Search

Purpose: To examine the associations of accelerometer-derived steps volume and intensity with hospitalizations and all-cause mortality in older adults. Methods: This prospective cohort study involved 768 community-dwelling Spanish older adults (78.8 § 4.9 years, mean § SD; 53.9% females) from the Toledo Study for Healthy Aging (2012 2017). The number of steps per day and step cadence (steps/min) were derived from a hip-mounted accelerometer worn for at least 4 days at baseline. Participants were followed-up over a mean period of 3.1 years for hospitalization and 5.7 years for all-cause mortality. Cox proportional hazards regression models were used to estimate the individual and joint associations between daily steps and stepping intensity with hospitalizations and all-cause mortality. Results: Included participants walked 5835 § 3445 steps/day (mean § SD) with an intensity of 7.3 § 4.1 steps/min. After adjusting for age, sex, body mass index (BMI), education, income, marital status and comorbidities, higher step count (hazard ratio (HR) = 0.95, 95% confidence inter vals (95%CI: 0.90 1.00, and HR = 0.87, 95%CI: 0.81 0.95 per additional 1000 steps) and higher step intensity (HR = 0.95, 95%CI: 0.91 0.99, and HR = 0.89, 95%CI: 0.84 0.95 per each additional step/min) were associated with fewer hospitalizations and all-cause mortality risk, respectively. Compared to the group having low step volume and intensity, individuals in the group having high step volume and intensity had a lower risk of hospitalization (HR = 0.72, 95%CI: 0.52 0.98) and all-cause mortality (HR = 0.60, 95%CI: 0.37 0.98). Conclusion: Among older adults, both high step volume and step intensity were significantly associated with lower hospitalization and all-cause mortality risk. Increasing step volume and intensity may benefit older people.

Objective To evaluate the role of functional status along with other used clinical factors on the occurrence of death in patients hospitalized with COVID-19. Design Prospective Cohort study Setting Public University Hospital (Madrid) Participants and methods 375 consecutive patients with COVID-19 infection, admitted to a Public University Hospital (Madrid) between March 1 and March 31, 2020, were included in the Prospective Cohort study. Death was the main outcome. The main variable was disability in Activities of Daily Living (ADL) assessed with the Barthel index. Covariates included sex, age, severity index (Quick Sequential Organ Failure Assessment, qSOFA), polypharmacy (>5 drugs in the month before admission), and comorbidity (≥3 diseases). Multivariable logistic regression was used to identify risk factors for adverse outcomes. Estimated model coefficients served to calculate the expected probability of death for a selected combination of five variables: Barthel, sex, age, comorbidities and severity index (qSOFA). Results Mean age was 66 years (SD 15.33), 207 (55%) males. 74 patients died (19.8%). Mortality was associated to low Barthel index (OR per 5-point decrease 1.11; 95CI 1.03-1.20), male sex (0.23, 0.11-0.47), age (1.07, 1.03-1.10) and comorbidity (2.15; 1.08-4.30) but not to qSOFA (1.29, 0.87-1.93) or polypharmacy (1.54; 0.77-3.08). Calculated mortality risk ranged from 0 to 0.78. Conclusions and implications Functional status predicts death in hospitalized COVID-19 patients. Combination of five variables allows to predict individual probability of death. These findings provide useful information for the decision-making process and management of patients., Brief summary Functional status, assessed through the Barthel index, is an independent risk factor for death in patients hospitalized by COVID-19.

Introduction Frailty is a strong predictor of adverse health events, but its impact on cognitive function is poorly understood. Aim To assess cognitive performance in frailty and to identify the frailty stage where cognitive impairment begins. Methods Data were taken from 2044 people aged ≥65 years without cognitive impairment selected from the Toledo Study for Healthy Aging, a population-based cohort of older adults. Frailty status was assessed by 3 different scales: Frailty Phenotype (FP), Frailty Trait Scale (FTS), and Frailty Index (FI). Neuropsychological assessments of different cognitive domains included the Mini-Mental State Examination, Short and Long-Term Memory Recalling Test, the Boston Naming Test, Verbal Fluency Test, Digit Span Forward, Go/No-go Test, Luria Orders Test, Clock Drawing Test, and Serial Word Learning Test. The relationships between the score of the scales and frailty status (robust, prefrail, and frail for FP and quartiles for FTS and FI) were analyzed using multivariate linear regression models including age, sex, and educative level as possible confounders. Results Participants classified as the worst degree of frailty (frail in FP and fourth quartile of FTS and FI) presented more cognitive domains affected and to a higher extent than moderate frail (prefrail and second quartile and third quartile of FTS and FI) and robust (and first quartile of FTS and FI) participants. Conclusions Cognitive performance progressively declined across the frailty state, regardless of the instrument used to assess frailty. In prefrail participants, cognitive impairment may be an early marker of frailty-dependent cerebral involvement and could be already subject to interventions aimed at reducing the transition to frailty.

