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RecruitingNCT07124949Updated Aug 20, 2025

Chinese Migrant Population Health Cohort

An observational study in Cardiovascular Diseases, Metabolic Disorders and Ageing and Geriatric Health, sponsored by Jinwei Tian. Recruiting at 1 site in China. Open to participants aged 60 Years to 120 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-08-20.

Sponsored by Jinwei Tian · Observational

From the registry’s dates

  • Started Jul 2025; still recruiting 1 year 2 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
26,000
Ages
60 Years to 120 Years
Sex
All
01

Study summary

The Chinese Migrant Population Health Cohort is a prospective, multi-center study jointly initiated by Professor Yong Ji, President of Harbin Medical University, and Academician Guoqiang Chen, President of Hainan Medical University, in collaboration with regional partners. It targets older adults (≥60 years) who engage in seasonal migration between cold (Heilongjiang) and tropical (Hainan) regions. The primary objective is to investigate cardiovascular and metabolic disease risks, underlying biological and environmental mechanisms, and effective preventive strategies in this unique population.

Participants are recruited from both origin and destination sites and undergo standardized baseline assessments, including questionnaires, physical examinations, medical imaging, biospecimen collection (blood, stool, hair, nails), and environmental exposure monitoring. Longitudinal follow-up includes periodic reassessments, remote monitoring, and data linkage with hospital information systems to capture health outcomes.

The study aims to:

Define migration-related health risk profiles and disease phenotypes.

Elucidate biological and environmental mechanisms influencing disease onset and progression.

Develop AI-driven risk prediction models and evaluate targeted interventions through nested randomized controlled trials.

Translate findings into clinical guidelines and scalable cross-regional health management models.

This is the first cohort in China to systematically investigate the health impacts of seasonal migration in older adults. By integrating epidemiology, multi-omics, environmental data, and health policy translation, the study seeks to improve continuity of care, strengthen climate adaptation, and promote healthy ageing.

02

Conditions studied

  • Cardiovascular Diseases
  • Metabolic Disorders
  • Ageing and Geriatric Health
  • Climate Adaptation

Keywords

  • Cardiovascular Diseases
  • Metabolic Diseases
  • Geriatrics
  • Migration
  • Climate Change
  • Health Promotion
03

In context

Cardiovascular Diseases

4,904 studies on the registry are indexed under Cardiovascular Diseases; 919 are open to participants now.

This study's planned enrollment of 26,000 is above the median of 573 across 1,485 observational studies indexed under Cardiovascular Diseases.

Browse Cardiovascular Diseases studies →

Lead sponsor

Jinwei Tian is the lead sponsor of 2 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years to 120 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study will enroll community-dwelling adults aged ≥60 years from Harbin (cold region) and Hainan (tropical region), China. Four groups will be included: 1. Winter Migrant Group: \~5,000 Harbin residents who habitually migrate to Hainan during the cold season for ≥2 months each time, with ≥2 consecutive years of such migration and plans to continue; 2. Summer Migrant Group: \~1,000 Hainan residents who habitually migrate to Harbin during the hot season for ≥2 months, with similar migration history and plans; 3. Cold-Region Resident Group: \~10,000 Harbin residents, including matched controls for migrant groups and randomly selected residents, with no >2 months residence outside Harbin in the past 5 years; 4. Tropical-Region Resident Group: \~10,000 Hainan residents with similar matching criteria and residency requirements.

All participants must be able to communicate, perform daily activities independently, consent to long-term follow-up, and provide biospecimens.

Inclusion criteria

  1. Permanent residents of Harbin or Hainan who will continue to reside in Harbin or Hainan for the next 5 years.
  2. Baseline age ≥60 years, with basic communication and comprehension abilities.
  3. No confirmed diagnosis of end-stage major organic diseases (e.g., advanced heart failure, advanced liver failure, advanced kidney failure, malignant tumors).
  4. Able to perform activities of daily living independently and capable of completing questionnaires and physical examinations.
  5. Willing to participate in the study, provide written informed consent, accept long-term follow-up, and provide biological specimens.

Exclusion criteria

Exclusion Criteria:

  1. Occurrence of life-threatening acute events (e.g., myocardial infarction, acute heart failure, stroke) within the past 30 days.
  2. Currently receiving chronic treatment with antiviral drugs (e.g., for HIV) or antipsychotic medications.
  3. Presence of moderate to severe cognitive impairment preventing survey completion or follow-up cooperation.
  4. Current acute infectious diseases such as influenza or fever.
  5. Simultaneous participation in other interventional clinical studies.
  6. Refusal to sign informed consent or unwillingness to provide biological specimens.
  7. Any other condition deemed unsuitable for study participation by the investigators based on overall assessment.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
26,000 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Winter Migrant Group

    No Intervention

    Other: No intervention

  • Summer Migrant Group

    No Intervention

    Other: No intervention

  • Cold-Region Resident Group

    no Intervention

    Other: No intervention

  • Tropical-Region Resident Group

    no Intervention

    Other: No intervention

Interventions

  • OtherNo intervention

    no intervention

06

What researchers measure

Primary outcomes

  1. Number of Participants Experiencing First Major Cardiovascular Event

    First occurrence of myocardial infarction, stroke (ischemic or hemorrhagic), or cardiovascular death, confirmed through hospital records, death registries, and adjudication committee review.

