Clinical Research Directory

NIH-AARP Diet and Health Secondary Research Study Based on OH95CN025 Data

Background: The NIH and the American Association of Retired Persons (AARP) conducted a Diet and Health Study. It studied the links between diet, cancer, and cause of death in a group of middle-aged people in the U.S. Researchers want to learn more about how diet and lifestyle can affect cancer and mortality. Objective: To clarify links between diet, lifestyle, cancer, death, and chronic diseases. Eligibility: AARP members ages 50 to 71 who took part in study #OH95CN025 and lived in California, Florida, Pennsylvania, New Jersey, North Carolina, Louisiana, Atlanta, or Detroit in 1995 1996. Design: This study will use existing data and samples. Participants will not be contacted. Participants personal data, like name, date of birth, and address, will be used. This data will be kept private. Their data and samples will get a unique ID. Data from other follow-up studies will be used. Cancer outcome data will be obtained from the 8 sample areas. Many participants have moved to Arizona, Nevada, and Texas. Data will be obtained from those states as well. Cause of death and date of death will be obtained from the National Death Index. Cheek swab samples were gathered from 2004 to 2005. They will be used to study the oral microbiome. The University of Washington (UW) will be added as a study site. UW will study air pollution. The process of linking with the Virtual Pooled Registry Cancer Linkage System will be explored. It uses one system. Right now, 11 state systems are used to get and link data. Paper records will be stored in locked file rooms. Electronic data will be stored on secure servers.

Impact of Online Medical Misinformation

A cross-sectional analytical study was conducted among adult patients diagnosed with chronic diseases to assess the impact of online medical misinformation on medication adherence, treatment decision-making, and health care-seeking behavior.

AI-Based Tai Chi and Baduanjin for Improving Balance and Reducing Fall Risk in Adults With Chronic Diseases

This study aims to examine the effects of an AI-based mobile application delivering Tai Chi and Baduanjin exercises on balance and fall risk in adults with chronic diseases. Participants will be randomly assigned to Tai Chi, Baduanjin, or a control group over a 12-week period. The AI application will provide exercise guidance and basic feedback. Outcomes will focus on balance and, fall risk, along with user interaction with the technology. The results are expected to support the use of AI-assisted exercise programs in improving balance and reducing fall risk in individuals with chronic conditions.

Gansu Nurses' Health Cohort Study

This study aims to understand the health status, work stress, and occupational exposure in the work environment among nurses in Gansu Province, China. We will collect information through questionnaires and conduct follow-up surveys every two years. The results of this study will help improve working conditions for nurses in the future and provide scientific evidence for developing health protection policies for the nursing workforce.

Real-World Data Linkage Research Platform

This study aims to address the lack of intelligent governance tools in clinical data management to promote efficient governance and secure sharing of real-world health data. To achieve this, a self-adaptive, automated governance intelligent agent will be developed based on a High-Order Programming (HOP) architecture, integrating Large Language Models (LLMs) and deep learning techniques. The agent will continuously monitor and correct data quality issues in real time, improving data accuracy and usability. In parallel, the project will establish a trusted data-sharing framework by integrating AI Confidential Computing (AICC) with Trusted Data Matrix (TDM) technologies. This framework will enable secure, real-time cross-institutional data exchange and collaborative computation while protecting sensitive information. Overall, the study aims to transform fragmented clinical data into high-quality, standardized, and securely accessible resources, thereby facilitating the circulation of data value and advancing collaborative medical research.

Physical Health Improvement Intervention for People Admitted to Mental Health Service

This study aims to codesign and implement a physical health improvement behaviour change intervention for people being treated for a mental illness in a mental health inpatient unit of a regional hospital.

Evaluate the Effectiveness of a Virtual Community of Practice

Objective: To evaluate and compare the effectiveness and cost-effectiveness of a Virtual Community of Practice (VCoP) via a web-based application versus individual and self-administered online education to improve the activation of middle-aged people with multimorbidity. Design: Randomized controlled pragmatic clinical trial with two parallel arms and 18 months follow-up. Setting: Primary health centres and hospitals (Catalonia, Madrid, and the Canary Islands). Population: Middleaged people (30-60 years old) with multimorbidity (≥=2 chronic diseases). Sample size: 240 patients. Randomization: all participants will be randomly assigned to the intervention (VCoP) or the active control group. Data analysis will be blinded to intervention allocation. Intervention: The intervention group will be offered participation for 12 months in a VCoP based on a gamified web-based application. The control group will receive individual, content-focused education through a web platform that will cover the same topics as the VCoP but will be self-administered and without social interaction within the platform. Measurements: The main variable will be measured using the Patient Activation Measure (PAM) questionnaire at baseline, 6, 12 and 18 months. Secondary variables: participant sociodemographics, depression (PHQ-9), anxiety (HADS-A), treatment burden (TBQ), quality of life (EQ-5D-5L), variables related to the use of health resources and to the use of the VCoP. Analysis: Mixed-effects linear regression will be used to determine the effects of the VCoP on the changes in patient activation. Scores at baseline, 6, 12 and 18 months will be included as a fixed effect variable, and the patient and health professional as random effect variables. Analyses will be performed on an intention-to-treat basis. An economic evaluation will be carried out to analyze the cost-effectiveness of the VCoP compared to active control, from the National Health System and social perspectives.

Precision Nutrition and Food Safety for Dietary Prevention of Chronic Disease Study

The associations between food nutrition and safety factors with the risk of chronic diseases are still unclear. This study is conducted in Jinhua, a city with a high prevalence of chronic diseases in China, to assess relations between food nutrition and safety factors and chronic diseases.