- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06686186
Hainan Community Cognition Cohort
November 11, 2024 updated by: Jindong Ding Petersen, Hainan Medical College
A Prospective Cohort of Hainan Community Elderly Population with Cognitive Impairment
This is a community-based prospective cohort study in Hainan Province, China.
The study was initialized in 2023 and included older residents for longitudinal follow-up.
The research aims to identify risk factors as well as health and social outcomes that are associated with cognitive impairment in elderly populations, and independently develop AI-assisted software and applications for cognitive enhancement and physical rehabilitation training.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
This is a community-based prospective cohort study in Hainan Province, China.
Subjects are individuals aged 60 years and above who have lived in the communities for more than six months and have signed informed consent.
The research have been initialed in 2023 and aims to identify the risk factors associated with cognitive impairment, to develop software for cognitive enhancement and physical rehabilitation training.
The study includes three steps: first, to conduct cognitive function screening in 16 communities in four districts (Xiuying, Meilan, Longhua, and Qiongshan) of Haikou City and establish a database for the elderly in tropical regions; second, to identify risk factors associated with cognitive impairment in the elderly population; finally, to independently develop a software for cognitive function enhancement and physical rehabilitation training.
Study Type
Observational
Enrollment (Estimated)
2000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Jindong Ding Petersen, PHD.
- Phone Number: 089866893772
- Email: dingjindong@muhn.edu.cn
Study Locations
-
-
Hainan
-
Haikou, Hainan, China, 571199
- Recruiting
- Hainan Medical University
-
Contact:
- Jindong Ding Petersen, PHD
- Phone Number: +8613256406001
- Email: dingjindong@muhn.edu.cn
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
Community residents aged 60 years or older in Hainan Province, China
Description
Inclusion Criteria:
- Age 60 years and above
- Lived in the community for more than 6 months
- Signed the informed consent form
Exclusion Criteria:
- Cannot complete the survey
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The prevalence and incidence of cognitive impairment base on the communities
Time Frame: An average of 1 to 2 years
|
Mild cognitive impairment was measured using a Chinese version Mini-Mental State Examination, which was collected by questionnaire.
The minimum value of the Mini-Mental State Examination is 0, and the maximum value is 30, the higher the score, the better the cognition outcome.
|
An average of 1 to 2 years
|
|
The prevalence and incidence of dementia using a population-based survey
Time Frame: An average of 1 to 2 years
|
Dementia was determined by diagnosis of hospitalization or Clinical Dementia Rating Scale (Montreal Cognitive Assessment, MoCA). The minimum value of the MoCA is 0, and the maximum value is 30, the higher the score, the better the outcome. In addition, subtypes of dementia will be based on the specific clinical diagnosis. |
An average of 1 to 2 years
|
|
The conversion rate of normal to cognitive impairment
Time Frame: An average of 1 to 2 years
|
Percentage of enrolled population that convert from normal to cognitive impairment
|
An average of 1 to 2 years
|
|
The conversion rate of cognitive impairment to dementia
Time Frame: An average of 1 to 2 years
|
Percentage of enrolled population that convert from cognitive impairment to dementia
|
An average of 1 to 2 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 16, 2022
Primary Completion (Estimated)
December 31, 2053
Study Completion (Estimated)
December 31, 2053
Study Registration Dates
First Submitted
October 23, 2024
First Submitted That Met QC Criteria
November 11, 2024
First Posted (Estimated)
November 13, 2024
Study Record Updates
Last Update Posted (Estimated)
November 13, 2024
Last Update Submitted That Met QC Criteria
November 11, 2024
Last Verified
September 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- Hainan Medical University
- ZDYF2024SHFZ064 (Other Grant/Funding Number: Hainan Provincial Department Of Science and Technology)
- 82360673 (Other Grant/Funding Number: National Natural Science Foundation of China)
- XRC2022005 (Other Grant/Funding Number: Hainan Medical University)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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