Association Between Age of Menarche and Low Bone Mass Following Menopause

Program: Abstracts - Orals, Featured Poster Presentations, and Posters
Session: SUN 199-233-Bone Biology
Sunday, June 16, 2013: 1:45 PM-3:45 PM
Expo Halls ABC (Moscone Center)

Poster Board SUN-230
Arshpreet Kaur*1, Priyanka Iyer1 and Esther Irina Krug2
1Johns Hopkins University/ Sinai Hospital of Baltimore, Baltimore, MD, 2Johns Hopkins University/ Sinai Hosp of Baltimore, Baltimore, MD
Background: Osteoporosis and related fractures impose a significant burden on quality of life and healthcare cost. Identification of risk factors is important for prevention and diagnosis. Association between age at menarche and risk of osteoporosis remains controversial.

Objective: To study effect of age at menarche on post-menopausal bone mineral density.

Design: Retrospective cross-sectional study with chart review. We reviewed charts of consecutive post-menopausal female patients aged 48 to 70 years seen at Sinai Bone Health Center. Patients were contacted via telephone to obtain verbal consent for participation and their age at menarche. Patients with chronic malabsorption, inflammatory bowel disease, prior hysterectomy with preserved ovaries, those on hormone replacement or glucocorticoid therapy, were excluded. Of 152 patients who met the criteria, 26 were either not reachable or declined to participate. Remaining 126 patients were stratified into 3 groups based on age at menarche: 11 yrs or less, 12 to 13 years and 14 years or more. Chi square, univariate and multivariate statistical methods were used to analyze the data.

Results:Groups were matched for age at menopause, BMI, race and risk factors for osteoporosis. Late onset menarche was associated with higher incidence of osteopenia and osteoporosis (p=0.04). On sub group analysis, association was found for spine (p=0.002), but not for femoral neck (p=0.054) or hip (p=0.34).

Conclusion: There is a possible association between late menarche and post-menopausal osteoporosis. The study is limited by the small sample size. Larger studies are needed to verify findings.

Nothing to Disclose: AK, PI, EIK

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