Atlas Logo
Taizhou Longitudinal Study (TZL)
BACK
Sample details

TZL explores environmental and genetic risk factors for chronic diseases in a population of adults from Taizhou City in Jiangsu Province, China. Participants aged 30 to 80 and living in the Taizhou districts of Hailin, Gaogang, and Taixing were recruited between 2007 and 2011. Over 120,000 participants participated in the baseline data collection. Follow-up assessments are conducted every three years to monitor participants' health outcomes and lifestyle changes. Several sub-studies have been undertaken on the cohort, focused on neuroimaging and liver disease.

Study design
Cohort

Number of participants at first data collection

123,115 (participants)

Age at first data collection

30 - 80 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Older and elderly people
Dataset details

Country

China

Year of first data collection

2007

Primary Institutions

Fudan University (复旦大学)

Karolinska Institute (Karolinska Institutet, KI)

Shandong University (山东大学, SDU)

Taizhou Institute of Health Sciences (台州学院)

Links

fdtzihs.org.cn/dljs

Funders

National Science Fund for Distinguished Young Scholars (国家自然科学基金委员会, NSFC)

Fudan University (复旦大学, FDU)

Jiangsu Provincial Government

Ministry of Science and Technology (中华人民共和国科学技术部)

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

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • 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
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Healthcare data
  • Other government data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Chronic illness
    Diet and nutrition
    Environmental exposures
    Genetics
    Life satisfaction
    Lifestyle
    Metabolomics
    Metagenomics
    Occupational exposure
    Physical activity and exercise
    Sub-studies
    Contact us

    |

    FAQS

    |

    Privacy

    |

    © 2024 Louise Arseneault

    Platform by Delosis