Activities of Daily Living

Diabetic peripheral neuropathy (DPN) is a common complication of prolonged hyperglycemia that damages peripheral nerves, leading to impaired sensory function, increased fall risk, and reduced quality of life. Balance training has shown promising effects in improving postural stability and reducing fall risk in individuals with DPN by engaging visual, vestibular, and proprioceptive systems and promoting central nervous system adaptation. This randomized controlled trial aims to compare the effects of Reactive Balance Training (RBT) and Task-Oriented Training (TOT) on postural stability in patients with DPN. The study will be a single-blinded, two-group randomized controlled trial conducted over one year at Foundation University College of Physical Therapy. A sample of 36 participants will be recruited through convenience sampling and randomly allocated into two groups using the coin-toss method. Ethical approval will be obtained from the FUSH ERC, and written informed consent will be obtained after explaining the study procedures, risks, and benefits. Postural stability will be assessed using the Posture Assessment Checklist, Mini-BESTest, Functional Reach Test (FRT), and Timed Up and Go (TUG). Group A will receive RBT, while Group B will receive TOT. Each session will last 30-40 minutes, including a 5-7-minute warm-up, 20-30 minutes of group-specific intervention, and a 5-minute cool-down. Participants will receive 60-second rest intervals after every three sets or 8-10 repetitions. The intervention will continue for six weeks, with three sessions per week, totaling 18 sessions. Assessments will be conducted at baseline, at week 3, and post-intervention at week 6 using the same outcome measures.

This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy. Longevity Metrics collects a battery of clinical tests on each participant, in whole or in part, and follows every participant for life. The sit-to-rise test and the timed walk are scored by hand today, from a person's count. A model scores the same test from video instead. It also measures what no one can count by eye - speed, asymmetry, steadiness - so one capture yields both the original score and additional measurements, intended to enrich the model and strengthen what it predicts. Every test in a participant's record measures the same body, so the tests are correlated: a test that was performed carries information about one that was not. A model trained across the library learns those relationships and estimates a missing result from the results that are present. Each estimate is checked against records where that part was actually measured, and over decades against death and disease through linkage to the 100-Year Human Aging Study (NCT07563777). The hypothesis is that the full battery can eventually be predicted across modalities with high accuracy using a few short video clips, replacing most in-person screening. That would let preventive screening reach people and places a physical laboratory cannot. How far the input can be reduced is the question this study exists to answer. Every model is a physician-reviewed clinical decision aid until it is cleared by the FDA.

The Health Ahead Comparative Effectiveness Study is a pragmatic, parallel-arm interventional platform that systematically compares successive changes to preventive health screening on the path toward a fully automated screening system deployable in any environment, including the most isolated and resource-limited communities. Each change is isolated as a single variable against current practice, and every comparison is evaluated with a common set of engagement, behavior-change, experience, cost, and longitudinal outcome measures, so results accumulate on a consistent yardstick across the life of the platform. The first comparison evaluates AI-assisted versus human-only interpretation ("reads") of screening data. Subsequent pre-planned comparisons, added by protocol amendment, evaluate static versus interactive personalized report delivery; mobile community versus fixed laboratory screening; and a hybrid medical-droid-plus-human delivery model versus human-only screening.

The Human Observatory Study is a prospective observational and ecological surveillance study building a continuously-updating world model for human health, disease, and death at the individual and population level. Individual multi-system clinical data from enrolled participants are linked to a continuously-ingested ecological data infrastructure spanning environmental exposures, social determinants, genealogical and family history records, mortality data, and population health databases at geographic resolutions from home address to global scale and beyond. The resulting model generates individual screening recommendations informed by population-level causal estimates, and population-level causal forecasts anchored by present-timepoint individual clinical biology. This linkage creates a feedback architecture designed to improve both simultaneously.

The 100-Year Human Aging Study is a prospective, pragmatic, observational trial enrolling participants across fixed clinical sites, mobile clinical sites, and an online participation pathway (current and future) to undergo comprehensive multi-system health screening and longitudinal follow-up until death. Participants are followed to determine whether measurements taken at enrollment and repeated across the lifespan - individually and in combination - predict all-cause mortality, cause-specific mortality, incident serious disease, and functional disability. The study is designed to generate the surrogate endpoint validation data that longevity medicine currently lacks.

