Validity of Self-Reported Anthropometric Values Used to Assess Body Mass Index and Estimate Obesity in Greek School Children

Article (PDF Available)inJournal of Adolescent Health 40(4):305-10 · May 2007with50 Reads
DOI: 10.1016/j.jadohealth.2006.10.001 · Source: PubMed
To examine the validity of self-reported values of body height and weight, used for the estimation of body mass index (BMI), as a diagnostic method for the evaluation of overweight and obesity in Greek school children. Self-reported height and weight was recorded and then measured in 378 primary (mean age 11.4 +/- .4 years) and 298 high school students (mean age 12.5 +/- .3 years). The BMI cutoff points adopted by the International Obesity Task Force were used to compare prevalence estimates of overweight and obesity obtained from self-reported and actual measures. Significant differences were found between self-reported and measured anthropometric indices in all subgroups, except for height in elementary school girls. The degree of self-report bias did not differ between genders; however, it was higher for high school students and heavier children, compared to elementary school pupils and lighter children, respectively. Based on self-reports, prevalence estimates were 23.1% for overweight and 4.3% for obesity, but according to measured data the corresponding rates were 28.8% and 9.5%, respectively. The present findings imply that the observed discrepancy between self-reported and measured anthropometric data in Greek children and adolescents might lead to erroneous estimating rates of overweight and obesity. Although self-reported data are easy to obtain, health surveys of overweight and obesity in youth need valid and accurate procedures.


    • "Indeed , a 2 year longitudinal study of adolescents found neither MVPA nor sedentary time to be prospectively associated with waist circumference, but found waist circumference to predict sedentary time at follow up [46]. Another limitation is the use of self-reported height and weight as young people tend to under-report weight [56,57] and over-report height [56,58] . However, selfreported height and weight has been found to be useful in epidemiological studies as it correlates highly with actual weight and has been found to be reliable for the prediction of obesity related morbidities and behaviors [59]. "
    [Show abstract] [Hide abstract] ABSTRACT: The use of electronic media has been found to be a risk factor for higher BMI and for being overweight. Physical activity has been found to be associated with lower BMI and lower risk for being overweight. Little is known about whether the associations between physical activity and electronic media use are additive or interactive in predicting BMI and risk for overweight among adolescents. The data used in this study stem from the 2009/2010 survey of "Health Behaviour in School-aged Children (HBSC) study: A WHO Cross-National Survey. The sample consisted of 107184 13 and 15 year students from 30 different countries. Multilevel regression models were used to produce the presented estimates. Overall, 18% of boys and 11% of girls were classified as overweight. EM use was found to be associated with increased BMI z-scores and odds for overweight among both boys and girls who did not comply with physical activity guidelines. Among physically active adolescents, EM was found to be significantly associated with BMI or odds for overweight among girls, but not among boys. While the usage of EM appear to be inconsequential for BMI and the risk of overweight among physically active boys, we find evidence indicating that EM use is associated with BMI and risk for overweight among girls, including those who report complying with MVPA guidelines.
    Full-text · Article · May 2015
    • "BI KiGGS : Body image. Qj k HBSC : Prevalences of the subjective BMI categories j in the group of people with Body Image BI = k in HBSC. to the same conclusion [10]. It is recommended that the degree of misclassification in subgroups of children and adolescents be examined more closely by a validation study. "
    [Show abstract] [Hide abstract] ABSTRACT: Prevalence rates for overweight and obesity based on self-reported height and weight are underestimated, whereas the prevalence rate for underweight is slightly overestimated. Therefore a correction is needed. Aim of this study is to apply correction procedures to the prevalence rates developed on basis of (self-reported and measured) data from the representative German National Health Interview and Examination Survey for Children and Adolescents (KiGGS) to (self-reported) data from the German Health Behaviour in School Aged Children (HBSC) study to determine whether correction leads to higher prevalence estimates of overweight and obesity as well as lower prevalence rates for underweight. BMI classifications based on self-reported and measured height and weight from a subsample of the KiGGS study (2,565 adolescents aged 11-15) were used to estimate two different correction formulas. The first and the second correction function are described. Furthermore, the both formulas were applied to the prevalence rates from the HBSC study (7,274 adolescents aged 11-15) which are based on self-reports collected via self-administered questionnaires. After applying the first correction function to self-reported data of the HBSC study, the prevalence rates of overweight and obesity increased from 5.5% to 7.8% (compared to 10.4% in the KiGGS study) and 2.7% to 3.8% (compared to 7.8% in the KiGGS study), respectively, whereas the corrected prevalence rates of underweight and severe underweight decreased from 8.0% to 6.7% (compared to 5.7% in the KiGGS study) and from 5.5% to 3.3% (compared to 2.4% in the KiGGS study), respectively. Application of the second correction function, which additionally considers body image, led to further slight corrections with an increase of the prevalence rates for overweight to 7.9% and for obese to 3.9%. Subjective BMI can be used to determine the prevalence of overweight and obesity among children and adolescents. Where there is evidence of bias, the prevalence estimates should be corrected using conditional probabilities that link measured and subjectively assessed BMI from a representative validation study. These corrections may be improved further by considering body image as an additional influential factor.
    Full-text · Article · Mar 2014
    • "Third, using self-reported height and weight data may result in some inaccuracies. As shown in other studies, the use of self-reported weight and BMI tends to underestimate actual values, particularly in overweight women [48]. In addition, the self-reported weight at age 20 years relied on the mother's and the grandmother's memories, thereby increasing the risk of inaccuracy. "
    [Show abstract] [Hide abstract] ABSTRACT: Obesity may be the consequence of various environmental or genetic factors, which may be highly correlated with each other. We aimed to examine whether grandmaternal and maternal obesity and environmental risk factors are related to obesity in daughters. Daughters (n = 182) recruited from female students, their mothers (n = 147) and their grandmothers (n = 67) were included in this study. Multivariable logistic regression was used to analyze the association between the daughter's obesity and maternal, grandmaternal, and environmental factors. Maternal heights of 161-175cm (OD: 8.48, 95% CI: 3.61-19.93) and 156-160 cm (2.37, 1.14-4.91) showed positive associations with a higher height of daughter, compared to those of 149-155 cm. Mothers receiving a university or a higher education had a significant OR (3.82, 1.27-11.50) for a higher height of daughter compared to those having a low education (elementary school). Mother having the heaviest weight at current time (59-80 kg, 3.78, 1.73-8.28) and the heaviest weight at 20 years of age (51-65 kg, 3.17, 1.53-6.55) had significant associations with a higher height of daughters, compared to those having the lightest weight at the same times. There was no association between the height, weight, and BMI of daughters and the characteristics and education of her grandmothers. In conclusion, although genetic factors appear to influence the daughter's height more than environmental factors, the daughter's weight appears to be more strongly associated with individual factors than the genetic factors.
    Full-text · Article · Oct 2013
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