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dc.contributor.authorMaseda, Ana
dc.contributor.authorDiego-Díez, Clara
dc.contributor.authorLorenzo-López, Laura
dc.contributor.authorLópez-López, Rocío
dc.contributor.authorRegueiro-Folgueira, Laura
dc.contributor.authorMillán-Calenti, José Carlos
dc.date.accessioned2018-05-10T11:46:22Z
dc.date.available2018-05-10T11:46:22Z
dc.date.issued2017-04
dc.identifier.citationMaseda A, Diego-Díez C, Lorenzo-López L, López-López R, Regueiro-Folgueira L, Millán-Calenti JC. Quality of life, functional impairment and social factors as determinants of nutritional status in older adults: the VERISAÚDE study. Clin Nutr. 2018;37(3):993-999es_ES
dc.identifier.issn0261-5614
dc.identifier.issn1532-1983
dc.identifier.urihttp://hdl.handle.net/2183/20697
dc.description.abstract[Abstract] Background & aims. Malnutrition is an important and growing health problem in elderly people. The main aim of this research was to examine the relationship between socio-demographic factors, social resources, functional status and quality of life and malnutrition or risk of malnutrition in elders. Methods. A cross-sectional study was conducted with a representative sample of 749 community-dwelling elders aged 65 years and over. A comprehensive assessment was carried out, including the collection of socio-demographic factors, social resources by the Older Americans Resources and Services Scale, nutritional status by the Mini-Nutritional Assessment-Short Form, functional status by the Lawton's instrumental activities of daily living scale and quality of life by the World Health Organizations's Quality of Life measure-brief version (WHOQOL-BREF). Results. Being female, the presence of totally impaired social resources and low scores in the physical health domain of the WHOQOL-BREF were the strongest determinants of malnutrition/risk of malnutrition. This model predicted 85.7% of the cases correctly. In men, the best determinants were being unmarried and having poor satisfaction with their health, with a percentage of 89.8% of cases of poor nutritional status correctly predicted. The best determinant for women was also the physical health domain of the WHOQOL-BREF, reaching a correct prediction of 83.0% of malnutrition/risk of it. Conclusions. Nutritional status assessment and potential determinant factors should be incorporated as part of comprehensive assessments for early identification of malnutrition and to determine appropriate intervention strategies to address this public health problem in older adults.es_ES
dc.description.sponsorshipXunta de Galicia; EM 2012/100es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.urihttps://doi.org/10.1016/j.clnu.2017.04.009es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights© Elsevier and European Society for Clinical Nutrition and Metabolismes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectMalnourishmentes_ES
dc.subjectUndernutritiones_ES
dc.subjectMini nutritional assessmentes_ES
dc.subjectElderlyes_ES
dc.titleQuality of life, functional impairment and social factors as determinants of nutritional status in older adults: the VERISAÚDE studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleClinical Nutritiones_ES
UDC.volume37es_ES
UDC.issue3es_ES
UDC.startPage993es_ES
UDC.endPage999es_ES


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