Associations of Overweight and Obesity Indicators with Cardiometabolic Risk Profile in Children and Adolescents with Congenital Heart Disease - Scorecard - MDSpire
Advertisement
Associations of Overweight and Obesity Indicators with Cardiometabolic Risk Profile in Children and Adolescents with Congenital Heart Disease
Clinical Scorecard: Links Between Indicators of Overweight and Obesity and Cardiometabolic Risk Factors in Pediatric and Adolescent Patients with Congenital Heart Disease
At a Glance
Category
Detail
Condition
Congenital Heart Disease (CHD)
Key Mechanisms
Overweight and obesity indicators such as waist circumference and body fat percentage influence cardiometabolic risk profiles.
Target Population
Children and adolescents aged 5-18 years with congenital heart disease.
Care Setting
Outpatient care at reference hospitals.
Key Highlights
Increased risk of childhood obesity in patients with CHD.
Waist circumference and body fat percentage are effective indicators for assessing obesity.
Obesity in CHD patients correlates with worse cardiometabolic risk profiles.
Early lifestyle interventions may prevent adverse cardiovascular outcomes.
BMI may not be the most accurate measure for childhood obesity.
Guideline-Based Recommendations
Diagnosis
Use waist circumference and body fat percentage for obesity assessment in children with CHD.
Management
Implement lifestyle interventions to address obesity and improve cardiovascular health.
Monitoring & Follow-up
Regularly assess cardiometabolic risk factors including lipid profiles and blood pressure.
Risks
Monitor for increased comorbidities associated with obesity in CHD patients.
Patient & Prescribing Data
Children and adolescents with congenital heart disease.
Nutritional supplementation and lifestyle modifications are crucial for managing weight and cardiometabolic risk.
Clinical Best Practices
Conduct routine screening for obesity using waist circumference and body fat percentage.
Encourage physical activity and healthy eating habits in children with CHD.
Tailor interventions based on individual growth patterns and obesity indicators.
Researchers found that patients with higher waist circumference and lower grip strength had the greatest risk for developing type 2 diabetes during long-term follow-up.
