Dataset Information

Network analysis of frailty and aging: Empirical data from the Mexican Health and Aging Study.

ABSTRACT: 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.

SUBMITTER: Garcia-Pena C

PROVIDER: S-EPMC7493650 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Network analysis of frailty and aging: Empirical data from the Mexican Health and Aging Study.

García-Peña Carmen C Ramírez-Aldana Ricardo R Parra-Rodriguez Lorena L Gomez-Verjan Juan Carlos JC Pérez-Zepeda Mario Ulises MU Gutiérrez-Robledo Luis Miguel LM

Experimental gerontology 20191025

<h4>Background</h4>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.<h4>Methods</h4>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 no ...[more]

PMID: 31665658

Similar Datasets

Project description:PurposeUnderstanding how the convergence between chronic and complex diseases-such as cancer-and emerging conditions of older adults-such as frailty-takes place would help in halting the path that leads to disability in this age group. The objective of this manuscript is to describe the association between a past medical history of cancer and frailty in Mexican older adults.MethodsThis is a nested in cohort case-control study of the Mexican Health and Aging Study. Frailty was categorized by developing a 55-item frailty index that was also used to define cases in two ways: incident frailty (incident >0.25 frailty index score) and worsening frailty (negative residuals from a regression between 2001 and 2012 frailty index scores). Exposition was defined as self-report of cancer between 2001 and 2012. Older adults with a cancer history were further divided into recently diagnosed (<10 years) and remotely diagnosed (>10 years from the initial diagnosis). Odds ratios were estimated by fitting a logistic regression adjusted for confounding variables.ResultsOut of a total of 8022 older adults with a mean age of 70.6 years, the prevalence of a past medical history of cancer was 3.6 % (n = 288). Among these participants, 45.1 % had been diagnosed with cancer more than 10 years previously. A higher risk of incident frailty compared to controls [odds ratio (OR) 1.53 (95 % confidence interval (CI) 1.04-2.26, p = 0.03); adjusted model OR 1.74 (95 % CI 1.15-2.61, p = 0.008)] was found in the group with a recent cancer diagnosis. Also, an inverse association between a remote cancer diagnosis and worsening frailty was found [OR = 0.56 (95 % CI 0.39-0.8), p = 0.002; adjusted model OR 0.61 (95 % CI 0.38-0.99, p = 0.046)].ConclusionsCancer is associated with a higher frailty index, with a potential relevant role of the time that has elapsed since the cancer diagnosis.Implications for cancer survivorsCancer survivors may be more likely to develop frailty or worsening of the health status at an older age. This relationship seems especially evident among individuals with a recent oncological diagnosis. Health professionals in charge of older adult care should be aware of this association in order to improve outcomes of older adults who survived cancer.

Project description:IntroductionMaintaining older adults' health and well-being can be achieved through the optimization of physical and mental health, while preserving independence, social participation, and quality of life. Cognitive change has been described as a normal process of aging and it involves domains such as processing speed, attention, memory, language, visuospatial abilities, and executive functioning, among others.ObjectiveTo describe cognitive changes in older adults with healthy aging.MethodsThis is a study that involved data from 14,893 and 14,154 individuals aged >60 years or older from the 2012 and 2015 waves, respectively, who participated in the Mexican Health and Aging Study (MHAS). Participants with healthy aging were identified and described in the MHAS-2012 wave and followed to 2015. Eight cognitive domains evaluated in the Cross-Cultural Cognitive Evaluation (CCCE,) as well as sociodemographic and health characteristics, were described. Criteria for healthy aging involved the following: CCCE ≥ -1.5 standard deviations above the mean on reference norms, independence on basic and instrumental activities of daily living, self-reported "life close to ideal," and preserved functional and social performance.ResultsFrom a total of n = 9,160 older adults from the MHAS-2012 wave, n = 1,080 (11.8%) had healthy aging. In the healthy aging group, the median age was 67 years (IQR: 63-73), 58.1% were female and the median for education was 6 (IQR: 3-8) years. The mean CCCE score was 57 (SD: 16.9) points. In the MHAS-2012 cross-sectional analysis, except for orientation, visuospatial abilities, and verbal fluency, all cognitive domain scores were lower with passing age. When comparing cognitive domain scores in the 225 older adults identified with healthy aging between the 2012 and 2015 MHAS waves, there were almost no observable differences.ConclusionIn the cross-sectional analysis, Mexican adults with healthy aging had lower scores in the verbal learning memory, visual scanning, numeracy, visual memory, and verbal recall domains', as well as lower global cognitive scores in the higher age groups. There were no cognitive changes in the 3 year follow-up, except for a lower gradient of scores in the verbal recall memory domain. Longer prospective studies are needed to characterize greater cognitive changes.

Project description:IntroductionVascular dementia is the second most common cause of dementia. Physical disability and cognitive impairment due to stroke are conditions that considerably affect quality of life. We estimated the prevalence and incidence of possible vascular dementia (PVD) in older adults using data from the Mexican Health and Aging Study (MHAS 2012 and 2015 waves).MethodsThe MHAS is a representative longitudinal cohort study of Mexican adults aged ≥50 years. Data from 14, 893 participants from the 2012 cohort and 14,154 from the 2015 cohort were analyzed to estimate the prevalence and incidence of PVD. Self-respondents with history of stroke were classified as PVD if scores in two or more cognitive domains in the Cross-Cultural Cognitive Examination were ≥ 1.5 standard deviations below the mean on reference norms and if limitations in ≥ 1 instrumental activities of daily living were present. For proxy respondents with history of stroke, we used a score ≥3.4 on the Informant Questionnaire on Cognitive Decline in the Elderly. Crude and standardized rates of prevalent and incident PVD were estimated.ResultsPrevalence of PVD was 0.6% (95% CI, 0.5-0.8) (0.5 with age and sex- standardization). Rates increased with age reaching 2.0% among those aged 80 and older and decreased with educational attainment. After 3.0 years of follow-up, 87 new cases of PVD represented an overall incident rate of 2.2 (95% CI, 1.7-2.6) per 1,000 person-years (2.0 with age and sex- standardization). Incidence also increased with advancing age reaching an overall rate of 9.4 (95% CI, 6.3-13.6) per 1,000 person-years for participants aged >80 years. Hypertension and depressive symptoms were strong predictors of incident PVD.ConclusionThese data provide new estimates of PVD prevalence and incidence in the Mexican population. We found that PVD incidence increased with age. Males aged 80 years or older showed a greater incidence rate when compared to females, which is comparable to previous estimates from other studies.

Dataset Information

Network analysis of frailty and aging: Empirical data from the Mexican Health and Aging Study.

Publications

Network analysis of frailty and aging: Empirical data from the Mexican Health and Aging Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets