Validity of self-reported BMI in older adults and an adjustment model

Validity of self-reported BMI in older adults and an adjustment model
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老年人自我报告 BMI 的有效性和调整模型

DOI:
10.1007/s10389-014-0619-6
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发表时间:
2014
影响因子:
4.4
通讯作者:
Becher H
Becher H
中科院分区:
医学4区
文献类型:
--
作者:
Vuksanović M;Safer A;Palm F. Stieglbauer G;Grau AJ;Becher H

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Study objectivesTo determine reporting bias of self-reported vs. measured anthropometrics(body weight,height,body mass index,BMI),and to adjust self-reported BMI regarding the bias.MethodsWe compared self-reported with measured anthropometrics using 659 control persons(age mean 68; range 37 to 80 years)from a case-control stroke study. Bland-Altman方法检查了自我报告值和测量值之间的一致性。线性模型被用来纠正依赖于性别,年龄和自我报告的BMI. ResultsUnderreporting的体重和身高overreporting的偏差被发现。平均而言,这导致较低的自我报告的BMI由1.0 kg/m2的男性,1.2 kg/m2的女性(P< 0.001)。自我报告的BMI的偏差校正来自自我报告的BMI(p< 0.001),年龄(p<0.001),年龄-BMI相互作用(p< 0.001)和性别(p< 0.05)。低估正确的BMI导致低估超重患病率,自我报告值的敏感性相对较低(88%)。我们的估计应该重新校准,如果适用于其他study.ConclusionSelf-reported人体测量措施系统偏差,尽管与测量值的相关性很高。校正消除了平均偏差并提高了准确性。
Study objectivesTo determine reporting bias of self-reported vs. measured anthropometrics (body weight, height, body mass index, BMI), and to adjust self-reported BMI regarding the bias.MethodsWe compared self-reported with measured anthropometrics utilizing 659 control persons (age mean 68; range 37 to 80 years) from a case-control stroke study. The Bland-Altman approach examined the agreement between self-reported and measured values. A linear model was applied to correct the bias dependent on sex, age and self-reported BMI.ResultsUnder-reporting of weight and over-reporting of height was found. On average, this resulted in lower self-reported BMIs by 1.0 kg/m2in men, 1.2 kg/m2in women (p< 0.001). Bias correction of self-reported BMIs was derived from self-reported BMI (p< 0.001), age (p< 0.001), age-BMI interaction (p< 0.001) and sex (p< 0.05). Under-estimation of correct BMI resulted in the under-estimation of an overweight prevalence, with relatively low sensitivity regarding self-reported values (88 %). Our estimates should be recalibrated, if applied to other studies.ConclusionSelf-reported anthropometric measures are systematically biased despite high correlations with measured values. A correction removes the average bias and improves accuracy.
DOI: --
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期刊:
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