There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Zaixing Shi |
| Institution: | School of Public Health, Xiamen University |
| Department: | Key Laboratory of Health Technology Assessment |
| Country: | |
| Proposed Analysis: | Previous studies suggest that metabolic syndrome (MetS) may be predictive of dementia, espcially vascular dementia. In this analysis, we aim to develop MetS-based risk prediction model for dementia to maximize the predicability of MetS and its components. Primay analyses include 1) analyze the longitudinal change in MetS and its components; 2) analyze the relationship between changing MetS symptom score (and individual components) and dementia risks; 3) develop prediction model for dementia based on a combination of existing MetS and worsening MetS. |
| Additional Investigators |
