Abstract P064: Associations Between Signs and Symptoms of Androgen Excess With Prediabetes and Diabetes in Hispanic/Latina Women of Reproductive Age in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)
Background: Androgen excess is a characteristic of polycystic ovary syndrome (PCOS). Signs and symptoms of androgen excess are associated with cardiometabolic risk factors and diabetes, however the characterization is incomplete among premenopausal women and high risk groups such as Hispanic/Latina women.
Methods: HCHS/SOL is a community-based cohort study of 16,415 self-identified Hispanic/Latino adults from diverse backgrounds in the US at the baseline visit (2008-2011; 3,801 women age 18-44 years). This preliminary cross-sectional analysis is from 994 reproductive-aged women who attended the ongoing visit 2 (Oct. 2014-Sept. 2017) by Sept. 2016. Signs and symptoms of androgen excess included menstrual cycle irregularities, self-reported PCOS, and oral contraceptive use to regulate menstrual cycles or acne. Impaired fasting glucose (prediabetes) was defined as fasting glucose 100-125 mg/dL (excluding diabetes), and diabetes as fasting glucose ≥126 mg/dL, glucose post oral glucose tolerance test ≥200 mg/dL, or hemoglobin A1c ≥6.5%. Design-based estimates are presented and adjusted for site, age, Hispanic/Latina background, education, smoking status, and body mass index.
Results: The mean age was 34 years. The prevalence of any sign or symptom of androgen excess was 28%, of which 19% self-reported having PCOS. Signs and symptoms of androgen excess was not significantly associated with the odds of prediabetes or diabetes (see table). Women self-reporting PCOS or oral contraceptive use to regulate cycles or acne had a higher odds of diabetes compared to those that did not, although not statistically significant.
Conclusion: In this sample of Hispanic/Latina women, the association between signs and symptoms of androgen excess and the odds of prediabetes or diabetes were not statistically significant. Future analyses will include the whole cohort of reproductive-aged women that will improve statistical power and be critical to further characterize these relationships.
Author Disclosures: M.L. Meyer: None. D. Sotres-Alvarez: None. A. Steiner: None. L. Cousins: None. G.A. Talavera: None. J. Cai: None. M.L. Daviglus: None. L.R. Loehr: None.
- © 2017 by American Heart Association, Inc.