Young people aged 21 years or younger with BMI ≥ 25 kg/m2
Care Setting
Community, school, and clinical settings
Key Highlights
Obesity prevalence in adolescents is approximately 20% in England and the USA.
Childhood obesity increases risk of adult obesity by 16-fold and is linked to multiple comorbidities including type 2 diabetes and cardiovascular disease.
This review is the first comprehensive meta-analysis comparing efficacy of lifestyle, pharmacological, endoscopic, and surgical interventions in young people.
Guideline-Based Recommendations
Diagnosis
Identify obesity in young people using BMI ≥ 25 kg/m2.
Exclude pregnant females, neonates, and genetic obesity syndromes from treatment considerations.
Management
Consider lifestyle modifications as first-line intervention.
Pharmacological therapies may be used with consideration of adherence challenges in youth.
Bariatric surgery is gold standard for adults but evidence in youth is limited; surgical options considered when appropriate.
Endoscopic treatments are emerging but evidence is sparse.
Monitoring & Follow-up
Use BMI and related metrics (BMI-SDS, waist circumference, fat mass) to assess treatment efficacy.
Regular follow-up to monitor weight changes and comorbidity improvements.
Risks
Potential non-compliance with pharmacological treatments in adolescents.
Surgical interventions carry inherent risks and require careful patient selection.
Psychological and biological differences in youth may affect treatment response.
Patient & Prescribing Data
Adolescents and young people aged ≤21 years with obesity
Younger patients may be more amenable to long-term lifestyle changes but less compliant with daily medication; limited RCT data on surgical interventions necessitates cautious application.
Clinical Best Practices
Early intervention is critical to prevent long-term obesity-related complications.
Tailor treatment strategies to the unique biological and psychological characteristics of young people.
Utilize multidisciplinary approaches including community, school, and clinical resources.
Apply rigorous methodological quality assessment when interpreting evidence.
Use random-effects meta-analysis to account for heterogeneity in studies.
