Of the 119,464 chronic-liver-disease hospitalizations recorded across Thailand between 2017 and 2022, alcohol-associated liver disease was the leading identified cause, at 30.8 per cent. That is more than chronic hepatitis B and hepatitis C combined: the two viral causes ran 11.3 and 10.3 per cent, totalling 21.6. MASLD, the metabolic kind, accounted for 9.6. The figure comes from a nationwide study published in Scientific Reports in 2025 (Saehan and colleagues), built on national inpatient claims, which is as close to a census of who actually ends up in a Thai hospital bed with a failing liver as the data gets.

There is one correction the headline needs, and it is not a small one. Alcohol is the leading identified cause. It is not the largest single category. The largest category, at 37.5 per cent, was unidentified — cases where the coding recorded no etiology at all. So the honest sentence is narrow: among the causes that have a name, alcohol is first, and it beats the viruses combined. Among all cases, the biggest bucket has no name on it. Drop the word “identified” and the claim quietly inflates.

This piece does two things with that breakdown. It renders it as an artefact, with the unnamed bucket left visibly larger, because the framing is the integrity of the thing. And it reads the one demographic fact the breakdown carries that maps directly onto the people this site is about: the alcohol groups are overwhelmingly male, and the metabolic group is not. It is analysis of population data, not a measurement of any expat.

The etiology breakdown

Here is the whole of it, as a share of the 119,464 hospitalizations. The order is what matters, and so does the gap between “leading identified” and “largest”.

Cause of chronic-liver-disease hospitalization in Thailand, 2017–2022, as a share of 119,464 admissions. Alcohol is the leading identified cause; the unidentified/cryptogenic bucket is the larger raw share.

% of 119,464 CLD hospitalizations

Unidentified / cryptogenic 37.5%
Alcohol-associated (ALD) 30.8%
Chronic hepatitis B 11.3%
Hepatitis C 10.3%
MASLD (metabolic) 9.6%
Other rare causes 0.6%

Source: Saehan et al., Scientific Reports (Nature), nationwide CLD-hospitalization study, Thailand 2017–2022 (NHSO claims) · checked 2026-06-05

Read the bars top to bottom and the structure is plain. The tallest bar is the one with no name. The second is alcohol, and it is more than twice the next bar down. Hepatitis B and C, the diseases that built Thailand’s older liver-screening and vaccination programmes, now sit below alcohol individually and, summed, still below it. The metabolic bar, the one rising everywhere in the world, is fifth.

The unidentified 37.5 per cent is the part a careful reader should sit with, not skip. It is tempting to reallocate it — to assume that undocumented heavy drinking and burnt-out fatty liver are hiding inside the cryptogenic bucket, and that alcohol’s “true” share is higher. It may be. But assigning the unnamed cases to alcohol to make the alcohol number bigger is exactly the move this site refuses. The study reports them as unidentified, most likely from under-reporting in the discharge coding, and that is where they stay. The defensible claim is the one already on the page: of the cases with a cause attached, alcohol leads, and it leads viral hepatitis combined.

Where the disease has already progressed, alcohol’s lead widens. Among hospitalized cirrhosis specifically, ALD was the leading cause at 41.5 per cent of cirrhosis cases. Cirrhosis is most of what fills these beds; admissions held steady at roughly 1,200 to 1,600 a month across the period. So the organ that scars slowly and irreversibly, the end of the runway rather than the start, is the one where drink is most clearly first.

The male curve

The breakdown carries a second figure that the headline does not, and it is the one that points at the reader of this site. The alcohol-related disease groups are male to a degree few disease categories match.

In the study’s patient table, alcohol-associated liver disease ran 83.7 per cent male: 3,278 men of 3,917 patients, a little over five men for every woman. Alcohol-associated cirrhosis ran 75.2 per cent male: 22,686 men of 30,184, about three to one. Take the alcohol groups together and roughly three-quarters of the patients are men.

The number that turns this from “men get sick more” into “alcohol is the male-skewed driver” is the comparison group. MASLD cirrhosis (the metabolic, diet-and-weight kind, the one with nothing to do with drink) was 50.4 per cent male. Near parity. The same hospitals, the same coding system, the same period, and the non-alcohol liver disease splits roughly evenly between the sexes while the alcohol liver disease runs three to five men per woman.

≈3–5×
Male skew of the alcohol-liver groups vs near-parity for metabolic liver disease, Thailand 2017–2022

Alcohol-associated liver disease 83.7% male (≈5:1); alcohol-associated cirrhosis 75.2% male (≈3:1). MASLD cirrhosis, the non-alcohol comparator, 50.4% male (≈1:1). Saehan et al., Scientific Reports, Table 1.

The magnitude is not a Thai peculiarity. A 2023 systematic review and meta-analysis of global alcohol-related liver disease (Niu and colleagues, 372 studies) put worldwide prevalence at 4.8 per cent, with male prevalence at 2.9 per cent against female 0.5, close to six to one. The Thai hospital skew of three to five runs at or below that ratio, in the same direction. Whatever the mechanism, biological tolerance, drinking volume, help-seeking, the disease lands on men.

