Diseño y validación de ecuaciones basadas en antropometría y bioimpedancia eléctrica para estimar masa muscular en extremidades en adulto mayor con independencia física
Year: 2012
Type: dissertation
Study design: Observational Study
Abstract: Changes in body composition (BC) of most clinical importance in elderly subjects are: an increase and redistribution of fat (mainly in the abdominal region), loss of muscle and bone mass. It is important to note that loss of skeletal muscle mass and strength (sarcopenia) is assumed to be a major component of fraility and functional impairment in elderly subjects. These body compartments can be measured with great accuracy using high technology equipment, with the disadvantage of its costs and accessibility. An alternative when lacking this equipment is to use validated equations which indirectly estimate body compartments, with the advantage of being practical, and of low cost. At present, there is no equation to measure muscle mass in extremities (appendicular mass) in elderly Mexican subjects. Objectives: to develop and validate equations using anthropometry and bioelectrical impedance analysis (BIA) in order to estimate appendicular skeletal muscle mass (ASMM) using dual energy X ray absorptiometry (DXA) as the gold standard. To validate a published equation developed in Caucasians, and to obtain the prevalence of sarcopenia with the residual method. Method: healthy 60 y and over elderlies were invited; they were functionally independent and had no disease which altered their BC. Blood samples were taken, anthropometry (height, weight, breath measures), BIA and DXA as well. Descriptive statistic was used, simple and multiple regression for the development of the equation. The equation was cross validated and the Bland and Altman method was used to assess agreement between methods. Results.- A BIA equation which met regression assumptions was developed in 107 subjects and cross validated in 106: ASMM= -9.693 + (0.421*h2/R) + (1.837*sex) + 0.011*R, where h= height (cm); R=resistance (?); sex 1= male, 0 = female, with a R2= 0.91 and a SEE of 1.03 kg. This equation was precise and accurate. The anthropometry equation and the published one lacked accuracy and precision. Prevalence of sarcopenia was 11.4% in women and 20% in men.
Source: Americanae (AECID Library)
Authors: Rangel Peniche, Diana Beatríz
Language: Spanish
Subfield: Physiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2573216144