Weight Guide · Overview

Understanding weight as a whole: every building block at a glance

Hormones, blood sugar, inflammation, sleep and the GLP-1 injection. Why the body defends a weight, which control loops have a say in it, and where each single building block belongs.

SJ
Shukri Jarmoukli · Physician · Area of focus: integrative medicine · ViveCura Berlin
32 sources with a DOI 3 guidelines incorporated Last updated August 2026
My starting point

Energy balance is not wrong. It is simply not an explanation. It describes what happens, and never why someone eats more and burns less. Anyone who wants to understand weight looks at the control loops behind it.

You step on the scale in the morning. The same number as three weeks ago.

And yet you really did eat less. You took the stairs instead of the lift. You left the bread on the table even though it smelled good. And still there is that number, unimpressed by everything you did.

Then comes the sentence you probably already know. Eat less, move more. It is even correct in physical terms. It just explains about as much as the observation that an account gets emptier when you withdraw more than you pay in.

Many people know this pattern. In my consultations the conversation almost always begins with the same question: what am I doing wrong?

So I do not start with a plan. I start with a map. Because weight is not a switch, it is a control system with many adjusting screws. Some of them are well studied. Others are mechanistically plausible but thin on human evidence. And others again are made bigger on the internet than the data allow.

This text sorts that out. It picks up each building block once, says how well documented it is, and then sends you on to the article that covers it in depth.

What to expect here

  • Why "eat less, move more" falls short as an explanation
  • Building block hormones: insulin, leptin and the satiety hormones
  • Building block blood sugar: what the curve says about appetite
  • Building block inflammation: silent fire and visceral fat
  • Building block sleep: the most cleanly measured lever in the field
  • Building block GLP-1 injection: benefit, muscle share and relapse
  • Stress, cortisol and the body clock
  • Thyroid, menopause, PCOS and testosterone
  • Microbiome, medication and muscle mass, placed honestly
  • The quality of food: why the same calorie lands differently
  • When eating becomes a struggle, and why that belongs here
  • Which diagnostics carry weight, and what remains over years
First: signs that belong in a medical assessment before anything else

Before the control loops, this belongs up front. With unintended and rapid weight loss, with binge episodes accompanied by a feeling of losing control, with vomiting, laxatives or excessive exercise after eating, and with periods stopping without another explanation, the next step is not a nutrition plan but a medical or psychotherapeutic conversation. The full list appears further down in the section when eating becomes a struggle, and in detail in understanding eating disorders: body and mind.

RCT / Meta randomised or pooled Human cohort, cross-sectional, intervention study Animal model in the living organism, not in humans Ex vivo tissue in the laboratory, a single endpoint

Why "eat less, move more" falls short as an explanation

Let us start with what is true. If you take in less energy than you use over a longer period, your weight falls. That is thermodynamics and nobody argues with it, myself included.

The problem lies elsewhere. Energy balance is bookkeeping. It tells you that the numbers add up in the end. It never tells you why you were standing at the fridge at half past ten last night without being hungry at all. And it does not tell you why your body suddenly burns less than before after eight weeks of dieting.

Both have been measured. And remarkably cleanly.

Inpatient study, n=41 The body does the maths in reverse

Leibel, Rosenbaum and Hirsch studied 18 people with obesity and 23 never-obese people under inpatient conditions in 1995. Measurements were taken at baseline weight, after a loss of 10 to 20 percent and after a gain of 10 percent.

At a weight reduced by at least 10 percent, total energy expenditure fell by 6 plus minus 3 kcal per kilogram of fat-free mass per day in the never-obese participants and by 8 plus minus 5 kcal in those with obesity. At 10 percent excess weight, expenditure rose in the opposite direction. The effect depended neither on the degree of obesity nor on sex.

For you this means: your body works against every change in weight, downwards as well as upwards. That is not a character problem. That is control engineering.

Leibel RL, Rosenbaum M, Hirsch J. N Engl J Med. 1995;332(10):621-8. PMID: 7632212 · DOI: 10.1056/NEJM199503093321001 [Cohort, n=41]

Now it gets interesting. Because the same research group showed ten years later what this counter-regulation hangs on.

Intervention study, n=10 One hormone turns the adaptation back

In 2005 Rosenbaum and colleagues had ten inpatient participants pass through three states: usual weight, weight reduced by 10 percent, and weight reduced by 10 percent with low-dose leptin brought back to the baseline level.

Under the leptin, energy expenditure, skeletal muscle work efficiency, sympathetic tone and the circulating concentrations of thyroxine and triiodothyronine returned to the values seen before the weight loss.

For you this means: the state after losing weight resembles a relative leptin deficiency. The feeling cold, the tiredness and the constant hunger after a diet are not imagined. One thing matters here: leptin was a research tool in a study, not a treatment route for practice.

Rosenbaum M, Goldsmith R, Bloomfield D et al. J Clin Invest. 2005;115(12):3579-86. PMID: 16322796 · DOI: 10.1172/JCI25977 [Cohort, n=10]

And then there is the part nobody feels. Because your body cares not only about how much you eat. It also cares about how much you move without noticing.

Overfeeding protocol, n=16 Fidgeting as a metabolic factor

In 1999 Levine, Eberhardt and Jensen gave sixteen non-obese volunteers 1000 kcal per day above maintenance for eight weeks, all under measurement.

Two thirds of the rise in total expenditure came from non-exercise activity thermogenesis, meaning fidgeting, postural work and everyday movement. This one variable explained tenfold differences in fat storage and predicted who resisted the gain (r = 0.77; P < 0.001).

For you this means: part of what looks like metabolic luck from the outside is unconscious movement. And it is exactly this movement that the body quietly turns down in a calorie deficit, without asking you.

Levine JA, Eberhardt NL, Jensen MD. Science. 1999;283(5399):212-4. PMID: 9880251 · DOI: 10.1126/science.283.5399.212 [Cohort, n=16]

That leaves the study most often quoted online and most often misunderstood.

Please read this correctly

The Biggest Loser follow-up, and what it does not show

In 2016 Fothergill and colleagues studied fourteen participants of a US television show six years after the competition. At the end of the competition, weight loss was 58.3 plus minus 24.9 kilograms and resting expenditure sat 610 plus minus 483 kcal per day below baseline. Six years later, 41.0 plus minus 31.3 kilograms were back, and resting expenditure was 704 plus minus 427 kcal per day below the start.

These numbers are told almost everywhere like this: a broken metabolism caused the regain. That is precisely what the data do not say. The correlation between the adaptation at the end of the competition and later regain was r = minus 0.1 (P = 0.75). So practically zero.

What the paper actually shows: the adaptation lasts a long time, and it is proportional to the current deviation from baseline weight. Those who had kept more weight off after six years also had the stronger reduction in expenditure (r = 0.59; P = 0.025).

