TY - JOUR
T1 - Ecuación para agua corporal total basada en fórmula de Watson según perímetro abdominal y edad
AU - Guevara-Tirado, Alberto
N1 - Publisher Copyright:
© 2024 Medical Body of the Almanzor Aguinaga Asenjo National Hospital. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Objective: To develop a simplified anthropometric equation of total body water based on abdominal circumference and age based on Watson's formula. Material and methods: Analytical and cross-sectional study, based on data from the 2022 national demographic health survey (population=32,066). The variables were: total body water, age, sex, abdominal perimeter. Neural networks (multilayer perceptron), multiple linear regression, and Spearman correlation were used to compare the results with the 2021 survey population (population=31,966). Results: The multilayer perceptron had a relative error of 0.17 and 0.12 in women and men, respectively. The regression equation in women was: 8.083+ (0.308*abdominal circumference) + (-0.084*age). In men: 12.132+ (0.338*abdominal circumference) + (-0.166*age). The correlation of both equations was compared with a control group (ENDES-2021), finding very strong correlations in men (Rho=0.821) and women (Rho=0.816), similar to those of the main study (ENDES-2022) that had correlations of 0.897 and 0.845 in men and women, respectively. Conclusions: The equation to determine total body water based on abdominal perimeter and age is highly close to Watson's original formula. As it does not require a scale, stadiometer, and is a more simplified equation, it could be applicable to large population groups as a screening instrument.
AB - Objective: To develop a simplified anthropometric equation of total body water based on abdominal circumference and age based on Watson's formula. Material and methods: Analytical and cross-sectional study, based on data from the 2022 national demographic health survey (population=32,066). The variables were: total body water, age, sex, abdominal perimeter. Neural networks (multilayer perceptron), multiple linear regression, and Spearman correlation were used to compare the results with the 2021 survey population (population=31,966). Results: The multilayer perceptron had a relative error of 0.17 and 0.12 in women and men, respectively. The regression equation in women was: 8.083+ (0.308*abdominal circumference) + (-0.084*age). In men: 12.132+ (0.338*abdominal circumference) + (-0.166*age). The correlation of both equations was compared with a control group (ENDES-2021), finding very strong correlations in men (Rho=0.821) and women (Rho=0.816), similar to those of the main study (ENDES-2022) that had correlations of 0.897 and 0.845 in men and women, respectively. Conclusions: The equation to determine total body water based on abdominal perimeter and age is highly close to Watson's original formula. As it does not require a scale, stadiometer, and is a more simplified equation, it could be applicable to large population groups as a screening instrument.
KW - Anthropometry (Source: MeSH NLM)
KW - Body Water
KW - Linear Models
KW - Neural Networks, Computer
KW - Waist Circumference
UR - http://www.scopus.com/inward/record.url?scp=85211062882&partnerID=8YFLogxK
U2 - 10.35434/rcmhnaaa.2024.173.2458
DO - 10.35434/rcmhnaaa.2024.173.2458
M3 - Artículo
AN - SCOPUS:85211062882
SN - 2225-5109
VL - 17
JO - Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo
JF - Revista del Cuerpo Medico Hospital Nacional Almanzor Aguinaga Asenjo
IS - 3
ER -