Obesity

This review highlights the effectiveness of precision nutrition in improving risk factors for obesity and type 2 diabetes by tailoring dietary recommendations to individual characteristics such as genetics and lifestyle. It suggests that this personalized approach may be a more effective strategy than conventional dietary interventions, which have shown inconsistent results.

The Korean Society for the Study of Obesity defined overweight as a BMI ≥23 kg/m2 and obesity as a BMI ≥25 kg/m2, based on a significant increase in obesity-related diseases. A waist circumference of ≥90 cm in men and ≥85 cm in women are defined as abdominal obesity, which is also correlated with obesity-related diseases.

Our study aimed to investigate people’s motivations for participating in weight loss trials and determine any relationship with gender.

The study investigates motivations for participating in weight loss clinical trials, highlighting gender differences in these motivations. Improved health is a common motivation for all participants, but males are more influenced by healthcare advice, while females are driven by family and aesthetic expectations. Understanding these differences aims to enhance recruitment strategies for male participants in future trials.

In recent years, endoscopic bariatric therapies have evolved as an effective, minimally invasive and durable therapeutic option for obesity. Metabolic–bariatric surgery remains the most effective and durable treatment for patients with severe obesity, with an average weight loss of 25%–30% after one year.

With the prevalence of obesity rising unabated, particularly in developing economies, the World Obesity Federation has projected that one billion people globally, including one in five women and one in seven men, will be living with obesity by 2030.

The purpose of this review is to provide an overview of the different types of omics data: genomics, epigenomics, transcriptomics, proteomics, metabolomics and illustrate how a multi-omics approach can be fundamental for the implementation of precision obesity management.

The research paper discusses the multifactorial nature of obesity and the limitations of traditional lifestyle interventions. It aims to illustrate how a multi-omics approach, encompassing various types of omics data, can facilitate precision obesity management by identifying specific biomarkers and guiding individualized treatment plans. This integration is proposed to shift the focus from a one-size-fits-all strategy to tailored prevention and treatment of obesity and its related diseases.

In Asia, diabetes-associated death due to cardiorenal diseases were 2–3 times higher in women than men which might be due to gender disparity in quality of care and health habits.

Our group of obesity specialists from Bangladesh, Brunei Darussalam, India, Indonesia, Malaysia, Philippines, Singapore, Sri Lanka, Thailand, and Viet Nam undertook to develop consensus recommendations for management and care of adults and children with obesity in South and Southeast Asia.