 Kinetics: Mechanistic Bases and Practical Applications
JONES, A. M., GRASSI, B., CHRISTENSEN, P. M., KRUSTRUP, P., BANGSBO, J., & POOLE, D. C. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821fcfc1 · Cited by 353
Metadata
- Authors
- BENEKE, R., & von DUVILLARD, S. P.
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 1996-02
- Volume
- 28
- Issue
- 2
- Pages
- 241-246
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2042650175
- Cited by
- 247
- References
- 3
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Determination of maximal lactate steady state response in selected sports events. https://app.cochat.ai/papers/10.1097/00005768-199602000-00013
- The paper
- BENEKE, R., & von DUVILLARD, S. P. (1996). Determination of maximal lactate steady state response in selected sports events. Medicine & Science in Sports & Exercise. https://doi.org/10.1097/00005768-199602000-00013
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.