Evidence map›Paper›PMID 30899135›Full record

ArticleBiology of sport2019

Performance prediction models based on anthropometric, genetic and psychological traits of Croatian sprinters.

Luciana Zaccagni, Barbara Lunghi, Davide Barbieri, Natascia Rinaldo, Sasa Missoni, Tena Šaric, Jelena Šarac, Vesna Babic, Marija Rakovac, Francesco Bernardi and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology of sport, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Impact of Sports Involvement on Body Image Perception and Ideals: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023
    Pooled it
  2. Review
  3. Article
  4. Relationship between Anthropometric Measures and Anxiety Perception in Soccer Players.International journal of environmental research and public health · 2022
    Article
  5. How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic.International journal of environmental research and public health · 2021
    Review
  6. Article
  7. Predicting Cardiovascular Risk in Athletes: Resampling Improves Classification Performance.International journal of environmental research and public health · 2020
    Article
  8. International journal of environmental research and public health · 2020
    Article
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

11 authors.

Luciana ZaccagniDepartment of Biomedical and Specialty Surgical Sciences, University of Ferrara, Italy.
Barbara LunghiDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Davide BarbieriDepartment of Biomedical and Specialty Surgical Sciences, University of Ferrara, Italy.
Natascia RinaldoDepartment of Biomedical and Specialty Surgical Sciences, University of Ferrara, Italy.
Sasa MissoniInstitute for Anthropological Research, Zagreb, Croatia.
Tena ŠaricInstitute for Anthropological Research, Zagreb, Croatia.
Jelena ŠaracInstitute for Anthropological Research, Zagreb, Croatia.
Vesna BabicFaculty of Kinesiology, University of Zagreb, Zagreb, Croatia.
Marija RakovacFaculty of Kinesiology, University of Zagreb, Zagreb, Croatia.
Francesco BernardiDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Emanuela Gualdi-RussoDepartment of Biomedical and Specialty Surgical Sciences, University of Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elite athletes differ from each other in their characteristics according to their discipline. This study aimed to identify performance predictors in elite Croatian sprinters taking into consideration their anthropometric, psychological and genetic characteristics. One hundred and four elite Croatian sprinters (68 males and 36 females) participated in this study. Of them, 38 are currently competing in the 100-metre dash. The others are former sprinters. The participants underwent direct anthropometric assessment. Participants were also tested by means of the Competitive State Anxiety Inventory-2 and for ACE and ACTN3 polymorphisms. Multiple linear regression analysis was applied to identify the best model for performance prediction. Different models were developed for males and females. Anthropometric traits accounted for 44% of the variance in performance for males, 62% for females. Once other traits (psychological for females) were entered into the model, no additional contribution to the variance was observed. The most significant predictors of higher running velocity were bicristal diameter and foot dimensions in males, and leg length and clean one-repetition maximum in females. The findings suggest that performance in sprinters is associated with anthropometric characteristics, with biomechanical implications that may be used to provide a more complete evaluation of sprinters' performance.

Indexed as

AnthropometryCompetitive anxietyGenetic polymorphismsPersonal bestSprint performance

Identifiers

PMID30899135
PMCPMC6413579

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.