Association Analysis for Chronic Diseases Based on Resident Health Records by Using Big Data Methods

Association Analysis for Chronic Diseases Based on Resident Health Records in China by Using Big Data Methods

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT03279822

Enrollment

10000000

Registered

2017-09-12

Start date

2015-01-01

Completion date

2020-12-30

Last updated

2021-01-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Disease

Brief summary

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.

Interventions

OTHERnot any intervention

not any intervention

Study design

Observational model

ECOLOGIC_OR_COMMUNITY

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

20 Years to 100 Years

Healthy volunteers

Yes

Inclusion criteria

* Survey Chinese residents aged 20 - 100 years, were included in this study.

Exclusion criteria

* Serious hepatic or renal dysfunctions.

Design outcomes

Primary

Measure	Time frame	Description
regular diagnosis and medical history of common diseases	an average of 1 year	resident health records for medical history of common diseases, questionnaire

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026