Objectives To assess the role of frailty in predicting death and incident disability in older adults with type 2 diabetes mellitus. Design Prospective cohort study. Setting Community dwelling. Participants A total of 1825 individuals ≥65 years old recruited between June 2006 and September 2009 were followed for a median of 5.5 years for mortality and 4.98 years for incident functional disability in activities of daily living. Self-reported diabetes, comorbidities (Charlson index), cardio- and cerebrovascular diseases, drug treatments, Frailty Trait Score (FTS) and Frailty Index (FI), activities of daily living, heart rate, and blood pressure among others were collected at baseline. Main outcome measures Survival analysis (Kaplan-Meier), adjusted Cox proportional-hazards models, and binary logistic regression were used to assess the relationship between frailty, comorbidity, and vascular diseases and time to death and incident disability. Results A total of 363 people had diabetes. Among them, 83 deaths and 84 cases of incident disability occurred during follow-up. People with diabetes died more frequently than those without diabetes [hazard ratio = 1.36, 95% confidence interval (CI) 1.06–1.75; P = .002], showing a poorer functional status at baseline. Survival analysis showed a relationship between frailty quartiles and the risk of death. In the adjusted Cox-models, only age and frailty indices, but not comorbidity or cardio/cerebrovascular diseases, were associated with the risk of death and incident disability after adjusting for measures of frailty. The hazard ratio for death was 1.51 (95% CI 1.28–1.77) and 1.83 (95% CI 1.49–2·26) for each 10 points increase in the FTS and FI; odds ratio for incident disability was 1·64 (95% CI 1.22–2.20) and 1·35 (95% CI 1.09–1.67) when using FI and FTS, respectively. Conclusions Frailty is an important risk factor for death and disability in older adults with diabetes, supporting the recent recommendations that frailty status should be routinely assessed in these patients.

Objectives To develop short versions of the Frailty Trait Scale (FTS) for use in clinical settings. Design Prospective population-based cohort study. Setting and Participants Data from 1634 participants from the Toledo Study for Healthy Aging. Methods The 12-item Frailty Trait Scale (FTS) reduction was performed based on an area under the curve (AUC) analysis adjusted by age, sex, and comorbidity. Items that maximized prognostic information for adverse events were selected. Each item score was done at the same time as the reduction, identifying the score that maximized the predictive ability for adverse events. For each short version of the FTS, cutoffs that optimized the prognostic information (sensitivity and specificity) were chosen, and their predictive value was later compared with a surrogate gold standard for frailty (the Fried Phenotype). Results Two short forms, the 5-item (FTS5) (range 0-50) and 3-item (FTS3) (range 0-30), were identified, both with AUCs for health adverse events similar to the 12-item FTS. The identified cutoffs were >25 for the FTS5 scale and >15 for the FTS3. The frailty prevalence with these cutoffs was 24% and 20% for the FTS5 and FTS3, respectively, whereas frailty according to Fried Phenotype (FP) reached 8% and prefrailty reached 41%. In general, the FTS5 showed better prognostic performance than the FP, especially with prefrail individuals, in whom the FTS5 form identified 65% of participants with an almost basal risk and 35% with a very high risk for mortality (OR: 4) and frailty (OR: 6.6-8.7), a high risk for hospitalization (OR: 1.9-2.1), and a moderate risk for disability (OR: 1.7) who could be considered frail. The FTS3 form had worse performance than the FTS5, showing 31% of false negatives between frail participants identified by FP with a high risk of adverse events. Conclusions and Implications The FTS5 is a short scale that is easy to administer and has a similar performance to the FTS, and it can be used in clinical settings for frailty diagnosis and evolution.

a b s t r a c t Objectives: The aims of this study were to identify if the associations of physical activity (PA) and muscle strength may vary throughout the ageing process; to study the differences among genders in the rela- tionships between PA and strength in elderly people and to test whether these differences are explained by the hormonal, nutritional and inflammatory status. Study design: A total of 1741 people ≥65 years of age participated in this cross-sectional study. Main outcome measures: Upper- and lower-limbs maximal voluntary isometric strength was obtained using standardized techniques and equipment. PA was recorded by a validated questionnaire. The associations of PA with strength were assessed using generalized linear regression models with a Gamma- distributed dependent variable. Results: A significant gender by PA interaction was found for all strength-related variables (all P < 0.01). Moreover, when sexual hormones, albumin or C-Reactive protein were taken into account in the model, the results did not significantly change. In women, PA was positively associated with upper and lower- body strength; however in men, PA was only associated with grip and knee strength (both P < 0.01). Higher strength values were associated with higher levels of PA, especially in women. However, this tendency had a different pattern across the age range, showing a stronger association in the 'young' elderly compared with the 'old' elderly. Conclusion: Higher levels of PA are related to greater muscle strength, especially in women and those who were younger. © 2014 Elsevier Ireland Ltd. All rights reserved.