生物电阻抗分析与双能量 X 射线吸收测定法在估算 2 型糖尿病西班牙裔成人脂肪量方面的一致性:一项横断面研究。

IF 2.7 Q3 ENDOCRINOLOGY & METABOLISM
Carolina Castillo Castro, Rogelio González Arellanes, Christian Giovanni Camacho Mondragón, Heriberto Raúl Farfán Esponda, Fabiola Mabel Del Razo Olvera, Carlos A Aguilar Salinas, Alexandro J Martagon
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引用次数: 0

摘要

背景:脂肪组织过多与包括 2 型糖尿病在内的不良健康后果有关。体重指数(BMI)用于评估肥胖,但并不准确,因为它没有考虑肌肉质量、骨密度和脂肪分布。通过双能量 X 射线吸收测量法(DXA)和计算机轴向断层扫描(CT)对脂肪组织进行精确测量,对于管理和监测与脂肪有关的疾病至关重要。然而,在墨西哥的大多数医院中,这些设备并不容易获得。生物电阻抗分析(BIA)是一种非侵入性的低成本方法,但在糖尿病等影响身体水合状态的情况下可能并不可靠:评估 BIA 和 DXA 在患有 2 型糖尿病(T2DM)的西班牙裔美国成年人中的脂肪量一致性:方法:对 18 岁以上患有 2 型糖尿病的非概率样本进行横断面研究。我们使用 DXA 作为参考方法:结果:我们对 309 名 2 型糖尿病患者通过 BIA 和 DXA 估算 FM 的准确性进行了评估。结果显示,BIA 有高估肥胖诊断的趋势,尤其是在脂肪质量指数(FMI)较高的人群中。在群体水平上,我们发现 BIA 是准确的,但在个体水平上,它并不准确。两种方法之间的偏差显示,BIA 对男女体脂的高估具有显著的统计学意义(P ⩽.01)。BIA 在估计脂肪量方面表现出很高的精确度。我们能够为男性提供 0.55 千克的校正系数:结论:与 DXA 相比,BIA 对糖尿病患者身体成分的评估并不准确。不准确的测量会导致分类错误。然而,BIA 对糖尿病患者的身体成分评估是精确的,因此它对跟踪患者的长期进展是可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agreement Between Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry to Estimate Fat Mass in Hispanic Adults With Type 2 Diabetes Mellitus: A Cross-Sectional Study.

Background: Adipose tissue excess is associated with adverse health outcomes, including type 2 diabetes. Body mass index (BMI) is used to evaluate obesity but is inaccurate as it does not account for muscle mass, bone density, and fat distribution. Accurate measurement of adipose tissue through dual-energy X-ray absorptiometry (DXA) and computed axial tomography (CT) is crucial for managing and monitoring adiposity-related diseases. Still, these are not easily accessible in most hospitals in Mexico. Bioelectrical impedance analysis (BIA) is non-invasive and low-cost but may not be reliable in conditions affecting the body's hydration status, like diabetes.

Objectives: To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM).

Methods: Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method.

Results: We evaluated the accuracy of FM estimation through BIA and DXA in 309 subjects with type 2 diabetes. Results showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index (FMI). At the group level, we found BIA accurate; however, at the individual level, it is not. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA (P ⩽ .01) in both sexes. BIA demonstrated high precision in estimating fat mass. We were able to provide a correction factor of 0.55 kg in men.

Conclusion: BIA is inaccurate compared to DXA for body composition assessment in patients with diabetes. Inaccurate measurements can result in misclassification. However, BIA is precise for body composition assessment in patients with diabetes, so it is reliable for tracking patient progress over time.

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CiteScore
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