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Validity and predictors of BMI derived from self-reported height and weight among 11- to 17-year-old German adolescents from the KiGGS study

机译:KiGGS研究从11至17岁德国青少年自我报告的身高和体重得出的BMI有效性和预测因子

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Background For practical and financial reasons, self-reported instead of measured height and weight are often used. The aim of this study is to evaluate the validity of self-reports and to identify potential predictors of the validity of body mass index (BMI) derived from self-reported height and weight. Findings Self-reported and measured data were collected from a sub-sample (3,468 adolescents aged 11-17) from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). BMI was calculated from both reported and measured values, and these were compared in descriptive analyses. Linear regression models with BMI difference (self-reported minus measured) and logistic regression models with weight status misclassifications as dependent variables were calculated. Height was overestimated by 14- to 17-year-olds. Overall, boys and girls under-reported their weight. On average, BMI values calculated from self-reports were lower than those calculated from measured values. This underestimation of BMI led to a bias in the prevalence rates of under- and overweight which was stronger in girls than in boys. Based on self-reports, the prevalence was 9.7% for underweight and 15.1% for overweight. However, according to measured data the corresponding rates were 7.5% and 17.7%, respectively. Linear regression for BMI difference showed significant differences according to measured weight status: BMI was overestimated by underweight adolescents and underestimated by overweight adolescents. When weight status was excluded from the model, body perception was statistically significant: Adolescents who regarded themselves as 'too fat' underestimated their BMI to a greater extent. Symptoms of a potential eating disorder, sexual maturation, socio-economic status (SES), school type, migration background and parental overweight showed no association with the BMI difference, but parental overweight was a consistent predictor of the misclassification of weight status defined by self-reports. Conclusions The present findings demonstrate that the observed discrepancy between self-reported and measured height and weight leads to inaccurate estimates of the prevalence of under- and overweight when based on self-reports. The collection of body perception data and parents' height and weight is therefore recommended in addition to self-reports. Use of a correction formula seems reasonable in order to correct for differences between self-reported and measured data.
机译:背景技术出于实际和财务原因,经常使用自我报告而不是身高和体重的测量。这项研究的目的是评估自我报告的有效性,并确定从自我报告的身高和体重得出的体重指数(BMI)有效性的潜在预测因子。调查结果自我报告和测量的数据来自德国儿童和青少年健康面试和检查调查(KiGGS)的子样本(3,468名11-17岁的青少年)。根据报告的值和测量的值计算BMI,并在描述性分析中进行比较。计算了具有BMI差异(自我报告的减去测量值)的线性回归模型和以体重状态误分类为因变量的逻辑回归模型。身高被14至17岁的人高估了。总体而言,男孩和女孩的体重报告不足。平均而言,根据自我报告计算的BMI值低于根据测量值计算的BMI值。 BMI的这种低估导致体重过轻和偏低的患病率出现偏差,女孩的偏重于男孩。根据自我报告,体重不足的患病率为9.7%,体重超重的患病率为15.1%。但是,根据实测数据,相应的比率分别为7.5%和17.7%。 BMI差异的线性回归显示,根据测得的体重状况存在显着差异:体重过轻的青少年高估了BMI,而体重超重的青少年则低估了BMI。当从模型中排除体重状态时,身体知觉具有统计学意义:青少年认为自己“太胖”了,他们的BMI在很大程度上被低估了。潜在的饮食失调,性成熟,社会经济状况(SES),学校类型,移民背景和父母超重的症状与BMI差异无关,但父母超重是自我定义的体重状态错误分类的一致预测因子-报告。结论本研究结果表明,根据自我报告,自我报告的身高和体重与测得的身高和体重之间的差异导致对体重过轻和过重患病率的不准确估计。因此,除了自我报告外,建议收集身体感知数据以及父母的身高和体重。为了校正自报告数据和测量数据之间的差异,使用校正公式似乎很合理。

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