Forscher quantifizieren die Rolle der Reduzierung von Fettleibigkeit bei der Vorbeugung häufiger Erkrankungen: Die Reduzierung des BMI verringert das Risiko für 61 von 71 analysierten häufig gleichzeitig auftretenden Erkrankungen
Researchers quantify role of reducing obesity in preventing common conditions
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>The research specifically measured how much weight reduction would reduce the risk of the next diagnosis. In the largest study of its kind, published in Communications Medicine – Nature, the team led by the University of Exeter Medical School studied 71 conditions which often occur together, such as type 2 diabetes and osteoarthritis, or kidney disease and chronic obstructive pulmonary disease (COPD).
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>The GEMINI study, funded by the UKRI Medical Research Council and supported by the National Institute for Health and Care Research (NIHR), used genetics and healthcare data drawn from a number of large datasets internationally. They found that obesity was part of the cause for 61 of the 71 conditions. They also found that obesity explained all of the genetic overlap in ten pairs of conditions, suggesting it is the main driver for why they frequently occur together.
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>Body mass index, or BMI, is a scaled measure of weight – a number over 30 units indicates obesity, while less than 25 indicates “normal” weight. The study quantified how much a reduction in BMI would reduce the risk of both conditions at a population level for people overweight or living with obesity. For example, for every thousand people who have both chronic kidney disease and osteoarthritis, a BMI reduction of 4.5 units would have prevented 17 of them developing both conditions or nine people per thousand with type 2 diabetes and osteoarthritis.
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[Genetics identifies obesity as a shared risk factor for co-occurring multiple long-term conditions | Communications Medicine](https://www.nature.com/articles/s43856-025-01347-y)
I wish we had more research that measured actual fat mass instead of BMI, which can be very misleading.
I was borderline overweight per BMI even as I was rocking a six-pack as a bodybuilder.
I clicked here expecting to be motivated to get in better shape, but then I read those results. Only 17 out of 1000 cases would be prevented by dropping BMI by 4.5. That’s a pretty huge drop in weight and not many people saved.
Sadly I don’t think this will do anything to sway the GLP-1 skeptic group. They’ll still have an irrational opposition to their use despite the mountains of evidence of how bad the comorbidities of obesity are.