Literature DB >> 31364691

Venous Blood-Based Biomarkers in the China Health and Retirement Longitudinal Study: Rationale, Design, and Results From the 2015 Wave.

Xinxin Chen1, Eileen Crimmins2, Peifeng Perry Hu3, Jung Ki Kim2, Qinqin Meng1, John Strauss4, Yafeng Wang1, Junxia Zeng5, Yuan Zhang6, Yaohui Zhao7.   

Abstract

Blood biomarkers provide critical information about the health of older populations, especially in large developing countries where self-reports of health are often inaccurate due to lack of access to health care. However, it is very difficult to collect blood samples in representative population surveys in such countries. The China Health and Retirement Longitudinal Study (CHARLS), a nationally representative study of middle-aged and older Chinese, represents one of the first efforts to include blood biomarkers in a nationally representative survey of China. In the 2015 wave of CHARLS, 13,013 respondents located in 150 counties around China donated whole blood, which was assayed on a range of indicators. Here we describe the process of the sample collection, transportation, storage, and analysis and present basic statistics.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  CHARLS; aging; biomarkers; study design

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Year:  2019        PMID: 31364691      PMCID: PMC6825825          DOI: 10.1093/aje/kwz170

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  7 in total

1.  Cohort profile: the China Health and Retirement Longitudinal Study (CHARLS).

Authors:  Yaohui Zhao; Yisong Hu; James P Smith; John Strauss; Gonghuan Yang
Journal:  Int J Epidemiol       Date:  2012-12-12       Impact factor: 7.196

2.  Prevalence, diagnosis, and management of diabetes mellitus among older Chinese: results from the China Health and Retirement Longitudinal Study.

Authors:  Yaohui Zhao; Eileen M Crimmins; Peifeng Hu; Yang Shen; James P Smith; John Strauss; Yafeng Wang; Yuan Zhang
Journal:  Int J Public Health       Date:  2016-01-11       Impact factor: 3.380

3.  Trends in Prevalence of Chronic Kidney Disease in the United States.

Authors:  Daniel Murphy; Charles E McCulloch; Feng Lin; Tanushree Banerjee; Jennifer L Bragg-Gresham; Mark S Eberhardt; Hal Morgenstern; Meda E Pavkov; Rajiv Saran; Neil R Powe; Chi-Yuan Hsu
Journal:  Ann Intern Med       Date:  2016-08-02       Impact factor: 25.391

4.  Socioeconomic status and C-reactive protein levels in the US population: NHANES IV.

Authors:  Dawn E Alley; Teresa E Seeman; Jung Ki Kim; Arun Karlamangla; Peifeng Hu; Eileen M Crimmins
Journal:  Brain Behav Immun       Date:  2005-12-02       Impact factor: 7.217

5.  The prevalence, awareness, treatment and control of dyslipidemia among adults in China.

Authors:  Ling Pan; Zhenhua Yang; Yue Wu; Rui-Xing Yin; Yunhua Liao; Jinwei Wang; Bixia Gao; Luxia Zhang
Journal:  Atherosclerosis       Date:  2016-02-27       Impact factor: 5.162

6.  Recent trends in the prevalence of type 2 diabetes and the association with abdominal obesity lead to growing health disparities in the USA: An analysis of the NHANES surveys from 1999 to 2014.

Authors:  Herve Caspard; Serge Jabbour; Niklas Hammar; Peter Fenici; John J Sheehan; Mikhail Kosiborod
Journal:  Diabetes Obes Metab       Date:  2017-12-01       Impact factor: 6.577

7.  Changing health in China: re-evaluating the epidemiological transition model.

Authors:  Ian G Cook; Trevor J B Dummer
Journal:  Health Policy       Date:  2004-03       Impact factor: 2.980

  7 in total
  31 in total

1.  Metabolic syndrome predicts incident disability and functional decline among Chinese older adults: results from the China Health and Retirement Longitudinal Study.

Authors:  Quan Zhang; Yi Wang; Nan Yu; Hua Ding; Danyu Li; Xinyi Zhao
Journal:  Aging Clin Exp Res       Date:  2021-03-20       Impact factor: 3.636

2.  The association between healthy aging index and trajectories of disability: a population-based cohort study.

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3.  Contribution of life course circumstances to the acceleration of phenotypic and functional aging: A retrospective study.

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Journal:  EClinicalMedicine       Date:  2022-07-10

4.  Association between recovery/occurrence of metabolic syndrome and rapid estimated glomerular filtration rate decline in middle-aged and older populations: evidence from the China Health and Retirement Longitudinal Study.

Authors:  Peijia Liu; Leile Tang; Jia Fang; Chaojin Chen; Xun Liu
Journal:  BMJ Open       Date:  2022-10-19       Impact factor: 3.006

5.  The Framingham risk score is associated with incident frailty, or is it?

Authors:  Hui Shi; Mei-Ling Ge; Birong Dong; Qian-Li Xue
Journal:  BMC Geriatr       Date:  2021-07-31       Impact factor: 3.921

6.  Associations of long-term exposure to ambient nitrogen dioxide with indicators of diabetes and dyslipidemia in China: A nationwide analysis.

Authors:  Qingli Zhang; Cong Liu; Yafeng Wang; Jinquan Gong; Gewei Wang; Wenzhen Ge; Renjie Chen; Xia Meng; Yaohui Zhao; Haidong Kan
Journal:  Chemosphere       Date:  2020-10-24       Impact factor: 7.086

7.  Normalized Creatinine-to-Cystatin C Ratio and Risk of Diabetes in Middle-Aged and Older Adults: The China Health and Retirement Longitudinal Study.

Authors:  Shanhu Qiu; Xue Cai; Bo Xie; Yang Yuan; Zilin Sun; Tongzhi Wu
Journal:  Diabetes Metab J       Date:  2022-03-07       Impact factor: 5.893

8.  Comparison of self-reports and biomedical measurements on hypertension and diabetes among older adults in China.

Authors:  Donghong Xie; Jiwen Wang
Journal:  BMC Public Health       Date:  2020-11-07       Impact factor: 3.295

9.  Daytime Napping and Nighttime Sleep Duration with Incident Diabetes Mellitus: A Cohort Study in Chinese Older Adults.

Authors:  Li Lin; Ciyong Lu; Weiqing Chen; Vivian Yawei Guo
Journal:  Int J Environ Res Public Health       Date:  2021-05-09       Impact factor: 3.390

10.  Anemia and Kidney Function Decline among the Middle-Aged and Elderly in China: A Population-Based National Longitudinal Study.

Authors:  Chao Yang; Qinqin Meng; Huaiyu Wang; Yafeng Wang; Zaiming Su; Lili Liu; Wenwen Liu; Guilan Kong; Luxia Zhang; Yaohui Zhao; Ming-Hui Zhao
Journal:  Biomed Res Int       Date:  2020-10-05       Impact factor: 3.411

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