■脂肪组织过量与不良健康结局相关,包括2型糖尿病。体重指数(BMI)用于评估肥胖,但不准确,因为它没有考虑肌肉质量,骨密度,和脂肪分布。通过双能X射线吸收法(DXA)和计算机轴向断层扫描(CT)精确测量脂肪组织对于管理和监测肥胖相关疾病至关重要。尽管如此,这些在墨西哥的大多数医院都不容易获得。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条件下可能不可靠,比如糖尿病.
■评估西班牙裔美国成年人2型糖尿病(T2DM)的BIA和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的横断面研究。我们使用DXA作为参考方法。
■我们评估了309名2型糖尿病患者通过BIA和DXA进行FM估计的准确性。结果表明,使用BIA高估肥胖的诊断趋势,特别是在具有较高脂肪质量指数(FMI)的个体中。在集团层面,我们发现BIA准确;然而,在个人层面,它不是。2种方法之间的偏倚表明,在两性中,BIA对身体脂肪的高估有统计学上的显着(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公斤的校正系数。
■与DXA相比,BIA对于糖尿病患者的身体成分评估是不准确的。不准确的测量会导致错误分类。然而,BIA对糖尿病患者的身体成分评估是精确的,因此,它是可靠的跟踪病人的进展随着时间的推移。
生物电阻抗分析和双能X射线吸收法之间的协议,以估计2型糖尿病成人的脂肪量本研究比较了两种方法在墨西哥糖尿病患者中测量身体成分。第一种方法是生物电阻抗分析(BIA)。是非侵入性的,低成本,易于使用,但在影响身体水合状态的条件下可能不可靠,比如糖尿病.第二种方法是双能X射线吸收法(DXA),更准确,但不太容易获得。该研究是通过HbA1C水平对309名超过18年的2型糖尿病(T2DM)参与者进行的横断面评估。本研究发现,与DXA作为参考方法相比,BIA对于身体成分评估是精确的,但不准确。该研究表明,使用BIA高估肥胖的诊断趋势,尤其是脂肪质量指数较高的个体。这项研究发现,BIA在群体水平上是准确的,但在个体水平上不是准确的。2种方法之间的偏倚显示BIA对体脂的高估有统计学意义。我们为男性提供了0.55kg的校正系数,而不是女性。BIA对于诊断肥胖并不理想,但对于跟踪患者随时间的进展是可靠的。
UNASSIGNED: 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.
UNASSIGNED: To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM).
UNASSIGNED: Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method.
UNASSIGNED: 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.
UNASSIGNED: 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.
Agreement between bioelectrical impedance analysis and dual-energy X-ray absorptiometry to estimate fat mass in adults with type 2 Diabetes Mellitus This study compares 2 methods for measuring body composition in patients with diabetes in Mexico. The first method is Bioelectrical Impedance Analysis (BIA), which is non-invasive, low-cost, and easy to use but may not be reliable in conditions that affect the body’s hydration status, like diabetes. The second method is Dual-energy X-ray Absorptiometry (DXA), which is more accurate but less easily accessible. The study was a cross-sectional evaluation of 309 participants over 18 years with type 2 diabetes mellitus (T2DM) by HbA1C levels. The present study found BIA to be precise for body composition assessment but not accurate compared to DXA as the reference method. The study showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index. This study found BIA is accurate at the group level but not at the individual level. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA. We provided a correction factor of 0.55 kg in men but not women. BIA is not ideal for diagnosing obesity but is reliable for tracking patient progress over time.