And the framing belongs with it. Fourteen people, extreme weight loss on camera and under competition conditions. That is not a picture of ordinary weight loss and carries no general statements about diets.

Fothergill E, Guo J, Howard L et al. Obesity (Silver Spring). 2016;24(8):1612-9. PMID: 27136388 · DOI: 10.1002/oby.21538 [Cohort, n=14]

Why does a body defend a weight that harms it at all? The most honest answer is: because it was built for a different problem than yours. For most of human history, scarcity was the danger and not abundance. A system that reads every loss as a threat and pushes back was an advantage for a long time. Today the same regulation sits in a world where food is available without pause.

That is not an excuse. It is an explanation for why willpower regularly comes off worse at this point. Willpower is a conscious resource. Counter-regulation runs unconsciously and around the clock.

Reframe

The sentence "I have failed" does not describe a character. It describes a control system that did exactly what it was built to do.

The more useful question is therefore not: why am I not disciplined enough? It is: which adjusting screws of this system are currently set unfavourably for me, and which of them can I actually move?

And now you know why a map does more than another plan.

More on the concept of the calorie and its limits is in the calorie myth and in a calorie is not a calorie. Here we continue with the building blocks themselves.

The building blocks, part 1: blood sugar, insulin and the satiety hormones

Picture your fat tissue as a warehouse. Insulin is then the person at the loading bay who takes goods in and keeps the doors shut while deliveries are arriving. As long as insulin is high, storage happens and little is released. That is not a conspiracy, that is the normal job of the hormone.

After a meal, blood sugar rises, insulin goes up, the sugar disappears into the cells. If that happens often and forcefully, the response of the cells can weaken over time. Then it takes more insulin for the same effect. That is called insulin resistance, and it is one of the most common findings of all in weight topics.

In practice, a permanently high insulin level means two things. The warehouse stays in intake mode. And the blood sugar curve becomes more restless, with deeper troughs after the peaks. It is exactly these troughs that you feel as sudden craving, often two to three hours after eating.

How you can read and influence this curve is covered in detail in insulin resistance and weight loss, in avoiding blood sugar spikes and in what a CGM sensor shows.

Leptin: the signal that arrives and is not answered

Leptin is the fill-level gauge. Fat tissue releases it, the brain reads off how full the stores are. That sounds like a perfect solution: a lot of fat, a lot of leptin, little hunger.

Except it does not work that way in obesity. And the reason has been known since 1996.

Cross-sectional, n=275 Not too little, but too much

Considine and colleagues measured serum leptin in 136 normal-weight and 139 people with obesity, plus gene activity in fat cells from 27 people in each group.

Mean leptin concentration was 31.3 plus minus 24.1 nanograms per millilitre in obesity against 7.5 plus minus 9.3 at normal weight (P < 0.001), with a strong positive correlation to body fat percentage.

For you this means: the satiety signal is not missing. It is simply answered less well. Only this finding makes the term leptin resistance meaningful at all, and it explains why leptin from outside is not a route to weight loss.

Considine RV, Sinha MK, Heiman ML et al. N Engl J Med. 1996;334(5):292-5. PMID: 8532024 · DOI: 10.1056/NEJM199602013340503 [Cohort, n=275]

How long this shift lasts after a diet was measured by an Australian research group. The figure from it appears on hardly any German advice page.

Intervention study, n=50 One year later, still shifted

Sumithran and colleagues followed 50 people with overweight or obesity and without diabetes through a ten-week programme with very low energy intake. Hormones and appetite were measured at the start, after 10 weeks and after 62 weeks.

After a mean loss of 13.5 plus minus 0.5 kilograms, leptin, PYY, cholecystokinin and insulin fell, while ghrelin, GIP and pancreatic polypeptide rose. Subjective appetite rose (P < 0.001). A full year after the weight loss, all seven of these hormones were still significantly different from baseline, and so was hunger.

For you this means: if you still eat differently a year after the diet than you did before, that is not weakness of will. It is the measured hormonal state of a reduced body.

Sumithran P, Prendergast LA, Delbridge E et al. N Engl J Med. 2011;365(17):1597-604. PMID: 22029981 · DOI: 10.1056/NEJMoa1105816 [Cohort, n=50]

GLP-1, PYY and ghrelin: the reporting chain around the meal

Alongside insulin and leptin, a second system works on a much shorter cycle. Ghrelin comes mainly from the stomach and reports hunger. It rises before the meal and falls afterwards. GLP-1 and PYY come from the gut as soon as food arrives there, and they report satiety to the brain.

These three are the reason why one meal carries you for a different length of time than another, even though the same amount of energy was on the plate. What keeps the gut busy longer reports satiety longer. What slipped through in five minutes reports almost nothing.

And this is exactly the system the GLP-1 injections act on. They mimic GLP-1. We come to that in detail later. All that matters here: this is not an exotic foreign body in metabolism, it is the amplification of a signal that is already there.

If you want to go deeper: appetite regulation: hunger and satiety explains the reporting chain in detail, food cravings takes on the attacks themselves, and GLP-1 the natural way shows what the body can do here on its own.

Reframe

Hunger is not a character trait. Hunger is a message that arrives from several sources at once: from fat tissue, from the stomach, from the gut and from the blood sugar course of the past few hours.

Anyone trying to drown out this message with discipline is fighting a reporting system and not themselves. So the more interesting question is which of the sources is currently sending too loudly.

And now you know why "just eat less" so often passes biology by.

The building blocks, part 2: stress, sleep and the body clock

There are phases in which everything shifts at once. Work picks up, the nights get shorter, dinner moves later. And suddenly there is a belly that was not there before, even though nothing changed on the shopping list.

Many people know this sequence. First the stress, then the sleep, then the weight. Scientifically, though, these two building blocks are documented very differently well, and I want to make that difference visible.

Cortisol: real, but smaller than its reputation

Cortisol is the hormone that gets you going in the morning and provides energy under strain. Under lasting strain it stays raised, and then it shifts two things: appetite towards quickly available energy, and fat distribution towards the abdomen.

Cohort, n=2,527 Hair as a long-term store

Jackson, Kirschbaum and Steptoe measured cortisol in the two centimetres of hair closest to the scalp in 2,527 participants of the English Longitudinal Study of Ageing, alongside measured height, weight and waist circumference.

Hair cortisol correlated positively with weight (r = 0.102), BMI (r = 0.101) and waist circumference (r = 0.082). The association was clearest not with the onset but with the persistence of obesity over four years (F = 12.70; P < 0.001).

For you this means: chronic stress is linked with abdominal fat and even more strongly with weight staying. But the correlations are small, and a correlation is not a cause.

