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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Taining County Resident Cohort | A community-based cohort of ≥20,000 adult residents (aged 18 years and older) living in Taining County, Fujian Province, China. Participants will undergo baseline assessments including questionnaires, physical examinations, laboratory tests, imaging, and biospecimen collection. Annual follow-up (active and passive) will be conducted for 3 years to record incidence of chronic diseases, functional status, and aging-related outcomes. |
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| Measure | Description | Time Frame |
|---|---|---|
| Incidence 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. | Up to 36 months |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | Up to 36 months |
| Heart Failure-Related Rehospitalization Rate |
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Inclusion Criteria:
Exclusion Criteria:
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The study population will consist of community-dwelling adult residents of Taining County, a mountainous region in Fujian Province, China. Eligible participants are men and women aged 18 years and older who have lived in the county for at least 6 months and are expected to remain for the next 3 years.
A total of at least 20,000 participants will be enrolled at baseline through community-based recruitment and household registration systems. The population reflects the demographic and health characteristics of a rural county with a relatively high proportion of older adults and a growing burden of chronic diseases such as hypertension, diabetes, and cardiovascular disease.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Dajun Chai, MD | Contact | 0086059187981637 | dajunchai-fy@fjmu.edu.cn | |
| Hailin Zhang | Contact | 0086059187981637 | 824224843@qq.com |
| Name | Affiliation | Role |
|---|---|---|
| Dajun Chai, MD | First Affiliated Hospital of Fujian Medical University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Affiliated Hospital of Fujian Medical University | Recruiting | Fuzhou | Fujian | 350011 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36626327 | Background | Chen L, Li X, Lv Y, Tan X, Zhong VW, Rong S, Liu G, Liu L. Physical frailty, adherence to ideal cardiovascular health and risk of cardiovascular disease: a prospective cohort study. Age Ageing. 2023 Jan 8;52(1):afac311. doi: 10.1093/ageing/afac311. | |
| 40369582 | Background | Hu L, Li J, Tang Z, Gong P, Chang Z, Yang C, Ma T, Jiang S, Yang C, Zhang T. How does biological age acceleration mediate the associations of obesity with cardiovascular disease? Evidence from international multi-cohort studies. Cardiovasc Diabetol. 2025 May 14;24(1):209. doi: 10.1186/s12933-025-02770-0. |
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De-identified individual participant data, including demographic information, clinical characteristics, imaging parameters ECG data, laboratory test results, biospecimen profiles and follow-up outcomes, will be shared.
IPD will be made available beginning 24 months after the primary study completion date and remain accessible for up to 24 months.
Qualified researchers with a scientifically sound proposal may request access to the data. Requests will be evaluated by the study steering committee. Approved users must sign a data use agreement ensuring compliance with privacy, ethical, and scientific standards.
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| ID | Term |
|---|---|
| D002908 | Chronic Disease |
| D006973 | Hypertension |
| D003920 | Diabetes Mellitus |
| D050171 | Dyslipidemias |
| D000073496 | Frailty |
| D055948 | Sarcopenia |
| D002318 | Cardiovascular Diseases |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D014652 | Vascular Diseases |
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15 mL fasting venous blood collected in the morning after an overnight fast. Used for routine hematology, biochemistry, platelet aggregation, BNP, CRP, and bone turnover markers. Aliquots will also be stored for future analyses. All biospecimens will be processed and stored according to standardized operating procedures. A biobank will be established at the county hospital and collaborating institutions to support future multi-omics and public health research.
