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Obesity is a multifactorial, complex disease that is driven by genetic, biological, environmental, and behavioral factors. In this review, we explain the key contributors to obesity, limitations in current definitions, its relationship with cardiometabolic health, and recent advancements in treatment. Obesity is characterized by the presence of excess and dysfunctional adipose tissue, driven by chronic inflammation and maladaptive energy homeostasis. Although body mass index (BMI) has historically been used to diagnose obesity, BMI provides a limited evaluation of individual patients because it fails to specifically quantify adiposity, which is the primary determinant of metabolic impact in these patients. There is an ongoing and necessary shift in treating obesity with a weight-inclusive approach that aims to address obesity upstream and prevent downstream cardiometabolic health complications. This approach is being supported by various treatment options, notably glucagon-like peptide-1 receptor agonists like semaglutide and tirzepatide, that also have promising effects on cardiovascular, renal, and liver health. Advances in precision medicine, gut microbiome research, and Multi-target therapies support personalized therapeutic approach. Despite these developments, less than 25% of individuals living with obesity are receiving evidence-based treatment. There is an urgent need to improve health care delivery to patients with obesity through timely, affordable, and multimodal treatments that promote sustainable and sustained weight loss. Increasing board certification of practicing physicians through the American Board of Obesity Medicine will be critical to improving access and quality of care.
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http://dx.doi.org/10.1007/s12325-025-03352-y | DOI Listing |
Eur J Prev Cardiol
September 2025
Department of Nursing, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
JAMA Pediatr
September 2025
Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
JAMA Netw Open
September 2025
Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Nutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFEchocardiography
September 2025
Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To explore the relationships between cardiac parameters and body composition indices, identifying predictors of subclinical cardiac systolic dysfunction.
Methods: Using anthropometric and serological parameters, echocardiography, and body composition analysis, this study evaluated metabolic profiles, cardiac remodeling patterns, and body composition characteristics in young adult obese patients, while quantifying the correlations between cardiac parameters and body composition indices. Subclinical left ventricular systolic dysfunction was defined as global longitudinal strain (GLS) < 18%.