Formulation of a predictive equation as an alternative instrument for measuring muscle mass in elderly women in Brasília (DF)
DOI:
https://doi.org/10.6008/CBPC2236-9600.2023.003.0005Keywords:
Technology, Body composition, Seniors, Predictive equationsAbstract
The population is aging and designing strategies that improve the living conditions of these people is necessary. The technology can predict physiological changes that alter the functional capacity of the elderly, making treatments earlier. DXA is a type of technology considered the gold standard, however, it is not always accessible due to its high cost. propose a predictive MME equation for elderly women attending a CCI in Brasília (DF). Anthropometric and sociodemographic measurements were collected from 134 elderly women with an average age of 69.39 ± 6.34 years. A prediction model was developed from a linear multiple analysis based on a previous equation proposed in a comparative way with DXA. The proposed model is significant when compared with the original equation and can be used to evaluate elderly women with the profile of the sample studied. Furthermore, 70% of the variance that predicts MME can be explained by the variables applied (calf circumference, AMBc, height and age) in the construct. Discovering body changes in an elderly person early is essential as it can prevent an ongoing condition and prevent the appearance of new changes. Predictive equations can be a useful tool in measuring important components of the body. These can improve the performance of healthcare professionals who do not have technology at their fingertips. New studies must be carried out to overcome the limitations found in this research.
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