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621 results for “frailty”

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zenodo48/100

Implementation of Frailty Care Bundle (FCB) for older people in acute care settings

<p>A study aimed to implement a Frailty Care Bundle (FCB) for orthopaedic trauma patients to increase mobilisation, nutrition and cognitive well-being in order to reduce hospital associated decline risk.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

GSTRIDE: A database of frailty and functional assessments with inertial gait data from elderly fallers and non-fallers populations

<p>The GSTRIDE database contains relevant metrics and motion data of elder people for the assessment of their health status. The data correspond to 163 patients, 45 men and 118 women, between 70 and 98 years old with an average Body Mass Index (BMI) of 26.1&plusmn;5.0 kg/m<sup>2</sup>&nbsp;and a cognitive deterioration status index between 1 and 7, according to the Global Deterioration Scale (GDS) scale. In this way, we ensure variability among the volunteers in terms of socio-demographic and anatomic parameters and their functional and cognitive capacities. The database files are stored in CSV format to ease their usability with common data processing software.</p> <p>We provide socio-demographic data, anatomical, functional and cognitive variables, and the outcome measurements from test commonly performed for the evaluation of elder people. The evaluation tests carried out to obtain these data are the Gait Speed Test (4-metre), the Hand Grip Strength, the Short Physical Performance Battery (SPPB), the Timed up and go (TUG) and the Short Falls Efficacy Scale International (FES-I).&nbsp;We also include the outcomes of the GDS questionnaire, the Frailty assessment and the information about falls during the last year prior to the tests.</p> <p>These data are complemented with the gait parameters of a walking test recorded by an Inertial Measurement Unit (IMU) placed on the foot. Inertial data from foot-mounted IMUs (acceleration (m/s2), angular velocity (rad/s) and timestamps (s)) are included in the database in&nbsp;.csv&nbsp;files for each participant.</p> <p>The current version includes a new gait analysis processing conducted following the methodology described in [1].</p> <p>The complete gait analysis is included for each participant and trial in&nbsp;.csv&nbsp;files, including the gait parameters estimated for all individual steps and the gait segmentation events. The gait parameters included are: cycle duration (CD) (s), cadence (steps/min), stride length (SL) (m), path length 3D (%SL), path length 2D (%SL), stride velocity (m/s), percentage of swing (%CD), percentage of stance (%CD), percentage of stance subphases (loading, foot-flat, and pushing) (%stance), heel strike pitch (degrees), toe-off pitch (degrees), peak angle velocity (degrees/s), turning angle (degrees), and heel range of motion (ROM) (degrees).&nbsp;</p> <p>GSTRIDE is specially focused on, but not limited to, the study of faller and non-faller elder people. The main aim of this dataset is the availability of study these different populations. By including the results of the health evaluation tests and questionnaires and the inertial and spatio-temporal data, researchers can analyze different techniques for the identification of fallers. Moreover, this database allows the analysis of cognitive deterioration and frailty parameters of patients by the research community.</p> <p>[1] L. Ruiz-Ruiz, J. J. Garc&iacute;a-Dom&iacute;nguez and A. R. Jim&eacute;nez, "A Novel Foot-Forward Segmentation Algorithm for Improving IMU-Based Gait Analysis," in&nbsp;<em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 73, pp. 1-13, 2024, Art no. 4010513, doi: 10.1109/TIM.2024.3449951.</p>

opencc-by-4.0Dec 2021View details →
dryad36/100

Data for: Evaluating the impact of physical frailty during ageing in wild chimpanzees (Pan troglodytes schweinfurthii)

<p>While declining physical performance is an expected consequence of aging, human clinical research has placed increasing emphasis on physical frailty as a predictor of death and disability in the elderly. We examined non-invasive measures approximating frailty in a richly-sampled longitudinal dataset on wild chimpanzees. Using urinary creatinine to assess lean body mass, we demonstrated moderate but significant declines in physical condition with age in both sexes. While older chimpanzees spent less of their day in the trees and feeding, they did not alter activity budgets with respect to travel or resting. There was little evidence that declining lean body mass had negative consequences independent of age. Old chimpanzees with poor lean body mass rested more often but did not otherwise differ in activity. Males, but not females, in poor condition were more likely to exhibit respiratory illness. Poor muscle mass was associated acutely with death in males, but it did not predict future mortality in either sex. While there may be some reasons to suspect biological differences in the susceptibility to frailty in chimpanzees versus humans, our data are consistent with recent reports from humans that lean, physically active individuals can successfully combat frailty.</p>

opencc-zeroJan 2020View details →
zenodo36/100

Nutrition UP 65 study: The association between 25(OH)D levels, frailty status and obesity indices in older adults database

