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

Frailty 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-se...

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Published inAging clinical and experimental research Vol. 31; no. 10; pp. 1429 - 1434
Main Authors Pérez-Zepeda, Mario Ulises, García-Peña, Carmen, Carrillo-Vega, María Fernanda
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.10.2019
Springer Nature B.V
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Abstract Frailty 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.
AbstractList Frailty 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 cut-off values). Adjusted logistic models were performed. From a total of 1,128 older adults their mean age was of 69.45 years and 51.24% 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 (OR 2.64, 95% CI 1.3–5.25, 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.
Frailty 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.
Frailty 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.
Frailty 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.
Author García-Peña, Carmen
Pérez-Zepeda, Mario Ulises
Carrillo-Vega, María Fernanda
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CitedBy_id crossref_primary_10_1016_j_mad_2019_03_007
crossref_primary_10_1530_EC_21_0282
crossref_primary_10_1097_CNQ_0000000000000428
crossref_primary_10_3390_nu14081537
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Snippet Frailty has been recognized as a common condition in older adults, however, there is scarce information on the association between frailty and commonly used...
Frailty has been recognized as a common condition in older adults, however there is scarce information on the association between frailty and commonly used...
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springer
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StartPage 1429
SubjectTerms Aged
Biomarkers
Biomarkers - blood
Cross-Sectional Studies
Female
Frail Elderly
Frailty
Frailty - diagnosis
Geriatrics/Gerontology
Hemoglobin
Humans
Logistic Models
Male
Medicine
Medicine & Public Health
Mexico
Odds Ratio
Older people
Original Article
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  providerName: Springer Nature
Title Individual and cumulative association of commonly used biomarkers on frailty: a cross-sectional analysis of the Mexican Health and Aging Study
URI https://link.springer.com/article/10.1007/s40520-019-01127-4
https://www.ncbi.nlm.nih.gov/pubmed/30706427
https://www.proquest.com/docview/2297840218
https://search.proquest.com/docview/2179515162
https://pubmed.ncbi.nlm.nih.gov/PMC6669109
Volume 31
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