Evidence map›Paper›PMID 27504176›Full record

ArticleElectronic physician2016

Anthropometric Profiling of New Zealand Junior Elite Triathletes.

Bhargav Dave, Asmi Dave, Nilesh Kotecha, Myrtle Oates

Abstract read
In one paragraph

Article in Electronic physician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bhargav DaveDPT, Senior Physical Therapist, Manish Therapy Services, Texas, USA; Professor, Srinivas University, Department of Physical Therapy, Mangalore, Karnataka, India.
Asmi DaveDPT, Physical Therapist, Rehab Care Group East, Louisville, Kentucky, USA.
Nilesh KotechaMD, Texas Institute for Spine Care, Houston, Texas, USA.
Myrtle OatesMD, Texas Continual Care, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe triathlon involves a combination of three separate disciplines-swimming, cycling and running. To date, very few studies have been conducted on the anthropometric characteristics of the New Zealand junior elite triathletes. The aim of this study was to determine the correlation between physical traits of calf girth or sum of eight skinfolds (anthropometry) and running or cycling performances in the triathlon event.

methodsEleven junior elite triathletes (6 females, 5 males; (Av. age: 17) who were selected for the New Zealand national squad, were examined in this cross-sectional study. All athletes were measured for the complete anthropometric profile, as per the International Society for Advancement of Kinanthropometry (ISAK) guidelines. It was then correlated with the cycling and running performances using interclass correlation (ICC) with 90% confidence interval (CI) limits.

resultsA non-significant positive correlation observed between eight skinfolds tests on running performance (ICC: 0.10; 90% CI: -0.68-0.77; p>0.05) and biking performance (ICC: 0.15; 90% CI: -0.65-0.79; p>0.05), suggested athletes with greater body fat may render a better athletic performance. Conversely, a significant negative correlation was observed between calf girth and running performance (ICC:-0.66; 90% CI: -0.94 - -0.12; p<0.05) and a non-significant negative correlation was observed between calf girth and cycling performance (ICC:-0.94; 90% CI: -0.97- 0.68; p>0.05).

conclusionAnthropometric data can help in predicting an ideal body profile. This research indicates the similarities and differences of the New Zealand junior profile and the world junior profile.

Indexed as

AnthropometryBody fatSkinfoldSportTriathletes

Identifiers

PMID27504176
PMCPMC4965211

What OpenQuestion holds

Textmetadata
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.