Data · dataset · 2024
Women's Menstrual Changes after COVID-19 Infection
Listed in ScienceDB
ackground: In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China.
Description
Since December 2022, China has adjusted anti-epidemic policies and a large-scale COVID-19 infection has emerged. We aimed to explore the menstrual changes of women before and after infection with the COVID-19.
Methods
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This study was designed as a descriptive, cross-sectional study. We collected data from participants infected with COVID-19 from January 1, 2023 to March 1, 2023 by issuing electronic questionnaires. Women were invited to fill out the questionnaire about their menstrual characteristic after COVID-19 infection.Results: A total of 884 women with COVID-19 infections participated in the study. 662(74.9%) participants experienced changes in one or more of menstrual characteristics.
Cycle length seemed to be the characteristic most likely to change (47.6%), followed by menstrual flow (41.7%), duration of menstrual periods (29.5%), degree of dysmenorrhea (29.0%) and intermenstrual bleeding (14.9%). The main clinical manifestations were menstruation delayed (26.3%), menstrual flow decreased (25.5%), dysmenorrhea relief (21.9%) and menstruation prolonged (21.0%). And we found new intermenstrual bleeding in 8.4% participants after COVID-19 infection. The menstrual change rate of the irregular menstrual group was significantly higher than that of the regular menstrual group (73.0% vs. 62.3%, P＜0.001).Conclusions: COVID-19 infection may cause menstrual changes in most women.
It is important to be aware of the menstrual changes after COVID-19 infection and to inform women about this issue.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.16776 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.16776 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |