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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Associations Between Birth Characteristics, Weaning Practices, and the Metabolic Syndrome in Children: A Descriptive
Teofana Otilia Bizerea-Moga1,2, Tudor Voicu Moga3,4, Ramona Stroescu1,5
1Department XI of Pediatrics-1st Pediatric Discipline, Center for Research on Growth and Developmental Disorders in Children, 'Victor Babeș' University of Medicine and Pharmacy Timișoara, Eftimie Murgu Sq No. 2, 300041 Timișoara, Romania.
Insights
Children born small for gestational age (SGA) face a significantly higher risk of developing metabolic syndrome (MetS). Early life monitoring of growth and diet is crucial for preventing metabolic complications in obese children.
Area of Science:
- Pediatric Endocrinology
- Metabolic Health
- Obesity Research
Background:
- Childhood obesity is a growing concern with significant health implications.
- Metabolic syndrome (MetS) is a cluster of conditions linked to adverse cardiometabolic outcomes.
- Early life factors like birth characteristics and feeding practices may influence MetS development in obese children.
Purpose of the Study:
- To investigate the relationship between birth metrics and early feeding practices with MetS prevalence in obese children.
- To identify specific risk factors contributing to MetS development in pediatric obesity.
Main Methods:
- Retrospective observational study of 800 obese children (0-18 years) in Timișoara, Romania.
- Patients categorized by gestational age: small for gestational age (SGA), appropriate for gestational age (AGA), and large for gestational age (LGA).
- Analysis of birth metrics, feeding practices, BMI, and MetS components, including logistic regression and ROC analysis.
Main Results:
- Obese children born SGA exhibited higher prevalence of Type 2 diabetes, hypercholesterolemia, insulin resistance (IR), and MetS.
- Obese children born LGA had higher BMI, hypertriglyceridemia, arterial hypertension, and lower HDL-C.
- MetS incidence increased with age; IR was more prevalent in older obese children. SGA birth status was a significant predictor of MetS (OR=4.49).
Conclusions:
- Obese children born SGA have a substantially elevated risk of developing MetS.
- MetS incidence and its components escalate with age in obese pediatric patients.
- Close monitoring of growth patterns and early-life dietary habits is essential for mitigating metabolic complications.
Abstract:
Background: Childhood obesity has seen an important rise in recent decades, in both the pediatric and adult populations. Excess weight can cause various health complications, such as the metabolic syndrome (MetS), a cluster of medical conditions linked to adverse cardiometabolic outcomes. Although MetS may be attributed mainly to adults, early life factors, such as birth characteristics and feeding practices, may influence its development in obese children. Aim: This study aims to investigate the relationships between birth metrics, early feeding practices, and the prevalence of MetS and its components among obese children. Methods: A retrospective observational study was conducted on 800 obese patients aged 0-18 years, admitted to the "Louis Țurcanu" Children's Clinical and Emergency Hospital in Timișoara, Romania, from 1 January 2013 to 31 December 2023. Patients were divided according to gestational age: small for gestational age (SGA), appropriate for gestational age (AGA), and large for gestational age (LGA). Results: Type 2 diabetes (18.2%), hypercholesterolemia (24.6%), IR (41.3%), and MetS (39.2%) were more prevalent among oSGA patients included in the study. These patients were breastfed for longer periods but weaned at a younger age. oLGA patients had the highest BMI values (28.4 ± 4.2) and, in this study group, hypertriglyceridemia (29.4%), arterial hypertension (26.8%), and lower HDL-C (41.7 ± 6.3 mg/dL) were more prevalent. The incidence of MetS increased with age (12.6 ± 3.1 years). Among these patients, IR (52.3%) was more prevalent. The introduction of flour-based energy-dense foods before six months was more frequent in MetS patients, but not statistically significant. Logistic regression showed oSGA patients had a 4.49-fold higher MetS risk (p < 0.001). Older age at diagnosis increased the risk of developing MetS by 37%, a diagnosis of impaired glucose tolerance by 19-fold, and a family history of diabetes by 2.7-fold. ROC analysis showed strong predictability (AUC = 0.905, sensitivity = 82%, specificity = 88%). Conclusions: Obese children born SGA had a higher risk for developing MetS. The incidence of MetS and its components increases with age among obese patients. Monitoring growth patterns and dietary habits in early life is paramount to mitigate future metabolic complications.
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