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What does the withdrawal-extension data say about regain trajectory?

Asked 21 Jan 2026Modified 4 months agoViewed 7.6k times
22

Scale weight, waist circumference and a repetition maximum, all logged weekly.

I would like help reading this properly rather than being told what conclusion to reach.

I have the full report including the method section, so I can quote specifics if that helps.

What would I need in addition before this supported a decision?

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askedfelix_araya17k2821 Jan 2026
This is the answer I was looking for three months ago. – leonid_marchuk 5 months ago
8The arithmetic checks out. I ran the same numbers and got the same result. – vialroom 3 months ago
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5 Answers

Accepted answer first, then by votes
15

Accepted answer

The relevant detail is that start with the arithmetic, because the answer to the practical question is usually a number and the number is usually achievable.

DEXA precision is better than people assume for fat mass and worse than people assume for lean mass in a single scan — the least significant change for regional lean mass on a well-maintained scanner is on the order of a few per cent. That means two scans three months apart can differ without anything having happened, and it means a scan sequence needs to be at least three points before a trend is interpretable.

Protein target arithmetic

Body mass1.2 g/kg1.6 g/kg2.0 g/kgPer meal at 1.6 (÷3)
62 kg74 g99 g124 g33 g
74 kg89 g118 g148 g39 g
88 kg106 g141 g176 g47 g
103 kg124 g165 g206 g55 g
124 kg149 g198 g248 g66 g

At roughly 4 kcal per gram, 141 g of protein is about 564 kcal — a substantial fraction of a 900 kcal budget, which is the real constraint.

It helps to be literal here: fibre at very low total intake is a trap. Soluble fibre needs water and motility to work; insoluble fibre adds bulk to a slow transit. At 900 kcal a day with delayed gastric emptying, an osmotic agent is more predictable than a bulking one, and adequate fluid is doing more work than either.

The evidence for a higher protein intake preserving lean mass during an energy deficit is reasonably strong in resistance-trained populations and weaker in sedentary ones, with the meta-analytic estimates supporting intakes in the region of 1.6 g/kg over lower intakes when training is present[1].

The limitation of the arithmetic is that it assumes intake is being measured accurately, and self-reported intake is systematically underestimated by a substantial margin.

The plateau is arithmetic. Treat it as arithmetic and the response follows.

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answered · accepteds_kalniete47k3814 Mar 2026
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8

Worth being precise here: the mechanism is worth having straight, because it predicts which interventions can work and which cannot.

Absolute strength holds up better than scale weight during a deficit for a straightforward reason: strength is substantially neural and skill-based, and the contractile tissue you retain is being trained harder relative to its size. Grip strength and repetition maxima are therefore lagging indicators of muscle loss rather than leading ones, which is an argument for measuring both.

In practice, hydration state moves a DEXA lean-mass figure directly, because the algorithm assigns water to the lean compartment. Scanning fasted, at the same time of day, before training and without a recent high-carbohydrate day is the difference between a comparable sequence and a noisy one. Bioelectrical impedance is far more sensitive to hydration again, which is why its trend is unusable at this timescale.

The STEP 1 extension reported substantial regain in the year after treatment withdrawal, with weight and cardiometabolic variables trending back toward baseline[1].

The caveat is that population averages tell you about populations. Your own trajectory is a sample of one and should be read as a trend, not as a deviation from a published mean.

Measure strength as well as mass. It is cheaper, it is less noisy, and it is closer to what you actually care about.

edited 3 Mar 2026 by meniscus_film — clarified the distinction between purity and content

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answeredmeniscus_film34k383 Mar 2026
2Note that the label instructions differ between agents on precisely this point. – Dr_Hanne_Solberg 4 months ago
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6

To be exact about it, the distinction that resolves this is between proportional loss and functional loss. Losing lean mass in proportion to total mass is what happens in every weight loss intervention. Losing function is not, and function is measurable.

Cardio does not interfere with lean-mass retention at the volumes anyone here is doing; the interference effect in the literature appears at high concurrent volumes in trained athletes. What cardio does at a large deficit is add to the deficit, which is either the point or a problem depending on the objective.

Protein target, worked: at 88 kg, a target of 1.6 g/kg is 88 × 1.6 = 141 g per day. Spread across three eating occasions that is roughly 47 g each, and the leucine threshold for a maximal muscle protein synthetic response is met at around 2.5 to 3 g of leucine, which corresponds to roughly 30 to 40 g of a high-quality protein. So three meals at 40 g plus one 25 g snack gets you to 145 g and clears the per-meal threshold each time. On 900 kcal that leaves about 340 kcal for everything else, which is the actual constraint.

Adaptive thermogenesis — a fall in energy expenditure beyond that predicted by the change in body composition — is documented across weight-loss interventions and is the mechanistic basis for the plateau being expected rather than anomalous.

A maintenance plan written before you need it is worth more than a better loss plan.

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answeredpetra_hovland42k3825 Mar 2026
3

Put another way, the commonly quoted figures for lean-mass loss are mostly measurement artefacts, and the artefact is well understood: fat-free mass as measured includes water and glycogen, both of which fall early and neither of which is contractile tissue.

Food noise returning is not obviously tolerance. Receptor desensitisation is one hypothesis; a second is that the initial effect was partly novelty and partly the steep early deficit, and a third is that intake has drifted upward and the signal is being outcompeted rather than weakened. The three make different predictions about what a dose increase would do.

The body-composition substudies in the major programmes consistently report that the proportion of weight lost as fat mass is approximately three quarters or better, with the lean-mass fraction falling within the range seen in dietary weight loss of comparable magnitude[1].

Train, eat the protein, measure something functional, and give the trend three months before you interpret it.

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answeredlipid_panel_q44k1385 Apr 2026
-3

On the detail: a plateau at four to six months is the expected shape of the curve, not a failure of it. Energy expenditure falls with mass, and the deficit closes itself unless intake falls further.

The first four weeks of loss is substantially fluid and glycogen. Each gram of stored glycogen carries roughly three grams of water, and total glycogen is on the order of 400 to 500 g, so the obligatory water shift alone accounts for a couple of kilograms. This is why the first month looks dramatic and the second looks like a plateau when in fact the fat-loss rate has not changed.

SURMOUNT-4 provides the cleanest maintenance-versus-withdrawal contrast available in the class, and it is the reference for any claim about what happens after stopping[1].

Two resistance sessions a week and a protein target you actually hit will do more than any refinement beyond them.

edited 3 Mar 2026 by RP_C18 — added the citation requested in comments

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answeredRP_C1885k15820 Feb 2026
6Confirming from the other direction: I did the wrong thing and got exactly the predicted outcome. – nkem_obiora 10 months ago
5Is there a reason to prefer the second method over the first, other than cost? – Dr_Yusuf_Adeyemi 8 months ago
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