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    • SCIENTIFIC PRODUCTION
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    • Dpto. Pediatría e Inmunología, Obstetricia y Ginecología, Nutrición y Bromatología, Psiquiatría e Historia de la Ciencia
    • DEP55 - Artículos de revista
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    • DEP55 - Artículos de revista
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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/64879

    Título
    Vector bioimpedance detects situations of malnutrition not identified by the indicators commonly used in geriatric nutritional assessment: A pilot study
    Autor
    Redondo del Río, María PazAutoridad UVA
    Camina Martín, María AliciaAutoridad UVA
    Moya Gago, Laura
    Cruz Marcos, Sandra de laAutoridad UVA
    Malafarina, Vincenzo
    Mateo Silleras, Beatriz deAutoridad UVA Orcid
    Año del Documento
    2016
    Editorial
    Elselvier
    Descripción
    Producción Científica
    Documento Fuente
    Experimental Gerontology, Diciembre 2016,Vol. 85, p. 108-111
    Abstract
    Objective: To compare body composition as assessed by conventional and vector bioelectrical impedance analysis according to the nutritional cataloging using body mass index (BMI) in a group of institutionalized elderly. Methods: Cross-sectional study in 38 institutionalized elderly. Body composition was estimated by bioimpedance analysis. Differences in body composition were analyzed using t-test and ANOVA, or their corresponding nonparametric tests. Statistical significance was set at p < 0.05. Results: Based on BMI, the sample showed overweight (average BMI: 26.4 kg/m2), and women had higher BMI values than men (28.9 vs. 25.5 kg/m2). Based on waist circumference, abdominal obesity was detected in 60.7% of men and 80% of women. Conventional bioimpedance analysis (BIA) yielded high fat mass values and slightly depleted skeletal muscle mass, compatible with sarcopenic obesity. All individual impedance vectors were located on the right of the major axis of the tolerance ellipses, reflecting body-cell-mass depletion in all subjects, regardless of BMI cataloging. Conclusions: Bioelectrical impedance vector analysis (BIVA) detects body compartment changes in institutionalized elderly that are not identified by the most widely used clinical practice nutritional indicators, such as BMI, waist circumference, and BIA-estimated body composition.
    ISSN
    0531-5565
    Revisión por pares
    SI
    DOI
    10.1016/j.exger.2016.10.002
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S0531556516304193?via%3Dihub
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/64879
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP55 - Artículos de revista [206]
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