Evidence map›Paper›PMID 16468063›Full record

ArticleEuropean journal of applied physiology2006

Effects of age and gender on the propelling efficiency of the arm stroke.

Paola Zamparo

Abstract readCommentComparative StudyControlled Clinical Trial
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.8field-weighted citation impact, top 8% of its field
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

34 citing papers in PubMed, 105 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sex Differences in Anthropometric and Physiological Profiles of Hungarian Rowers of Different Ages.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Modelling the 200 m Front-Crawl Performance Predictors at the Winter Season Peak.International journal of environmental research and public health · 2020
    Article
  13. The energy cost of swimming and its determinants.European journal of applied physiology · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Trends in Triathlon Performance: Effects of Sex and Age.Sports medicine (Auckland, N.Z.) · 2013
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Paola ZamparoDipartimento di Scienze e Tecnologie Biomediche, School of Medicine, P.le Kolbe 4, 33100, Udine, Italy. pzamparo@mail.dstb.uniud.it
University of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The propelling efficiency of the arm stroke (etaP) was estimated in a group of 63 male and female subjects (9-59 years of age) of good technical skill, swimming the front crawl at sub-maximal speeds. etaP was calculated on the basis of values of speed (v), stroke frequency (SF) and shoulder-to-hand distance (l, calculated from measures of arm length and elbow angle during the in-sweep) as proposed by Zamparo et al. (Eur J Appl Physiol 94:134-144, 2005). In both genders, the distance covered per stroke (Ds = v/SF) is similar before puberty, reaches its maximum at about 20 years of age and then steadily declines. l is significantly larger in males than in females and this difference tended to offset the differences in Ds so that etaP is almost the same in male and female swimmers of the same age group and swimming ability: about 0.31 before puberty, 0.38-0.40 at about 20 years of age and about 0.25 in swimmers older than 40 years of age. The development of etaP and Ds during the life span is similar to the changes in muscle strength and power reported in the literature suggesting that these parameters are related to the ability to exert forceful (and hence effective) strokes in water. Since the energy cost of swimming (C) depends essentially on etaP and the hydrodynamic resistance (Wd), these data further suggest that differences in C between genders are mainly to be attributed to differences in Wd, whereas differences across ages can be attributed also to changes in etaP.

Indexed as

AlgorithmsModels, BiologicalAdolescentAdultAge FactorsAgingArmComputer SimulationEnergy MetabolismFemaleHumansMaleMiddle AgedPhysical ExertionSex FactorsSwimming

Identifiers

PMID16468063
OpenAlexW2070375783

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.