Evidence map›Paper›PMID 29445518›Full record

ArticleClinical diabetes and endocrinology2018

Why do endocrine profiles in elite athletes differ between sports?

Peter H Sönksen, Richard I G Holt, Walailuck Böhning, Nishan Guha, David A Cowan, Christiaan Bartlett, Dankmar Böhning

Open access · goldAbstract read
In one paragraph

Article in Clinical diabetes and endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 31 citations in OpenAlex.

  1. Redefining testosterone reference ranges for adult females.Journal of endocrinological investigation · 2026
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  8. Vitamin D, sport and health: a still unresolved clinical issue.Journal of endocrinological investigation · 2020
    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

7 authors at 2 institutions in 1 country.

Peter H Sönksen1Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.
Richard I G Holt1Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.
Walailuck Böhning1Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.
Nishan Guha1Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.
David A Cowan4Department of Pharmacy and Forensic Science, Drug Control Centre, King's College London, London, UK.
Christiaan Bartlett4Department of Pharmacy and Forensic Science, Drug Control Centre, King's College London, London, UK.
Dankmar Böhning2Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK.
University of Southampton · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndocrine profiles have been measured on blood samples obtained immediately post-competition from 693 elite athletes from 15 Olympic Sports competing at National or International level; four were subsequently excluded leaving 689 for the current analysis.

methodsBody composition was measured by bioimpedance in a sub-set of 234 (146 men and 88 women) and from these data a regression model was constructed that enabled 'estimated' lean body mass and fat mass to be calculated on all athletes. One way ANOVA was used to assess the differences in body composition and endocrine profiles between the sports and binary logistical regression to ascertain the characteristic of a given sport compared to the others.

resultsThe results confirmed many suppositions such as basketball players being tall, weightlifters short and cross-country skiers light. The hormone profiles were more surprising with remarkably low testosterone and free T3 (tri-iodothyronine) in male powerlifters and high oestradiol, SHBG (sex hormone binding globulin) and prolactin in male track and field athletes. Low testosterone concentrations were seen 25.4% of male elite competitors in 12 of the 15 sports and high testosterone concentrations in 4.8% of female elite athletes in 3 of the 8 sports tested. Interpretation of the results is more difficult; some of the differences between sports are at least partially due to differences in age of the athletes but the apparent differences between sports remain significant after adjusting for age. The prevalence of 'hyperandrogenism' (as defined by the IAAF (International Association of Athletics Federations) and IOC (International Olympic Committee)) amongst this cohort of 231 elite female athletes was the highest so far recorded and the very high prevalence of 'hypoandrogenism' in elite male athletes a new finding.

conclusionsIt is unclear whether the differences in hormone profiles between sports is a reason why they become elite athletes in that sport or is a consequence of the arduous processes involved. For components of body composition we know that most have a major genetic component and this may well be true for endocrine profiles.

Indexed as

BMIBody-compositionCollagen biomarkersElite-sportEndocrine-profiles

Identifiers

PMID29445518
PMCPMC5804043
OpenAlexW2769816473

What OpenQuestion holds

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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.