首页> 外文期刊>Obesity facts : the European journal of obesity. >Development and Validation of Correction Formulas for Self-Reported Height and Weight to Estimate BMI in Adolescents. Results from the KiGGS Study
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Development and Validation of Correction Formulas for Self-Reported Height and Weight to Estimate BMI in Adolescents. Results from the KiGGS Study

机译:自我报告的估计身高和体重的身高和体重的校正公式的开发和验证。 KiGGS研究的结果

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摘要

Objective: The use of reported instead of measured height and weight induces a bias in prevalence rates for overweight and obesity. Therefore, correction formulas are necessary. Methods: Self-reported and measured height and weight were available from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) baseline study (20032006) from 3,468 adolescents aged 11-17 years. With regression analyses, correction formulas for height and weight were developed. Cross-validation was conducted in order to validate and compare the formulas. Corrected BMI was calculated, and corrected prevalence rates were estimated. Sensitivity, specificity, and predictive values for overweight and obesity were calculated. Results: Through the correction procedure, the mean differences between reported and measured height and weight become remarkably smaller and thus the estimated prevalence rates more accurate. The corrected proportions for overweight and obesity are less under-reported, while the corrected proportions for underweight are less over-reported. Sensitivity for overweight and obesity increased after correction. Specificity remained high. Conclusion: The validation process showed that the correction formulas are an appropriate tool to correct self-reports on an individual level in order to estimate corrected prevalence rates of overweight and obesity in adolescents for studies which have collected self-reports only. (C) 2015 S. Karger GmbH, Freiburg
机译:目的:使用报告的身高和体重代替测量的身高会导致超重和肥胖的患病率出现偏差。因此,校正公式是必要的。方法:自我报告和测量的身高和体重可从3468例11-17岁的青少年进行的德国青少年儿童健康访谈和检查调查(KiGGS)基线研究(20032006)中获得。通过回归分析,开发了身高和体重的校正公式。进行交叉验证以验证和比较公式。计算校正后的BMI,并估算校正后的患病率。计算超重和肥胖的敏感性,特异性和预测值。结果:通过校正程序,报告的和测得的身高和体重之间的平均差异明显变小,因此估计的患病率更加准确。校正后的超重和肥胖比例较少被低估,而校正后的低体重比例则较少被高估。校正后,对超重和肥胖的敏感性增加。特异性仍然很高。结论:验证过程表明,对于仅收集自我报告的研究,校正公式是在个体水平上校正自我报告的合适工具,以估计青少年超重和肥胖的校正患病率。 (C)2015 S.Karger GmbH,弗赖堡

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