Jackson SE, Kirschbaum C, Steptoe A. Obesity (Silver Spring). 2017;25(3):539-544. PMID: 28229550 · DOI: 10.1002/oby.21733 [Cohort, n=2527]

How to read this: [mechanistically plausible, associations small]. Cortisol is a player, not a main cause. If someone tells you that your weight comes from stress alone, that goes beyond the data. I describe the link between the stress axis and blood sugar in nutrition, blood sugar and cortisol, and the axis itself in cortisol and the HPA axis.

Sleep: the most cleanly measured building block in the whole field

With sleep the situation is different. Here there are controlled laboratory studies in which everything stayed the same except time in bed. That is the kind of design that suggests causality rather than mere association.

RCT, crossover, n=12 Two short nights, measured craving

Spiegel, Tasali, Penev and Van Cauter had twelve healthy young men spend two days with shortened and two days with extended sleep, with controlled calorie intake and activity.

After the shortening, leptin was 18 percent lower (P = 0.04), ghrelin 28 percent higher (P < 0.04), hunger 24 percent higher (P < 0.01) and appetite 23 percent higher (P = 0.01). The strongest rise was in the desire for calorie-dense, carbohydrate-rich foods, by 33 to 45 percent (P = 0.02).

For you this means: reaching for something sweet after a short night is measurable. It even targets the carbohydrate-rich things specifically. The authors name the limit themselves: only twelve young men, and no energy expenditure measured.

Spiegel K, Tasali E, Penev P, Van Cauter E. Ann Intern Med. 2004;141(11):846-50. PMID: 15583226 · DOI: 10.7326/0003-4819-141-11-200412070-00008 [RCT, n=12]
RCT, crossover, n=10 Same calories, different loss

Nedeltcheva and colleagues had ten adults with overweight go through the same moderate calorie restriction twice for fourteen days, once with 8.5 and once with 5.5 hours of sleep opportunity per night.

The sleep restriction lowered the share of weight loss that came from fat by 55 percent (1.4 against 0.6 kilograms; P = 0.043) and raised the loss of fat-free mass by 60 percent (1.5 against 2.4 kilograms; P = 0.002). Alongside this came more hunger and a shift of substrate use away from fat burning.

For you this means: with an identical amount of calories, sleep has a say in whether you lose fat or muscle. That is the clearest evidence that balance alone does not determine the composition of the loss.

Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Ann Intern Med. 2010;153(7):435-41. PMID: 20921542 · DOI: 10.7326/0003-4819-153-7-201010050-00006 [RCT, n=10]

Why this happens can even be traced into the fat cell.

Ex vivo, n=7 The insulin signal inside the fat cell

Broussard and colleagues had seven healthy lean adults spend four nights with 4.5 against 8.5 hours in bed, on a controlled diet. Fat cells were then taken from subcutaneous fat tissue and treated in the laboratory with rising insulin concentrations.

The ability of insulin to raise phosphorylated Akt was reduced after the sleep restriction. So not only the blood value, but the response of the cell itself.

For you this means: there is a direct mechanistic bridge between sleep and blood sugar. Limit of the statement: only seven people, a single endpoint in the test tube, no weight data.

Broussard JL, Ehrmann DA, Van Cauter E, Tasali E, Brady MJ. Ann Intern Med. 2012;157(8):549-57. PMID: 23070488 · DOI: 10.7326/0003-4819-157-8-201210160-00005 [RCT, n=7]

That leaves the question of whether all this holds outside the sleep laboratory too. There has been an answer to that since 2022, and in my view it is the most important figure in this whole chapter.

RCT, real-life conditions, n=80 One counselling session, measurably less food

Tasali and colleagues randomised 80 adults between 21 and 40 years with overweight, who habitually slept less than 6.5 hours, to a single sleep hygiene counselling session against their usual sleep. No diet, no training plan. Energy intake was determined with doubly labelled water.

Sleep duration rose by about 1.2 hours per night. Energy intake in the sleep group was 270 kcal per day lower than in the control group (95 percent confidence interval minus 393 to minus 147; P < 0.001). Nothing significant changed in total energy expenditure, so a negative balance resulted.

For you this means: in this study, people ate less without anyone having talked to them about food. The figures are study data and not a target for your everyday life.

Tasali E, Wroblewski K, Kahn E, Kilkus J, Schoeller DA. JAMA Intern Med. 2022;182(4):365-374. PMID: 35129580 · DOI: 10.1001/jamainternmed.2021.8098 [RCT, n=80]

How sleep, the gut and the body clock connect is covered in sleep and the gut microbiome.

Reframe

Sleep counts as a footnote in weight guides and as one of the best documented levers of all in research. That ranking is the wrong way round.

If you want to work on a single adjusting screw and do not know which one, the night is a good candidate. Not because it is magic, but because it measurably carries through to appetite, insulin response and the composition of a weight loss.

And now you know why the fridge calls more loudly after a short night.

The building blocks, part 3: thyroid, menopause, PCOS and testosterone

There is a sentence I hear often: I had everything tested, it was all normal. And still the body has changed. This section sits exactly in that gap.

The thyroid: important, but rarely the whole explanation

Thyroid hormones set the baseline speed of metabolism. When they are missing, everything slows down, energy expenditure included. Overt underactivity should therefore be ruled out when weight rises without an obvious reason.

Guideline position

What the German S3 guideline says about the thyroid

The recommendation
TSH should be measured to work up overt hypothyroidism as a possible hormonal cause of obesity. This is a new recommendation in version 5.0 from 2024, adopted by expert consensus with 94 percent agreement.
The addition that almost nobody quotes
Subclinical hypothyroidism is not necessarily linked with weight gain. Hypothyroidism is found in about 5 percent of the population. Above a TSH of 4 mU/l, further work-up should follow, with a repeat TSH, fT4 and TPO antibodies.
Why the guideline is worded so cautiously
Because an association in observational data does not document that treating a laboratory value changes weight. Treating values within the reference range risks overtreatment without documented benefit. I find this reasoning fair, even if it is too strict for some in functional medicine.

Deutsche Adipositas-Gesellschaft. Interdisciplinary S3 quality guideline on the prevention and therapy of obesity, version 5.0, October 2024. AWMF register no. 050/001 [Guideline]

Beside this stands an observation that shows why the topic does not end with TSH.

Cohort, n=4,850 Movement inside the normal range

Deng, Zheng, Shuai and Yu followed 4,850 people with normal thyroid values and examined whether changes in TSH, fT3, fT4 and the fT3 to fT4 ratio are linked with changes in BMI and waist circumference.

In men, changes in all four measures were independent predictors, in women fT3, fT4 and the ratio. Each unit increase in delta fT3 to fT4 was associated with a 7.144-fold risk in men and a 7.572-fold risk in women of newly occurring obesity.

For you this means: thyroid values move with weight even when they stay within the reference range. But the direction of the statement is decisive.

