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SSM Popul Health. 2017 Jul 13;3:577-585. doi: 10.1016/j.ssmph.2017.07.003. eCollection 2017 Dec.

Incorporating biomarkers into the study of socio-economic status and health among older adults in China.

SSM - population health

Melanie Sereny Brasher, Linda K George, Xiaoming Shi, Zhaoxue Yin, Yi Zeng

Affiliations

  1. University of Rhode Island, Department of Sociology and Anthropology/Department of Human Development and Family Studies, 10 Chaffee Rd, Kingston, RI, USA.
  2. Duke University, Department of Sociology, 417 Chapel Dr., Durham, NC 27708, USA.
  3. Center for the Study of Aging and Human Development and the Geriatric Division of School of Medicine, Duke University, Durham, NC, USA.
  4. National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, PR China.
  5. Division of Non-communicable Diseases Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China.
  6. Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China.

PMID: 29349247 PMCID: PMC5769064 DOI: 10.1016/j.ssmph.2017.07.003

Abstract

The social gradient in health - that individuals with lower SES have worse health than those with higher SES- is welldocumented using self-reports of health in more developed countries. Less is known about the relationship between SES and health biomarkers among older adults residing in less developed countries. We use data from the ChineseLongitudinal Healthy Longevity Survey (CLHLS) longevity areas sub-sample to examine the social gradient in healthamong rural young-old and oldest-old adults (N=2,121). Our health indicators include individual biomarkers, metabolic syndrome, and self-reports of health. We found a largely positive relationship between SES and health. SES was more consistently associated with individual biomarkers among the oldest-old than the young-old, providing evidence for cumulative disadvantage. We discuss the implications of our findings for older adults who have lived through different social, economic, and health regimes.

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