Sridharan Kalyani, Cherian Kripa E, Kurian Mathews E, Asha Hesarghatta S, Paul Thomas V, Kapoor Nitin
Assistant professor, Department of Endocrinology, Diabetes and Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Research officer, Department of Endocrinology, Diabetes and Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Trop Doct. 2020 Jul;50(3):228-232. doi: 10.1177/0049475520922769. Epub 2020 May 16.
Osteoporosis is characterised by low bone mineral density (BMD) and is a significant public health problem in India. This cross-sectional study was done to assess the relationship between various anthropometric measures and BMD in 308 rural dwelling South Indian postmenopausal women. Anthropometric variables such as weight, body mass index (BMI), waist circumference (WC), hip circumference (HC) and neck circumference (NC) were measured. BMD was assessed by dual-energy X-ray absorptiometry (DXA) scan at the lumbar spine (LS) and femoral neck (NOF). The mean age ± SD of study participants was 60.7 ± 7.8 years. All anthropometric variables showed positive correlation with BMD at NOF and LS ( < 0.05). Weight showed the best correlation (r = 0.482 for NOF and 0.412 for LS; < 0.001). On multivariate logistic regression, age and weight remained significant for predicting femoral neck osteoporosis while weight and WC were the best predictors for LS osteoporosis. These anthropometric measures may serve as surrogate markers for osteoporosis and thus be used to screen postmenopausal women for referral to a centre with fewer limited resources.
骨质疏松症的特征是骨矿物质密度（BMD）低，在印度是一个重大的公共卫生问题。这项横断面研究旨在评估308名居住在印度南部农村的绝经后妇女的各种人体测量指标与骨密度之间的关系。测量了体重、体重指数（BMI）、腰围（WC）、臀围（HC）和颈围（NC）等人体测量变量。通过双能X线吸收法（DXA）扫描评估腰椎（LS）和股骨颈（NOF）的骨密度。研究参与者的平均年龄±标准差为60.7±7.8岁。所有人体测量变量均与股骨颈和腰椎的骨密度呈正相关（<0.05）。体重显示出最佳相关性（股骨颈r=0.482，腰椎r=0.412；<0.001）。在多因素逻辑回归分析中，年龄和体重仍然是预测股骨颈骨质疏松症的重要因素，而体重和腰围是腰椎骨质疏松症的最佳预测因素。这些人体测量指标可作为骨质疏松症的替代标志物，因此可用于筛查绝经后妇女，以便转诊至资源有限的中心。
