The Chinese Longitudinal Healthy Longevity Survey
Initiatives
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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
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- Individuals
Number of participants
- Number of participants
- 13,344
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
Chinese 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
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65
- Newborns
- Twins
- Countries
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- China
- Ethnic Origin
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- Health Status
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Recruitment
- Sources of recruitment
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- 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
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2008
- End Date
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2014
- Data sources
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Geospatial technology
- Remote sensing (RS)
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Geospatial technology