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China Health and Nutrition Survey (CHNS)
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Sample details

The CHNS examines the effects of health, nutrition, and family planning policies and programs on Chinese society. The study recruited households from Liaoning, Shandong, Henan, Jiangsu, Hubei, Hunan, Guizhou, and Guangxi provinces in China. At baseline data collection in 1989, over 15,900 individuals from 3,795 households were included. In 1997, Heilongjiang province was added to the study. In 2011, Beijing, Chongqing, and Shanghai mega cities were added as study sites. In 2015, Shaanxi, Yunnan, and Zhejiang provinces were added as study sites. As of 2015, over 20,900 individuals from 7,319 household were included in the study.

Study design
Household panel

Number of participants at first data collection

20,914 (participants as of 2015)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Households and household members
Dataset details

Country

China

Year of first data collection

1989

Primary Institutions

Chinese Center for Disease Control and Prevention (中国疾病预防控制中心, CCDC)

National Institute for Nutrition and Health (NINH)

University of North Carolina

Links

cpc.unc.edu/projects/china

data.cpc.unc.edu/projects/7/view

Profile paper DOI

doi.org/10.1093/ije/dyp322

Funders

Carolina Population Center (CPC)

Chinese Center for Disease Control and Prevention (中国疾病预防控制中心 ,CCDC)

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

Ford Foundation

National Institute of Nutrition and Food Safety

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • 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
  • Geographic, spatial & environmental data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Ageing
    Biological samples/biospecimens
    Community
    Diet and nutrition
    Economics
    Health and wellbeing
    Marriage
    Parenting and family
    Work and employment
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