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Individual and cumulative association of commonly used biomarkers on frailty: a cross-sectional analysis of the Mexican Health and Aging Study

dc.rights.licensehttp://creativecommons.org/licenses/by/4.0es_MX
dc.creatorMARIO ULISES PEREZ ZEPEDAes_MX
dc.creatorMaría del Carmen García Peñaes_MX
dc.creatorMARIA FERNANDA CARRILLO VEGAes_MX
dc.date2019
dc.date.accessioned2021-08-24T18:37:00Z
dc.date.available2021-08-24T18:37:00Z
dc.identifier.urihttp://repositorio.inger.gob.mx/jspui/handle/20.500.12100/17229
dc.descriptionFrailty has been recognized as a common condition in older adults, however, there is scarce information on the association between frailty and commonly used biomarkers. The aim of this study was to assess the individual and cumulative association of biomarkers with frailty status. This is a cross-sectional analysis of the 2012 wave of the Mexican Health and Aging Study. A sub-sample of 60-year or older adults with anthropometric measurements was analyzed. Frailty was defined with a 31-item frailty index and those considered frail had a score ≥ 0.21. Biomarkers were further categorized as normal/abnormal and tested both one by one and grouped (according to their usual cutoff values). Adjusted logistic models were performed. A total of 1128 older adults were analyzed and their mean age was 69.45 years and 51.24% of them were women. 26.7% (n = 301) were categorized as frail. Individual biomarkers associated with frailty after adjusting for confounding were: hemoglobin [odds ratio (OR) 1.67, 95% confidence interval (CI) 1.13–2.46, p = 0.009], glycated hemoglobin (OR 2.04, 95% CI 1.54–2.7, p < 0.001) and vitamin D (OR 1.53, 95% CI 1.13–2.07, p = 0.005). Those with ≥ 4 abnormal biomarkers had an independent association with frailty when compared to those without any abnormal biomarker (OR 2.64, 95% CI 1.3–5.25, p = 0.005). Aside from the individual associations of specific biomarkers, our findings show that an incremental association of abnormal biomarkers increases the probability of frailty, accounting for the multidimensional nature of frailty and the possible interplay between components of the system that potentiate to give rise to a negative condition such as frailty.es_MX
dc.formatAdobe PDFes_MX
dc.languageenges_MX
dc.publisherElsevieres_MX
dc.relationhttps://link.springer.com/article/10.1007%2Fs40520-019-01127-4es_MX
dc.relation.requiresSies_MX
dc.rightsAcceso Abiertoes_MX
dc.sourceAging Clinical and Experimental Research (1720-8319) Vol. 31 (2019)es_MX
dc.subjectMEDICINA Y CIENCIAS DE LA SALUDes_MX
dc.subjectCiencias médicases_MX
dc.subjectCiencias clínicases_MX
dc.subjectGeriatríaes_MX
dc.subjectCondiciones patológicas, signos y síntomases_MX
dc.subjectProcesos patológicoses_MX
dc.subjectFragilidades_MX
dc.subjectPersonas mayoreses_MX
dc.subjectEnvejecimientoes_MX
dc.subjectEpidemiología geriátricaes_MX
dc.subjectGeriatricses_MX
dc.subjectPathological conditions, signs and symptomses_MX
dc.subjectPathologic processeses_MX
dc.subjectFrailtyes_MX
dc.subjectOlder adultses_MX
dc.subjectAginges_MX
dc.subjectGeriatric epidemiologyes_MX
dc.titleIndividual and cumulative association of commonly used biomarkers on frailty: a cross-sectional analysis of the Mexican Health and Aging Studyes_MX
dc.typeArtículoes_MX
dc.audienceResearcherses_MX
dc.creator.idPEZM760111HDFRPR07es_MX
dc.creator.idGAPC560716MDFRXR00es_MX
dc.creator.idCAVF850114MDFRGR08es_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX


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