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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.
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.
Afiliação
  • Castillo Castro C; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
  • González Arellanes R; The Institute for Obesity Research, Tecnologico de Monterrey, Mexico City, Mexico.
  • Camacho Mondragón CG; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
  • Farfán Esponda HR; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
  • Del Razo Olvera FM; Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico.
  • Aguilar Salinas CA; Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico.
  • Martagon AJ; Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Clin Med Insights Endocrinol Diabetes ; 17: 11795514241274691, 2024.
Article em En | MEDLINE | ID: mdl-39224772
ABSTRACT

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.
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Med Insights Endocrinol Diabetes Ano de publicação: 2024 Tipo de documento: Article País de afiliação: México País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Med Insights Endocrinol Diabetes Ano de publicação: 2024 Tipo de documento: Article País de afiliação: México País de publicação: Estados Unidos