Evidence map›Paper›PMID 38417813›Full record

Observational studyInternational journal of sports medicine2024

Association between Physical Activity and Menstrual Cycle Disorders in Young Athletes.

Paolo Passoni, Alessandra Inzoli, Elena De Ponti, Serena Polizzi, Anna Ceccherelli, Martina Fantauzzi, Chiara Procaccianti, Alessandro Cattoni, Silvia Villa, Anna Riva and 3 more

Abstract readObservational Study
In one paragraph

Observational study in International journal of sports medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Menstrual Dysfunction in Adolescent Female Athletes.Sports (Basel, Switzerland) · 2024
    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

13 authors.

Paolo PassoniUO Gynecology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Alessandra InzoliDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.ORCID 0000-0001-7532-3267
Elena De PontiDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.
Serena PolizziUO Gynecology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Anna CeccherelliDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.
Martina FantauzziDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.ORCID 0000-0002-9795-5246
Chiara ProcacciantiDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.
Alessandro CattoniDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.
Silvia VillaDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.
Anna RivaChild and Adolescent Mental Health Department, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Stefano RighettiInterventional Cardiology Department, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Fabio LandoniDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.
Robert FruscioDepartment of Medicine and Surgery, University of Milan-Bicocca, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aims to evaluate clinical predictors of menstrual cycle disorders in female athletes who compete in running disciplines. This is a prospective observational study. Women were recruited between January and May 2022. Fifty-three patients were enrolled and completed a questionnaire about menstrual cycle, physical activity, and food habit characteristics. Of the women in our population, 39.6% had menstrual irregularities and reported a significantly higher number of kilometers run per week (67 vs. 35, p:0.02). The number of kilometers run per week was associated with menstrual irregularities (for 10 km, OR 1.35; IC95% 1.05-1.73; p: 0.02) after adjusting for BMI, age, level of sport and caloric intake. The variable of "km run per week" appeared as a diagnostic indicator of irregular menstrual cycle with statistical significance (AUC ROC curve 0.71, IC95% 0.54-0.86, p-value=0.01) and the cut-off of 65 km run per week is a good indicator of the presence of irregular menstrual cycle (sensitivity (SE) and specificity (SP) of 55% and 81.48%). Menstrual cycle disorders are very frequent in female athletes, and the variable of km run per week may play a role in screening endurance athletes at high risk for these disorders.

Indexed as

Menstruation DisturbancesRunningAdolescentAdultAthletesBody Mass IndexExerciseFeeding BehaviorFemaleHumansMenstrual CycleProspective StudiesROC CurveSurveys and QuestionnairesYoung Adult

Identifiers

PMID38417813
PMCPMC11216807

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.