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TRacing Etiology of Non-communicable Diseases (TREND)
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Sample details

The TREND study aims to investigate molecular characterization and deep phenotyping for chronic non-communicable diseases (NCDs), focusing on providing mechanistic insights with diagnostic, prognostic, and therapeutic implications. The study aims to recruit 20,000 residents 18 years and older of Ma'anshan in the south of Anhui province, China. The first phase took place from August to October 2023 and recruited over 3,000 participants by sampling households surrounding local health centres. Participants will be followed up annually by face-to-face or phone interviews, and additional interviews after the occurrence of any relevant event. Data, samples, and measurements collected during the recruitment phase are systematically recollected at 5, 10, 15, 20, 25, and 30 years after the baseline assessment. Passive follow-up involves collecting self-reports when participants visit the health centre to report events and the Ma'anshan health surveillance system, including data from disease and death registries.

Study design
Biobank, Cohort

Number of participants at first data collection

3,360 (participants, as of October 2023)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Households and household members
Older and elderly people
Population-based sample
Rural populations
Dataset details

Country

China

Year of first data collection

2023

Primary Institutions

Maastricht University (Universiteit Maastricht, UM)

Ma’anshan Center for Disease Control and Prevention

Nanjing Medical University (南京医科大学, NJMU)

Links
No website available

Profile paper DOI

doi.org/10.1007/s43657-024-00196-4

Funders

Fundamental Research Funds for the Central Universities

Health Commission of Anhui Province

Jiangsu Provincial Government

Nanjing Medical University (南京医科大学, NJMU)

National Natural Science Foundation of China (国家自然科学基金委员会, NSFC)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical environment assessment (e.g. pollution, mould)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Health and wellbeing
    Mental health
    Noncommunicable diseases
    Physical health
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