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BACKGROUND: Frailty has been related to adverse outcomes, but evidence on its association with the use of health services is still scarce. OBJECTIVE: The purpose of this work was to determine the association of frailty with the use of health services in Mexican adults older than 60 years. MATERIAL AND METHODS: Analysis of the Mexican Health and Aging Study for the years 2015 (baseline) and 2018 (follow-up). Frailty was defined with the frailty index. The following outcomes were included: hospitalization, medical visits, major surgery, minor surgical procedures, and dental visits. Competing risk and count analyses (negative binomial regression) were performed. RESULTS: A total of 8,526 individuals were included, whose average age was 70.8%; 55.8% corresponded to the female gender. According to the results, hospitalization days and the number of minor procedures were associated with frailty. CONCLUSIONS: Frailty could be useful in the planning of health services for older adults. On the other hand, its evaluation would allow prioritizing care for those who are at higher risk of adverse outcomes.

ANTECEDENTES: La fragilidad se ha relacionado con desenlaces adversos, pero aún es escasa la evidencia sobre su asociación con el uso de servicios de salud. OBJETIVO: Evidenciar la asociación de la fragilidad con el uso de servicios de salud en adultos mexicanos mayores de 60 años. MATERIAL Y MÉTODOS: Análisis del Estudio Nacional sobre Salud y Envejecimiento en México para 2015 (basal) y 2018 (seguimiento). La fragilidad se definió con el índice de fragilidad. Fueron incluidos los siguientes desenlaces: hospitalización, visitas médicas, cirugía mayor, procedimientos quirúrgicos menores y visitas al dentista. Se utilizaron modelos de riesgos competitivos y de número de eventos (regresión negativa binomial). RESULTADOS: Se incluyeron 8526 individuos, cuya edad promedio fue de 70.8 %; 55.8 % correspondió al sexo femenino. De acuerdo con los resultados, los días de hospitalización y el número de procedimientos menores se asociaron a fragilidad. CONCLUSIONES: La fragilidad podría ser un parámetro útil en la planeación de los servicios de salud para los adultos mayores. Por otro lado, su evaluación permitiría priorizar la atención a quienes presenten mayor riesgo de desenlaces adversos.

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Resumen Antecedentes: La fragilidad se ha relacionado con desenlaces adversos, pero aún es escasa la evidencia sobre su asociación con el uso de servicios de salud. Objetivo: Evidenciar la asociación de la fragilidad con el uso de servicios de salud en adultos mexicanos mayores de 60 años. Material y métodos: Análisis del Estudio Nacional sobre Salud y Envejecimiento en México para 2015 (basal) y 2018 (seguimiento). La fragilidad se definió con el índice de fragilidad. Fueron incluidos los siguientes desenlaces: hospitalización, visitas médicas, cirugía mayor, procedimientos quirúrgicos menores y visitas al dentista. Se utilizaron modelos de riesgos competitivos y de número de eventos (regresión negativa binomial). Resultados: Se incluyeron 8526 individuos, cuya edad promedio fue de 70.8 %; 55.8 % correspondió al sexo femenino. De acuerdo con los resultados, los días de hospitalización y el número de procedimientos menores se asociaron a fragilidad. Conclusiones: La fragilidad podría ser un parámetro útil en la planeación de los servicios de salud para los adultos mayores. Por otro lado, su evaluación permitiría priorizar la atención a quienes presenten mayor riesgo de desenlaces adversos.

Abstract Background: Frailty has been related to adverse outcomes, but evidence on its association with the use of health services is still scarce. Objective: The purpose of this work was to determine the association of frailty with the use of health services in Mexican adults older than 60 years. Material and methods: Analysis of the Mexican Health and Aging Study for the years 2015 (baseline) and 2018 (follow-up). Frailty was defined with the frailty index. The following outcomes were included: hospitalization, medical visits, major surgery, minor surgical procedures, and dental visits. Competing risk and count analyses (negative binomial regression) were performed. Results: A total of 8,526 individuals were included, whose average age was 70.8%; 55.8% corresponded to the female gender. According to the results, hospitalization days and the number of minor procedures were associated with frailty. Conclusions: Frailty could be useful in the planning of health services for older adults. On the other hand, its evaluation would allow prioritizing care for those who are at higher risk of adverse outcomes.