Deng L, Zheng X, Shuai P, Yu X. Horm Metab Res. 2023;55(10):684-691. PMID: 37557908 · DOI: 10.1055/a-2151-1538 [Cohort, n=4850]

How to read this: [observational data, no treatment recommendation can be derived]. This cohort comes from a single region and rests on screening examinations, so with self-selection. It shows associations and justifies a question, not a therapy. Anyone already taking a thyroid preparation changes nothing about it on their own. Every adjustment belongs in a medical conversation and needs medical follow-up.

Which values are worth measuring and how to read them is covered in thyroid values: which ones really count. The view on symptoms with unremarkable values is in functional thyroid underactivity.

Menopause: distribution changes before the number does

Many women describe the same course. Weight stands almost still, but trousers fit differently. That is exactly what has been measured.

Longitudinal cohort What shifts during the transition

Greendale and colleagues analysed repeated DXA measurements from the Study of Women's Health Across the Nation, modelled along the time before and after the final menstrual period.

At the start of the transition, the rate of fat gain doubled while lean mass declined. Both continued until about two years after the final period and then flattened out. Weight itself already rose linearly in premenopause, without acceleration during the transition.

For you this means: in menopause it is mainly distribution that changes, not necessarily the number on the scale. That is why the body feels different even though the scale gives little away.

Greendale GA, Sternfeld B, Huang M et al. JCI Insight. 2019;4(5):e124865. PMID: 30843880 · DOI: 10.1172/jci.insight.124865 [Cohort, longitudinal]

With PCOS the connection runs the other way round. There, insulin resistance often stands at the beginning and shifts the hormonal situation with it. How to recognise and measure that is covered in understanding PCOS and in insulin resistance in women. On the symptoms of the transition itself: menopause.

Testosterone in men: a circle that runs in both directions

Abdominal fat and low testosterone often occur together in men. In fat tissue, testosterone can be converted into oestrogen via the enzyme aromatase, and the changed hormonal situation can in turn favour storage. A circle that can feed itself.

Meta-analysis, 24 studies The direction that is documented

Corona and colleagues analysed 24 papers on testosterone, calorie-reduced diets and bariatric surgery in men, selected from 266 publications found.

Both routes were associated with a significant rise in total testosterone (P < 0.0001), stronger after surgery (rise 8.73 nmol/l; 95 percent confidence interval 6.51 to 10.95) than under a calorie-reduced diet (2.87; 1.68 to 4.07).

For you this means: the circle can be taken hold of on the weight side. That is the direction for which the data are best. This paper says nothing about giving testosterone as a route to weight loss.

Corona G, Rastrelli G, Monami M et al. Eur J Endocrinol. 2013;168(6):829-43. PMID: 23482592 · DOI: 10.1530/EJE-12-0955 [Meta-analysis, k=24]

This is covered in detail in overweight, insulin resistance and testosterone.

Reframe

Hormones are rarely the one cause and almost never irrelevant. Both extremes are convenient and both lead astray.

More useful is the question of sequence. Does an insulin resistance stand at the beginning that shifts the hormones with it? Or a phase of life in which distribution changes and the insulin response follows? That sequence decides where you start.

And now you know why "everything is normal" and "things feel different than they used to" can be true at the same time.

The building blocks, part 4: silent inflammation, microbiome, medication and muscle mass

Now come the building blocks where the quality of the evidence differs most widely. That is why each point in this section states what it rests on.

Silent inflammation and visceral fat

Fat tissue is not a storeroom. It is an active organ that releases messengers and attracts immune cells. That is where the term silent inflammation comes from: no fever, no redness, but a permanently slightly raised background noise in the immune system.

Animal model with human tissue comparison Where the term comes from

In 2003 Weisberg and colleagues examined gene expression profiles in the fat tissue of mice whose body fat percentage varied by sex, feed and two mutations, complemented by staining of human subcutaneous fat tissue for the macrophage antigen CD68.

1,304 transcripts correlated with body mass. Of the 100 most strongly correlated genes, 30 percent coded for typical macrophage proteins, all positively correlated. The share of labelled immune cells rose with fat cell size and body mass, and comparable relationships were found in human tissue.

For you this means: as fat tissue grows, immune cells migrate in. Important for placing it: the main part of this work is an animal study. Only the tissue comparison concerns humans.

Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW. J Clin Invest. 2003;112(12):1796-808. PMID: 14679176 · DOI: 10.1172/JCI19246 [In vivo, mouse]

Where this fat sits appears to say more than its total amount. A review from 2024 summarises that several epidemiological studies have shown a clear association between visceral fat and cardiovascular disease, while the data for liver fat remain inconsistent. So the two do not belong in the same pot.

How to read this: [partly contradictory data]. Silent inflammation is well founded as an accompanying phenomenon. As the sole cause of a weight it does not hold up. Covered in detail in silent inflammation and weight.

The microbiome: the weakest building block, named honestly

Hardly any topic is told so large in the weight context and is so thinly documented in humans. I consider this one of the points where integrative medicine should examine itself critically.

Animal model The most striking finding in the field

Ridaura and colleagues transferred stool microbiota from adult twin pairs who differed in weight into germ-free mice, under different feed compositions.

Increased total mass and fat mass travelled with the microbiota into the mice. When mice with the microbiota of the heavier twin were housed together with mice carrying that of the lighter one, the gain did not appear. The effect depended on the feed.

For you this means: the finding is real and it comes from mice. In humans the picture looks different.

Ridaura VK, Faith JJ, Rey FE et al. Science. 2013;341(6150):1241214. PMID: 24009397 · DOI: 10.1126/science.1241214 [In vivo, mouse]
The counter-check in humans

Nine randomised studies, 303 participants, no weight effect

Qiu, Liang and Li pooled nine randomised studies on stool transplantation in obesity or metabolic syndrome, with 303 participants in total, searched up to April 2022.

In the short term, meaning under six weeks after the transfer, fasting blood sugar, HbA1c and insulin were lower in the intervention group and HDL cholesterol higher. The effects were small.

For weight itself the authors explicitly report a null result: there was no significant difference in weight reduction between the transplantation and the placebo group. That is why it says here: mechanistically plausible, human studies thin. Anyone selling you a gut cleanse as a route to your desired weight goes well beyond the data.

Qiu B, Liang J, Li C. PLoS One. 2023;18(7):e0288718. PMID: 37471410 · DOI: 10.1371/journal.pone.0288718 [Meta-analysis, k=9, n=303]

How to read this: [mechanistically plausible, human studies thin]. The gut still stays interesting, just for questions other than the number on the scale. What fermented foods can actually move there is covered in fermented foods and the microbiome.

Medication: the building block almost nobody checks

When weight rises without an obvious reason, it is worth a look at your own medication list. That is quantified, in one of the largest analyses available on it.

