The Study of CCTM and Common Diseases

NCT02998944 | Completed

• 1 other identifier: cctmcd
• Study Type: observational
• Target: 3,748
• Locations: 0 countries
• Sites: N/A

Brief Summary

This study aimed to explore the associations between constitutions of traditional Chinese medicine (TCM) and common disease (CD). A large-scale, community-based, cross-sectional study was performed to investigate the associations. A total of 3748 participants were available for analysis in this study. The assessment of constitution of TCM was based on recommendations of Association Chinese Medicine in China. In this study, the diagnosis of CD was based on self-reported medical history. The associations were analyzed using univariate and multivariable logistic regression (MLR).

Conditions

Hypertension; Diabetes Mellitus; Chronic Obstructive Pulmonary Disease Moderate; Coronary Artery Disease; Obesity

Outcome Measures

Primary Outcomes (5)

• hypertension

  questionaire

  through study completion, an average of 2 year

• diabetes mellitus

  questionaire

  through study completion, an average of 2 year

• coronary artery disease

  questionaire

  through study completion, an average of 2 year

• COPD

  questionaire

  through study completion, an average of 2 year

• Obesty

  calculation from height and weight

  through study completion, an average of 2 year

Eligibility Criteria

• Age: 30 Years - 90 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

A risk-factor study for constitution of TCM and chronic disease was conducted in a random sample of the Chinese population. Participants aged 30-90 years were recruited from rural and urban communities in Shanghai. More than 4,000 participants were invited to a screening visit between 2011 and 2013. Written consent was obtained from all patients before the study, which was performed in accordance with the ethical standards in the Declaration of Helsinki, and approved by the Medicine Ethical Committee of the Huashan Hospital. The exclusion criteria were 1) severity renal and liver function abnormal and 2) pregnant woman. A total of 3748 participants were available to data analysis.

You may qualify if:

• Participants aged 30-90 years were recruited from rural and urban communities in Shanghai.

You may not qualify if:

• severity renal and liver function abnormal and pregnant woman

Sponsors & Collaborators

• Shanghai Tongji Hospital, Tongji University School of Medicine: lead
• Huashan Hospital: collaborator

Related Publications (2)

• Fang P, Dong J, Zeng F, Tang Z. Analysis of the association between glucose profiles and beta-cell function for diabetic cardiovascular autonomic neuropathy in China. J Diabetes Investig. 2017 May;8(3):354-362. doi: 10.1111/jdi.12584. Epub 2016 Nov 25.

  PMID: 27736036 BACKGROUND

• Lv Y, Zhou L, Tang Z, Dong J. Association and interaction analysis of diabetes mellitus and SCN10A for cardiovascular autonomic neuropathy in a Chinese population. Postgrad Med J. 2017 Jun;93(1100):344-348. doi: 10.1136/postgradmedj-2016-134202. Epub 2016 Oct 11.

  PMID: 27729462 BACKGROUND

MeSH Terms

Conditions

Hypertension; Diabetes Mellitus; Coronary Artery Disease; Obesity

Condition Hierarchy (Ancestors)

Vascular Diseases; Cardiovascular Diseases; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Endocrine System Diseases; Coronary Disease; Myocardial Ischemia; Heart Diseases; Arteriosclerosis; Arterial Occlusive Diseases; Overweight; Overnutrition; Nutrition Disorders; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: CASE CROSSOVER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Attending physician

Study Record Dates

• First Submitted: December 4, 2016
• First Posted: December 21, 2016
• Study Start: January 1, 2011
• Primary Completion: December 1, 2013
• Study Completion: November 1, 2016
• Last Updated: December 21, 2016

Record last verified: 2016-12

Data Sharing

• IPD Sharing: Will not share