Aim This rapid review aims to summarize the evidence of weight loss following Metabolic and Bariatric Surgery (MBS) associated with preoperative comorbidities. Methods Electronic databases Medline...

The prevalence of childhood obesity increases throughout development. Obesity results from a positive energy balance, which suggests different trajectories of energy intake and energy expenditure as ...

Research suggests Hypericum perforatum and acupuncture may improve appetite in obesity alongside lifestyle changes, yet no significant body weight differences were noted. What’s the best approach? #ObesityResearch #Acupuncture

A study reveals that the liver acts as a bidirectional hub, exchanging gut-microbiome-derived metabolic products with the heart. A research team supported by FAPESP and working at Harvard University in...

Background: Obesity affects more than one-quarter of adults in the United Kingdom and is a leading cause of preventable disease and health care costs. Digital behavior change programs can provide scalable weight management support, but maintaining engagement is challenging, and engagement is strongly associated with weight loss success. Tailoring interventions to cognitive-behavioral phenotypes, distinct patterns of thinking and behavior, offers one strategy to improve adherence. Although such approaches show promise in controlled settings, evidence from real-world digital programs is limited. Objective: This study evaluated whether phenotype-tailored weekly advice improved engagement and weight loss in a national digital weight management program. Secondary aims were to assess correlations between advice use and outcomes, explore moderation by socioeconomic status, and capture participants’ perceptions of the advice. Methods: We conducted a quasi-experimental study among UK adults enrolled in a free 12-week program commissioned by the National Health Service. Eligible participants were aged 18-80 years with a BMI greater than 25 kg/m². The phenotype group (n=148; mean age 48 years; 127/148, 86% female; mean BMI 39 kg/m²) completed a 17-item questionnaire, were classified into one of 4 phenotypes, and received weekly tailored advice for 7 weeks. Comparators included a historical cohort enrolled 1 year earlier without phenotype advice (n=241; mean age 44 years; 171/241, 71% female) and nonresponders who did not complete the questionnaire (n=394; mean age 44 years; 299/394, 76% female). Primary outcomes were program engagement (any in-app activity such as meal logging, activity tracking, content reading, or coach messaging) and self-reported weight. Results: The phenotype group recorded a mean of 257 (SD 232) engagements over 7 weeks, significantly higher than both the historical cohort (mean 159, SD 187; P

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A landmark study finds waist-to-height ratio more effective than BMI in identifying obesity risk, as central fat levels rise across the UK population.

For 60 years, HSL was known for releasing energy from fat, but people born without it lose fat instead of gaining weight—a mystery that Prof. Langin and colleagues have now solved. After six decades...

New data show the MyPhenome test accurately predicts GLP-1 response and obesity risk across diverse populations.

New data show the MyPhenome test accurately predicts GLP-1 response and obesity risk across diverse populations.

Could this be a turning point?

Neuromics is pleased to announce the release of five new human cell types for research in diabetes and obesity. Our new selection offers unique opportunities for disease-specific models, as we've chos...

New research from the University of Auckland’s Liggins Institute suggests that a capsule containing healthy gut bacteria could potentially change the future of obesity treatment. Eight years ago, a...

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