Variations in the Prevalence of Metabolic Syndrome in Adolescents According to Different Criteria Used for Diagnosis: Which Definition Should Be Chosen for This Age Group?

Agudelo, Gloria M; Bedoya, Gabriel; Estrada, Alejandro; Patiño, Fredy A.; Múñoz, Alfredo; Velásquez, Claudia

doi:10.1089/met.2013.0127

Cited by 64 publications

(77 citation statements)

References 40 publications

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“…Various publications have noticed prevalence numbers ranging from 0.2% to 38.9% (22). In a systematic review of 85 studies in children, the median prevalence of metabolic syndrome in whole populations was 3.3% (range 0-19.2%), in overweight children was 11.9% (range 2.8-29.3%), and in obese populations was 29.2% (range 10-66%).…”

Section: Epidemiologymentioning

confidence: 99%

Metabolic syndrome in children and adolescents

2017

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Prevalence of metabolic syndrome in children and adolescents is increasing, in parallel with the increasing trends in obesity rates. Varying definitions of this syndrome have hindered the development of a consensus for the diagnostic criteria in the pediatric population. While pathogenesis of metabolic syndrome is not completely understood, insulin resistance and subsequent inflammation are thought to be among its main mechanistic underpinnings. Overweight and obesity are cardinal features, along with abnormal glucose metabolism, dyslipidemia, and hypertension. Other disorders associated with metabolic syndrome include fatty liver, polycystic ovarian syndrome (PCOS), and pro-inflammatory states. Prevention and management of this condition can be accomplished with lifestyle modifications, behavioral interventions, pharmacological and surgical interventions as needed.

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Section: Epidemiologymentioning

confidence: 99%

Metabolic syndrome in children and adolescents

2017

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“…This large range can mainly be attributed to the inconsistent definition of the term metabolic [13]. According to Agudelo et al [14], the current cutoff points are highlighted in table 2. Depending on classification, the occurrence varies between 0.9, 3.8, 4.1, 10.5, and 11.4% corresponding to International Diabetes Federation [19], Cook et al [15], Ford et al [17], Agudelo et al [18], and de Ferranti et al [16], respectively.…”

Section: Definition and Prevalence Of The Metabolic Syndrome In Childmentioning

confidence: 99%

Metabolic Syndrome in Children and Adolescents

Gräf

Ferrari²

2016

Visc Med

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Background: Juvenile obesity is associated with multiple cardiometabolic comorbidities, which may culminate in the metabolic syndrome (MetS). Methods: Based on a narrative review, the current knowledge of prevalence and the underlying metabolic principles regarding juvenile obesity and MetS are summarized to compile up-to-date information. In addition, the role of lifestyle as well as positive and negative influencing factors are focused on. Results: The prevalence of MetS occurs between 1 and up to 23% in the total pediatric population and in up to 60% amongst the obese and overweight. It can be considered as the consequence of multiple processes in terms of lifestyle, perinatal programming, and (epi-)genetic pathways; however, the complex underlying mechanisms and their interplay are not completely understood. Conclusion: Besides preventive approaches, the growing number of obese children and youth as well as its consequences call for effective and lasting therapeutic measures.

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“…Furthermore, insulin resistance causes the metabolic alterations that finally results in metabolic syndrome (MetS) [23][24][25][26][27] and prevalence of MetS is directly proportional to the obesity [28][29][30]. A recent study in Medellin on 851 adolescents aged between 10 to 18 years old revealed rates of 25%, 4.1%, and 4.9% for overweight, MetS, and insulin resistance respectively [26]. The biological findings associated with this disease suggest that the β-pancreatic cells of these adolescents are forced to produce more insulin to maintain normoglycaemia, which predisposes them to hyperglycaemia and Diabetes Mellitus type 2 [27,31,32].…”

Section: Discussionmentioning

confidence: 99%

New surrogate anthropometrical markers for early detection of insulin resistance

Porwal

Singh

Verma

et al. 2015

Int Jour of Biomed Res

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Background: Insulin resistance is the pathophysiological basis of several cardiometabolic risk conditions. The early identification of insulin resistance decreases the risk of cardiometabolic complications. The correlation between the increase in visceral fat, central obesity and with insulin resistance is a important indicator. Present study was conducted to find the correlation between various anthropometric measurements and insulin resistance (HOMA-IR) and to find out the anthropometric marker, which correlates most significantly with insulin resistance. Material and methods: This is a population based cross-sectional study. Total 100 apparently healthy subjects (n=55 male and n=45 female) aged between 18-25 years were recruited with prior ethical approval and with written informed consent. All the anthropometrical measurements were done as per the standard methods. Fasting glucose and insulin were estimated by using commercially available kit. Insulin resistance was quantified using homeostasis model Results: There was positive correlation between HOMA-IR and waist circumference (r=0.395, p=0.0001). However, significant positive & mild correlation between HOMA-IR and waist hip ratio was found (r=0.263, p =0.008). The correlation between HOMA-IR and waist height ratio was also observed to be positive and moderate. Conclusion: As per the findings we concluded that, waist circumference and waist height ratio are better predictors of insulin resistance compared to the other anthropometric measurements in apparently healthy north Indian subjects.

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Variations in the Prevalence of Metabolic Syndrome in Adolescents According to Different Criteria Used for Diagnosis: Which Definition Should Be Chosen for This Age Group?

Cited by 64 publications

References 40 publications

Metabolic syndrome in children and adolescents

Metabolic syndrome in children and adolescents

Metabolic Syndrome in Children and Adolescents

New surrogate anthropometrical markers for early detection of insulin resistance

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