Which predictors differentiate between obese children and adolescents with cardiometabolic complications and those with metabolically healthy obesity?

Margolis-Gil, Merav; Yackobovitz-Gavan, Michal; Phillip, Moshe; Shalitin, Shlomit

doi:10.1111/pedi.12694

Cited by 33 publications

(34 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Population. Mexican children from Monterrey [14] aged 6 to 12 years were classified according to their BMI percentile as children with NW (>5 th and <85 th percentiles) or OB (≥95 th percentile) [15] and in MHO or MUO based on the number of CMR factors [1,3,16,17]: blood pressure (systolic or diastolic ≥90 th percentile for age, gender, and height), hyperglycemia (≥100 mg/dL), hypertriglyceridemia (≥110 mg/dL), and low HDL-c (≤40 mg/dL). MHO was defined as children with none or one CMR factor and MUO as children with two or more factors as defined by other authors [16,17].…”

Section: Methodsmentioning

confidence: 99%

“…In this context, unraveling the factors that contribute to obesity (OB) and the development of cardiometabolic risk (CMR) has been a challenge. It has been suggested that the emerge of CMR factors depends on age and waist circumferences (WC) [2,3]. However, children with OB who are resilient to unfavorable CMR, known as metabolically healthy obesity (MHO), has been described [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrative Analysis of Lipid Profiles in Plasma Allows Cardiometabolic Risk Factor Clustering in Children with Metabolically Unhealthy Obesity

Castillo

Elizondo‐Montemayor

Hernández-Brenes

et al. 2020

Oxidative Medicine and Cellular Longevity

View full text Add to dashboard Cite

Hypertension, central obesity, hyperglycemia, and dyslipidemia are key risk factors for cardiovascular disease. However, the specific factors contributing to the development of unfavorable cardiometabolic characteristics in children with obesity are unknown. In this study, we investigated the cross-sectional relationships between cytokines, irisin, and fatty acid (FA) composition in plasma in school-age children with metabolically healthy and unhealthy obesity (MHO and MUO, respectively) of the same age and body mass index and waist circumference percentiles. We compared the data with that of children with normal weight (NW). We found that inflammatory cytokines and low irisin plasma concentrations are associated with obesity but not with cardiometabolic risk (CMR). Lipid profiles showed that children with MUO have a distinctive FA profile compared with children with MHO and NW, whereas children with MHO shared 88% of the FA profile with the NW group. Among all FAs, concentration of myristic acid (14 : 0), arachidic acid (20 : 0), and n-3 polyunsaturated FAs (PUFAs) was higher in children with MHO, whereas n-6 PUFAs such as arachidonic acid (20 : 4n6) had a significant contribution in defining MUO. These data suggest that the plasma FA profile is not only a central link to obesity but also may act as an indicator of CMR presence.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrative Analysis of Lipid Profiles in Plasma Allows Cardiometabolic Risk Factor Clustering in Children with Metabolically Unhealthy Obesity

Castillo

Elizondo‐Montemayor

Hernández-Brenes

et al. 2020

Oxidative Medicine and Cellular Longevity

View full text Add to dashboard Cite

show abstract

“…Recently, some studies have tested the effectiveness of PI as a predictor of cardiometabolic risk [31][32][33] . However, it is worth mentioning that the present study was the second to show that PI is better for the screening of obesity.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

BACKGROUND: We aimed to compare the accuracy of the ponderal index (PI) vs. BMI-forage z-scores transformed (BMIz) in estimating body fat levels and classifying obesity in children and adolescents from a Brazilian urban population. METHODS: This is a cross-sectional study with 1149 participants (53.2% male), aged 6 to 18 years. Body fat percent (BFP) was obtained by multi-frequency bioelectrical impedance. Non-linear regression analysis provided the accuracy of both BMIz and PI in estimating BFP. False positive rate was obtained from the proportion of individuals placed at or above the 95 th percentile for BMIz or PI, whereas their BFP was discordantly below the 95 th percentile. RESULTS: PI and BMIz appeared with similar stability from childhood to adolescence for both boys and girls. The portion of the variability in BFP explained by BMIz (R 2 = 0.74 and R 2 = 0.75) was close to the variability in BFP explained by PI (R 2 = 0.73 and R 2 = 0.75) for boys and girls, respectively. False positive rate was higher for BMIz compared with PI among boys (21.8% vs. 3.9%) and girls (28.5% vs. 17.5%). CONCLUSIONS: PI is a promising index for replacing BMIz in children and adolescents due to its potential to reduce false diagnosis of obesity.

show abstract

“…Childhood obesity is a major health problem of worldwide concern (1,2,3). During the past 20 years, the proportion of obese children and adolescents has significantly increased in most countries (1,2,3). Obesity in adolescents is a major risk factor for adulthood obesity (3).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Tri-ponderal Mass Index and Body Mass Index in Estimating Insulin Resistance, Hyperlipidemia, Impaired Liver Enzymes or Thyroid Hormone Function and Vitamin D Levels in Children and Adolescents

Akcan

Bundak

2019

Jcrpe

View full text Add to dashboard Cite

Tri-ponderal mass index (TMI) has been reported to estimate body fat more accurately than body mass index (BMI). This study aimed to compare the efficacy of TMI and BMI in predicting insulin resistance (IR), hyperlipidemia, impaired liver enzymes or thyroid hormone function and vitamin D concentration. Methods: One hundred and forty-three overweight or obese children, based on BMI-standard deviation (SD) scoring (BMI-SDS) were studied retrospectively. TMI thresholds for overweight status were 16.0 kg/m 3 for boys and 16.8 kg/m 3 for girls and 18.8 kg/m 3 for boys and 19.7 kg/m 3 for girls for obese status. Results: Twenty-two overweight and eight obese children by BMI-SDS were classified as normal by TMI. Of the overweight children 22 (22.7%) had IR and IR was detected in 2 of 8 obese children with normal TMI. There was no increase in liver enzymes in any of the children with normal TMI. Forty-four obese children were overweight according to TMI and IR was detected in 40.9%. Thyroid stimulating hormone levels were significantly higher in BMI-based obese children. Vitamin D levels were similar in all groups of both classifications. Conclusion: When TMI was used there may be a risk of overlooking IR. However, if it is assumed that liver enzymes are elevated as a result of visceral adiposity, TMI can be used as an auxiliary parameter to show visceral effects of adiposity. Normal TMI may indicate that visceral organ functions have not deteriorated yet. More studies are needed to evaluate TMI as a clinical tool.

show abstract

Which predictors differentiate between obese children and adolescents with cardiometabolic complications and those with metabolically healthy obesity?

Abstract: The MHO phenotype was present in only 20.9% of obese Israeli children. MUO was significantly associated with male gender, with presence of acanthosis nigricans, and with a greater increase in BMI-SDS during follow-up.

Cited by 33 publications

References 44 publications

Integrative Analysis of Lipid Profiles in Plasma Allows Cardiometabolic Risk Factor Clustering in Children with Metabolically Unhealthy Obesity

Integrative Analysis of Lipid Profiles in Plasma Allows Cardiometabolic Risk Factor Clustering in Children with Metabolically Unhealthy Obesity

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

Accuracy of Tri-ponderal Mass Index and Body Mass Index in Estimating Insulin Resistance, Hyperlipidemia, Impaired Liver Enzymes or Thyroid Hormone Function and Vitamin D Levels in Children and Adolescents

Contact Info

Product

Resources

About