Biomarkers as precursors of disability
Biomarkers as precursors of disability
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DOI：
10.1016/j.ehb.2019.100814
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发表时间：
2020-01-01
影响因子：
2.5
通讯作者：
Pudney, Stephen
中科院分区：
文献类型：
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作者：
Davillas, Apostolos;Pudney, Stephen
除了自我报告的健康评估外，一些社会调查现在还收集来自生物样本的身体测量和标记。这种信息的收集成本很高；它在医学流行病学中的价值已经明确，但它对社会科学研究的潜在贡献还不太确定。我们的重点是残疾，它是由生物过程造成的，但根据其对社会功能和福祉的影响来定义。使用英国理解协会小组调查第2和第3波的数据作为我们的基线，我们估计了未来2-4年残疾的预测模型，除了自评健康(SAH)和其他社会经济协变量外，还使用了广泛的生物标记物。我们发现，除了自我评估健康的强大预测能力之外，大量收集的护士和基于血液的生物标记物在数量上和统计上具有显著的预测作用。我们还应用了潜在变量模型，考虑了观察到的残疾结局的纵向性质以及在SAH和生物标记物中的测量误差。尽管SAH作为一项总结性指标表现良好，但它作为残疾的领先指标也有不足之处，因为我们发现它在对某些生物途径过度或不敏感的意义上存在偏见。(C)2019年提交人。爱思唯尔出版公司(Elsevier B.V.)
Some social surveys now collect physical measurements and markers derived from biological samples, in addition to self-reported health assessments. This information is expensive to collect; its value in medical epidemiology has been clearly established, but its potential contribution to social science research is less certain. We focused on disability, which results from biological processes but is defined in terms of its implications for social functioning and wellbeing. Using data from waves 2 and 3 of the UK Understanding Society panel survey as our baseline, we estimated predictive models for disability 2-4 years ahead, using a wide range of biomarkers in addition to self-assessed health (SAH) and other socio-economic covariates. We found a quantitatively and statistically significant predictive role for a large set of nurse collected and blood-based biomarkers, over and above the strong predictive power of self-assessed health. We also applied a latent variable model accounting for the longitudinal nature of observed disability outcomes and measurement error in in SAH and biomarkers. Although SAH performed well as a summary measure, it has shortcomings as a leading indicator of disability, since we found it to be biased in the sense of over- or under-sensitivity to certain biological pathways. (C) 2019 The Authors. Published by Elsevier B.V.