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Considering the Inclusion of Metabolic and Cardiovascular Markers in the Panel Study of Income Dynamics

机译:在收入动态的面板研究中考虑将代谢和心血管指标包括在内

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摘要

The inclusion of biomarkers in social surveys such as the Panel Study of Income Dynamics (PSID) has the potential to answer many elusive questions in social science and public health, including the much-studied relationship between socioeconomic status and health. This article reviews the potential inclusion of biomarkers of cardiovascular and metabolic risk in the PSID. We first discuss the considerable analytical benefits of adding these biomarkers to the PSID, including the exploration of life course hypotheses and the potential to test causal relationships between the social environment and biological systems. Next, we review evidence on the reliability of self-reports of cardiovascular and metabolic risk factors, concluding that the potential bias from relying on self-reports may be substantial. Based on evidence of biological importance as well as practical considerations of ease of in-home collection, our first tier of recommended biomarkers includes measured height, weight, waist and hip circumference, diastolic and systolic blood pressure, resting heart rate, total and high-density lipoprotein (HDL) cholesterol, glycosylated hemoglobin (HbAlc), C-reactive protein (CRP), and cystatin C. Additional markers of secondary priority are also discussed.
机译:在诸如“收入动态专题研究”(PSID)之类的社会调查中纳入生物标记物,有可能回答社会科学和公共卫生领域许多难以捉摸的问题,包括社会经济地位与健康之间的广泛研究关系。本文回顾了PSID中可能包含的心血管和代谢风险生物标志物。我们首先讨论将这些生物标记物添加到PSID所带来的可观分析益处,包括探索生命历程假说以及测试社会环境与生物系统之间因果关系的潜力。接下来,我们回顾了有关心血管和代谢危险因素自我报告可靠性的证据,认为依赖自我报告的潜在偏倚可能很大。根据生物学重要性的证据以及便于在家采集的实际考虑,我们推荐的第一类生物标记包括测量的身高,体重,腰围和臀围,舒张压和收缩压,静息心率,总和高密度脂蛋白(HDL)胆固醇,糖基化血红蛋白(HbAlc),C反应蛋白(CRP)和胱抑素C。还讨论了次要优先级的其他标记。

著录项

  • 来源
    《Social Biology》 |2009年第2期|p.140-158|共19页
  • 作者单位

    Princeton University, Princeton, New Jersey;

    School of Public Health, City University of New York (CUNY), Institute for Demographic Research (CIDR), New York, New York;

  • 收录信息 美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:45:05

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