4.3 Article

Bone mineral density in midlife women: the Study of Women's Health in Qatar

Journal

CLIMACTERIC
Volume 18, Issue 2, Pages 316-322

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.3109/13697137.2014.944495

Keywords

BONE MINERAL DENSITY; MENOPAUSE; BODY MASS INDEX; QATAR

Funding

  1. Qatar National Research Fund, National Priorities Research Program [08-467-3-098]
  2. Clinical Translational Science Center (CTSC), National Center for Advancing Translational Sciences (NCATS) [UL1-TR000457-06]
  3. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR000457] Funding Source: NIH RePORTER

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Objectives The aim of this study is to investigate bone mineral density (BMD) for a large cross-section of midlife Arab women living in Qatar and to evaluate the association of body mass index (BMI), menopause status, and nationality, on BMD of the spine and femur. Study design A cross-sectional study was conducted among women aged 40-60 years recruited from nine primary-care health centers in Qatar. BMD (g/m(2)) was assessed at the lumbar spine and the femur. Results The combined prevalence of osteopenia and osteoporosis was 4% at the femur and 16.2% at the spine. BMI and menstrual status were both independently associated with BMD at the spine and at the femur (all p values < 0.001). As BMI increased, BMD increased at both the spine and femur. Women who menstruated in the past 12 months had 0.82 g/cm(2) and 0.61 g/cm(2) greater BMD at the spine and femur, respectively, compared with women who had not menstruated in 12 months. Nationality was not associated with mean BMD of the spine or the femur. Conclusions No significant differences were observed between Qatari and non-Qatari women in terms of mean BMD values at the spine and the femur except for the femur in the age group 55-60, where values were lower among non-Qataris (p = 0.04). Multivariable analyses showed that BMI and menstrual status were found to be strongly associated with BMD levels at the spine and femur. The high prevalence of obesity observed in this sample may explain the low levels of osteopenia and osteoporosis observed.

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