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STAT+: BMI alternative would flip obesity diagnosis for millions, study finds
Publication: STAT
Author: Andrew Joseph
Source published: 11/11/2026, 16:00:00 UTC
Briefing created: 12/11/2026, 02:48:51 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 11/11/2026, 22:06:25 UTC.
Briefings
A new study published in Nature suggests an alternative diagnostic framework could flip obesity diagnoses for millions, potentially improving patient care by accounting for body composition differences. The research challenges the standard BMI metric, which is deeply entrenched in regulatory and insurance systems. The study argues that current BMI fails to consider where fat is stored, which could lead to better outcomes for patients. The Lancet commission previously proposed a pathway to identify people whose health is being hurt by weight, though this specific study focuses on a different diagnostic approach.
Key points
- A new study published in Nature proposes an alternative diagnostic framework that could flip obesity diagnoses for millions, potentially improving patient care by accounting for body composition differences.
- The study challenges the standard BMI metric, which is deeply entrenched in regulatory and insurance systems, arguing it fails to consider where fat is stored.
Context
The study challenges the standard BMI metric, which is deeply entrenched in regulatory and insurance systems, arguing it fails to consider where fat is stored. The research stems from an effort to come up with a different diagnostic framework, building on a Lancet commission proposal from last year.
Limitations
The evidence is limited to a single study published in Nature. The study does not provide data on the actual number of people affected, nor does it offer long-term outcomes or causal claims about the effectiveness of the proposed framework. The Lancet commission proposal mentioned is from last year and does not provide specific details on its proposed pathway.
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