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Background: Frailty has been recognized as a growing issue in older adults, with recent evidence showing that this condition heralds several health-related problems, including cognitive decline. The objective of this work is to determine if frailty is associated with cognitive decline among older adults from different countries. Methods: We analyzed the baseline the Study on Global Ageing and Adult Health (SAGE), that includes six countries (Ghana, South Africa, Mexico, China, Russia, and India). A cross-section analysis was used to assess how Frailty was related with the Clinical Frailty Scale decision tree, while cognitive decline was evaluated using standardized scores of tests used in SAGE. Results: A total of 30,674 participants aged 50 years or older were included. There was an association between frailty levels and cognitive performance. For example, women had an inverse relationship between frailty levels and cognitive scores, even when comparing robust category with frailty level 2 (RRR = 0.85; p = 0.41), although the relative risks decrease significantly at level 3 (RRR = 0.66; p = 0.03). When controlling for age, the relative risks between frailty levels 4 to 7 significantly decreased as cognitive performance increased (RRR = 0.46, RRR = 0.52, RRR = 0.44, RRR = 0.32; p < 0.001). Conclusion: Our results show an association between frailty levels measured in a novel way, and cognitive decline across different cultural settings.

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OBJECTIVE: To determine the association of frailty with out-of-pocket expenses (OOPEs) during the last year of life of Mexican older adults. METHODS: Cross-sectional secondary analysis of the Mexican Health and Aging Study (MHAS), a representative population-based cohort study. Health care expenses were estimated, and a probit model was used to estimate the probability that older adults had OOPE. A general linear model was applied to explain OOPE magnitudes. RESULTS: A total of 55.8% of individuals reported having OOPE with a mean of 3,261 USD. Average OOPE for hospitalization during the last year of life was 7,011.9 USD. Older adults taking their own medical decisions during the last year of life expended less than those who did not. CONCLUSION: No affiliation to health services, frailty, and health decision-making by others increased the probability of OOPE. The magnitude is determined by age, hospitalization, medical visits, affiliation, frailty, and health decision-making by others.

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The social vulnerability index (SVI) independently predicts mortality and others adverse outcomes across different populations. There is no evidence that the SVI can predict adverse outcomes in individuals living in countries with high social vulnerability such as Latin America. The aim of this study was to analyze the association of the SVI with mortality and disability in Mexican middle-aged and older adults. This is a longitudinal study with a follow-up of 47 months, the Mexican Health and Aging Study, including people over the age of 40 years. A SVI was calculated using 42 items stratified in three categories low (<0.36), medium (0.36-0.47), and high (>0.47) vulnerability. We examined the association of SVI with three-year mortality and incident disability. Cox and logistic regression models were fitted to test these associations. We included 14,217 participants (58.4% women) with a mean age of 63.9 years (±SD 10.1). The mean SVI was of 0.42 (±SD 0.12). Mortality rate at three years was 6% (n = 809) and incident disability was 13.2% (n = 1367). SVI was independently associated with mortality, with a HR of 1.4 (95% CI 1.1-1.8, p < 0.001) for the highest category of the SVI compared to the lowest. Regarding disability, the OR was 1.3 (95% CI 1.1-1.5, p = 0.026) when comparing the highest and the lowest levels of the SVI. The SVI was independently associated with mortality and disability. Our findings support previous evidence on the SVI and builds on how this association persists even in those individuals with underlying contextual social vulnerability.

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BACKGROUND: Frailty remains a challenge in the aging research area with a number of gaps in knowledge still to be filled. Frailty seems to behave as a network, and in silico evidence is available on this matter. Having in vivo evidence that frailty behaves as a complex network was the main purpose of our study. METHODS: Data from the Mexican Health and Aging Study (main data 2012, mortality 2015) was used. Frailty was operationalized with a 35-deficit frailty index (FI). Analyzed nodes were the deficits plus death. The edges, linking those nodes were obtained through structural learning, and an undirected graph associated with a discrete probabilistic graphical model (Markov network) was derived. Two algorithms, hill-climbing (hc) and Peter and Clark (PC), were used to derive the graph structure. Analyses were performed for the whole population and tertiles of the total FI score. RESULTS: From the total sample of 10,983 adults aged 50 or older, 43.8% were women, and the mean age was 64.6 years (SD = 9.3). The number of connections increased according to the tertile level of the FI score. As the FI score raised, groups of interconnected deficits increased and how the nodes are connected changed. CONCLUSIONS: Frailty phenomenon can be modeled using a Bayesian network. Using the full sample, the most central nodes were self-report of health (most connected node) and difficulty walking a block, and all deficits related to mobility were very interconnected. When frailty levels are considered, the most connected nodes differ, but are related with vitality, mainly at lower frailty levels. We derived that not all deficits are equally related since clusters of very related deficits and non-connected deficits were obtained, which might be considered in the construction of the FI score. Further research should aim to identify the nature of all observed interactions, which might allow the development of specific interventions to mitigate the consequences of frailty in older adults.

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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.

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