将与肥胖和超重相关的生物测量指标添加到收入动态追踪调查中。
Adding biomeasures relating to fatness and obesity to the Panel Study of Income Dynamics.
作者信息
Burkhauser Richard V, Cawley John
机构信息
Department of Policy Analysis and Management, Cornell University, Ithaca, New York 14853-4401, USA.
出版信息
Biodemography Soc Biol. 2009;55(2):118-39. doi: 10.1080/19485560903382395.
The pace of research on the causes and consequences of obesity has increased dramatically since the late 1990s. However, a great chasm exists between the high-quality measurements of fatness used in the medical literature and the mostly self-reported height and weight data found in social science surveys. This article discusses the scientific value of including more accurate measures of fatness in the Panel Study of Income Dynamics (PSID). It describes why fatness and obesity are of interest to PSID users, the concepts they measure, the strengths and weaknesses of alternative biomeasures for these concepts, the value added of including each in the PSID, and their synergies with the PSID structure. Although no single measure of fatness is ideal for every situation, given scarce PSID resources we recommend adding waist circumference, percentage of body fat, total body fat, and fat free mass through a method such as bioelectrical impedance analysis, as well as determining genetic predisposition to obesity.
自20世纪90年代末以来，关于肥胖成因及后果的研究步伐急剧加快。然而，医学文献中使用的高质量肥胖测量方法与社会科学调查中大多为自我报告的身高和体重数据之间存在巨大差距。本文讨论了在收入动态面板研究（PSID）中纳入更准确肥胖测量方法的科学价值。它阐述了为什么肥胖对PSID的用户来说是有意义的，它们所测量的概念，这些概念的替代生物测量方法的优缺点，将每种方法纳入PSID所带来的附加值，以及它们与PSID结构的协同作用。尽管没有一种单一的肥胖测量方法适用于所有情况，但鉴于PSID资源稀缺，我们建议通过生物电阻抗分析等方法增加腰围、体脂百分比、总体脂肪和去脂体重的测量，以及确定肥胖的遗传易感性。
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