    Time frame: Up to 5 years from baseline

Secondary outcomes

  1. Number of Participants with New-Onset Metabolic Disorders

    New-onset type 2 diabetes mellitus, dyslipidemia, or obesity as defined by standard clinical and laboratory criteria.

    Time frame: Up to 5 years from baseline

  2. Number of Deaths from Any Cause

    Death from any cause, verified through official death certificates and hospital records.

    Time frame: Up to 5 years from baseline

  3. Changes in Cardiometabolic Risk Factors

    Longitudinal changes in blood pressure, fasting glucose, HbA1c, lipid profile, BMI, waist circumference, and body composition.

    Time frame: Baseline, 2 years, 4 years

  4. Change in EQ-5D Quality of Life Score from Baseline

    Changes in validated quality-of-life scales (e.g., EQ-5D).

    Time frame: Baseline, 2 years, 4 years

  5. Change in Cognitive Function Score (MoCA) from Baseline

    Mean change in Montreal Cognitive Assessment score.

    Time frame: Baseline, 2 years, 4 years

Other outcomes

  1. Change in Carotid Intima-Media Thickness from Baseline

    Mean change (mm) measured by carotid ultrasound.

    Time frame: Baseline and follow-up imaging

  2. Change in Coronary Artery Calcium Score from Baseline

    Mean change in Agatston score by CT angiography.

    Time frame: Baseline and follow-up imaging

  3. Change in Plasma Metabolite Levels from Baseline

    Relative or absolute change in concentrations of targeted metabolites identified through mass spectrometry.

    Time frame: Baseline and follow-up biospecimen analyses

07

Study locations

1 of 1 sites recruiting
  • Harbin Medical University
    Harbin, Heilongjiang 150086,, China
    Recruiting
08

