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A longitudinal study of the vaginal flora over a menstrual cycle

Keane, F E A, Ison, C A, Taylor-Robinson, D·1997·International Journal of STD & AIDS

Abstract

Healthy female volunteers participated in an anonymous study to monitor vaginal flora by taking daily vaginal samples and making a smear for later Gram-staining, as well as recording information on genital symptoms, sexual activity, contraceptive and bathing practices. A modification of Spiegel's criteria was used to categorize the Gram-stained smears, an intermediate category between normal flora and bacterial vaginosis (BV) being recognized. Of the 22 volunteers who completed the study, one was excluded because of pregnancy. Of the remaining 21 women, 10 (48%) had a normal flora throughout the study, 4 (19%) had an abnormal flora throughout and 7 (33%) had a basically normal flora which underwent a change to either an intermediate flora in 5 women or fully developed BV in 2 of them. In 5 (71%) of these women the change occurred within the first 9 days of the cycle. Transient changes in the vaginal microbial flora occurred predominantly in the first part of the menstrual cycle which suggests that in some women hormonal changes could have a role in the pathogenesis of bacterial vaginosis.

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Metadata

Authors
Keane, F. E. A., Ison, C. A., & Taylor-Robinson, D.
Venue
International Journal of STD & AIDS
Published
1997-08-01
Volume
8
Issue
8
Pages
489-494
ISSN
  • 0956-4624 (ISSN-L)
  • 1758-1052
OpenAlex
W2131217668
Cited by
169
References
0
FWCI
2.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A longitudinal study of the vaginal flora over a menstrual cycle. https://app.cochat.ai/papers/10.1258/0956462971920631
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Keane, F. E. A., Ison, C. A., & Taylor-Robinson, D. (1997). A longitudinal study of the vaginal flora over a menstrual cycle. International Journal of STD & AIDS. https://doi.org/10.1258/0956462971920631

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.