Monitoring Social Change: Health, Reproduction, Aging [China Health and Nutrition Study]

The China Health and Nutrition Survey (CHNS) is a multipurpose panel survey following more than 34,000 individuals in 288 communities throughout China across nine exams from 1989 to 2011. The in-depth survey has collected a diverse set of sociodemographic, economic, and health data. In the 2009 survey biomarkers derived from fasting blood on all respondents aged 7 years and older, toenail biomarkers on all respondents aged 2 years and older, and genome-wide association (GWA) data on a subsample of 9,600 respondents were obtained. The 20-year span of coverage and the geographic scope provide substantial temporal and spatial variability across contextual, household, and individual levels. This project further enhances the value of this unique survey by adding a follow-up survey to collect a second wave of fasting blood and other biomarkers to provide incidence data across cardio metabolic, toxicological and other outcomes, and to complete GWA on the remaining 9,000 individuals with blood samples and in all children aged 0 to 7 years using buccal swabs. The collection of all sociodemographic data continues. Biomarker analysis is being conducted on the fasting blood samples to replicate the set of 26 biomarkers (CVD, nutritional, inflammatory markers); extract and store DNA from all individuals’ buffy coat and buccal swab samples; blood spots for scholarly community use; and work with the project’s Chinese colleagues to get GWA and toenail analyses funded for the CHNS2014 specimens. This encompasses 37 trace element biomarkers, including micronutrients and chemical pollutants (e.g, arsenic, lead), and GWA for any individuals without GWA data. A blood spot and biomarker data base will be established for future users. The spatial data collection allows users to propose further spatial data collection and/or linkage with extant data with CHNS communities. The resulting data resource will be unparalleled. The second wave of biomarker data will provide data to examine incidence in a variety of cardiovascular-, nutrition-, and toxicological-related outcomes, coupled with continued heterogeneity in social, economic, and health status across time in modernizing China. The multilevel data structure allows clustered research at the individual-, household-, community-, and province-levels.

Principal Investigator: Barry M. Popkin

CPC Fellow Investigators: Linda S. Adair , Michael E. Emch , Penny Gordon-Larsen , Shu Wen Ng

Other Investigators: Shufa Du, Fengying Zhai (Chinese Center for Disease Control, Beijing, China), Karen Mohlke, Ka He, Huijun Wang (Chinese Center for Disease Control, Beijing, China)

Funding Source: NIH NICHD

Grant Number: 2-R01-HD030880

Funding Period: 8/15/1994 - 5/31/2019

Primary Research Area: Demography,Population Health

Affiliated Research Project:

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