This study aims to establish the first county-level, population-based prospective cohort in Taining County, Fujian Province, China. The cohort will include at least 20,000 residents aged 18 years or older. The project will systematically collect questionnaires, physical measurements, laboratory tests, imaging data, and biological samples to build a multi-dimensional health database and biobank. Through 3-year follow-up, the study seeks to reveal the epidemiological patterns and risk factors of chronic diseases, characterize the natural course of multimorbidity and aging syndromes, and develop a comprehensive chronic disease management model suitable for rural and mountainous regions.
China is undergoing rapid population aging, with chronic non-communicable diseases (NCDs) becoming the leading cause of death and disability. Taining County, located in a mountainous area of Fujian Province, faces a higher-than-average aging population and a growing burden of hypertension, diabetes, dyslipidemia, and cardiovascular diseases. Early detection and standardized management remain insufficient, and healthcare resources are limited. This study will establish a prospective cohort covering ≥20,000 residents, integrating demographic, lifestyle, clinical, laboratory, and imaging data. Active follow-up will be conducted annually, complemented by passive follow-up through local healthcare and death registry systems. The study will (1) identify epidemiological features and risk factors of common chronic diseases, (2) explore multimorbidity and aging trajectories, and (3) develop a replicable "Taining Model" for chronic disease prevention and management at the county level. The results will provide an evidence base for public health decision-making and chronic disease control strategies in similar rural and mountainous regions.
Study Type
OBSERVATIONAL
Enrollment
20,000
The First Affiliated Hospital of Fujian Medical University
Fuzhou, Fujian, China
RECRUITINGIncidence of Major Adverse Cardiovascular Events (MACE)
Composite outcome including cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Events will be ascertained through active follow-up and confirmed using medical records and hospital discharge summaries.
Time frame: Up to 36 months
Incidence of Cardiovascular and Cerebrovascular Events
New onset of coronary heart disease, stroke, or heart failure, identified through follow-up visits and confirmed using medical records.
Time frame: Up to 36 months
Heart Failure-Related Rehospitalization Rate
Rehospitalization due to worsening heart failure among participants diagnosed with heart failure, confirmed by hospital admission records.
Time frame: Up to 36 months
Bleeding Events
Occurrence of clinically significant bleeding events, including gastrointestinal bleeding and other major or clinically relevant non-major bleeding, identified through follow-up and medical records.
Time frame: Up to 36 months
Health Economics Outcomes
Direct medical costs, hospitalization expenses, outpatient visit costs, medication costs, and health service utilization related to chronic disease management, collected from medical records and insurance data.
Time frame: Up to 36 months
Cognitive Function Outcomes
Changes in cognitive function assessed using standardized cognitive screening tools administered at baseline and during follow-up.
Time frame: Baseline and annual follow-up (Year 1-3)
Cancer Incidence and Cancer-Related Outcomes
Newly diagnosed malignant tumors and cancer-related outcomes, identified through self-report and confirmed by medical records or cancer registry data.
Time frame: Up to 36 months
All-Cause Mortality
Death from any cause, confirmed through medical records and the local death registry system.
Time frame: Up to 36 months
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