Association Analysis for Chronic Diseases Based on Resident Health Records by Using Big Data Methods
Overview
This is an observational study to analysis the association factors for common diseases, including chronic obstructive pulmonary disease, coronary artery disease, hypertension, diabetes etc, based on resident healthcare records. More than 10 million resident healthcare records should be collected for the associations study by using big data methods.
Full Title of Study: “Association Analysis for Chronic Diseases Based on Resident Health Records in China by Using Big Data Methods”
Study Type
- Study Type: Observational
- Study Design
- Time Perspective: Retrospective
- Study Primary Completion Date: December 30, 2020
Interventions
- Other: not any intervention
- not any intervention
Arms, Groups and Cohorts
- Group
Clinical Trial Outcome Measures
Primary Measures
- regular diagnosis and medical history of common diseases
- Time Frame: an average of 1 year
- resident health records for medical history of common diseases, questionnaire
Participating in This Clinical Trial
Inclusion Criteria
- Survey Chinese residents aged 20 – 100 years, were included in this study. Exclusion Criteria:
- Serious hepatic or renal dysfunctions.
Gender Eligibility: All
Minimum Age: 20 Years
Maximum Age: 100 Years
Are Healthy Volunteers Accepted: Accepts Healthy Volunteers
Investigator Details
- Lead Sponsor
- Shanghai Tongji Hospital, Tongji University School of Medicine
- Collaborator
- Huashan Hospital
- Provider of Information About this Clinical Study
- Principal Investigator: Zihui Tang, Principal Investigator – Huashan Hospital
References
Liu J, Xu F, Mohammadtursun N, Lv Y, Tang Z, Dong J. The Analysis of Constitutions of Traditional Chinese Medicine in Relation to Cerebral Infarction in a Chinese Sample. J Altern Complement Med. 2018 May;24(5):458-462. doi: 10.1089/acm.2017.0027. Epub 2017 Aug 18.
Li X, Lei T, Tang Z, Dong J. Analyzing the association between fish consumption and osteoporosis in a sample of Chinese men. J Health Popul Nutr. 2017 Apr 19;36(1):13. doi: 10.1186/s41043-017-0088-y.
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