Evidence map›Paper›PMID 36163183›Full record

ArticleBMC sports science, medicine & rehabilitation2022

The relationship between high physical activity and premenstrual syndrome in Japanese female college students.

Rika Kawabe, Chang Yu Chen, Saori Morino, Kohei Mukaiyama, Yuki Shinohara, Masaya Kato, Hiroki Shimizu, Kanako Shimoura, Momoko Nagai-Tanima, Tomoki Aoyama

Open access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Physical, Psychological, and Behavioral Symptoms of Premenstrual Syndrome in Relation to Body Size and Shape.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  5. Article
  6. Observational
  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

10 authors at 2 institutions in 1 country.

Rika KawabeDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Chang Yu ChenDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Saori MorinoDepartment of Rehabilitation Science, School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Kohei MukaiyamaDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuki ShinoharaDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masaya KatoDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroki ShimizuDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kanako ShimouraDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Momoko Nagai-TanimaDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan. tanima.momoko.8s@kyoto-u.ac.jp.
Tomoki AoyamaDepartment of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University · JPOsaka Metropolitan University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, moderate physical activity has attracted the attention of experts and women as a way to cope with premenstrual syndrome (PMS). Studies investigated the effects of exercise on PMS, but only a few reports focused on the relationship between physical activity, which included not only exercise but also routine bodily movements, and PMS. Therefore, the present study investigated the relationship between the amount of physical activity and PMS symptoms among sexually mature female students.

methodsA total of 381 female university students in Japan were surveyed using a paper or web-based questionnaire with the same content. The questionnaire consisted of basic information, PMS symptoms, and physical activity based on the International Physical Activity Questionnaire (IPAQ). Participants were divided into two groups (≥ 3000 The Metabolic Equivalent of Task (MET)-minutes/week and < 3000 MET-minutes/week) based on their total physical activity as calculated using the IPAQ guidelines. The two groups were then compared in terms of the severity of their PMS physical and psychological symptoms as calculated based on the American College of Obstetricians and Gynecologists' PMS diagnostic criteria. The Wilcoxon's rank-sum test was used for statistical analyses. We then divided the participants based on the presence or absence of each symptom and used the chi-square test to compare the intergroup differences in ratios. The statistical significance level was set at p < 0.05.

resultsThose with total physical activity of ≥ 3000 MET-minutes/week had lower total PMS symptom scores (p < 0.01), physical symptom scores (p = 0.01), and psychological symptom scores (p = 0.01) compared with those with total physical activity of < 3000 MET-minutes/week.

conclusionThese results suggest that young women with high physical activity (≥ 3000 MET-minutes/week) have milder symptoms of PMS.

Indexed as

International Physical Activity QuestionnairePhysical activityPremenstrual syndromeWoman’s health

Identifiers

PMID36163183
PMCPMC9511710
OpenAlexW4297238483

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.