Effect of sleep quality on the severity of perimenstrual symptoms in Japanese female students: a cross-sectional, online survey

Improving sleep quality was one possible strategy to reduce the severity of perimenstrual symptoms. These results may provide useful information for Japanese female students who suffer from perimenstrual symptoms.

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2025-02-01
DOI
https://doi.org/10.1136/bmjopen-2024-093197
Citations
2
Primary Topic
Menstrual Health and Disorders
Type
article
Field-Weighted Citation Impact
3.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of sleep quality on the severity of perimenstrual symptoms in Japanese female students: a cross-sectional, online survey

Koichi Naito, Makoto Komiya, Sakura Oda, Toshizo Nagasawa et al.
2 citations
BMJ Open
Menstrual Health and Disorders
3.76
article

Effect of sleep quality on the severity of perimenstrual symptoms in Japanese female students: a cross-sectional, online survey

Koichi Naito, Makoto Komiya, Sakura Oda, Toshizo Nagasawa, Yukio Urabe, Satoshi Arima, Noriaki Maeda, Tsubasa Tashiro, Rami Mizuta
article en
2 citations

Abstract

Improving sleep quality was one possible strategy to reduce the severity of perimenstrual symptoms. These results may provide useful information for Japanese female students who suffer from perimenstrual symptoms.

BMJ OpenVol. 15(2)
Nagoya Women's University (JP), Hiroshima University (JP), Wayo Women's University (JP), Niigata University of Health and Welfare (JP)
Openalex Percentile: Top 9%
Menstrual Health and Disorders
3.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.