Castillo Castro Carolina, González Arellanes Rogelio, Camacho Mondragón Christian Giovanni, Farfán Esponda Heriberto Raúl, Del Razo Olvera Fabiola Mabel, Aguilar Salinas Carlos A, Martagon Alexandro J
Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
The Institute for Obesity Research, Tecnologico de Monterrey, Mexico City, Mexico.
Clin Med Insights Endocrinol Diabetes. 2024 Sep 1;17:11795514241274691. doi: 10.1177/11795514241274691. eCollection 2024.
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.
To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM).
Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method.
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.
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.
脂肪组织过多与包括2型糖尿病在内的不良健康后果相关。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X线吸收法（DXA）和计算机断层扫描（CT）准确测量脂肪组织对于管理和监测肥胖相关疾病至关重要。然而，在墨西哥的大多数医院中，这些方法并不容易获得。生物电阻抗分析（BIA）是非侵入性且低成本的，但在影响身体水合状态的情况下（如糖尿病）可能不可靠。
评估2型糖尿病（T2DM）的西班牙裔美国成年人中BIA与DXA之间的脂肪量一致性。
对18岁以上2型糖尿病患者的非概率样本进行横断面研究。我们将DXA用作参考方法。
我们评估了309名2型糖尿病患者通过BIA和DXA估计脂肪量的准确性。结果显示，使用BIA时有高估肥胖诊断的趋势，尤其是在脂肪量指数（FMI）较高的个体中。在组水平上我们发现BIA是准确的；然而，在个体水平上并非如此。两种方法之间的偏差显示，BIA在两性中均存在统计学上显著高估体脂的情况（P⩽.01）。BIA在估计脂肪量方面表现出高精度。我们能够为男性提供0.55千克的校正因子。
在糖尿病患者的身体成分评估中，与DXA相比，BIA不准确。测量不准确可能导致错误分类。然而，BIA在糖尿病患者的身体成分评估中是精确的，因此对于跟踪患者随时间的进展是可靠的。