A note on what this piece does not claim, because the temptation is built into the topic. The study’s own abstract states that Thai liver inpatients are “77 per cent male, median age 45 to 66”. That cohort-wide figure does not survive contact with the patient table: “a median age of 45 to 66” is not a coherent single median, it is a range across etiology subgroups, and the per-subgroup medians run from 45 to 62. So this piece uses the verified per-group figures instead. The alcohol groups present youngest, median 45 for non-cirrhotic ALD and 52 for alcohol cirrhosis, against 62 for the metabolic group. Younger, and male. That is the curve.

The profile match, and the line it stops at

Now the honest limit. The Saehan study is Thai-population data. It is built on the national health-security claims system, which covers Thai nationals; it does not isolate foreigners, and it makes no statement about Western expats. There is no published per-cohort alcohol-liver figure for Western retirees in Thailand. None. A page that gives you one is inventing it, and inventing it would be the exact fabrication this work exists to refuse.

What can be said is narrower and still worth saying. The at-risk profile the curve describes, older, male, drinking at sustained volume, is the demographic profile of the retiree-migration cohort itself. The Westerners who move to Thailand in late life skew male and old by the nature of the move, into destination towns whose foreigner social economy this site has already costed around the bar. That is the money side of the bar-organised evening; the geographic cure names the isolation that removes the brakes a working life used to put on the drinking. The liver is where the same evening shows up later, in a different ledger.

So the transfer is a profile match, not a measurement. The cohort that lives the configuration takes the dose. The data that measures the damage measures Thais. The two read in the same direction, and the gap between them is exactly the expat liver-disease rate nobody has published. The piece will not close that gap with a guess.

The contempt in this work, where there is any, is for the economy engineered to convert a fixed pension into a nightly transaction at the point of loneliest contact — never for the people whose pension and whose liver it converts. The men did what isolated people do: they reached for the structure on offer, and in much of Thailand the structure on offer pours.

Why the liver is the organ that keeps the score

The reason this belongs in a series about the cost of growing old abroad, rather than a public-health bulletin, is the timing. Alcohol-related liver disease is the cleanest example on this site of a daily number whose bill arrives as a single irreversible event, decades later, at the worst point in the financial runway.

The dose-response is steep and has no floor. A 2024 dose-response meta-analysis of alcohol and liver cirrhosis (Llamosas-Falcón and colleagues) found no safe lower threshold and a sharply rising curve: relative to a lifetime non-drinker, cirrhosis-mortality risk rose about 2.65× at 25 grams of alcohol a day, about 6.83× at 50 grams, and about 16.38× at 100 grams. Fifty grams is roughly three and a half US standard drinks of 14 grams each. A hundred is around seven. The “few beers most evenings” that a daily budget files as harmless sits on the climbing part of that curve. The scarring does not undo itself when the drinking stops.

The scale, globally, is not small. The World Health Organization attributes about 2.6 million deaths a year to alcohol (2019 data), roughly 4.7 per cent of all deaths, with around 2 million of them among men. Cirrhosis is one of the dominant categories inside that total. The Thai hospital data is the local cross-section of a global pattern, read at the point where the damage becomes an admission.

What the liver does that the bank account does not is keep the score honestly. A drawdown model can be wrong about a return assumption and you find out slowly. Cirrhosis is not a model. It is a threshold, crossed once, and the body does not reopen the position. When it presents (at a median of 52 for the alcohol-cirrhosis group, which is to say in the years a relocation was supposed to be working) it lands on top of every other cost this site tracks: the insurance that ages out and excludes a pre-existing liver condition, the uninsured hospital bill paid against a deposit at the point of least capacity, the medical evacuation that a failing liver and a thin policy together rule out. The decade hid the number. The liver did not.

What the curve does not show

State the boundaries plainly, because the register of this piece depends on them.

It does not show that any individual expat will get liver disease. The figures are population shares and dose-response risks, not personal probabilities, and the at-risk profile is a description of a structure, not a forecast about a person.

It does not show a measured expat rate. The data is Thai-population; the expat transfer is a profile match, named as such.

It does not show that alcohol is the largest single cause of liver hospitalization in Thailand. The unidentified bucket is larger. Alcohol is the largest named cause, and the difference between those two sentences is the whole of the honest framing.

The data supports one cold sentence, and it is enough. Among the named causes of liver hospitalization in Thailand, alcohol is first; it beats the viruses combined; it presents younger; and it lands on men at three to five times the rate it lands on women, while the non-alcohol liver disease beside it splits evenly. The retiree who moves into the bar-organised evening is moving into the curve the data describes, in the place where the screening, the insurance, and the family that might have noticed are all furthest away. The daily number stays daily. The liver counts the decade.