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Cited by 229

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Study of symptoms in middle life with special reference to the menopause.

Open access
Bungay, G T, Vessey, M P, McPherson, C K·1980·BMJ

Abstract

In an attempt to clarify the nature of the "menopausal syndrome" a survey of symptoms was carried out by means of postal questionnaires in a population sample of 1120 women and 510 men. Special care was taken to avoid letting the participants know that the survey was mainly concerned with the menopause. Response rates were 72% for women and 68% for men. Analysis of patterns of symptoms by age and sex showed that peaks of prevalence of flushing and sweating were closely associated with the mean age of menopause, coinciding with it or occurring a little after it. Less impressive peaks of prevalence of a group of minor mental symptoms were associated with an age just preceding the mean age of menopause. Complaints about aching breasts, irritability, and low backache diminished after the menopause. No association with the menopause was found for various other symptoms. The results of this study support the view that the menopausal syndrome exists but do not, of course, provide any evidence concerning the effectiveness (or safety) of hormone treatment.

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Metadata

Authors
Bungay, G. T., Vessey, M. P., & McPherson, C. K.
Venue
BMJ
Publisher
BMJ
Published
1980-07-19
Volume
281
Issue
6234
Pages
181-183
ISSN
  • 0007-1447 (ISSN-L)
  • 1468-5833
OpenAlex
W2095447835
Cited by
229
References
0
FWCI
4.51
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Study of symptoms in middle life with special reference to the menopause. https://app.cochat.ai/papers/10.1136/bmj.281.6234.181
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Bungay, G. T., Vessey, M. P., & McPherson, C. K. (1980). Study of symptoms in middle life with special reference to the menopause. BMJ. https://doi.org/10.1136/bmj.281.6234.181

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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.