<p>This study database derives from Nutrition UP 65 study main database.&nbsp;The association between 25(OH)D levels, frailty status and obesity indices in older adults was evaluated. This database was prepared according to the recommendations of the following article: &quot;Hrynaszkiewicz&nbsp;Iain,&nbsp;Norton&nbsp;Melissa L,&nbsp;VickersAndrew J,&nbsp;Altman&nbsp;Douglas G.&nbsp;Preparing raw clinical data for publication: guidance for journal editors, authors, and peer reviewers&nbsp;BMJ&nbsp;2010;&nbsp;340:c181&quot;.</p>

opencc-by-4.0Jul 2018View details →
zenodo36/100

Verification of the effects of a YouTube-based home-based (self-managed intervention) training system developed for frailty prevention―A pilot study ―

<p><em>Background and Objectives</em>: Resistance training is considered the most effective intervention for increasing older people&rsquo;s muscle mass and strength. We devised a self-administered training system (squat + balance training, sukubara&reg;) that incorporates a new low-load exercise. This study hypothesizes that introducing sukubara&reg; affects skeletal muscle mass and physical function positively, and we first conducted a preliminary verification in healthy non-elderly participants.</p> <p><em>Materials and Methods</em>: This study&rsquo;s participants were non-elderly healthy hospital personnel. Applicants were randomly assigned to two groups, a resistance training group that performed an exercise program (sukubara&reg;) and a control group that did not, and they received a 12-week intervention. This study&rsquo;s primary endpoint was change in skeletal muscle mass; the secondary endpoints were knee extension strength and one-leg standing time with eyes closed.</p> <p><em>Results</em>:&nbsp; An analysis of Tthe 18 participants (10 in the resistance training group and 8 in the control group), who were 18 analyzed this study&rsquo;s results was performed. The results of changes in variables between both groups during the intervention period were as follows: skeletal muscle mass, knee extension strength, and one-leg standing time were significantly improved or tended to be significantly higher in a resistance training group than in a control group. <em>Conclusions</em>: A self-administered training system (sukubara&reg;) incorporating low-load exercise resulted in muscle hypertrophy and improvement in physical function.</p>

opencc-by-4.0Nov 2022View details →
ClinicalTrials.gov36/100

The PREPARE Trial: Exercise Before Surgery to Improve Recovery in Older People With Frailty

ClinicalTrials.gov study NCT04221295. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Swiss Frailty Network and Repository

ClinicalTrials.gov study NCT04516642. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Clinical Characteristics, Frailty, and Prognostic Predictors in Patients Aged 75 and Older With Acute Coronary Syndrome

ClinicalTrials.gov study NCT07366684. IPD Sharing: YES. Countries: 1. Publications: 5.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Comparison of the Effect of Two Interventions on Liver Frailty Index in Pre-frail and Frail Cirrhotic Patients Enlisted for Liver Transplantation

ClinicalTrials.gov study NCT06149026. IPD Sharing: YES. Countries: 1. Publications: 19.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Effects of Otago-based Multicomponent Exercise on Sarcopenia in Pre-Frailty Older Adults in Nursing Homes: A Randomized Controlled Trial

ClinicalTrials.gov study NCT06882720. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Multidisciplinary Prehabilitation to Improve Frailty and Functional Capacity in High-risk Elective Surgical Patients: a Retrospective Pilot Study

ClinicalTrials.gov study NCT05668221. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Preventing Frailty in Hospital Through Mobilizing

ClinicalTrials.gov study NCT06802289. IPD Sharing: NO. Countries: 1. Publications: 7.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Debunking the Frailty-sarcopenIa-ADT Axis in mEtastatic Prostate canceR With multiComponent Exercise: The FIERCE Trial

ClinicalTrials.gov study NCT06040125. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Association Between Geriatric Frailty and Medication Related Problems in the Emergency Department to Help Clinical Pharmacists Prioritise Patients

ClinicalTrials.gov study NCT07282379. IPD Sharing: YES. Countries: 1. Publications: 6.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

The CohorFES: a Prospective Study of Frailty and Dependence

ClinicalTrials.gov study NCT06965972. IPD Sharing: YES. Countries: 1. Publications: 15.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Predicting of Frailty

ClinicalTrials.gov study NCT07332052. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

A Study to Assess Frailty of Subjects During ZOSTER-006 and ZOSTER-022

ClinicalTrials.gov study NCT03563183. IPD Sharing: Not stated. Countries: 18. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

FrAilty Care and wEll-funcTion in Community Dwelling Older Adults

ClinicalTrials.gov study NCT03707145. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Antidepressant Response in the Treatment of Depressive Symptoms and Frailty Characteristics in Older Adults

ClinicalTrials.gov study NCT01973283. IPD Sharing: Not stated. Countries: 1. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

SOLAR- Frailty Screening and Multidisciplinary Assessment of Older Adults in the Emergency Department

ClinicalTrials.gov study NCT04629690. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →

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DANDI Archive for NWB datasets

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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Last verified 2026-04-29Open record