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Taizhou Study of Liver Diseases (T-SOLID)
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Sample details

T-SOLID is a prospective cohort study based in Taizhou city, China, with an aim to investigate genetic, metabolic, behavioral, and environmental risk factors, and their interplay, for chronic liver diseases (CLDs). Participants were recruited from the Taizhou Longitudinal Study (TZL), and were enrolled from 2018 to 2021. By the end of 2021, a total of over 28,000 participants were enrolled. Passive, registry-based follow-ups are planned to be performed biennially, and patients who regularly consume alcohol and/or are at high risk for CLD are planned to be actively visited every three years. The first, and most recent sweep, was completed in 2021. These follow-ups are ongoing and are planned to be maintained for more than 40 years.

Study design
Cohort

Number of participants at first data collection

28,623 (participants)

Age at first data collection

40 - 70 years (participants)

Participant year of birth

1948 - 1981 (participants)

Participant sex
All

Representative sample at baseline?
Citizens living in Taizhou City, China, that are aged 40 to 70 years old.

Sample features

Middle-aged people
Older and elderly people
Population-based sample
Dataset details

Country

China

Year of first data collection

2018

Primary Institutions

Fudan University (复旦大学)

Links

fdtzihs.org.cn/dljs

tz.fdtzihs-wj.org.cn/tzcohort/shared-portal/

Profile paper DOI

doi.org/10.1093/ije/dyaf030

Funders

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

Science and Technology Innovation 2030

Shanghai Municipal Science and Technology Major Project

Shanghai Rising-Star Program

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • 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
  • Existing research data
  • Healthcare data
  • Mortality data
  • Other government data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Diet and nutrition
    Disease risk
    Environmental exposures
    Genetic factors
    Health and wellbeing
    Healthcare services
    Hepatitis
    Liver disease
    Liver health
    Population-based
    Prospective
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