Meta-analysis, 257 RCTs 54 agents, 84,696 patients

Domecq and colleagues analysed 257 randomised studies that compared a pre-specified list of drugs against placebo and recorded weight change.

For weight gain, the mean values found included: olanzapine 2.4 kg, pioglitazone 2.6 kg, glibenclamide 2.6 kg, gabapentin 2.2 kg, glipizide 2.2 kg, glimepiride 2.1 kg, amitriptyline 1.8 kg, gliclazide 1.8 kg, mirtazapine 1.5 kg, quetiapine 1.1 kg, risperidone 0.8 kg, sitagliptin 0.55 kg. For weight loss, among others: topiramate 3.8 kg, liraglutide 1.7 kg, bupropion 1.3 kg, fluoxetine 1.3 kg, exenatide 1.2 kg, metformin 1.1 kg. For many other agents the change was not significant or only weakly supported.

For you this means: it is worth raising this question at your next appointment. These are mean values from studies, not a forecast for a single person.

Domecq JP, Prutsky G, Leppin A et al. J Clin Endocrinol Metab. 2015;100(2):363-70. PMID: 25590213 · DOI: 10.1210/jc.2014-3421 [Meta-analysis, k=257, n=84696]
Important and not negotiable

Nothing in these figures means that you should stop or reduce a prescribed medication. With antidepressants, mood stabilisers and antipsychotics, abrupt discontinuation carries risks of its own, some of them considerable, up to a relapse of the underlying illness.

Nothing in this text replaces or postpones psychiatric or psychotherapeutic treatment. If the weight question weighs on you while you are on medication, the right route is a conversation with the prescribing physician. There is often more room there than people expect, and the decision needs professional guidance.

On the interplay of medication and digestion: medication and the gut.

Muscle mass and resting expenditure

Muscles are the tissue that needs energy even at rest. They are also the largest taker of sugar from the blood. Anyone who loses muscle mass loses both: a part of resting expenditure and a part of the buffering capacity for blood sugar.

That is exactly why muscle comes up again at several points in this text. With too little sleep, the loss shifts towards fat-free mass. Under GLP-1 injections the same question arises. And in menopause, lean mass declines measurably while fat mass rises.

What strength training in the second half of life can contribute is covered in strength training after 40. You will deliberately not find specific training volumes in this text, because they belong to the individual and not in an overview article.

Interim status

How well documented is each building block?

Sleep

Controlled laboratory studies plus one randomised real-life study

well documented
Metabolic adaptation

Inpatient studies with direct measurement, small but clean

well documented
Insulin and blood sugar

Physiology clear, individual relevance varies

well documented
Satiety hormones

Measurably shifted after weight loss, for a full year

well documented
Degree of food processing

One inpatient crossover study plus cohort data

well documented
Medication

Meta-analysis across 257 randomised studies

well documented
Thyroid

Overt underactivity relevant, normal range only observation

mixed
Sex hormones

Distribution changes documented, causal direction open

mixed
Silent inflammation

Solid as an accompanying phenomenon, open as a cause

mixed
Cortisol

Associations real, but small and correlational

weak
Microbiome

Convincing in mice, no weight effect in humans

weak
Eating speed

Observational data only, intervention studies excluded

weak

This grading is my reading of the cited papers and does not replace a formal evidence assessment. It says something about how robust the data are, and nothing about how important a building block is for you personally.

Reframe

The most common trap in this field is not ignorance. It is the temptation to declare a single building block the main cause, because that makes a nice story.

I try the opposite: make every building block as large as its data allow, and not a millimetre larger. With sleep that is a lot. With the microbiome it is little.

And now you know why I am not offering you a ranking of causes, but a ranking of evidence.

The quality of food: why the same calorie lands differently

You probably know both states. The dinner after which you are back in the kitchen three hours later. And the other one, after which you do not think about food until the next morning. On paper both may have contained the same amount of energy.

For exactly this observation there is perhaps the most elegant study in the whole topic.

RCT, inpatient, crossover, n=20 Same nutrients, 508 kcal difference

Hall and colleagues admitted 20 weight-stable adults as inpatients and randomised them to two weeks of ultra-processed or unprocessed food, then directly to the other. The meals were matched for calories offered, energy density, macronutrients, sugar, sodium and fibre. Participants ate as much as they liked.

Under the ultra-processed diet, energy intake was 508 plus minus 106 kcal per day higher (P = 0.0001), with more carbohydrate and more fat, but not more protein. Weight rose by 0.9 plus minus 0.3 kilograms on the processed diet and fell by 0.9 plus minus 0.3 on the unprocessed one.

For you this means: the same people, on paper the same nutrients, and the difference lay in the degree of processing alone. That is the best evidence that energy balance holds and still explains nothing. Limit: 20 people, four weeks. Cleanly controlled, but small and short.

Hall KD, Ayuketah A, Brychta R et al. Cell Metab. 2019;30(1):67-77.e3. PMID: 31105044 · DOI: 10.1016/j.cmet.2019.05.008 [RCT, n=20]

Whether this translates into disease rates over years cannot be tested in inpatient studies. That needs cohorts. A meta-analysis of prospective cohort studies pooled 25 reports and calculated the relative risks for diabetes, high blood pressure, lipid disorders and obesity at high against low intake of ultra-processed foods, assessed with the NutriGrade procedure. Observational data document no cause. They show that the direction from the inpatient study is found again in the population.

Why real food satisfies differently is covered in unprocessed food and satiety and in inflammatory foods.

Protein: the nutrient that works through satiety

Controlled dietary study, n=19 More protein, less appetite

Weigle and colleagues had 19 people pass through three phases: two weeks of weight-maintaining food with 15 percent protein, two weeks of isocaloric food with 30 percent protein, then twelve weeks of the same composition eaten freely. The carbohydrate share stayed constant.

Under the isocaloric high-protein diet, satiety rose markedly, even though the leptin profile did not change accordingly. In the free-eating phase, spontaneous energy intake fell by 441 plus minus 63 kcal per day, weight by 4.9 plus minus 0.5 kilograms and fat mass by 3.7 plus minus 0.4 kilograms.

For you this means: protein works through satiety, not through willpower. And since the carbohydrate share stayed constant, it really was the protein here and not the removal of carbohydrates.

Weigle DS, Breen PA, Matthys CC et al. Am J Clin Nutr. 2005;82(1):41-8. PMID: 16002798 · DOI: 10.1093/ajcn.82.1.41 [Cohort, n=19]

How much protein makes sense and how you can read satiety in your own body is covered in how much protein do you need and in satiety as biofeedback. That energy density and growth are not the same thing is shown nicely by the breast milk puzzle.

