scholarly journals Ponderal index classifies obesity in children and adolescents more accurately than body mass index z-scores

2019 ◽  
Vol 86 (1) ◽  
pp. 128-133 ◽  
Author(s):  
Divanei Zaniqueli ◽  
Polyana Romano Oliosa ◽  
Felipe Silva Neves ◽  
Virgilia Oliveira Pani ◽  
Caroline Resende Martins ◽  
...  
2013 ◽  
Vol 33 (5) ◽  
pp. 349-355 ◽  
Author(s):  
Ines Gonzalez-Casanova ◽  
Olga L. Sarmiento ◽  
Julie A. Gazmararian ◽  
Solveig A. Cunningham ◽  
Reynaldo Martorell ◽  
...  

Author(s):  
Felipe Silva Neves ◽  
Rafael de Oliveira Alvim ◽  
Divanei Zaniqueli ◽  
Virgilia Oliveira Pani ◽  
Caroline Resende Martins ◽  
...  

ABSTRACT Objective: To investigate whether tri-ponderal mass index and body mass index Z scores are equivalent for screening children and adolescents with insulin resistance. Methods: Cross-sectional study with 296 children and adolescents enrolled at public schools of Vitória, Espírito Santo, Brazil, aged eight to 14 years. The tri-ponderal mass index was calculated as the ratio between weight and height cubed. The body mass index was calculated as the ratio between weight and height squared. Insulin resistance was defined with the homeostatic model assessment (HOMA-IR). Results: The HOMA-IR was higher in the 4th quartile of body mass index Z scores and tri-ponderal mass index compared to 1st and 2nd quartiles for both girls and boys. The areas under the age-adjusted receiver operating characteristic curves were similar between the indices for girls (body mass index Z scores=0.756; tri-ponderal mass index=0.763) and boys (body mass index Z scores=0.831; tri-ponderal mass index=0.843). In addition, according to the simple linear regression analyses estimations, both body mass index Z scores and tri-ponderal mass index explained a significant fraction of the homeostatic model assessment variability for girls (body mass index Z scores: R2=0.269; tri-ponderal mass index: R2=0.289; p<0.001) and boys (body mass index Z scores: R2=0.175; tri-ponderal mass index: R2=0.210; p<0.001). Conclusions: The tri-ponderal mass index and body mass index Z scores were similar to discriminate children and adolescents with insulin resistance. It is noteworthy that the use of tri-ponderal mass index is clearly advantageous, because it can be calculated with no concerns on adjustments for the age, a fact that makes it very applicable in the clinical practice.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 586-586
Author(s):  
Steve Douglas ◽  
Hollie Raynor

Abstract Objectives To determine if body mass index z-scores (zBMI) differ among children and adolescents who reported an early temporal eating pattern when compared to those who reported other temporal eating patterns. Methods Data from children (6–12 years) and adolescents (13–19 years) participating in the National Health and Nutrition Examination Survey 2003–2016 were used. Children and adolescents were analyzed separately because of the phase delay in circadian rhythms experienced during adolescence. Energy intake and timing of intake was assessed using two 24-hour dietary recalls. Children (n = 2,565) and adolescents (n = 2,321) were included if they reported plausible intakes (≥500 kcals/day) with the same temporal eating patterns on both days. Temporal eating patterns were defined by the following morning and evening parameters: consumed 20% of total caloric intake before 10 AM (EAM); didn't consume 20% before 10 AM (LAM); consumed at least 80% of total caloric intake before 7 PM (EPM); didn't consume 80% before 7 PM (LPM). These parameters provided four temporal eating patterns: EAM-EPM, EAM-LPM, LAM-EPM, LAM-LPM. A covariate adjusted general linear models, adjusted for the complex sampling design, was used to compare zBMI of those participating in the different patterns. Data are reported as means ± SEM and P &lt; 0.0125 was considered significant. Results zBMI for EAM-EPM (n = 887; 0.460 ± 0.037) children was lower when compared to LAM-LPM (n = 455; 0.641 ± 0.056; P = 0.007) children. For adolescents, zBMI for EAM-EPM (n = 445; 0.516 ± 0.048; P = 0.005), EAM-LPM (n = 172; 0.370 ± 0.089; P = 0.001), and LAM-LPM (n = 839; 0.549 ± 0.039; P = 0.011) adolescents were lower when compared to LAM-EPM (n = 1,097; 0.683 ± 0.035) adolescents. No other differences were observed. Conclusions Children between the ages of 6 and 12 who reported consuming an early eating pattern have a lower zBMI when compared to those who reported consuming a later eating pattern. Adolescents who didn't consume 20% of their total energy intake before 10 am and did consume more than 80% of their total intake before 7 pm have a greater zBMI than their peers who consistently reported consuming alternative eating patterns. Funding Sources None


