Menopause: The Journal of The North American Menopause Society Vol. 21, No. 8, pp. 855/860 DOI: 10.1097/gme.0000000000000171 * 2014 by The North American Menopause Society
Early severe vasomotor menopausal symptoms are associated with diabetes Gerrie-Cor M. Herber-Gast, PhD, and Gita D. Mishra, PhD 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. Key Words: Diabetes Y Epidemiology Y Hot flushes Y Menopause Y Night sweats.
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asomotor menopausal symptoms (VMS) include both hot flushes and night sweats and affect up to 70% of women during the menopausal transition.1,2 Several studies have demonstrated a relationship between VMS and increased cases of (subclinical)3
Early severe vasomotor menopausal symptoms are associated with diabetes Gerrie-Cor M. Herber-Gast, PhD, and Gita D. Mishra, PhD 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. Key Words: Diabetes Y Epidemiology Y Hot flushes Y Menopause Y Night sweats.
V
asomotor menopausal symptoms (VMS) include both hot flushes and night sweats and affect up to 70% of women during the menopausal transition.1,2 Several studies have demonstrated a relationship between VMS and increased cases of (subclinical)3
