Evidence map›Paper›PMID 40436904›Full record

ArticleScientific reports2025

Prevalence of menstrual pain and symptoms and their association with age and BMI among Japanese female app users.

Shuxian Liu, Daisuke Yoneoka, Hitomi Suzuki, Kiriko Sasayama, Eiko Saito, Yuna Naraoka, Momo Hosokawa, Ataru Igarashi, Erika Ota

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Shuxian LiuGlobal Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.
Daisuke YoneokaCenter for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
Hitomi SuzukiInternational Healthcare and Midwifery, Graduate School of Nursing, Japanese Red Cross College of Nursing, Tokyo, Japan.
Kiriko SasayamaSustainable Society Design Center, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Eiko SaitoSustainable Society Design Center, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Yuna NaraokaGraduate School of Medicine, Intractable Disease Research Center, Juntendo University, Tokyo, Japan.
Momo HosokawaGeneral Incorporated Association Luvtelli, Tokyo, Japan.
Ataru IgarashiDepartment of Health Economics and Outcomes Research, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Erika OtaGlobal Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan. ota@slcn.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Menstruation plays a crucial role in women's health, with age and BMI potentially influencing menstrual pain and associated symptoms. This cross-sectional study analyzed data from Japanese female Sofy app users aged 12-51 years, collected between March 4, 2021, and August 17, 2023. After excluding duplicate and incomplete responses, as well as participants using contraceptives or painkillers, a total of 32,556 valid responses were included. Among the participants, 66.83% reported experiencing menstrual pain, with 28.33% describing it as mild, 25.13% as moderate, and 13.31% as severe. The average number of symptoms reported was 3.36, including 2.43 physical and 0.82 emotional symptoms. Abdominal pain and depression were the most common physical and emotional symptoms, respectively. Menstrual pain and the number of symptoms exhibited an inverted U-shaped relationship with age, peaking slightly earlier in life, and a U-shaped relationship with BMI. Participants in the normal BMI range reported the lowest prevalence of menstrual pain, while those who were underweight had the highest prevalence. Generalized Additive Models (GAM) revealed significant interactions between age and BMI for both menstrual pain and the number of symptoms (p < 0.0001). These findings revealed the age-related inverted U-shape and BMI-related U-shape patterns across all outcomes. Menstrual pain prevalence peaked around the mid-twenties, and symptoms decreased as BMI approached the normal range. The findings provide valuable insights into identifying high-risk groups and informing the development of targeted interventions to improve women's health.

Indexed as

Body Mass IndexDysmenorrheaMobile ApplicationsAdolescentAdultAge FactorsChildCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanMiddle AgedPrevalenceYoung Adult

Identifiers

PMID40436904
PMCPMC12119975

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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.