Body Mass Index, Waist Circumference, Body Fat, Fasting Blood Glucose in a Sample of Moroccan Adolescents Aged 11–17 Years

Mehdad, Slimane; Hamrani, Abdeslam; Kari, Khalid El; Hamdouchi, Asmaa El; Barakat, Amina; Mzibri, Mohamed El; Mokhtar, Najat; Ashayeri, Hassan

doi:10.1155/2012/510458

Cited by 31 publications

(33 citation statements)

References 52 publications

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“…The strong positive correlations observed between BMI and percent body fat was similar to the results from previous studies [26,[29][30][31]. In a cohort of Swiss school children aged 8-11 years, BMI and body fat were highly correlated particularly in the upper half of the BMI regardless of gender, suggesting that BMI is a good proxy for body fat in children with higher BMI.…”

Section: Discussionsupporting

confidence: 88%

Diagnostic Accuracy of Body Mass Index in Defining Childhood Obesity: Analysis of Cross-Sectional Data from Ghanaian Children

Adom

Kengne

Villiers

et al. 2019

IJERPH

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Background: Screening methods for childhood obesity are based largely on the published body mass index (BMI) criteria. Nonetheless, their accuracy in African children is largely unknown. The diagnostic accuracies of the World Health Organization (WHO), the Centers for Disease Control and Prevention (CDC), and the International Obesity Taskforce (IOTF) BMI-based criteria in defining obesity using deuterium dilution as a criterion method in a sample of Ghanaian children are presented. Methods: Data on anthropometric indices and percent body fat were collected from 183 children aged 8–11 years. The sensitivity, specificity, and predictive values were calculated. The overall performance of the BMI criteria was evaluated using the receiver operating characteristics area under the curve (AUC). Results: Overall sensitivity of WHO, CDC, and IOTF were 59.4% (40.6–76.3), 53.1% (34.7–70.9), and 46.9% (29.1–65.3) respectively. The overall specificity was high, ranging from 98.7% by WHO to 100.0% by IOTF. The AUC were 0.936 (0.865–1.000), 0.924 (0.852–0.995), and 0.945 (0.879–1.000) by the WHO, CDC, and IOTF criteria respectively for the overall sample. Prevalence of obesity by the WHO, CDC, IOTF, and deuterium oxide-derived percent body fat were 11.5%, 10.4%, 8.2%, and 17.5% respectively, with significant positive correlations between the BMI z-scores and percent body fat. Conclusions: The BMI-based criteria were largely specific but with moderate sensitivity in detecting excess body fat in Ghanaian children. To improve diagnostic accuracy, direct measurement of body fat and other health risk factors should be considered in addition to BMI.

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Section: Discussionsupporting

confidence: 88%

Diagnostic Accuracy of Body Mass Index in Defining Childhood Obesity: Analysis of Cross-Sectional Data from Ghanaian Children

Adom

Kengne

Villiers

et al. 2019

IJERPH

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“…A similar tendency was also observed in a previous adult study [9]; however, few studies have reported on this correlation in adolescents. Mehdad et al [28] showed that fasting blood glucose levels are highly correlated with fat mass and PBF in overweight-obese female adolescents aged 11-17 years, a population similar in age to our study sample. Cruz et al [29] reported that this positive relationship in the overweight-obese group of girls may be explained by the clustering of metabolic syndrome factors, which are risk factors for type 2 diabetes.…”

Section: Discussionsupporting

confidence: 68%

Relationship between obesity and serum reactive oxygen metabolites in adolescents

Kogawa

Kashiwakura

2013

Environ Health Prev Med

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Objectives Various cross-sectional studies have revealed a significant positive relationship between systemic oxidative stress and obesity-related indices such as body mass index (BMI, kg/m 2 ). However, little is known of the role of oxidative stress during adolescence. The aim of this study was to determine the association between obesity and serum reactive oxygen metabolites (ROM) in adolescents. Method A total of 595 healthy junior high school students from northern Japan were enrolled in the study. Oxidative stress was evaluated by measuring serum levels of ROM. Obesity indices included BMI and percentage body fat (PBF). The analyses were stratified by sex and controlled for age and menarche. Partial correlation coefficients and analysis of covariance were also analyzed. Results In female students, ROM levels increased with increasing BMI and PBF. Therefore, ROM levels were significantly higher in the underweight group than in the BMI-classified overweight-obese (P \ 0.001) and normal weight groups (P \ 0.05). ROM levels were significantly higher in the high PBF group than in the underweight (P \ 0.05) and normal groups (P \ 0.001). Conclusion The results of this study show that, regardless of menarche, obesity indicators such as BMI and PBF are correlated with the level of oxidative stress in female adolescents.

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“…Previous mouse studies suggested the serum glucose levels were decreased through caloric restriction 34, 35 . Further, serum glucose levels are positively correlated with body mass index (BMI) observed in human studies 36, 37 . Tempol serum metabolite profiles identified decreased glucose and amino acids levels consistent with the decreased hepatic glucose and amino acid reserves, improved insulin sensitivity, and lean phenotype.…”

Section: Discussionmentioning

confidence: 93%

Antioxidant Drug Tempol Promotes Functional Metabolic Changes in the Gut Microbiota

et al. 2016

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Recent studies have identified the important role of the gut microbiota in the pathogenesis and progression of obesity and related metabolic disorders. The antioxidant tempol was shown to prevent or reduce weight gain and modulate the gut microbiota community in mice; however, the mechanism by which tempol modulates weight gain/loss with respect to the host and gut microbiota has not been clearly established. Here we show that tempol (0, 1, 10, and 50 mg/kg p.o. for 5 days) decreased cecal bacterial fermentation and increased fecal energy excretion in a dose-dependent manner. Liver 1H NMR-based metabolomics identified a dose-dependent decrease in glycogen and glucose, enhanced glucogenic and ketogenic activity (tyrosine and phenylalanine), and increased activation of the glycolysis pathway. Serum 1H NMR-based metabolomics indicated that tempol promotes enhanced glucose catabolism. Hepatic gene expression was significantly altered as demonstrated by an increase in Pepck and G6pase and a decrease in Hnf4a, ChREBP, Fabp1, and Cd36 mRNAs. No significant change in the liver and serum metabolomic profiles were observed in germ-free mice thus establishing a significant role for the gut microbiota in mediating the beneficial metabolic effects of tempol. These results demonstrate that tempol modulates the gut microbial community and its function resulting in reduced host energy availability and a significant shift in liver metabolism towards a more catabolic state.

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Body Mass Index, Waist Circumference, Body Fat, Fasting Blood Glucose in a Sample of Moroccan Adolescents Aged 11–17 Years

Cited by 31 publications

References 52 publications

Diagnostic Accuracy of Body Mass Index in Defining Childhood Obesity: Analysis of Cross-Sectional Data from Ghanaian Children

Diagnostic Accuracy of Body Mass Index in Defining Childhood Obesity: Analysis of Cross-Sectional Data from Ghanaian Children

Relationship between obesity and serum reactive oxygen metabolites in adolescents

Antioxidant Drug Tempol Promotes Functional Metabolic Changes in the Gut Microbiota

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