Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module

K. Hamrick
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引用次数: 5

Abstract

The ERS Eating and Health Module, a supplement to the American Time Use Survey (ATUS), included questions on height and weight so that respondents’ Body Mass Index (BMI — a measure of body fat based on height and weight) could be calculated and analyzed with ATUS time-use data in obesity research. Some respondents did not report height and/or weight, and BMIs could not be calculated for them. Analyses focusing on correlations between BMIs and time use could be biased if respondents who did not report height and/or weight differ significantly in other observable characteristics from the rest of the survey respondents. However, findings reveal that any nonresponse bias associated with the height and weight data appears to be small and would not affect future analyses of BMIs and time-use pattern correlations.
饮食与健康模块中体重指数数据的无反应偏倚分析
ERS饮食与健康模块是美国时间使用调查(ATUS)的补充,包含了身高和体重的问题,这样受访者的身体质量指数(BMI——一种基于身高和体重的身体脂肪测量)就可以用ATUS的时间使用数据来计算和分析肥胖研究。一些受访者没有报告身高和/或体重,bmi也无法计算。如果没有报告身高和/或体重的受访者在其他可观察特征上与其他受访者存在显著差异,那么关注bmi和时间使用之间相关性的分析可能存在偏差。然而,研究结果显示,与身高和体重数据相关的任何非反应偏差似乎都很小,不会影响未来对bmi和时间使用模式相关性的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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