Evidence map›Paper›PMID 27348623›Full record

ReviewFrontiers of hormone research2016

Exercise, Training, and the Hypothalamic-Pituitary-Gonadal Axis in Men and Women.

Natalia Cano Sokoloff, Madhusmita Misra, Kathryn E Ackerman

Abstract readReview
In one paragraph

Review in Frontiers of hormone research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
17.1field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  5. The Effects of 6 Weeks ofNutrients · 2021
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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

3 authors at 1 institution in 1 country.

Natalia Cano Sokoloff
Madhusmita Misra
Kathryn E Ackerman
Harvard University · US

Funding

Bone Metabolism and Body Composition in Young AthletesK24HD071843 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI MISRA, MADHUSMITA · 2013 to 2017
$930k
NICHD NIH HHS K24 HD071843
6 · The paper itself

Abstract

The hypothalamic-pituitary-gonadal (HPG) axis is essential for adequate responses to exercise and training both acutely and chronically. Both testosterone and estrogen play leading roles in neuromuscular adaptation to exercise in males and females. The purpose of this chapter is to illustrate the physiological and pathological changes that occur in the HPG axis secondary to exercise and training. In males, testosterone increases with acute bouts of exercise, but long-term effects are less clear, with evidence of lower testosterone in endurance athletes. Restricted energy availability may negatively affect hormone levels in male endurance athletes, but data regarding low energy availability and its impact on the HPG axis are limited in male athletes. Conversely, in females there is significant evidence that decreased energy availability inhibits the HPG axis, leading to menstrual irregularities and lower bone density. Hormonal changes secondary to acute bouts of exercise are more challenging to interpret in females due to menstrual variability, which traditionally has not been taken into account in many studies. However, some evidence supports an increase in testosterone and estradiol with acute exercise. More work is needed to elucidate the relationships among energy availability, basal hormonal fluctuations, and exercise, and their collective effects on the HPG axis.

Indexed as

EstradiolExerciseFemaleHumansHypothalamo-Hypophyseal SystemMaleMenstrual CyclePhysical EndurancePituitary-Adrenal SystemTestosteroneEstradiolTestosterone

Identifiers

PMID27348623
PMCPMC7043068
OpenAlexW2497333031

What OpenQuestion holds

Textmetadata
LicenceTDM
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.