Resumo

MEZA-PAREDES, Johana Vanessa; INSAURRALDE-ALVISO, Ariel  e  ALVISO, Dario. Mathematical model to estimate the quality of life index in older adults using the FUMAT survey. Mem. Inst. Investig. Cienc. Salud [online]. 2021, vol.19, n.3, pp.44-53. ISSN 1812-9528.  https://doi.org/10.18004/mem.iics/1812-9528/2021.019.03.44.

Many people nowadays dedicate their efforts to "the new culture of longevity", which is an attempt to live longer and in the best conditions of life. The objective is to propose a mathematical model to estimate the quality of life index (ICV) in older adults. The case study corresponds to nursing homes in the periurban area of ​​Asunción, Paraguay. This is a cross-sectional descriptive observational study. 33 adults over 60 years of age, of both sexes, participated, for whom the ICV was estimated through the ICV Assessment in Older Adults (FUMAT) survey. A multiple linear regression analysis was conducted to estimate the ICV using parameters of different indicators. Regarding the quality of life indicators, it was found that the lowest averages concerning the indicators correspond to those related to law (43 ± 19), material well-being (45 ± 30) and self-determination (48 ± 24). The proposed model presents an excellent agreement with the initial data. The standard error and RMSE values are 0.22% and 0.10, respectively. Furthermore, the model correctly reproduces the dependence of the different indicators on the ICV value. In addition, it allows us to identify the indicators with the most weight in estimating the ICV, and to predict its value in other samples.

Palavras-chave : Older adult; Quality of life; Regression; Mathematical model.

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