Eating speed and meal structure

The satiety message from the gut needs time. Anyone who eats very fast is finished with the meal before the message arrives. That sounds banal and is remarkably well backed by data, though only by observational data.

A meta-analysis of 23 epidemiological studies found a mean BMI difference of 1.78 kg/m2 between fast and slow eaters (95 percent confidence interval 1.53 to 2.04) and a pooled odds ratio for obesity of 2.15 (1.84 to 2.51). Heterogeneity between the studies was, however, considerable, and intervention studies were explicitly excluded.

How to read this: [association documented, cause open]. Speed is one of the few starting points that costs nothing and forbids nothing. But no proof follows from these data that eating more slowly changes weight.

Reframe

The question "how much am I allowed to eat?" almost always leads into a negotiation with yourself. The question "what does this meal do to my satiety over the next four hours?" leads somewhere else.

Because then it is no longer about going without, it is about composition, speed and structure. Those are adjusting screws, not prohibitions.

And now you know why nobody in the inpatient study had to ration anything for intake to differ by 508 kcal per day.

The GLP-1 injections: what the approval trials showed and where they belong

No topic in the weight field is so charged. Some see the first real progress in decades, others a shortcut that takes revenge. I find both camps understandable and both too quick.

First the most important point: GLP-1 medications are prescription only. This text contains no dosing for use, no source of supply, no advice to begin and none to stop. What is here is study data and the position of the guideline. Everything beyond that belongs in a medical conversation.

RCT phase 3, n=1,961 Semaglutide over 68 weeks

The STEP 1 trial randomised 1,961 adults with obesity, or with overweight plus at least one weight-related comorbidity and without diabetes, double blind to weekly subcutaneous semaglutide or placebo, each on top of a lifestyle intervention.

Mean weight change up to week 68 was minus 14.9 percent under semaglutide against minus 2.4 percent under placebo, estimated treatment difference minus 12.4 percentage points (P < 0.001). At least 5 percent weight reduction was reached by 86.4 percent against 31.5 percent.

For you this means: the efficacy is large and well documented. Worth noting is that a lifestyle intervention ran alongside in both arms. The medication did not stand alone.

Wilding JPH, Batterham RL, Calanna S et al.; STEP 1 Study Group. N Engl J Med. 2021;384(11):989-1002. PMID: 33567185 · DOI: 10.1056/NEJMoa2032183 [RCT, n=1961]
RCT phase 3, n=2,539 Tirzepatide over 72 weeks

The SURMOUNT-1 trial randomised 2,539 adults without diabetes to weekly tirzepatide at three dose levels or placebo over 72 weeks, including twenty weeks of dose escalation.

Mean percentage weight change at week 72 was minus 15.0 percent at the lowest, minus 19.5 percent at the middle and minus 20.9 percent at the highest dose level, against minus 3.1 percent under placebo, all P < 0.001.

For you this means: tirzepatide acts on two receptors and reached larger effects in this study than what was reported for semaglutide in STEP 1. Important: these were separate studies with different populations and durations. A direct comparison of the numbers between them is not permissible.

Jastreboff AM, Aronne LJ, Ahmad NN et al.; SURMOUNT-1 Investigators. N Engl J Med. 2022;387(3):205-216. PMID: 35658024 · DOI: 10.1056/NEJMoa2206038 [RCT, n=2539]

The muscle share, and a figure that circulates wrongly online

On social media you regularly read that 40 percent and more of the weight loss under these medications is muscle. In the current systematic review this figure does not appear as a typical value, it sits at the upper edge of the reported spread. The middle value lies clearly below it.

Systematic review, 35 studies How much fat-free mass actually goes with it

Batsis and colleagues searched six databases from January 2003 to February 2026 for randomised studies with body composition data under liraglutide, semaglutide, tirzepatide or dulaglutide. 35 primary studies out of 8,102 screened titles, median duration 26 weeks.

As a benchmark the authors set in advance: about 25 percent of total weight loss for fat-free mass from BIA or DXA and about 15 percent for skeletal muscle from CT or MRI. Weight loss was consistently larger under incretin therapy than under the comparison conditions, accompanied by a decrease in fat mass and visceral fat.

Within the incretin groups, the share of total weight loss attributable to muscle-related measures had a median of 28.3 percent (interquartile range 15.9 to 39.9 percent). 65 percent of the analyses lay above the 25 percent benchmark. In the 13 studies that also reported weight loss for the comparison groups, 38 percent exceeded the respective benchmark. No report contained objective measurements of physical function.

For you this means: the muscle share is a real topic, and the middle value sits closer to a quarter or just under a third than to the figures from social media. Muscle-related losses above the benchmark occurred not only under medication, but also in a considerable share of non-pharmacological weight loss. So the question is not the medication alone, it is preserving muscle. Limit of transfer: the measurement methods were so different that a meta-analysis was not possible.

Batsis JA, Gavras A, Gross DC et al. Ann Intern Med. 2026;179(7):996-1013. PMID: 41996180 · DOI: 10.7326/ANNALS-25-00478 [Systematic Review]

Covered in detail in GLP-1 injection and muscle loss.

What happened after treatment ended

Extension analysis, exploratory, n=327 One year after stopping

After week 68 in STEP 1, all measures were ended, including the lifestyle intervention. A subgroup of 327 people was observed for a further year without treatment. All analyses were exploratory.

From week 0 to 68, mean weight loss was 17.3 percent under semaglutide and 2.0 percent under placebo. By week 120, 11.6 percentage points came back in the semaglutide group and 1.9 in the placebo group. Net, from week 0 to 120, minus 5.6 percent remained against minus 0.1 percent. The cardiometabolic improvements approached baseline again for most variables.

For you this means: the effect ends with the application. I do not read that as a weakness of the medication, but as confirmation of what this whole article shows. A regulation is being supported here and not rebuilt.

Wilding JPH, Batterham RL, Davies M et al.; STEP 1 Study Group. Diabetes Obes Metab. 2022;24(8):1553-1564. PMID: 35441470 · DOI: 10.1111/dom.14725 [RCT, n=327]

The same question was tested for tirzepatide with a different design. In SURMOUNT-4, all participants first received the medication open label for 36 weeks and reached minus 20.9 percent on average. Then 670 people were randomised double blind to continuation or placebo. From week 36 to 88, mean weight change was minus 5.5 percent under continued treatment and plus 14.0 percent after the switch to placebo, a difference of minus 19.4 percentage points (95 percent confidence interval minus 21.2 to minus 17.7; P < 0.001). Both studies are to be read independently of each other and not set against one another.

