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1976 年至 2005 年自我报告肥胖的偏差:加拿大-美国比较。

The bias in self-reported obesity from 1976 to 2005: a Canada-US comparison.

机构信息

Health Measures Analysis Section, Health Information and Research Division, Statistics Canada, Ottawa, Ontario, Canada.

出版信息

Obesity (Silver Spring). 2010 Feb;18(2):354-61. doi: 10.1038/oby.2009.206. Epub 2009 Jun 25.

Abstract

The objective of this study was to determine whether the bias in self-reported estimates of obesity has changed over time and followed different patterns in Canada and the United States. Using age-standardized data from three waves of the National Health and Nutrition Examination Survey (NHANES) in the United States and the Canadian Community Health Survey (CCHS) and the Canadian Heart Health Survey (CHHS) in Canada, discrepancies were compared between reported and measured estimates of height, weight, and obesity (based on the BMI) from 1976 to 2005. Results indicated that obesity increased in both countries, but rates were higher in the United States. The discrepancy between self-reported and measured obesity was small in the United States with reported data underestimating measured prevalence by about 3%; this stayed relatively constant over time. In Canada, the discrepancy was large and doubled in the past decade (from 4 to 8%). In the United States, self-reported data may be more accurate in monitoring changes in obesity over time, as the estimates have consistently remained about 3% below the measured estimates, whereas in Canada, monitoring obesity based solely on self-reported height and weight may produce inaccurate estimates because of the increasing discrepancy between self-reported and measured data.

摘要

本研究旨在确定在加拿大和美国,自我报告的肥胖估计值的偏差是否随时间发生变化,并呈现出不同的模式。利用来自美国三次全国健康和营养检查调查(NHANES)以及加拿大社区健康调查(CCHS)和加拿大心脏健康调查(CHHS)的年龄标准化数据,比较了 1976 年至 2005 年期间报告的和测量的身高、体重和肥胖(基于 BMI)的估计值之间的差异。结果表明,两个国家的肥胖率都有所上升,但美国的比率更高。在美国,自我报告和测量的肥胖率之间的差异较小,报告数据低估了约 3%的实际患病率;这一比例在过去十年中相对稳定。在加拿大,差异较大,在过去十年中翻了一番(从 4%增加到 8%)。在美国,自我报告的数据可能更能准确监测肥胖随时间的变化,因为估计值始终比测量值低约 3%,而在加拿大,仅基于自我报告的身高和体重监测肥胖可能会产生不准确的估计,因为自我报告和测量数据之间的差异越来越大。

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