Assessment of Epicardial Fat in Children: Its Role as a Cardiovascular Risk Factor and How It Is Influenced by Lifestyle Habits.
Valeria CalcaterraHellas CenaVittoria GarellaFederica LoperfidoClaudia ChillemiMatteo ManuelliSavina MannarinoGian Vincenzo ZuccottiPublished in: Nutrients (2024)
Epicardial adipose tissue (EAT) stands out as a distinctive repository of visceral fat, positioned in close anatomical and functional proximity to the heart. EAT has emerged as a distinctive reservoir of visceral fat, intricately interlinked with cardiovascular health, particularly within the domain of cardiovascular diseases (CVDs). The aim of our overview is to highlight the role of EAT as a marker for cardiovascular risk in children. We also explore the influence of unhealthy lifestyle habits as predisposing factors for the deposition of EAT. The literature data accentuate the consequential impact of lifestyle choices on EAT dynamics, with sedentary behavior and unwholesome dietary practices being contributory to a heightened cardiovascular risk. Lifestyle interventions with a multidisciplinary approach are therefore pivotal, involving a nutritionally balanced diet rich in polyunsaturated and monounsaturated fatty acids, regular engagement in aerobic exercise, and psychosocial support to effectively mitigate cardiovascular risks in children. Specific interventions, such as high-intensity intermittent training and circuit training, reveal favorable outcomes in diminishing the EAT volume and enhancing cardiometabolic health. Future clinical studies focusing on EAT in children are crucial for advancing our understanding and developing targeted strategies for cardiovascular risk management in this population.
Keyphrases
- adipose tissue
- fatty acid
- physical activity
- high intensity
- cardiovascular disease
- young adults
- metabolic syndrome
- weight loss
- insulin resistance
- primary care
- mental health
- systematic review
- risk factors
- public health
- gene expression
- high fat diet
- resistance training
- skeletal muscle
- social media
- climate change
- coronary artery disease
- body composition
- machine learning
- deep learning
- artificial intelligence
- health information
- atrial fibrillation