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Diverse Life-Course Cohort Study (DLCC)
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Sample details

The DLCC study aims to contribute to knowledge on the determinants of noncommunicable chronic diseases in China. Initially, the study included close to 115,000 participants from the Beijing, Tianjin, and Hebei (BHT) areas. In 2021, an additional 9,866 participants from Guangdong and Hebei provinces joined the study. Participants were recruited through several sub-cohorts, each targeting specific life stages and health factors: the Early-Life BTH cohort, BTH Medical Examination cohort, Cohort on Chronic Disease in Community Natural Population, Occupational Cohort, and the Chaoshan-Hakka-Baoding General Population Cohort. Follow-up assessments have been conducted, with one completed by the end of 2021, presenting the changes in health over time.

Study design
Cohort - open, Cohort - birth, Biobank

Number of participants at first data collection

124,716 (participants)

Recruitment is ongoing

Age at first data collection

0 - 93 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Children and young people
Newborns, infants and babies
Older and elderly people
Dataset details

Country

China

Year of first data collection

2017

Primary Institutions

Beijing Hepingli Hospital (北京市和平里医院)

Beijing Physical Examination Center (北京市体检中心)

Capital Institute of Pediatrics (首都儿科研究所)

Capital Medical University (首都医科大学, CCMU)

Chaoyang District Center for Disease Control and Prevention (疾病预防控制中心, CDC)

Links
No website available

Profile paper DOI

doi.org/10.1007/s10654-022-00894-1

Funders

Chinese Academy of Medical Sciences Innovation Fund for Medical Science (CAMS IFMS)

National Key Research and Development Program of China (NKRDP, 国家重点研发计划)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • 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
Features

Engagement

  • None
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Cardiometabolic risk
    Cardiovascular health and disease
    Chronic illness
    Environmental factors
    Gene-environment interactions (GxE)
    Noncommunicable diseases
    Population health
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