Self-Organizing Maps to Multidimensionally Characterize Physical Profiles in Older Adults

Lorena Parra-Rodríguez, Edward Reyes-Ramírez, José Luis Jiménez-Andrade, Humberto Carrillo-Calvet and Carmen García-Peña ()
Additional contact information
Lorena Parra-Rodríguez: Research Department, Instituto Nacional de Geriatría, Mexico City 10200, Mexico
Edward Reyes-Ramírez: Research Department, Instituto Nacional de Geriatría, Mexico City 10200, Mexico
José Luis Jiménez-Andrade: Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
Humberto Carrillo-Calvet: Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
Carmen García-Peña: Research Department, Instituto Nacional de Geriatría, Mexico City 10200, Mexico

IJERPH, 2022, vol. 19, issue 19, 1-25

Abstract: The aim of this study is to automatically analyze, characterize and classify physical performance and body composition data of a cohort of Mexican community-dwelling older adults. Self-organizing maps (SOM) were used to identify similar profiles in 562 older adults living in Mexico City that participated in this study. Data regarding demographics, geriatric syndromes, comorbidities, physical performance, and body composition were obtained. The sample was divided by sex, and the multidimensional analysis included age, gait speed over height, grip strength over body mass index, one-legged stance, lean appendicular mass percentage, and fat percentage. Using the SOM neural network, seven profile types for older men and women were identified. This analysis provided maps depicting a set of clusters qualitatively characterizing groups of older adults that share similar profiles of body composition and physical performance. The SOM neural network proved to be a useful tool for analyzing multidimensional health care data and facilitating its interpretability. It provided a visual representation of the non-linear relationship between physical performance and body composition variables, as well as the identification of seven characteristic profiles in this cohort.

Keywords: self-organizing maps (SOM); artificial neural network analysis; body composition and physical performance tests; older adults (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/19/12412/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/19/12412/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:19:p:12412-:d:928959

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().