3 research outputs found
Results from the KiGGS Study
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 (2003-2006) 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
Development and Validation of Correction Formulas for Self-Reported Height and Weight to Estimate BMI in Adolescents. Results from the KiGGS Study
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 (2003-2006) 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