Guideline position

Why the S3 guideline says "may" here and not "should"

What is available
For Germany the guideline names orlistat as well as the GLP-1 receptor agonists semaglutide and liraglutide. The fixed combination of bupropion and naltrexone has not been marketed in Germany since 2021.
The wording of the recommendation
The guideline group deliberately decided on a "may". The reasoning: the included meta-analyses captured only anthropometric measures and risk factors, no hard endpoints, and meta-analyses on weight maintenance through medication are missing.
What comes afterwards
After ending or weakening the basic programme or the drug therapy, weight gain usually returns. The basic therapy of nutrition, movement and behaviour should therefore be maintained.

This is not a rejection of these medications. It is a methodological statement about the data, and I consider it honest. DAG, S3 guideline on obesity, version 5.0, 2024. AWMF register no. 050/001 [Guideline]

Side effects belong fairly alongside. Nausea, vomiting, diarrhoea and constipation are the most common and occur mainly in the dose escalation phase. Rarer but serious events, and the question of who these medications do not suit, belong in a medical conversation. The cluster has its own article for that: GLP-1 injection: side effects. How the molecule works in the body is covered in the GLP-1 injection and GLP-1, the question of ending treatment in stopping the GLP-1 injection, and the dual receptor approach in Mounjaro and tirzepatide.

Reframe

The common question is: is the injection cheating or progress? I find both answers too small.

These medications amplify a satiety signal that belongs to the system anyway. They do not rebuild the regulation. So the decisive conversation is not about whether, but about the questions beside it: how is muscle mass preserved? What carries when a treatment ends? And what happens to sleep, blood sugar and eating structure during that time?

And now you know why these medications belong in an overall plan and not in place of one.

When eating becomes a struggle, which diagnostics carry weight, and what remains over years

When eating becomes a struggle

This section deliberately does not sit at the end as a footnote. It sits here because it belongs among the building blocks.

A diet is not a neutral tool. Restriction changes not only calorie intake, but also the relationship with food. And in longitudinal data it predicts exactly what it was supposed to prevent.

Longitudinal, 5 years, n=2,516 Why dieting can predict weight gain

Neumark-Sztainer, Wall, Haines, Story and Eisenberg surveyed 2,516 adolescents from different social and ethnic backgrounds in 1999 and again in 2004, to examine through which mechanisms dieting predicts later BMI change.

In girls, dieting at the first time point predicted more binge eating (P < 0.001) and less frequent breakfasts (P = 0.030), in boys more binge eating (P < 0.001) and less physical activity (P = 0.006). These behaviours were in turn linked with BMI change.

For you this means: a dieting history is itself a risk factor, for binge eating and for later weight gain. Limit of transfer: adolescents were studied, with self-report and observational data. The figures apply to that group.

Neumark-Sztainer D, Wall M, Haines J, Story M, Eisenberg ME. J Am Diet Assoc. 2007;107(3):448-55. PMID: 17324664 · DOI: 10.1016/j.jada.2006.12.013 [Cohort, n=2516]

How to read this: [transfer limited]. The basic idea that restriction can itself become a risk factor is well established in eating disorder medicine. The concrete figures above apply to adolescents.

Red flags where professional help belongs

If you recognise one or more of these patterns in yourself, the next step is not a nutrition plan, it is a conversation with a physician or a psychotherapeutic practice experienced in eating disorders.

  • Binge episodes with the feeling of losing control
  • Vomiting, laxatives, diuretics or excessive exercise after eating
  • Constant mental circling around food that takes up space in everyday life
  • Withdrawing from social plans because food will be involved
  • Rapid unintended weight loss
  • Absence of menstruation without another explanation

Eating disorders are serious illnesses with treatment of their own. They are not a problem of willpower and not a nutritional mistake. Covered in detail in understanding eating disorders: body and mind.

And one more point belongs here, because this article lines up so many adjustable parts. A map can turn into an endless list to work through: analysing every night, tracking every curve, checking every meal, leaving out more and more. That is exactly what I want to warn against. When measuring, controlling and avoiding start taking up room in everyday life, that is not progress but a problem of its own, and then the tool goes aside and the topic goes into a conversation. A CGM is a time-limited learning tool and not permanent surveillance, and a list of building blocks is a map and not a set of duties.

A second point belongs to this topic, one the German guideline newly added in 2024: a chapter of its own on stigmatisation. Explicitly because discrimination against people with obesity has increased in society and in the health system. Weight-related stigmatising attitudes are documented among members of various health professions and can influence perception, communication and clinical decisions.

That belongs in a text like this because it sets the tone. Weight is not a question of character. Losing weight is also not a matter of course that one simply has to want. Both are stances I want to avoid here.

Which diagnostics carry weight and which only cost money

This is where functional practice and guideline diverge most clearly. I think both sides deserve a hearing.

QuestionPosition of the guidelineWhat a functional view adds
Thyroid TSH to work up overt hypothyroidism. Subclinical hypothyroidism not necessarily linked with weight gain. fT3, fT4 and their ratio move with weight in cohorts even inside the normal range. That justifies a question, not a treatment.
Broad laboratory panels Targeted rather than broad, justified by the missing evidence of benefit for extensive panels. Individual additional values can make sense if it is settled in advance which consequence follows from which result.
Yardstick for classification The Lancet Commission of 2025 moves away from BMI as the sole measure and defines clinical obesity through organ and tissue function. Waist circumference and distribution say more than the total amount. The review on visceral fat supports this.
Blood sugar course Not a standard in obesity diagnostics without diabetes. A time-limited look at your own curve can serve as a learning tool, not as a diagnosis.
Comparison based on the S3 guideline on obesity 2024 (AWMF 050/001), the Lancet Commission 2025 and the cited cohort data. The right-hand column is my own assessment and not guideline text.

The Lancet Commission deserves a paragraph of its own here. 58 experts from several disciplines, among them people with their own experience of obesity, stated that BMI-based measures can both underestimate and overestimate body fat percentage and say too little about health at the individual level. They defined clinical obesity as a state of illness that follows directly from the effect of excess body fat on the function of organs and tissues. That is the international professional world itself stepping away from BMI as the sole verdict.

What a time-limited look at your own blood sugar curve can achieve is described in 14 days with a CGM. As a learning tool, not as diagnostics.

What remains over years

Now comes the most honest figure in the whole field, and it is uncomfortable.

RCT, 8 years, n=5,145 The longest good follow-up study there is

The Look AHEAD Research Group randomised 5,145 adults with overweight or obesity and type 2 diabetes to an intensive lifestyle intervention over eight years or to regular group education. At least 88 percent of both groups were still in the survey after eight years.

After eight years, weight loss was 4.7 plus minus 0.2 percent against 2.1 plus minus 0.2 percent (P < 0.001). At least 5 percent was lost by 50.3 against 35.7 percent of participants, at least 10 percent by 26.9 against 17.2 percent. Within the intervention group, certain sustained behaviours distinguished those who had lost and kept off a lot from those who regained.

