Evidence map›Paper›PMID 30464644›Full record

ArticleInternational journal of women's health2018

Risk of female athlete triad development in Japanese collegiate athletes is related to sport type and competitive level.

Akemi Sawai, Bryan J Mathis, Hiroaki Natsui, Alexander Zaboronok, Risa Mitsuhashi, Yuki Warashina, Noboru Mesaki, Hitoshi Shiraki, Koichi Watanabe

Open access · goldAbstract read
In one paragraph

Article in International journal of women's health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

9 authors at 2 institutions in 1 country.

Akemi SawaiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Bryan J MathisFaculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Hiroaki NatsuiFaculty of Sports and Health Sciences, Japan Women's College of Physical Education, Setagaya-ku, Tokyo, Japan.
Alexander ZaboronokFaculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Risa MitsuhashiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Yuki WarashinaFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan, watanabe.koichi.ga@u.tsukuba.ac.jp.
Noboru MesakiFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan, watanabe.koichi.ga@u.tsukuba.ac.jp.
Hitoshi ShirakiFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan, watanabe.koichi.ga@u.tsukuba.ac.jp.
Koichi WatanabeFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan, watanabe.koichi.ga@u.tsukuba.ac.jp.
University of Tsukuba · JPJapan Women's College of Physical Education · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMenstrual dysfunction, musculoskeletal injury, and poor nutrition combine to form the female athlete triad (FAT), which results in serious health consequences for affected athletes. To this point, the risk factors of this phenomenon have not been fully explored in Japanese female college athletes. Additionally, the effect of competitive level on FAT risk factors has also not been reported. Therefore, we aimed to examine FAT risk factors in Japanese female athletes of various sports as well as examine the impact of competitive level on FAT.

methodsA Japanese-language survey was completed by 531 athletes and 20 nonathletes at two Japanese universities and answers with regard to menstrual status, musculoskeletal injury, nutrition, and other variables were analyzed based on classification of the sports into nine distinct groups based on activity type. Sport intensity, training volume, and competitive levels were used to further classify each sport. One-way ANOVA and the Bonferroni post hoc test using SPSS were carried out to analyze significance for relationships between sport intensity and FAT risk factors. Additionally, the relationship between competitive level and FAT risk factors was analyzed by ANOVA and Bonferroni post hoc tests.

resultsSport intensity was positively correlated with a delay in menarche as well as dysmenorrhea and poor nutrition while musculoskeletal injury was correlated with repetitive, high-training volume sports. Lower competitive levels increased dysmenorrhea but did not impact injury status or nutrition.

conclusionSport intensity and training volume, but not competitive level, are the critical factors affecting FAT risk in Japanese female college athletes.

Indexed as

athletesdysmenorrheaFATfemaleJapanesetriad

Identifiers

PMID30464644
PMCPMC6214308
OpenAlexW2898765939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.