The Influence of Neighborhood and Environmental Characteristics on Physical and Psychological Wellbeing in Older Adults: Analysis Using Data From the Cart Study
- Research team: Principal investigator Ryan Ramphul, PhD, UTHealth Houston School of Public Health. Co-investigators Aanand Naik, MD, UTHealth Houston School of Public Health and Carina Katigbak, PhD, RN, Cizik School of Nursing
- Overview: Researchers will delve into data from the Collaborative Aging Research using Technology (CART) initiative and other sources to examine the effects of neighborhood characteristics on the lives of older adults. The CART initiative collected data on 200+ older adults living in homes with monitoring sensors, FitBit devices, and weekly mental and social health surveys.
- Funding Sponsor: Aging in Place Research Award
- Budget: $40,000
- Project period: Sept. 1, 2024-Aug. 31, 2025
Healthcare Mobile ALOHA: Enhancing Independent Living for Aging Populations
- Research Team: Multiple principal investigators Xiaoqian Jiang, PhD, McWilliams School of Biomedical Informatics at UTHealth Houston, and Carolyn Pickering, PhD, RN, Cizik School of Nursing
- Overview: The team is testing a general-purpose, artificial intelligence-powered robotic system designed to assist older adults with daily tasks.
- Funding Sponsor: Aging in Place Research Award
- Budget: $40,000
- Project period: Sept. 1, 2024-Aug. 31, 2025
Assessment of the GaitMate Application for Activities of Daily Living, Gait Metrics, and Falls
- Research Team: Primary investigator Stephanie Silveria, PhD, UTHealth Houston School of Public Health. Co-investigators Carolyn Pickering, PhD, RN, Cizik School of Nursing; Shou-Hsiu (James) Chang, PhD, PT, McGovern Medical School; Evan Kwiatkowski, PhD, UTHealth Houston School of Public Health; Catherine G. Ambrose, PhD, McGovern Medical School; and Nahid J. Rianon, DrPH, MBBS, McGovern Medical School.
- Overview: The study will collect real-time data from 50 older adults performing standard activities of daily living to test GaitMate, a smartphone app designed to predict fall risks by analyzing a person’s gait or walking pattern.
- Funding Sponsor: Aging in Place Research Award
- Budget: $30,000
- Project period: Sept. 1, 2024-Aug. 31, 2025
