The Dampness Syndrome of Chinese Medicine Cohort Study

NCT ID: NCT05315895

Last Updated: 2022-11-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

100000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-06-06

Study Completion Date

2028-03-30

Brief Summary

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The researchers plain to build a large-scale, longitudinal, prospective cohort characterized by TCM dampness syndrome. With the biobank of this cohort the investigators want to find the causality between TCM dampness syndrome and clinical chronic diseases and a new way to treat clinical disease.

Detailed Description

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DACOS is a national large- scale, longitudinal, multi-center, prospective, cohort study of natural person aged 35 to 75. The baseline survey and the follow-up surveys will be conducted in 5 areas covering the eastern, northern, western, southern and middle parts of China. In this study 100,000 natural person will be regularly followed up for 5 years(visited once a year), with the loss rate ≤15%. Three parts will be carried in the form of interview, physical examination and biological sample collection. During the interview, the investigators plan to do some questionnaires to learn participants' demographic characteristics, life style, disease history, healthy condition(EQ-5D-5L, SDS,), cognition state(AD-8, MMSE, MoCA) and the results of TCM syndrome differentiation(Score of Dampness syndrome and TCM constitution scale). All biological specimens (including blood, feces, urine, saliva and tongue coating) will be collected and stored in the biological resource center until researchers request their use. With the building up of this cohort, the researchers will analyze the causality between dampness syndrome and specific chronic diseases such as diabetes, coronary heart disease, cancer, dementia and so on.

Conditions

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Chronic Disease Cancer Dementia Alzheimers Metabolic Disease Aging Alzheimer Disease, Early Onset

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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general population

general population in a specific area and specifc time range.

natural aging process

Intervention Type OTHER

To observe the relationship between new cases of diseases and health status of people exposed to different factors such as life style, alcohol consumption, eating habits, etc.

Interventions

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natural aging process

To observe the relationship between new cases of diseases and health status of people exposed to different factors such as life style, alcohol consumption, eating habits, etc.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

1. Residents aged 30 to 79, whose residence is consistent with their registered permanent residence location;
2. Residents who voluntarily participate in the project, agree to the collection of their biological information, and sign the informed consent form;
3. Residents who have no mental illness and other related diseases, and display a normal ability of expression and understanding;

Exclusion Criteria

1. Residents who reject collaboration;
2. Residents who allow no follow-up visits.
Minimum Eligible Age

35 Years

Maximum Eligible Age

79 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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State Key Laboratory of Dampness Syndrome of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine

UNKNOWN

Sponsor Role collaborator

Guangzhou University of Traditional Chinese Medicine

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Guangdong Province Hospital of Tradtional Chinese Medicine

Guangzhou, Guangdong, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Jianwen Guo, MD

Role: CONTACT

+86-13724899379

Bin Zhang, PhD

Role: CONTACT

+86 18511308217

Facility Contacts

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jianwen Guo, Dr

Role: primary

020-81887233 ext. 34530

References

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Li M, Liu N, Jiang G, Zeng H, Guo J, Wu D, Zhou H, Wen Z, Zhou L. Health-related quality of life in populations with diabetes, prediabetes, and normal glycemic levels in Guangzhou, China: a cross-sectional study. Front Endocrinol (Lausanne). 2025 May 23;16:1518204. doi: 10.3389/fendo.2025.1518204. eCollection 2025.

Reference Type DERIVED
PMID: 40487765 (View on PubMed)

Other Identifiers

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SZ2021ZZ06

Identifier Type: -

Identifier Source: org_study_id

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