Individual Study / CLHLS

The Chinese Longitudinal Healthy Longevity Survey

The Chinese Longitudinal Healthy Longevity Survey

Initiatives -
The hazard ratio (HR) was estimated for all-cause mortality from long-term exposure to PM2·5 in a well established Chinese cohort of older adults. Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
Start Year
2008
End Year
2014
Funding
National Natural Science Foundation of China, National High-Level Talents Special Support Plan of China for Young Talents, US National Aeronautics and Space Administration, and the Columbia University Global Policy Initiative.

Design

Study design
Population cohort
Follow Up
In the study, 13 344 individuals had complete data for all timepoints (2008, 2011, and 2014), yielding follow-up data for 49 440 person-years.

Marker Paper

Li T, Zhang Y, Wang J, et al. All-cause mortality risk associated with long-term exposure to ambient PM2·5 in China: a cohort study. Lancet Public Health. 2018;3(10):e470‐e477. doi:10.1016/S2468-2667(18)30144-0

PUBMED 30314593

Recruitment

Sources of Recruitment
  • Individuals

Number of participants

Number of participants
13,344
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

Population

The Chinese Longitudinal Healthy Longevity Survey (CLHLS) is a prospective cohort study of men and women aged 65 years and older enrolled in 2008 and followed up through 2014 for mortality events.
Selection Criteria
Minimum age
65
Newborns
Twins
Countries
  • China
Ethnic Origin
Health Status

Recruitment

Sources of recruitment
  • General population

Number of participants

Number of participants
13,344
Number of participants with biosamples
Data Collection Event
Inviduals for whom residential locations were available in 2008 for linkage to 1 km grids of PM2·5 concentrations, derived from satellite remote sensing were studiet.
Start Date
2008
End Date
2014
Data sources
  • Geospatial technology
    • Remote sensing (RS)