Evidence map›Paper›PMID 39234531›Full record

ArticleFrontiers in sports and active living2024

The use of saliva and blood progesterone to profile the menstrual cycles of youth professional football players.

Eva Ferrer, Gil Rodas, Gregori Casals, Antoni Trilla, Laura Balagué-Dobon, Juan R González, Katherine Ridley, Richard White, Richard J Burden

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Article in Frontiers in sports and active living, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Eva FerrerSports Medicine Unit, Hospital Clinic and Sant Joan de Déu, Barcelona, Spain.
Gil RodasSports Medicine Unit, Hospital Clinic and Sant Joan de Déu, Barcelona, Spain.
Gregori CasalsFaculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
Antoni TrillaFaculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
Laura Balagué-DobonBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Juan R GonzálezBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Katherine RidleyHealth and Wellness Department, Mint Diagnostics, Sittingbourne, Kent, United Kingdom.
Richard WhiteHealth and Wellness Department, Mint Diagnostics, Sittingbourne, Kent, United Kingdom.
Richard J BurdenFemale Athlete Health & Performance Department, UK Sports Institute, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding individual ovarian hormone cycles and their relationship with health, performance and injuries is highly important to practitioners supporting female athletes. Venous blood sampling is the current gold standard for measuring the ovarian hormones, but the invasive nature of this method presents a major barrier in sport environments. Saliva analysis may offer an alternative method as it is non-invasive, allowing the sample to be collected " Objective: The aims of this study were: (i) To compare the concentration of progesterone between capillary blood and saliva, (ii) To assess the efficacy of weekly measurements of progesterone for determining if ovulation has occurred in elite eumenorrheic football players, and (iii) To establish a saliva criteria cut-off for establishing ovulation and assessing the sensitivity, specificity and accuracy values of the method. Methodology: Twenty-one professional and semi-professional, Spanish league female football players (18.6 ± 1.5 years, 58.1 ± 6.0 kg, 164.0 ± 4.8 cm) with natural menstrual cycles, completed the study. Capillary blood and saliva samples were collected from each participant on twelve occasions each separated by at least 7 days. All samples were collected in the morning, following an overnight fast. Results: According to luteal phase serum progesterone concentrations, 11 out of 21 (52%) players presented with menstrual irregularities (oligomenorrheic Conclusions: Salivary measurements of progesterone are well correlated with capillary blood when taken during eumenorrheic menstrual cycles and presents a viable, non-invasive method of establishing characteristic progesterone fluctuations in applied sport settings. The strength of the association appears to be concentration dependent. A luteal phase saliva progesterone (P4) >50 pg/ml and >1.5× follicular baseline has good sensitivity, specificity, and accuracy to indicate ovulation compared to established criteria for serum progesterone.

Indexed as

capillary blood progesteronefemale footballmenstrual cyclenon-invasive methodovarian hormonessaliva progesterone

Identifiers

PMID39234531
PMCPMC11373522

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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.