2008 ◽  
Vol 136 (1-2) ◽  
pp. 22-27 ◽  
Author(s):  
Gordana Bukara-Radujkovic ◽  
Dragan Zdravkovic

INTRODUCTION Body Mass Index (BMI) in boys and girls is predicted by parental BMI, age and occupation. OBJECTIVE Correlation of BMI among children and adolescents in Banjaluka region (Bosnia and Herzegovina) and parental age, BMI, parents? educational level and occupation, as well as the number of family members were investigated as the possible determinants of overweight and obesity in childhood. METHOD The study included 1204 children and adolescents (578 males, 626 females), 6-17 years old from primary and secondary schools in the Banjaluka region. BMI was calculated from height and weight using the standard formula. Each subject along with his parents answered the questionnaire that contained information about parents? height and weight, educational level and occupation, as well as the number of family members. RESULTS In all studied children, the prevalence of overweight was 12.2% and of obesity 6.1%. Strong positive correlation was found between parental BMI and age (older than 40 years) in males and females (p<0.001), while parental higher BMI and higher educational level had positive correlation only in males (p<0.001). The number of family members showed negative correlation with overweight/obesity only in females. CONCLUSION The prevalence of overweight and obesity in children?s population in the Banjaluka region is 12.2% and 6.1%, respectively. There is a positive correlation of overweight and obesity in children with parental overweight and obesity, as well as older age, and parental higher educational level.


2021 ◽  
pp. 089011712110291
Author(s):  
Puneet Kaur Chehal ◽  
Livvy Shafer ◽  
Solveig Argeseanu Cunningham

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.


2021 ◽  
Author(s):  
Barbara F. Thumann ◽  
Christoph Buck ◽  
Stefaan De Henauw ◽  
Charalambos Hadjigeorgiou ◽  
Antje Hebestreit ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pradeep Kumar ◽  
Shobhit Srivastava ◽  
Prem Shankar Mishra ◽  
E. T. Krishnan Mooss

Abstract Background The International Diabetes Federation (IDF) estimated that 1.1 million children and adolescents aged 14–19 years are living with diabetes. Diabetes is a chronic, progressive disease characterized by elevated levels of blood glucose. It is also recognized as a complex disease that affects people of different ages due to different causes. The present study aims to estimate the prevalence of pre-diabetes/diabetes at the national level. Additionally, the respective study determines the factors associated with pre-diabetes/diabetes conditions among adolescents at the national level. Methods The data for this study was carried out from the Comprehensive National Nutrition Survey (CNNS), the first-ever nationally representative nutrition survey of children and adolescents in India. The study used a sample size of 17,865 adolescent boys and 17,965 adolescent girls for the analysis. Descriptive statistics, bivariate analysis, and logistic regression analysis were done to carve out the results. Results The prevalence of pre-diabetes/diabetes was 12.3% and 8.4% among adolescent boys and girls in India, respectively. Body mass index and Subscapular skinfold thickness were the two most important predictors of pre-diabetes/diabetes among adolescents. Further, physical activities show a negative association with pre-diabetes/diabetes. Moreover, interaction models in the present study clearly reveal the fact that adolescent girls were less likely to suffer from pre-diabetes/diabetes than adolescent boys. Additionally, it was found that the prevalence of pre-diabetes/diabetes was high among adolescent girls from lower socio-economic strata. Conclusion The high prevalence of pre-diabetes and diabetes among adolescents portrayed serious public health concern in India. As body mass index and Subscapular skinfold thickness were positively associated with pre-diabetes/diabetes conditions among adolescents. Therefore, effective approaches are needed to be taken to tackle these pre-diabetes/diabetes conditions among adolescents and especially among adolescent boys.


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