Health
Experts Call for Overhaul in Obesity Diagnosis Amid Criticism of BMI Reliance
Global health experts have called for a fundamental reevaluation of how obesity is diagnosed, urging a shift from the long-standing reliance on body mass index (BMI) to a more nuanced and individualized approach. The recommendations come from a panel of 56 specialists and patients, who published their findings in The Lancet Diabetes & Endocrinology.
A Complex Condition
Obesity, affecting roughly one in eight people worldwide, is a risk factor for numerous health conditions, including type 2 diabetes, cardiovascular disease, and certain cancers. However, experts argue that it is not always synonymous with ill health. The commission has proposed distinguishing between clinical obesity, a chronic disease marked by organ dysfunction or physical limitations caused by excess fat, and preclinical obesity, where individuals have obesity but maintain normal organ function.
“There are some people who have obesity and manage to live a relatively normal life … and on the other hand, you have [people] who may suffer significant health issues due to obesity alone,” said Dr. Francesco Rubino, the commission’s chair and a professor at King’s College London.
BMI Under Fire
BMI, a measure derived from a person’s weight and height, has been the primary diagnostic tool for obesity since the World Health Organization adopted it in the 1990s. A BMI of 30 or higher classifies an adult as obese. While BMI offers a simple proxy for body fat and related health risks, critics say it is flawed and outdated.
“It’s not just how much fat you have, it’s also where the fat is that’s important,” said Dr. Adam Collins, a nutrition expert at the University of Surrey. He highlighted that BMI does not account for fat distribution or differentiate between fat and muscle mass, leading to potential misclassifications.
Athletes with high muscle mass, for example, may fall into the obese category despite being in excellent health.
A New Framework
The commission has recommended that BMI remain a preliminary screening tool but that an official diagnosis of clinical obesity should involve more comprehensive criteria. These include signs such as obesity-induced breathlessness, heart failure, and joint pain, among others.
Adopting this approach could reduce overdiagnosis and ensure medical care is tailored to an individual’s health needs rather than focusing solely on weight loss. This shift is especially crucial as governments debate how to allocate resources, such as expensive weight-loss drugs like Wegovy and Mounjaro, which are in limited supply.
Changing Perspectives
Beyond medical practice, experts hope the new framework will combat the stigma around obesity and promote better understanding of metabolic health for people of all sizes. “This leads to a change in practice and, maybe even before that, a change in mindsets,” Rubino said.
Though it may take time to implement these changes, advocates believe this step could reshape how obesity is perceived and treated globally.
Health
Study Finds AI Systems Can Repeat Fake Medical Claims When Framed Credibly
“Large language models accept fake medical claims if presented as realistic in medical notes and social media discussions, a study has found.”
As more people turn to the internet to research symptoms, compare treatments and share personal health experiences, artificial intelligence tools are increasingly being used to answer medical questions. A new study warns that many of these systems remain vulnerable to medical misinformation, particularly when false claims are presented in authoritative or realistic language.
The findings, published in The Lancet Digital Health, show that leading artificial intelligence systems can mistakenly repeat incorrect medical information when it appears in formats that resemble professional healthcare documents or trusted online discussions. Researchers analysed how large language models respond when faced with false medical statements written in a credible tone.
The study examined responses from 20 widely used language models, including systems developed by OpenAI, Meta, Google, Microsoft, Alibaba and Mistral AI, as well as several models specifically fine-tuned for medical use. In total, researchers assessed more than one million prompts designed to test whether AI would accept or reject fabricated health information.
Fake statements were inserted into real hospital discharge notes, drawn from common health myths shared on Reddit, or embedded in simulated clinical scenarios written to resemble authentic healthcare guidance. Across all models tested, incorrect information was accepted around 32 percent of the time. Performance varied significantly, with smaller or less advanced models accepting false claims in more than 60 percent of cases, while more advanced systems, including ChatGPT-4o, did so in roughly 10 percent of responses.
