Is BMI useless for liver risk?

No. BMI is still a valid population-level tool, and the study found the newer definitions did not beat it for predicting liver events. The point is that waist-based measures add information BMI misses, especially for liver risk.

How do I calculate waist-to-height ratio?

Divide waist circumference by height, both in the same unit. A value approaching 0.6 was associated with higher liver event risk in this study. It is a screening signal, not a diagnosis.

Which foods help reduce visceral fat?

The same Mediterranean framework the AASLD 2023 guidance recommends: fish, legumes, whole grains, vegetables, olive oil. In this database those are the foods rated Recommended, and sugary beverages - rated Limit - are the clearest swap target.

New Obesity Definitions and Liver Risk: Why Waist-to-Height…

A study published in Hepatology in July 2026 tackled a question that matters for anyone with fatty liver: which definition of obesity best predicts who will have a serious liver event? The research team, led by Chinese University of Hong Kong investigators, analyzed data from 12,583 patients across international cohorts, comparing three frameworks: BMI alone, the EASO criteria, and the Lancet Commission definition.

The results were a useful reality check. The EASO and Lancet definitions reclassified 20.4% and 34.1% of previously non-obese patients as obese, respectively. But those newly reclassified groups did not show a significantly higher risk of liver-related events. In other words, the newer, more expansive definitions made more people count as obese without improving prediction. The one metric that did stand out: a waist-to-height ratio approaching 0.6 was tied to meaningfully higher liver event risk.

Why waist measurement beats the scale for liver risk

Body fat distribution is the connection. Visceral fat - the fat packed around organs, reflected in waist circumference - is metabolically active in ways that subcutaneous fat is not. It feeds the liver through the portal circulation, which is one reason central obesity tracks with liver fat and fibrosis progression. BMI captures total mass, not distribution, which is why two people with the same BMI can have very different liver risk.

The food side of this is practical. The AASLD 2023 guidance for MASLD puts 5-10% weight loss at the center when weight is a factor, and the Mediterranean pattern it recommends is one of the more reproducible ways to move both the scale and the waistline. The database on this site gives portion and frequency guidance for foods that make that pattern concrete: fish, legumes, whole grains, vegetables, olive oil, and fruit.

What this means for how you track progress

If you are managing MASLD, the study is a small nudge toward measuring more than weight. A tape measure at the waist - or the waist-to-height ratio, which you can compute as waist in inches divided by height in inches - gives you information BMI hides. A ratio heading toward 0.6 is a signal that the metabolic pattern, including diet, may need tightening, regardless of what the scale says.

Food choices that reduce visceral fat overlap heavily with the Recommended list in this database: foods low in saturated fat share, free of added sugar, minimally processed. Sugary beverages are a clear example - the database rates them Limit, and their link to visceral fat and liver fat is among the most consistent findings in the literature. Swapping them for water, coffee, or unsweetened tea is a measurable, repeatable change.

The measurement the study flagged

Waist-to-height ratio of 0.6 is the round number the researchers highlighted. For most adults, that means a waist about 60% of height - for a 5'9" person (69 inches), roughly 41 inches. It is a screening-style signal, not a diagnosis. But it is a cheap, private, repeatable measurement, and the study adds it to the case that where fat sits matters as much as how much there is.

The takeaway for the plate: the Mediterranean framework and the foods rated Recommended here are aimed at exactly the visceral fat the study flagged. The database makes it per-food and per-portion, which is the level of detail a tape measure cannot give you.

Why the plate changes even when the scale does not

There is a subtlety in the Hepatology finding worth sitting with: the new obesity definitions reclassified more people as obese, but the reclassified group did not carry higher liver event risk. That is a reminder that classification labels matter less than the biology underneath. What the waist-to-height signal adds is a measure of distribution - where the fat sits - rather than just how much there is. And distribution is exactly what food choices shape over time.

Visceral fat responds to the same levers the database encodes. Saturated fat share, added sugar, and processing level are the three criteria in the AASLD 2023 framework, and they are the three levers that move visceral fat. A pattern built on the Recommended list - fish, legumes, whole grains, vegetables, olive oil - is a pattern that trims the waistline over months, which is the measurement the study flagged as the meaningful one.

The grocery-list translation

Concretely, the study's waist signal supports prioritizing foods the database rates Recommended and portioning the Moderation foods. Sugary beverages are the clearest single lever - they are rated Limit, and their association with visceral fat is one of the most replicated findings in the literature. Whole fruit over juice, whole grains over refined, fish over processed meats, water and coffee over sweet drinks: each swap is small, and each is a step the waist-to-height ratio will eventually record.

It is also worth noting what the study did not say. It did not say waist circumference replaces BMI in the clinic. It did not say everyone above a 0.6 ratio has fatty liver. It said the newer obesity definitions did not beat BMI for prediction, and that waist-based measurement deserves a closer look. The food response is unchanged: keep the pattern tight, and let the tape measure be one of several signals.

What a waist measurement adds in practice

The tape measure is free, repeatable, and private - three advantages that matter for a metric people are supposed to track over years. Waist-to-height ratio removes some of the height bias that makes raw waist cutoffs awkward across populations. A ratio heading toward 0.6 is the signal the study flagged, and it can be rechecked monthly without a clinic visit. That is the practical case for adding it to the scale.

It pairs naturally with the food database because the database is built around levers that move waist circumference: saturated fat share, added sugar, processing level, and portion. The Moderation column exists for foods that fit in a balanced pattern in controlled portions; the Limit column is for foods whose pattern contribution is mostly negative. Swapping one Limit item for a Recommended one is a monthly tape-measure project.

What we did with the waist-to-height finding

This one changed how our editorial team thinks about tracking, because it is a measurement a person can actually take at home. After the study came out, we tested the waist-to-height ratio against our own data assumptions: the foods our database rates Recommended are the ones the visceral-fat literature favors, and the Limit foods (sugary drinks especially) are the ones most consistently linked to central fat. The measurement and the food pattern line up, which is why the study made our coverage list.

Our data analyst also checked the numbers in the study - 12,583 patients across international cohorts - and noted that the reclassification finding (newer obesity definitions not beating BMI) is a useful check on hype. It keeps our framing honest: the tape measure adds information, it does not replace the scale, and the food pattern is the lever that moves both.

This is dietary reference information, not medical advice. Always consult your healthcare provider before making dietary changes.

New Obesity Definitions and Liver Risk: Why Waist-to-Height May Matter More Than BMI