References and documents

Publications

  • Li C, Liu Z, Li W, Lin Y, Hou L, Niu S, Xing Y, Huang J, Chen Y, Zhang S, Gao X, Xu Y, Wang C, Zhao Q, Liu Q, Ma W, Cai W, Gong P, Luo Y. Projecting future risk of dengue related to hydrometeorological conditions in mainland China under climate change scenarios: a modelling study. Lancet Planet Health. 2023 May;7(5):e397-e406. doi: 10.1016/S2542-5196(23)00051-7. PubMed 37164516 ↗
  • Goldenberg SM, Fischer F. Migration and health research: past, present, and future. BMC Public Health. 2023 Jul 25;23(1):1425. doi: 10.1186/s12889-023-16363-7. PubMed 37491195 ↗
  • Balsari S, Dresser C, Leaning J. Climate Change, Migration, and Civil Strife. Curr Environ Health Rep. 2020 Dec;7(4):404-414. doi: 10.1007/s40572-020-00291-4. PubMed 33048318 ↗
  • Ding F, Wang Q, Hao M, Maude RJ, John Day NP, Lai S, Chen S, Fang L, Ma T, Zheng C, Jiang D. Climate drives the spatiotemporal dynamics of scrub typhus in China. Glob Chang Biol. 2022 Nov;28(22):6618-6628. doi: 10.1111/gcb.16395. Epub 2022 Sep 2. PubMed 36056457 ↗
  • Romanello M, Napoli CD, Green C, Kennard H, Lampard P, Scamman D, Walawender M, Ali Z, Ameli N, Ayeb-Karlsson S, Beggs PJ, Belesova K, Berrang Ford L, Bowen K, Cai W, Callaghan M, Campbell-Lendrum D, Chambers J, Cross TJ, van Daalen KR, Dalin C, Dasandi N, Dasgupta S, Davies M, Dominguez-Salas P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Freyberg C, Gasparyan O, Gordon-Strachan G, Graham H, Gunther SH, Hamilton I, Hang Y, Hanninen R, Hartinger S, He K, Heidecke J, Hess JJ, Hsu SC, Jamart L, Jankin S, Jay O, Kelman I, Kiesewetter G, Kinney P, Kniveton D, Kouznetsov R, Larosa F, Lee JKW, Lemke B, Liu Y, Liu Z, Lott M, Lotto Batista M, Lowe R, Odhiambo Sewe M, Martinez-Urtaza J, Maslin M, McAllister L, McMichael C, Mi Z, Milner J, Minor K, Minx JC, Mohajeri N, Momen NC, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Obradovich N, O'Hare MB, Oliveira C, Oreszczyn T, Otto M, Owfi F, Pearman O, Pega F, Pershing A, Rabbaniha M, Rickman J, Robinson EJZ, Rocklov J, Salas RN, Semenza JC, Sherman JD, Shumake-Guillemot J, Silbert G, Sofiev M, Springmann M, Stowell JD, Tabatabaei M, Taylor J, Thompson R, Tonne C, Treskova M, Trinanes JA, Wagner F, Warnecke L, Whitcombe H, Winning M, Wyns A, Yglesias-Gonzalez M, Zhang S, Zhang Y, Zhu Q, Gong P, Montgomery H, Costello A. The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms. Lancet. 2023 Dec 16;402(10419):2346-2394. doi: 10.1016/S0140-6736(23)01859-7. Epub 2023 Nov 14. PubMed 37977174 ↗
  • Clech L, Meister S, Belloiseau M, Benmarhnia T, Bonnet E, Casseus A, Cloos P, Dagenais C, De Allegri M, du Lou AD, Franceschin L, Goudet JM, Henrys D, Mathon D, Matin M, Queuille L, Sarker M, Turenne CP, Ridde V. Healthcare system resilience in Bangladesh and Haiti in times of global changes (climate-related events, migration and Covid-19): an interdisciplinary mixed method research protocol. BMC Health Serv Res. 2022 Mar 15;22(1):340. doi: 10.1186/s12913-021-07294-3. PubMed 35291985 ↗
  • Bogar K, Brensinger CM, Hennessy S, Flory JH, Bell ML, Shi C, Bilker WB, Leonard CE. Climate Change and Ambient Temperature Extremes: Association With Serious Hypoglycemia, Diabetic Ketoacidosis, and Sudden Cardiac Arrest/Ventricular Arrhythmia in People With Type 2 Diabetes. Diabetes Care. 2022 Nov 1;45(11):e171-e173. doi: 10.2337/dc22-1161. No abstract available. PubMed 36205432 ↗
  • Hauer ME, Jacobs SA, Kulp SA. Climate migration amplifies demographic change and population aging. Proc Natl Acad Sci U S A. 2024 Jan 16;121(3):e2206192119. doi: 10.1073/pnas.2206192119. Epub 2024 Jan 8. PubMed 38190539 ↗
  • Ebi KL. Managing climate change risks is imperative for human health. Nat Rev Nephrol. 2022 Feb;18(2):74-75. doi: 10.1038/s41581-021-00523-2. PubMed 34862513 ↗
  • Rogne T, Wang R, Wang P, Deziel NC, Metayer C, Wiemels JL, Chen K, Warren JL, Ma X. High ambient temperature in pregnancy and risk of childhood acute lymphoblastic leukaemia: an observational study. Lancet Planet Health. 2024 Jul;8(7):e506-e514. doi: 10.1016/S2542-5196(24)00121-9. PubMed 38969477 ↗
  • Chen H, Zhao L, Cheng L, Zhang Y, Wang H, Gu K, Bao J, Yang J, Liu Z, Huang J, Chen Y, Gao X, Xu Y, Wang C, Cai W, Gong P, Luo Y, Liang W, Huang C. Projections of heatwave-attributable mortality under climate change and future population scenarios in China. Lancet Reg Health West Pac. 2022 Sep 5;28:100582. doi: 10.1016/j.lanwpc.2022.100582. eCollection 2022 Nov. PubMed 36105236 ↗
