Assessment of body mass index in a pediatric population aged 7–17 from Ukraine according to various international criteria–A cross-sectional study

Abstract

Childhood obesity is one of the most serious public health problems. The prevalence of obesity among children is increasing and may negatively affect their immediate health, but it can also lead to obesity in adulthood. The aim of the study was to compare BMI cut-off points by examining three main international references: the World Health Organization (WHO), the International Task Force Obesity (IOTF) and the US Center for Disease Control and Prevention (CDC). Ultimately, the study group consisted of 18,144 children and adolescents aged 6.5–17.5 years. Body mass was measured on medical scales with an accuracy of ± 100 g and height measurement was taken using a height meter with an accuracy of ± 0.1 cm three times. Underweight, overweight and obesity were calculated according to WHO, IOTF and CDC BMI international references. There were differences in the incidence of underweight between the classifications: 16.8% according to IATF, 5.3% according to WHO and 9.9% according to CDC. There were also differences in the incidence of overweight and obesity between the classifications: 13% according to IOTF, 19.7% according to WHO and 14.1% according to CDC. In the CDC and WHO studies, a significantly higher prevalence of childhood obesity (4.0% and 4.7%, respectively) was observed compared with IOTF (2.1%). The prevalence of overweight and obesity in this study was higher among boys compared to girls. However, estimates of prevalence of overweight and obesity differ in methods and reference cut-off points. Higher prevalence was obtained in IOTF classification, followed by the WHO and CDC classification.

Exploring an algorithm to harmonize International Obesity Task Force and World Health Organization child overweight and obesity prevalence rates

“…The line of equality is shown (dashed), and points are coded by sex and data source, while regression lines per facet are coded by data source. The lines for obesity and overweight with Deren 16 are close to the line of equality, while those for thinness and for Wijnhoven 24 are not difference in prevalence dZ A,B on the z-score scale between the two references, ranging from $0 for the horizontal lines to >1 for IOTF 18.5 versus WHO À2 in girls. The background grey triangles correspond to the nominal prevalence rates defined by the three reference cut-offs, for example, 16% for WHO +1 and 15% for CDC 85.…”

“…This shows that because the IOTF cut-off is higher than the WHO cut-off, overweight is less common with IOTF. 2,8,16 The points in Figure 1…”

“…The error term ε has two components: binomial error, that is, larger for small numbers, and error due to the size of dz A,B -the larger dz A,B is, the greater the extrapolation and the larger the error. The model was fitted as an overdispersed beta binomial using GAMLSS 25 with ε proportional to F I G U R E 3 Differences in the prevalence of obesity, overweight and thinness, as measured on the z-score scale, according to pairs of reference cut-offs, plotted against the corresponding z-score difference between the cut-offs, in 74 groups of boys and girls aged 6.0-17.5 16,24 (n = 302). Each point corresponds to a line in Figure 2.…”

Impact of short-term change of adiposity on risk of high blood pressure in children: Results from a follow-up study in China

“…(3) For children with GOB or AOB at baseline, we also categorized their adiposity parameter (BMI or WHtR) change during the follow-up as ten equal groups (Group 1: �P 10 , Group 2: P 10~P20 , Group 3: P 20~P30 , Group 4: P 30~P40 , Group 5: P 40~P50 , Group 6: P 50~P60 , Group 7: P 60~P70 , Group 8: P 70~P80 , Group 9: P 80~P90 and Group 10: >P 90 ) and compared the risk of HBP in different groups with multivariate logistic models. (4) We used an international definition of child obesity developed by the International Obesity Task Force (IOTF) and the World Health Organization (WHO) standard of obesity for 5-19 years old children to test the associations [18][19][20][21][22][23][24]. (5) We also used BMI standard deviation score (BMI SDS) instead of BMI to compare the risk of HBP in different groups with multivariate logistic models.…”

Secular Trends of Underweight, Overweight, and Obesity in Children and Adolescents from Ukraine

“…The second study was carried out in 2018/2019 and the methodology has been published in detail [ 14 ]. The study was repeated in 2018/2019 in the same schools as in 2013/2014, in accordance with the previous protocol.…”