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通过身体质量指数对坐高进行调整,以更好地评估马耳他女性的肥胖风险。

Body Mass Index adjustment for sitting height for better assessment of obesity risks in Maltese women.

作者信息

Abou-Hussein S, Abela M, Savona-Ventura C

机构信息

Department of Obstetrics and Gynaecology, Faculty of Medicine and Surgery, Mater Dei University Hospital, Msida, Malta.

出版信息

Int J Risk Saf Med. 2011;23(4):241-8. doi: 10.3233/JRS-2011-0540.

Abstract

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.

摘要

目的

本研究旨在通过测定坐高与身高的比值,评估体型对体重指数(BMI)估计值的影响。

方法

研究人群包括291名年龄在20 - 54岁之间的未怀孕绝经前马耳他女性。使用以下人体测量指标对这些女性进行评估:体重(千克)、身高(厘米)和坐高(厘米)。计算坐高与身高比值(SH/S)、基于身高的实测BMI(oBMI)以及经坐高与身高比值校正后的BMI(cBMI)。使用SPSS 18.0软件包进行统计计算。

结果

马耳他绝经前女性的平均坐高与身高比值为0.44。平均oBMI为25.06,而平均cBMI为34.49(P值<0.001)。以oBMI或cBMI为因变量、坐高与身高比值为自变量应用线性回归预测模型,结果表明坐高是oBMI和cBMI的显著预测因子(P值<0.00001)。

结论

结果表明,本研究队列人群的腿相对躯干较长(坐高与身高比值低)。因此,oBMI会低估实际BMI值。对马耳他人群的BMI进行坐高校正将更准确地识别出患慢性病风险更高的个体。

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