The goal of this clinical trial is to evaluate whether a smart wearable wristband-based care system can improve the quality of care and physical activity levels among older adults with disabilities receiving home-based care. The study population includes older adults with disabilities, their family caregivers, and multidisciplinary rehabilitation service providers. The main questions it aims to answer are: 1. Whether the use of a smart wearable wristband can improve functional performance, as measured by Activities of Daily Living (ADLs), Instrumental Activities of Daily Living (IADLs), and Integrated Care for Older People (ICOPE) assessments? 2. Whether the intervention can increase physical activity levels and improve overall care quality, while reducing caregiver burden and enhancing satisfaction? Participants will: 1. Wear a smart wearable wristband continuously for 8 weeks to record physical activity data, including step count, activity level, heart rate, and fatigue index. 2. Undergo assessments at baseline and after the 8-week intervention, including Activities of Daily Living (ADLs), Instrumental Activities of Daily Living (IADLs), Integrated Care for Older People (ICOPE), and the Chinese Version of the Physical Activity Scale for the Elderly (PASE-C). 3. Provide data on caregiver stress, satisfaction, and service utilization for the analysis of care quality.

This study will examine whether a reablement approach can help people receiving community-based long-term care maintain or improve their independence, daily functioning, and quality of life. Approximately 300 adults from eight long-term care facilities across Taiwan will participate. The 12-week reablement program includes group and individualized activities designed to support mobility, cognitive function, daily activities, and social participation. Participants' physical and cognitive function, daily living abilities, emotional well-being, quality of life, and personal goals will be assessed before and after the program. The study will also include observations and interviews with care providers, participants, and family members to understand their experiences with the program and identify factors that support successful implementation. The findings are expected to help develop a practical reablement model for community-based long-term care in Taiwan and provide guidance for improving care quality, independence, and healthy aging.

Duke University will serve as the clinical research site for the Phase II RCT of the VALOR system, which enables telehealth delivery of evidence-based upper extremity (UE) stroke therapy in a patient's home using immersive VR headset technology for guided practice of activities of daily living (ADLs) and instrumental ADLs (IADLs). The study compares VALOR Home Exercise Program (HEP) to Usual Care Treatment (UCT) in adults with stroke-related UE impairment.

This study is a randomized, controlled experimental trial with a pretest-posttest design, conducted to evaluate the effects of Pecha Kucha-based education on self-efficacy, symptom level, and activities of daily living in individuals diagnosed with chronic obstructive pulmonary disease (COPD) receiving noninvasive mechanical ventilation support. The study will include two groups, and intergroup differences will be evaluated: 1. Control group 2. Intervention group Study Hypotheses H1: Pecha Kucha-based education on noninvasive mechanical ventilation (NIMV) support provided to individuals with chronic obstructive pulmonary disease (COPD) increases patients' self-efficacy levels. H2: Pecha Kucha-based education on noninvasive mechanical ventilation (NIMV) support provided to individuals with chronic obstructive pulmonary disease (COPD) reduces patients' symptom levels. H3: Pecha Kucha-based education on noninvasive mechanical ventilation (NIMV) support provided to individuals with chronic obstructive pulmonary disease (COPD) improves patients' activities of daily living.

The goal of this clinical trial is to compare the effectiveness of online self-management program and on-site task-related training for people with early stage Parkinson's disease. people with early stage of Parkinson's disease (age range: 45-70 years) will be randomly assigned into the following three groups: control group, online self-management program group and on-site task-related training group.The control group will receive no treatment during the experimental period. For the other two groups, participants will receive the intervention twice a week, one hour per session and 12 sessions in total. The main questions it aims to answer are: 1. the potential impact of motor and non-motor symptoms on activity participation and quality of life for people with early stage of Parkinson's disease (PD). 2. compare and examine the the effectiveness of online self-management program and on-site task-related training for people with early stage Parkinson's disease on activity participation and quality of life.

The goal of this mixed method study is to learn about how a dynamic arm support device (DAS) helps people with everyday activities. The study focuses on people with neuro(-muscular) conditions, age 16 and older. The research questions that are formulated, are: * How does a person experience their daily activities, with and without a DAS? * What are the contextual (external and personal) factors that influence the use of a DAS? Participants will take part in three testing sessions. In each session, they must complete a few questionnaires and participate in an interview. The first time, without DAS. In the second and third session, they will be using their DAS (resp. 3 to 4 weeks and 3 months). The data collection will be executed by phone, digital questionnaires and/or paper.