Rehospitalization due to worsening heart failure among participants diagnosed with heart failure, confirmed by hospital admission records. |
| 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. | 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. | Up to 36 months |
| Cognitive Function Outcomes | Changes in cognitive function assessed using standardized cognitive screening tools administered at baseline and during follow-up. | 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. | Up to 36 months |
| All-Cause Mortality | Death from any cause, confirmed through medical records and the local death registry system. | Up to 36 months |
| 37632466 | Background | Global Cardiovascular Risk Consortium; Magnussen C, Ojeda FM, Leong DP, Alegre-Diaz J, Amouyel P, Aviles-Santa L, De Bacquer D, Ballantyne CM, Bernabe-Ortiz A, Bobak M, Brenner H, Carrillo-Larco RM, de Lemos J, Dobson A, Dorr M, Donfrancesco C, Drygas W, Dullaart RP, Engstrom G, Ferrario MM, Ferrieres J, de Gaetano G, Goldbourt U, Gonzalez C, Grassi G, Hodge AM, Hveem K, Iacoviello L, Ikram MK, Irazola V, Jobe M, Jousilahti P, Kaleebu P, Kavousi M, Kee F, Khalili D, Koenig W, Kontsevaya A, Kuulasmaa K, Lackner KJ, Leistner DM, Lind L, Linneberg A, Lorenz T, Lyngbakken MN, Malekzadeh R, Malyutina S, Mathiesen EB, Melander O, Metspalu A, Miranda JJ, Moitry M, Mugisha J, Nalini M, Nambi V, Ninomiya T, Oppermann K, d'Orsi E, Pajak A, Palmieri L, Panagiotakos D, Perianayagam A, Peters A, Poustchi H, Prentice AM, Prescott E, Riserus U, Salomaa V, Sans S, Sakata S, Schottker B, Schutte AE, Sepanlou SG, Sharma SK, Shaw JE, Simons LA, Soderberg S, Tamosiunas A, Thorand B, Tunstall-Pedoe H, Twerenbold R, Vanuzzo D, Veronesi G, Waibel J, Wannamethee SG, Watanabe M, Wild PS, Yao Y, Zeng Y, Ziegler A, Blankenberg S. Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality. N Engl J Med. 2023 Oct 5;389(14):1273-1285. doi: 10.1056/NEJMoa2206916. Epub 2023 Aug 26. |
| 35421400 | Background | Moturi S, Ghosh-Choudhary SK, Finkel T. Cardiovascular disease and the biology of aging. J Mol Cell Cardiol. 2022 Jun;167:109-117. doi: 10.1016/j.yjmcc.2022.04.005. Epub 2022 Apr 11. |
| 35210039 | Background | Liberale L, Badimon L, Montecucco F, Luscher TF, Libby P, Camici GG. Inflammation, Aging, and Cardiovascular Disease: JACC Review Topic of the Week. J Am Coll Cardiol. 2022 Mar 1;79(8):837-847. doi: 10.1016/j.jacc.2021.12.017. |
| 40096912 | Background | Hu C. Prevention of cardiovascular disease for healthy aging and longevity: A new scoring system and related "mechanisms-hallmarks-biomarkers". Ageing Res Rev. 2025 May;107:102727. doi: 10.1016/j.arr.2025.102727. Epub 2025 Mar 15. |
| 33518357 | Background | da Silva PFL, Schumacher B. Principles of the Molecular and Cellular Mechanisms of Aging. J Invest Dermatol. 2021 Apr;141(4S):951-960. doi: 10.1016/j.jid.2020.11.018. Epub 2021 Jan 29. |
| 37657418 | Background | Moqri M, Herzog C, Poganik JR; Biomarkers of Aging Consortium; Justice J, Belsky DW, Higgins-Chen A, Moskalev A, Fuellen G, Cohen AA, Bautmans I, Widschwendter M, Ding J, Fleming A, Mannick J, Han JJ, Zhavoronkov A, Barzilai N, Kaeberlein M, Cummings S, Kennedy BK, Ferrucci L, Horvath S, Verdin E, Maier AB, Snyder MP, Sebastiano V, Gladyshev VN. Biomarkers of aging for the identification and evaluation of longevity interventions. Cell. 2023 Aug 31;186(18):3758-3775. doi: 10.1016/j.cell.2023.08.003. |
| 37603800 | Background | Nash DB. The Future of Chronic Disease Management. Popul Health Manag. 2023 Aug;26(S1):S2-S3. doi: 10.1089/pop.2023.0128. No abstract available. |
| 37335639 | Background | Elendu C, Elendu RC, Enyong JM, Ibhiedu JO, Ishola IV, Egbunu EO, Meribole ES, Lawal SO, Okenwa CJ, Okafor GC, Umeh ED, Mutalib OO, Opashola KA, Fatoye JO, Awotoye TI, Tobih-Ojeanelo JI, Ramon-Yusuf HI, Olanrewaju A, Afuh RN, Adenikinju J, Amosu O, Yusuf A. Comprehensive review of current management guidelines of chronic kidney disease. Medicine (Baltimore). 2023 Jun 9;102(23):e33984. doi: 10.1097/MD.0000000000033984. |
| 33427791 | Background | Chan SW. Chronic Disease Management, Self-Efficacy and Quality of Life. J Nurs Res. 2021 Feb 1;29(1):e129. doi: 10.1097/JNR.0000000000000422. No abstract available. |
| 33146552 | Background | Halpin DMG, Criner GJ, Papi A, Singh D, Anzueto A, Martinez FJ, Agusti AA, Vogelmeier CF. Global Initiative for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease. The 2020 GOLD Science Committee Report on COVID-19 and Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med. 2021 Jan 1;203(1):24-36. doi: 10.1164/rccm.202009-3533SO. |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D052439 | Lipid Metabolism Disorders |
| D009133 | Muscular Atrophy |
| D020879 | Neuromuscular Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D001284 | Atrophy |
| D020763 | Pathological Conditions, Anatomical |
| D012816 | Signs and Symptoms |