Early severe vasomotor menopausal symptoms are associated with diabetes

Herber-Gast, Gerrie-Cor M. and Mishra, Gita D. (2014) Early severe vasomotor menopausal symptoms are associated with diabetes. Menopause, 21 8: 855-860. doi:10.1097/GME.0000000000000171

Author Herber-Gast, Gerrie-Cor M.
Mishra, Gita D.
Title Early severe vasomotor menopausal symptoms are associated with diabetes
Journal name Menopause   Check publisher's open access policy
ISSN 1072-3714
Publication date 2014-01-01
Year available 2014
Sub-type Article (original research)
DOI 10.1097/GME.0000000000000171
Open Access Status Not yet assessed
Volume 21
Issue 8
Start page 855
End page 860
Total pages 6
Place of publication Philadelphia, United States
Publisher Lippincott Williams & Wilkins
Language eng
Formatted abstract
Objective: The purpose of this study was to investigate associations between profiles of vasomotor menopausal symptoms (VMS) during the menopausal transition with the prevalence of diabetes.

Methods: VMS and diabetes were measured at baseline and 3-year intervals for 15 years in 4,895 women in the Australian Longitudinal Study on Women's Health who were aged 45 to 50 years at baseline in 1996. Latent class analysis and generalized estimating equation models for binary repeated measures were performed. The VMS profiles were labeled as mild, moderate, early severe, and late severe.

Results: The prevalence of diabetes in the total group was 9.0%. Compared with mild VMS, the odds of diabetes were higher in those with a late severe profile (though not statistically significant; adjusted odds ratio, 1.28; 95% CI, 0.97-1.68) and in those with an early severe profile (adjusted odds ratio, 1.67; 95% CI, 1.20-2.32). Adjustment for body mass index attenuated this association, but the odds of diabetes were still significantly higher in women with an early severe profile than in women with mild VMS (odds ratio, 1.55; 95% CI, 1.11-2.17). The moderate profile was not associated with diabetes.

Conclusions: Women with an early severe VMS profile are more likely to have diabetes across a period of 15 years. This association is not explained by body mass index or other potential confounders. Our findings imply that the predictive value of VMS for diabetes may vary with the timing of VMS relative to menopause.
Keyword Diabetes
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Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print 6 January 2014

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Public Health Publications
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Created: Thu, 24 Apr 2014, 00:59:15 EST by Katherine De Maria on behalf of School of Public Health