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首页> 外文期刊>The International journal of risk & safety in medicine. >Body Mass Index adjustment for sitting height for better assessment of obesity risks in Maltese women
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Body Mass Index adjustment for sitting height for better assessment of obesity risks in Maltese women

机译:针对坐姿的体重指数调整,可以更好地评估马耳他女性的肥胖风险

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Objective: This study is aimed to assess the influence of body shape on Body Mass Index (BMI) estimations by determining the Sitting Height to Standing height ratio.Methods: The study population included 291 non-pregnant premenopausal Maltese women aged 20-54 years. These women were assessed using the following anthropometric measurements: Body weight (Kg), standing height (cm) and sitting height (cm). The Sitting-to-Standing Height (SH/S) ratio, the observed BMI (oBMI) based on the standing height, and the SH/S ratio-corrected BMI (cBMI) were calculated. The SPSS package version 18.0 was used for statistical calculations.Results: The average SH/S ratio of the Maltese premenopausal women is 0.44. The mean oBMI is 25.06, while the mean cBMI is 34.49 (P value < 0.001). Applying the linear regression prediction model with either oBMI or cBMI as dependent variables and the SH/S ratio as independent variable proved that the sitting height is a significant predictor of both oBMI and cBMI(P value < 0.00001).Conclusions: The results suggest that the cohort of this study tend to have long legs relative to torso-length (low SH/S ratio). Thus, the oBMI will underestimate the actual BMI value. The correction of BMI for the sitting height in Maltese population will more correctly identify individuals at greater risk for chronic diseases.
机译:目的:本研究旨在通过确定就座高度与站立高度之比来评估身体形态对体重指数(BMI)估计的影响。方法:研究人群包括291名20-54岁的非绝经前马耳他女性。使用以下人体测量法对这些妇女进行评估:体重(Kg),站立高度(cm)和坐姿高度(cm)。计算了就座高度(SH / S),基于站立高度的观察BMI(oBMI)和经SH / S比校正的BMI(cBMI)。使用SPSS软件包18.0版进行统计计算。结果:马耳他绝经前妇女的平均SH / S比为0.44。平均oBMI为25.06,而平均cBMI为34.49(P值<0.001)。应用以oBMI或cBMI为因变量,以SH / S比为自变量的线性回归预测模型,证明就座高度是oBMI和cBMI的重要预测指标(P值<0.00001)。结论:结果表明该研究的队列相对于躯干长度(低SH / S比)倾向于有长腿。因此,oBMI将低估实际的BMI值。对马耳他人口的就座高度进行BMI校正将更正确地识别出罹患慢性病风险更高的个体。

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