Blood lipids among young children in Europe. Results from the European IDEFICS study

Henauw, S. De; Michels, Nathalie; Vyncke, Krishna; Hebestreit, Antje; Russo, Paola; Intemann, Timm; Peplies, Jenny; Fraterman, Arno; Eiben, Gabriele; Lorgeril, Michel de; Tornaritis, Michael; Molnár, Denés; Veidebaum, Toomas; Ahrens, Wolfgang; Moreno, LA

doi:10.1016/j.appet.2014.12.082

Cited by 3 publications

(3 citation statements)

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“…13 This is mainly due to the fact that there are no reference values for the different components to be used during childhood. 14 From this point of view, reference values provided by the IDEFICS (Identification and prevention of Dietary-and lifestyle-induced health Effects in Children and infantS) study 15 of European children may allow us to classify children according to the different components of the syndrome (see Nagy et al, 16 Barba et al, 17 De Henauw et al, 18 Peplies et al; 19 this issue). At the population level, another approach to address the clustering of cardiovascular risk factors is to compute a quantitative risk score.…”

Section: Introductionmentioning

confidence: 99%

Metabolic syndrome in young children: definitions and results of the IDEFICS study

et al. 2014

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on behalf of the IDEFICS consortium OBJECTIVE: To estimate the prevalence of the metabolic syndrome (MetS) using reference standards obtained in European children and to develop a quantitative MetS score and describe its distribution in children. DESIGN AND METHODS: Population-based survey in eight European countries, including 18 745 children 2.0 to 10.9 years, recruited during a second survey. Anthropometry (weight, height and waist circumference), blood pressure and serum-fasting triglycerides, HDL cholesterol, glucose and insulin were measured. We applied three widely accepted definitions of the pediatric MetS and we suggest a new definition, to guide pediatricians in decisions about close monitoring or even intervention (values of at least three of the MetS components exceeding the 90th or 95th percentile, respectively). We used a z-score standardisation to calculate a continuous score combining the MetS components. RESULTS: Among the various definitions of MetS, the highest prevalence (5.5%) was obtained with our new definition requiring close observation (monitoring level). Our more conservative definition, requiring pediatric intervention gives a prevalence of 1.8%. In general, prevalences were higher in girls than in boys. The prevalence of metabolic syndrome is highest among obese children. All definitions classify a small percentage of thin or normal weight children as being affected. The metabolic syndrome score shows a positive trend with age, particularly regarding the upper percentiles of the score. CONCLUSIONS: According to different definitions of pediatric MetS, a non-negligible proportion of mostly prepubertal children are classified as affected. We propose a new definition of MetS that should improve clinical guidance. The continuous score developed may also serve as a useful tool in pediatric obesity research. It has to be noted, however, that the proposed cutoffs are based on a statistical definition that does not yet allow to quantify the risk of subsequent disease.

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Section: Introductionmentioning

confidence: 99%

Metabolic syndrome in young children: definitions and results of the IDEFICS study

et al. 2014

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“…However, non-HDL-C levels in children and adolescents vary with age, sex, and race/ethnicity 29) . Thus, it is important that own population reference values are used in the clinical practice to identify cardiovascular risk factors in pediatric age group 30) . Recently, reference ranges for non-HDL-C levels in Japanese children and adolescents were reported 23) .…”

Section: Discussionmentioning

confidence: 99%

Non-high-density Lipoprotein Cholesterol Levels in Japanese Obese Boys with Metabolic Syndrome

Saito

Okada

Abe

et al. 2016

JAT

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“…Children were classified as having hyperglycaemia if they had blood glucose concentrations above the age-and sex-specific monitoring IDEFICS cut-off point [36]. Children were classified as having dyslipidaemia if they had TG concentrations above the age-and sex-specific monitoring IDEFICS cut-off point or HDL-C concentrations below the age-and sex-specific monitoring IDEFICS cut-off point [37].…”

Section: Cardiovascular Disease Risk Factor Definitionsmentioning

confidence: 99%

Cardiovascular risk factors and its patterns of change between 4 and 8 years of age in the INMA-Asturias cohort

et al. 2023

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Aim This study aimed to investigate whether there are subgroups of children with different clusters of cardiovascular disease (CVD) risk factors at 4 and 8 years of age, and their patterns of change between these two time points. Methods The analysis was conducted in 332 children who participated in the INMA-Asturias cohort (Spain) at 4 and at 8 years of age. The CVD risk factors were central obesity, dyslipidaemia, hyperglycaemia, and hypertension. Latent transition analysis was used to identify the different clusters and their probabilities of change. Results At 4 years, three subgroups were identified: no disorders (prevalence of 55.9%); some disorders (21.2%), and central obesity (22.9%). Three distinct subgroups were identified at 8 years: no disorders (59.8%); hypertension (17.9%), and central obesity (22.3%). Central obesity at 4 years tends to appear simultaneously with dyslipidaemia, while at 8 years it tends to appear simultaneously with dyslipidaemia and/or hypertension. Children aged 4 years with no disorders had a 93.7% probability of remaining in the same status at 8 years of age. Children aged 4 who had some disorders had a 67.7% of probability of having only hypertension and a 32.3% of probability of having central obesity. Children aged 4 in the central obesity subgroup had a 32.4% of probability of having no disorders at 8 years of age, while 67.6% still had central obesity. Conclusions These exploratory findings suggest that children who do not present any disorder at 4 years of age tend to remain in that state at 8 years of age. And also that central obesity may play a major role in the development of other disorders, as the number of disorders with which it concomitantly occurs increases between the ages of 4 and 8 years.

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Blood lipids among young children in Europe. Results from the European IDEFICS study

Cited by 3 publications

References 12 publications

Metabolic syndrome in young children: definitions and results of the IDEFICS study

Metabolic syndrome in young children: definitions and results of the IDEFICS study

Non-high-density Lipoprotein Cholesterol Levels in Japanese Obese Boys with Metabolic Syndrome

Cardiovascular risk factors and its patterns of change between 4 and 8 years of age in the INMA-Asturias cohort

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