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Utility of anthropometric indicators in predicting osteoporosis in ambulant community dwelling rural postmenopausal women from southern India.
Tropical Doctor ( IF 0.6 ) Pub Date : 2020-05-16 , DOI: 10.1177/0049475520922769
Kalyani Sridharan 1 , Kripa E Cherian 1 , Mathews E Kurian 2 , Hesarghatta S Asha 3 , Thomas V Paul 3 , Nitin Kapoor 4
Affiliation  

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 (P < 0.05). Weight showed the best correlation (r = 0.482 for NOF and 0.412 for LS; P < 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.

中文翻译:

人体测量指标在预测印度南部农村绝经后流动妇女居住社区骨质疏松症中的作用。

骨质疏松症的特点是骨矿物质密度低(BMD),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名南印度绝经后农村居住妇女的各种人体测量学指标与BMD之间的关系。测量体重,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线骨密度仪(DXA)扫描腰椎(LS)和股骨颈(NOF)评估BMD。研究参与者的平均年龄±SD为60.7±7.8岁。所有人体测量学变量在NOF和LS时均与BMD呈正相关(P <0.05)。体重表现出最好的相关性(对于NOF,r = 0.482;对于LS,r = 0.412; P <0.001)。在多元逻辑回归中,年龄和体重对于预测股骨颈骨质疏松症仍然很重要,而体重和WC是LS骨质疏松症的最佳预测指标。这些人体测量学指标可作为骨质疏松症的替代指标,因此可用于筛选绝经后妇女转诊至资源较少的中心。
更新日期:2020-05-16
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