Evidence map›Paper›PMID 39126367›Full record

ArticleEuropean journal of sport science2024

Lactate threshold evaluation in swimming using a sweat lactate sensor: A prospective study.

Hiroki Okawara, Tomonori Sawada, Daisuke Nakashima, Haruki Fujitsuka, Yuki Muramoto, Daigo Hinokuma, Yuta Oshikiri, Keisuke Ishizaki, Jiro Miki, Reira Hara and 5 more

Abstract read
In one paragraph

Article in European journal of sport science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Hiroki OkawaraDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4211-1759
Tomonori SawadaDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9750-8828
Daisuke NakashimaDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1105-2669
Haruki FujitsukaDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Yuki MuramotoInstitute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9363-2722
Daigo HinokumaDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Yuta OshikiriSchool of Sport Sciences Waseda University, Tokyo, Japan.
Keisuke IshizakiGraduate School of Sports Sciences, Nihon University, Tokyo, Japan.
Jiro MikiCollege of Science and Technology Department of Liberal Arts and Science, Nihon University, Tokyo, Japan.
Reira HaraCollege of Sports Sciences Department of Competitive Sports, Nihon University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0955-3272
Motoaki SanoDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1771-8310
Kazuki SatoInstitute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0586-1868
Masaya NakamuraDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7916-5497
Takeo NaguraDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Yoshinori KatsumataInstitute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5576-5789

Funding

Japan Agency for Medical Research and Development 21ek0210130h0003Keio Universitythe Japan Science and Technology Agency JPMJPF2101the Keio University Global Research Institute IoT Healthcare Research Consortium 02-066-0008
6 · The paper itself

Abstract

Since assessing aerobic capacity is key to enhancing swimming performance, a simple and widely applicable technology should be developed. Therefore, we aimed to noninvasively visualize real-time changes in sweat lactate (sLA) levels during swimming and investigate the relationship between lactate thresholds in sweat (sLT) and blood (bLT). This prospective study included 24 university swimmers (age: 20.7 s ± 1.8 years, 58% male) who underwent exercise tests at incremental speeds with or without breaks in a swimming flume to measure heart rate (HR), bLT, and sLT based on sLA levels using a waterproof wearable lactate sensor attached to the dorsal upper arm on two different days. The correlation coefficient and Bland-Altman methods were used to verify the similarities of the sLT with bLT and personal performance. In all tests, dynamic changes in sLA levels were continuously measured and projected onto the wearable device without delay, artifacts, or contamination. Following an initial minimal current response, with increasing speed the sLA levels increased substantially, coinciding with a continuous rise in HR. The speed at sLT strongly correlated with that at bLT (p < 0.01 and r = 0.824). The Bland-Altman plot showed a strong agreement (mean difference: 0.08 ± 0.1 m/s). This prospective study achieved real-time sLA monitoring during swimming, even with vigorous movement. The sLT closely approximated bLT; both were subsequently validated for their relevance to performance.

Indexed as

Heart RateLactic AcidSweatSwimmingAnaerobic ThresholdExercise TestFemaleHumansMaleProspective StudiesWearable Electronic DevicesYoung AdultLactic Acidaerobic fitnessassessmentendurancemetabolismtechnology

Identifiers

PMID39126367
PMCPMC11369350

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.