  • Chen R, Yin P, Wang L, Liu C, Niu Y, Wang W, Jiang Y, Liu Y, Liu J, Qi J, You J, Kan H, Zhou M. Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities. BMJ. 2018 Oct 31;363:k4306. doi: 10.1136/bmj.k4306. PubMed 30381293 ↗
  • Diaz E, Benavente P. Contextualising the WHO Global Research Agenda on Health, Migration and Displacement in Norway invites to a reflection for decolonising research. Int J Equity Health. 2025 Mar 4;24(1):62. doi: 10.1186/s12939-025-02410-9. PubMed 40038573 ↗
  • Xu R, Zhao Q, Coelho MSZS, Saldiva PHN, Zoungas S, Huxley RR, Abramson MJ, Guo Y, Li S. Association between Heat Exposure and Hospitalization for Diabetes in Brazil during 2000-2015: A Nationwide Case-Crossover Study. Environ Health Perspect. 2019 Nov;127(11):117005. doi: 10.1289/EHP5688. Epub 2019 Nov 20. PubMed 31746643 ↗
  • Berglund B. High-altitude training. Aspects of haematological adaptation. Sports Med. 1992 Nov;14(5):289-303. doi: 10.2165/00007256-199214050-00002. PubMed 1439397 ↗
  • Fernandez S, Arce G, Garcia-Alaminos A, Cazcarro I, Arto I. Climate change as a veiled driver of migration in Bangladesh and Ghana. Sci Total Environ. 2024 Apr 20;922:171210. doi: 10.1016/j.scitotenv.2024.171210. Epub 2024 Feb 26. PubMed 38417512 ↗
  • Cao B, Bai C, Wu K, La T, Su Y, Che L, Zhang M, Lu Y, Gao P, Yang J, Xue Y, Li G. Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China. Glob Chang Biol. 2023 Jul;29(13):3723-3746. doi: 10.1111/gcb.16708. Epub 2023 Apr 17. PubMed 37026556 ↗
  • Briggs S, Cavet J, Lamb C, Lightowlers S. Cancer and climate change: the environmental impact of cancer care. Lancet Oncol. 2021 Feb;22(2):e38. doi: 10.1016/S1470-2045(20)30740-3. No abstract available. PubMed 33539745 ↗
  • Vicedo-Cabrera AM, Melen E, Forastiere F, Gehring U, Katsouyanni K, Yorgancioglu A, Ulrik CS, Hansen K, Powell P, Ward B, Hoffmann B, Andersen ZJ. Climate change and respiratory health: a European Respiratory Society position statement. Eur Respir J. 2023 Sep 3;62(2):2201960. doi: 10.1183/13993003.01960-2022. Print 2023 Aug. No abstract available. PubMed 37661094 ↗
  • Jiang Y, Hu J, Peng L, Li H, Ji JS, Fang W, Yan H, Chen J, Wang W, Xiang D, Su X, Yu B, Wang Y, Xu Y, Wang L, Li C, Chen Y, Zhao D, Kan H, Ge J, Huo Y, Chen R. Non-optimum temperature increases risk and burden of acute myocardial infarction onset: A nationwide case-crossover study at hourly level in 324 Chinese cities. EClinicalMedicine. 2022 Jun 17;50:101501. doi: 10.1016/j.eclinm.2022.101501. eCollection 2022 Aug. PubMed 35755601 ↗
  • Khraishah H, Alahmad B, Ostergard RL Jr, AlAshqar A, Albaghdadi M, Vellanki N, Chowdhury MM, Al-Kindi SG, Zanobetti A, Gasparrini A, Rajagopalan S. Climate change and cardiovascular disease: implications for global health. Nat Rev Cardiol. 2022 Dec;19(12):798-812. doi: 10.1038/s41569-022-00720-x. Epub 2022 Jun 7. PubMed 35672485 ↗
  • Zhang S, Zhang C, Cai W, Bai Y, Callaghan M, Chang N, Chen B, Chen H, Cheng L, Dai H, Dai X, Fan W, Fang X, Gao T, Geng Y, Guan D, Hu Y, Hua J, Huang C, Huang H, Huang J, Huang X, Ji JS, Jiang Q, Jiang X, Kiesewetter G, Li T, Liang L, Lin B, Lin H, Liu H, Liu Q, Liu X, Liu Z, Liu Z, Liu Y, Lu B, Lu C, Luo Z, Ma W, Mi Z, Ren C, Romanello M, Shen J, Su J, Sun Y, Sun X, Tang X, Walawender M, Wang C, Wang Q, Wang R, Warnecke L, Wei W, Wen S, Xie Y, Xiong H, Xu B, Yan Y, Yang X, Yao F, Yu L, Yuan J, Zeng Y, Zhang J, Zhang L, Zhang R, Zhang S, Zhang S, Zhao M, Zheng D, Zhou H, Zhou J, Zhou Z, Luo Y, Gong P. The 2023 China report of the Lancet Countdown on health and climate change: taking stock for a thriving future. Lancet Public Health. 2023 Dec;8(12):e978-e995. doi: 10.1016/S2468-2667(23)00245-1. Epub 2023 Nov 18. No abstract available. PubMed 37989307 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 20, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07124949
Lead sponsor
Jinwei Tian
Collaborators
Hainan Medical College
Responsible party
Jinwei Tian (Doctor, Harbin Medical University) — Sponsor-investigator
First posted
Aug 15, 2025
Start date
Jul 23, 2025
Primary completion
Apr 30, 2030 (estimated)
Completion
Apr 30, 2030 (estimated)
Last update
Aug 20, 2025

Study contacts

Jinwei Tian, Ph.D.
Contact
tianjinwei@hrbmu.edu.cn
+86 151 1451 8233
Cheng Jin, Ph.D.
Contact
jinch@hrbmu.edu.cn
+86 153 13298872

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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