Epidemiological Impact of Metabolic Syndrome in Overweight and Obese European Children and Adolescents: A Systematic Literature Review.
Francesca OrsiniFloriana D'AmbrosioAnna ScardignoRoberto RicciardiGiovanna Elisa CalabròPublished in: Nutrients (2023)
The prevalence of overweight and obesity is continuously increasing, both in the adult and pediatric populations, posing a substantial challenge to public health. Understanding the epidemiological burden of metabolic syndrome (MetS) among children, particularly regarding its complications and long-term effects in adulthood, is crucial for identifying effective preventive measures and enhancing the clinical care of obese children. Therefore, by searching two databases, a systematic review was conducted in order to evaluate studies that specifically addressed the epidemiological MetS impact among overweight/obese European children and adolescents. Overall, 15 studies were considered. The epidemiological data concerning the MetS impact were contingent on the diagnostic criteria used and varied across countries, resulting in a prevalence range of 1.44% to 55.8%. Spanish studies were the most numerous (34%), revealing a country prevalence rate ranging from 2.5% to 19.6%. Males (prevalence range: 1.4-55.8%) and subjects with overweight/obesity (prevalence range: 12.9-55.8%) were mainly affected. Obesity emerged as the main risk factor in the MetS development and the consequent onset of cardiovascular complications and diabetes. Knowing the MetS burden and its risk factors could improve their prevention, detection, and treatment, and guide the development of targeted public health interventions to appropriately address the health needs of younger patients.
Keyphrases
- risk factors
- metabolic syndrome
- public health
- weight loss
- type diabetes
- insulin resistance
- healthcare
- adipose tissue
- end stage renal disease
- weight gain
- young adults
- chronic kidney disease
- physical activity
- uric acid
- cardiovascular disease
- newly diagnosed
- bariatric surgery
- social media
- depressive symptoms
- skeletal muscle
- machine learning
- glycemic control
- peritoneal dialysis
- climate change
- artificial intelligence
- risk assessment
- obese patients
- drug delivery
- combination therapy
- data analysis