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Siri 和 Brozek 方程在老年人身体脂肪百分比估计中的准确性。

Accuracy of Siri and Brozek equations in the percent body fat estimation in older adults.

机构信息

UISPA-IDMEC, Faculty of Engineering, University of Porto, Porto Portugal.

出版信息

J Nutr Health Aging. 2010 Nov;14(9):744-8. doi: 10.1007/s12603-010-0112-z.

Abstract

OBJECTIVE

To identify which equation, Siri or Brozek, based on the two compartment model, provides a more accurate conversion of body density (BD) in percent body fat (%BF) in a group of older adults.

STUDY DESIGN

Cross-sectional study.

SETTING

Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto.

PARTICIPANTS

60 older adults, aged 60-92 years.

MEASUREMENTS

Skinfold thickness was used to estimate BD through Visser et al. prediction equation. The conversion of BD to %BF was done with Siri (%BF-Siri) and Brozek (%BF-Brozek) formulas and these determined values were both compared to Dual-Energy X-ray Absorptiometry (%BF-DXA) evaluations.

RESULTS

A strong correlation between the %BF-DXA value and %BF-Siri (r=0.91, p < 0.001) and %BF-Brozek (r=0.91, p < 0.001) was found, although %BF-Siri and %BF-Brozek overestimated %BF-DXA (p < 0.001). The comparison of the %BF-Siri and %BF-Brozek mean values also revealed significant differences (p < 0.001). The %BF-Brozek reflects a better agreement than the %BF-Siri with %BF-DXA with respectively a mean difference of -4.0 %BF (limits of agreement = -10.9 to 2.9%) and -5.7 %BF (-12.6 to 1.2). The Bland and Altman plots confirmed that %BF-Brozek reflects a better agreement with %BF-DXA.

CONCLUSION

The results of the present study show that the use of Brozek equation may correspond to a more accurate alternative than Siri equation for the conversion of BD in %BF in older adults.

摘要

目的

根据双 compartment 模型,确定 Siri 或 Brozek 方程在将体密度(BD)转换为体脂百分比(%BF)时,哪种方程在一组老年人中提供更准确的结果。

研究设计

横断面研究。

设置

波尔图大学体育、健康与休闲研究中心。

参与者

60 名年龄在 60-92 岁的老年人。

测量

使用 Visser 等人的预测方程通过皮褶厚度来估计 BD。通过 Siri(%BF-Siri)和 Brozek(%BF-Brozek)公式将 BD 转换为 %BF,然后将这两个确定的值与双能 X 射线吸收法(%BF-DXA)评估进行比较。

结果

发现 %BF-DXA 值与 %BF-Siri(r=0.91,p < 0.001)和 %BF-Brozek(r=0.91,p < 0.001)之间存在很强的相关性,尽管 %BF-Siri 和 %BF-Brozek 高估了 %BF-DXA(p < 0.001)。%BF-Siri 和 %BF-Brozek 的平均值比较也显示出显著差异(p < 0.001)。%BF-Brozek 与 %BF-DXA 的一致性优于 %BF-Siri,其平均差异分别为 -4.0%BF(一致性界限=-10.9 至 2.9%)和 -5.7%BF(-12.6 至 1.2%)。Bland 和 Altman 图证实,%BF-Brozek 与 %BF-DXA 的一致性更好。

结论

本研究结果表明,在将 BD 转换为老年人的 %BF 时,Brozek 方程的使用可能比 Siri 方程更准确。

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