Agreement between laboratory methods and the 4-compartment model in assessing fat mass in obese older Hispanic-American adults

González-Arellanes, Rogelio; Urquídez-Romero, René; Rodríguez-Tadeo, Alejandra; Esparza‐Romero, Julián; Mendez‐Estrada, Rosa Olivia; Ramírez-López, Erik; Robles-Sardín, Alma E.; Pacheco-Moreno, Bertha I.; Alemán-Mateo, Heliodoro

doi:10.1016/j.clnu.2020.12.020

Cited by 6 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the simplified structure of this calculation method sacrifices some accuracy, especially in situations with significant individual differences and complex body types, making it less suitable for studies that require greater accuracy in body fat percentage calculation. [15] In addition, the introduction of age as a factor introduces variation in the applicability of the formula to different age groups, which could potentially affect the accuracy of the research results.…”

Section: Density Measurement Methodsmentioning

confidence: 99%

Adult obesity diagnostic tool: A narrative review

Liu,

He,

2024

Medicine

View full text Add to dashboard Cite

Obesity is a complex chronic metabolic disorder characterized by abnormalities in lipid metabolism. Obesity is not only associated with various chronic diseases but also has negative effects on physiological functions such as the cardiovascular, endocrine and immune systems. As a global health problem, the incidence and prevalence of obesity have increased significantly in recent years. Therefore, understanding assessment methods and measurement indicators for obesity is critical for early screening and effective disease control. Current methods for measuring obesity in adult include density calculation, anthropometric measurements, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, computerized imaging, etc. Measurement indicators mainly include weight, hip circumference, waist circumference, neck circumference, skinfold thickness, etc. This paper provides a comprehensive review of the literature to date, summarizes and analyzes various assessment methods and measurement indicators for adult obesity, and provides insights and guidance for the innovation of obesity assessment indicators.

show abstract

Section: Density Measurement Methodsmentioning

confidence: 99%

Adult obesity diagnostic tool: A narrative review

Liu,

He,

2024

Medicine

View full text Add to dashboard Cite

show abstract

“…This is a secondary analysis generated from various studies with a cross-sectional design ( 33 – 35 ) and the baseline data of one randomized clinical trial ( 36 ) carried out in the Body Composition Laboratory of the Food and Development Research Center, (CIAD, A.C.). This analysis included a large sample of older men and women from Hermosillo, Sonora, México.…”

Section: Methodsmentioning

confidence: 99%

“…If these two conditions were met, agreement was accomplished, meaning that the BIA equation can be considered as an interchangeable method to DXA to assess ASM in this large sample of non-Caucasian older adults. This methodology to establish agreement has been described and applied in other validation studies ( 33 , 47 ).…”

Section: Methodsmentioning

confidence: 99%

“…This CF does not change the behavior of the variables included in the equation, but it makes it possible to reduce the average of the differences (bias) in the estimates at group level. This correction has been proposed in other studies ( 33 , 48 ), and has provided the opportunity to improve the estimates according to the equations where applicable.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

External validation of BIA equations to estimate appendicular skeletal muscle mass in older adults: Importance of the bias analysis and derivation of correction factors to achieve agreement

et al. 2022

Self Cite

View full text Add to dashboard Cite

There are several equations based on bioelectrical impedance analysis (BIA) to estimate with high precision appendicular skeletal muscle mass (ASM). However, most of the external validation studies have reported that these equations are inaccurate or biased when applied to different populations. Furthermore, none of the published studies has derived correction factors (CFs) in samples of community-dwelling older adults, and none of the published studies have assessed the influence of the dual-energy X-ray absorptiometry (DXA) model on the validation process. This study assessed the agreement between six BIA equations and DXA to estimate ASM in non-Caucasian older adults considering the DXA model and proposed a CF for three of them. This analysis included 547 non-institutionalized subjects over 60 years old from the northwest of Mexico who were physically independent and without cognitive impairment: 192 subjects were measured using DXA Hologic, while 355 were measured by DXA Lunar. The agreement between each of the equations and DXA was tested considering the DXA model used as a reference method for the design of each equation, using the Bland and Altman procedure, a paired t test, and simple linear regression as objective tests. This process was supported by the differences reported in the literature and confirmed in a subsample of 70 subjects measured with both models. Only six published BIA equations were included. The results showed that four equations overestimated ASMDXA, and two underestimated it (p < 0.001, 95% CI for Kim's equation:−5.86-−5.45, Toselli's:−0.51-−0.15, Kyle's: 1.43–1.84, Rangel-Peniche's: 0.32–0.74, Sergi's: 0.83–1.23, and Yoshida's: 4.16–4.63 kg). However, Toselli's, Kyle's and Rangel-Peniche's equations were the only ones that complied with having a homogeneous bias. This finding allowed the derivation of CFs, which consisted of subtracting or adding the mean of the differences from the original equation. After estimating ASM applying the respective CF, the new ASM estimations showed no significant bias and its distribution remained homogeneously distributed. Therefore, agreement with DXA in the sample of non-Caucasian was achieved. Adding valid CFs to some BIA equations allowed to reduce the bias of some equations, making them valid to estimate the mean values of ASM at group level.

show abstract