Research Studies

UNC-Chapel Hill Division of Geriatric Medicine

17 studies match your search
Not currently enrolling

BandPass: Using Technology To Improve Strength

Our research team has created a Bluetooth enabled resistance exercise band (BandPass) and a corresponding workout 'app' to help older adults' strength train at home. The purpose of this project is to test the likelihood that BandPass can be used by older adults, to test whether older adults will keep using the device to exercise during the study, and to test if older adults have improved strength at the end of the study.

Age & Gender
  • 65 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
  • Injury/Injury Prevention
  • Movement
  • and 2 more
Open

BandPass: A Remote Monitoring System for Strength

Do you want to help in the design of a new device that can electronically measure and track your strength? We are testing a new system that uses an electronic resistance exercise band and an 'app' designed for older adults to improve strength and prevent weakness. We will provide $25 in gift card incentives.

Age & Gender
  • 65 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
  • Chronic Conditions
  • Physical Disability
  • and 3 more
Open

Geriatric Functional Assessment System: A Clinician's Perspective

The goal of this interview is to gather a clinician's perspective on the feasibility and potential integration of a new Geriatric Functional Assessment System (GFAS) into their clinical practice. This proposed system is a clinic-based wearable device designed to collect visual and motion data from older adults during their primary care visits that will help assess physical function. Its goal is to collect and process data, apply machine learning, and enable clinicians to identify early signs of functional decline.

Age & Gender
  • 22 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Chronic Conditions
  • Injury/Injury Prevention
  • Opinions and Perceptions
  • UNC or UNC Health employees
Visit Location
100% Remote (online, phone, text)
Not currently enrolling

Protein Pattern Study

In this study, we are looking at patterns in certain blood proteins. We want to understand how a protein supplement called β-hydroxy-methyl-butyrate (HMB) works in older adults who feel tired or have less muscle strength.

Age & Gender
  • 65 years ~ 85 years
  • Male, Female
Study Interest
  • Aging
  • Bones, Joints, Muscles
  • Eating, Nutrition, and Metabolism
Open

Telehealth Weight Loss Intervention

Are you interested in losing weight to improve your health? This is an innovative research study that aims to promote weight loss in older adults through either a health coach or a registered dietitian and physical therapist. In those not showing weight loss at 8-weeks, we will try a different strategy to maximize the chance of losing weight. We will provide a gift card incentive for your time.

Age & Gender
  • 65 years ~ 85 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
  • Chronic Conditions
  • Wellness and Lifestyle
  • and 2 more
Not currently enrolling

Geriatric Functional Assessment System Using Passive Wearable Sensing and Deep Learning

We are testing out a device that collects physical function data among older adults who have multiple chronic conditions. We want to see if the device works efficiently and is user friendly.

Age & Gender
  • 65 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
Open

Using Chat GPT and Amazon Alexa for Early Diagnosis of Memory Decline

Learn if voice recognition technology can help in the early detection of memory problems We are inviting you to participate in a research study, Exploiting Voice Assistant Systems for Early Detection of Cognitive Decline, by completion of a virtual interaction involving a memory test, questionnaires, and interaction with Chat GPT and an Amazon Alexa. Our study team is seeking volunteers: • Aged 65 and older • Are healthy or have mild cognitive impairment • Have access to Wi-Fi and a quiet environment • Have the internet browser Google Chrome or are willing to install it on their personal computer This study involves: • 1 Zoom session • Completion of memory tests and questionnaires • Interaction with Amazon Alexa • Interaction with Chat GPT • Virtual visit will be audio and videotaped After the session, you will be compensated $20 for your participation.

Age & Gender
  • 65 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
  • Chronic Conditions
  • Physical Disability
  • and 3 more
Visit Location
100% Remote (online, phone, text)
Not currently enrolling

Nutrition & Dietary Assessment Pilot Study

This study is designed to determine whether our voice-based recall system can recall your food from the past 24 hours in comparison to the ASA-24 web based method.

Age & Gender
  • 65 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
  • Eating, Nutrition, and Metabolism
  • Obesity
  • and 4 more
Visit Location
100% Remote (online, phone, text)
Not currently enrolling

Assessing Social Predictors of health using artificial Intelligence to Reform EMRs (ASPIRE)

The risk factors that drive health are unique to various patient populations and different patient populations use different language to communicate their health risk factors. The health risk factors and language that patients use also differs by locations. We are holding focus group sessions with family medicine physicians, senior patients, caregivers of senior patients, patients experiencing homelessness, and patients experiencing food insecurity to gain a deeper understanding of the major health risk factors they face and the words they use to describe them.

Age & Gender
  • 18 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Aging
  • Healthy Volunteer or General Population
  • Minority Health
  • and 7 more
Not currently enrolling

GLP-1 Survey

This study will try to see what the association is between older adults using a GLP-1 agonist medication and their physical function.

Age & Gender
  • 65 years ~ 99 years
  • Male, Female, Gender Inclusive
Study Interest
  • Obesity
Visit Location
100% Remote (online, phone, text)
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