Evidence map›Paper›PMID 41803680›Full record

ArticleBMC microbiology2026

Correlation analysis between vaginal microbiota and quality of life across different female life stages.

Huiqing Zhu, Xiumin Zhang

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Huiqing ZhuDepartment of Medical Affairs, Qilu Second Hospital of Shandong University, Jinan, China.
Xiumin ZhangDepartment of Gynecological Clinic, Qilu Second Hospital of Shandong University, Jinan, 250033, China. 13589107427@163.com.

Funding

the Hospital Cultivation Fund Project of Shandong University Second Hospital under 2023HL05
6 · The paper itself

Abstract

backgroundThis study investigated variations in vaginal microbiota across female life stages and their correlation with quality of life.

methodsThis is a cross-sectional study based on the data and sample of 133 women from the outpatient department and health examination center of the hospital between January 2022 and July 2024. They were age-matched within a two-year range and classified into three groups: reproductive (n = 32), perimenopausal (n = 41), and postmenopausal (n = 60). Vaginal swabs were collected for 16 S rRNA gene sequencing on the Illumina platform to characterize microbial community structure. General information questionnaires, the Kupperman index, and the Menopause-Specific Quality of Life (MENQOL) questionnaire were administered to evaluate quality of life. Statistical analyses included α/β diversity indices and correlation analysis.

resultsSignificant differences in community diversity and structure were observed among the three groups (P < 0.05). From the reproductive to the postmenopausal stage, vaginal microbial diversity gradually increased, consistent with reduced Lactobacillus dominance, while the abundance of dominant bacteria decreased and the relative abundance of non-Lactobacillus taxa commonly associated with vaginal dysbiosis increased. Perimenopausal symptoms exhibited a worsening trend, accompanied by a notable decline in quality of life, particularly in sexual health.

conclusionVaginal microbiota differed across reproductive, perimenopausal, and postmenopausal women. Lower Lactobacillus abundance (and higher non-Lactobacillus taxa) was associated with higher Kupperman and MENQOL scores, and Lactobacillus showed a positive association with estradiol.

Indexed as

BacteriaMicrobiotaQuality of LifeVaginaAdultCross-Sectional StudiesDNA, BacterialFemaleHumansMenopauseMiddle AgedPerimenopausePostmenopauseRNA, Ribosomal, 16SSurveys and QuestionnairesDNA, BacterialRNA, Ribosomal, 16S16S rDNAAmplicon sequencingMicrobiotaPerimenopauseQuality of life

Identifiers

PMID41803680
PMCPMC13085509

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LicenceCC BY-NC-ND
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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.