The researchers also found that medical fine-tuned models performed worse than general-purpose systems, raising concerns about tools designed specifically for healthcare use.
“Our findings show that current AI systems can treat confident medical language as true by default, even when it’s clearly wrong,” said Eyal Klang of the Icahn School of Medicine at Mount Sinai, one of the study’s senior authors. He added that how a claim is written often matters more to the model than whether it is accurate.
Some of the accepted misinformation could pose real risks to patients. Several models endorsed claims such as Tylenol causing autism during pregnancy, rectal garlic boosting immunity, mammograms causing cancer, and tomatoes thinning blood as effectively as prescription medication. In another case, a discharge note incorrectly advised patients with oesophageal bleeding to drink cold milk, which some models repeated without flagging safety concerns.
The study also tested how AI systems responded to flawed arguments known as fallacies. While many fallacies prompted scepticism, models were more likely to accept false claims framed as expert opinions or warnings of catastrophic outcomes.
Researchers say future work should focus on measuring how often AI systems pass on falsehoods before they are used in clinical settings. Mahmud Omar, the study’s first author, said the dataset could help developers and hospitals stress-test AI tools and track improvements over time.
The authors said stronger safeguards will be essential as AI becomes more deeply embedded in healthcare decision-making.
Health
Moderate Caffeine Intake Linked to Lower Dementia Risk, Study Finds
Health
Growing Research Links Tattoos to Possible Cancer Risks, Experts Say
Tattoos are more popular than ever, but a growing body of research suggests a connection between permanent ink and certain types of cancer. How concerned should the public be?
From tribal sleeves to lower-back butterflies, humans have been inking their skin for thousands of years. For most, the main concern has been the fear of future regrets. However, recent studies suggest that tattoos could carry more serious long-term health risks.
The popularity of tattoos has risen sharply in recent years. Research published in the European Journal of Public Health estimates that between 13 and 21 percent of people in Western Europe now have at least one tattoo. Despite this prevalence, relatively little is known about the potential long-term effects of permanent ink.
Previous studies have shown that tattoo pigments can accumulate in the lymph nodes, sometimes causing inflammation and, in rare cases, lymphoma—a type of blood cancer. A 2025 study by the University of Southern Denmark (SDU) expanded on this, reporting that individuals with tattoos may face higher risks of skin cancer and lymphoma. Using a cohort of randomly selected twins, the researchers found that tattooed participants had nearly four times the risk of skin cancer compared with their non-tattooed siblings.
The study also suggested that tattoo size could affect risk, with designs larger than the palm associated with higher hazard rates.
“We have evidence that there is an association [between the amount of ink and risk] for lymphoma and for skin cancer,” said Signe Bedsted Clemmensen, co-author of the study and assistant professor of biostatistics at SDU. “For lymphoma, the hazard rate is 2.7 times higher, so this is quite a lot. And for skin cancers, before it was 1.6 and now it’s 2.4. This indicates that the more ink you have, the higher the risk, the higher the hazard rate.”
Clemmensen emphasized that these findings remain preliminary, with many variables—including ink types, tattoo placement, and genetic and environmental factors—still under investigation. “The bottom line is, more research is needed,” she said. “But also, the next step I think is studying the biological mechanisms [of getting tattooed] and trying to understand what happens there.”
Experts also note other risks unrelated to cancer. Tattoo inks consist of pigments combined with a carrier fluid to deposit color into the dermis. Some inks, often imported, can contain trace amounts of heavy metals such as nickel, chromium, cobalt, and lead, which can trigger allergic reactions or immune sensitivity. In 2022, the European Union restricted more than 4,000 hazardous substances in tattoo inks under its REACH regulations.
While tattoos are generally considered safe when applied hygienically, the long-term health consequences remain uncertain. “It’s up to each of us how we choose to live our lives, right? But as a researcher, it’s also my job to inform people of these risks,” Clemmensen said. “Or, when it comes to tattooing, right now it’s more about informing people about how little we know.”
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