For you this means: on average little remains after eight years, and still more than a quarter kept off at least 10 percent. The difference lay in what was sustained over years, not in the programme of the first months.

Look AHEAD Research Group. Obesity (Silver Spring). 2014;22(1):5-13. PMID: 24307184 · DOI: 10.1002/oby.20662 [RCT, n=5145]

How to read this: [long-term data missing]. Apart from this work there are hardly any robust data over many years for any of the building blocks discussed. For the GLP-1 injections, the longest published courses are considerably shorter than what is intended in practice as long-term therapy. Anyone who tells you they know how it looks in ten years is speculating.

The guideline draws a plain consequence from this: beyond the phase of weight loss, measures for lasting stabilisation should be recommended, and these resemble those of the loss itself. It also states that a new energy equilibrium usually settles in after three to six months, so that maintaining then moves to the foreground.

If you take away one sentence

Your weight is not the result of your discipline, it is the result of the sum of many control loops, some of them well studied and some barely understood. Whoever understands which of them are currently loud in their own body makes better decisions than someone who only knows the number on the scale.

What I observe clinically

What keeps striking me in my consultations

What follows is explicitly not a study statement. It is my observation, and it could be shaped by selection, because the people who come to me are mainly those for whom the simple route has already failed.

First: people who have moved nothing for months and then start working on the night often report less evening hunger first and only much later a different number on the scale. That sequence irritates many people, I find it logical.

Second: the question about the medication list is rarely asked and surprisingly often turns something up. Not as a reason to stop anything, but as an explanation for why something changed.

Third: people with a long dieting history almost always need a break from judging first. As long as every meal is a test you can pass or fail, the whole system works against the person. Studies on this are thin, I am only describing what I see.

Three questions that help at your next appointment

  • What do my nights look like? Not the felt answer, the measured one. Sleep duration is the building block with the best data in the whole field.
  • What is on my medication list, and which of it is linked with weight change in the meta-analysis? This question belongs in a medical conversation, not in a solo effort.
  • What consequence would an abnormal value have? If there is no clear answer to that, the test is usually dispensable. That is exactly the logic with which the guideline justifies its caution.

Frequently asked questions

Why am I not losing weight even though I eat less?

Three things run at the same time. First, total energy expenditure drops measurably at a weight reduced by at least ten percent, by 6 to 8 kcal per kilogram of fat-free mass per day in the inpatient study by Leibel, Rosenbaum and Hirsch. Second, unconscious everyday movement shifts. In Levine, measured there in the opposite direction under overfeeding, it accounted for two thirds of the change in total expenditure. Third, the hormonal situation shifts toward hunger. Energy balance still holds. It only describes what happens, not why it happens.

Is it true that my metabolism stays slower for good after a diet?

The adaptation is real and it lasts a long time. The best known paper on this is the follow-up of 14 participants of a US television show six years after the competition, with a metabolic adaptation of minus 499 kcal per day on average. That sample was very small and the setting extreme, so it is not a picture of ordinary weight loss. One correction also matters: in this paper, weight regain did not correlate with the adaptation. So the slower expenditure was not its cause.

What exactly is the yo-yo effect, and how long does it last?

What is meant is the combination of lowered energy expenditure and shifted appetite regulation after weight loss. In the work by Sumithran and colleagues, a full year after a mean loss of 13.5 kilograms, leptin, PYY, cholecystokinin, insulin, ghrelin, GIP and pancreatic polypeptide were still different from baseline, together with raised subjective hunger. One year is therefore not an exception, it is the period that was measured. How long it persists beyond that has not been studied cleanly.

Which hormones influence my weight?

Insulin governs storage, leptin reports how full the fat stores are, ghrelin reports hunger, GLP-1 and PYY report satiety, cortisol shifts appetite and fat distribution, thyroid hormones set the baseline speed, oestrogen and testosterone influence distribution. No single one of these hormones explains a weight on its own. They form a network in which changes are passed on from one to the next.

Why does leptin not make me full when I have more fat tissue?

Because in obesity there is not too little leptin, there is too much. Considine and colleagues measured a mean of 31.3 nanograms per millilitre in obesity against 7.5 at normal weight. The signal arrives, it is simply answered less well. That is exactly the difference between a deficiency and a resistance. This is also why leptin from outside is not a route to weight loss.

Can too little sleep keep me from losing weight?

Sleep is the most cleanly studied building block in the whole field. After two short nights, leptin fell by 18 percent in a controlled crossover study, ghrelin rose by 28 percent and hunger by 24 percent. In a randomised real-life study of 80 adults with overweight, a single sleep counselling session lowered measured energy intake by 270 kcal per day compared with the control group, without anyone talking about food. Those are study figures, not a recommendation for you personally.

Do I lose muscle rather than fat when I am short on sleep?

In the crossover study by Nedeltcheva and colleagues, ten adults went through the same moderate calorie restriction twice for 14 days, once with 8.5 and once with 5.5 hours of sleep opportunity. With short sleep, the share of weight loss that came from fat fell by 55 percent, while the loss of fat-free mass rose by 60 percent. Same amount of calories, different composition of the loss. The sample was small, but the finding was cleanly controlled.

Can silent inflammation slow weight loss down?

The connection is well founded and still needs careful reading. The foundational work by Weisberg and colleagues showed mainly in mice that macrophages accumulate in fat tissue as body mass rises, with a matching comparison in human subcutaneous fat tissue. That is where the term silent inflammation comes from. For humans this documents an accompanying phenomenon, not a single cause. Where the fat sits appears to say more than the total amount.

Do I need to have my thyroid checked if I am not losing weight?

The German S3 guideline on obesity from 2024 makes a recommendation of its own on this: TSH should be measured to work up overt hypothyroidism as a possible hormonal cause. The same guideline explicitly states that subclinical hypothyroidism is not necessarily accompanied by weight gain. Both belong together when you read it. TSH yes, but without the expectation that one laboratory value answers the question on its own.

Which blood tests are worth it, and which are not?

The guideline recommends targeted rather than broad testing and justifies this with the missing evidence of benefit for sprawling panels. That is not convenience, it is a methodological position: an association in observational data does not document that treating a laboratory value changes weight. What makes sense is therefore a small, reasoned selection with a concrete question behind it. What a value would lead to should be clear before the blood draw and not afterwards.

Does my gut microbiome play a role in weight?

Very convincing in the animal model, thin in humans so far. Ridaura and colleagues transferred stool microbiota from twin pairs discordant for weight into germ-free mice, and the traits travelled with them. In a meta-analysis of nine randomised studies with a total of 303 people, individual glucose values moved in the short term under stool transplantation, while for weight reduction there was no significant difference from placebo. So mechanistically plausible, human studies thin.

Can medication contribute to weight gain?

Yes, and it is well quantified. A meta-analysis of 257 randomised studies with 84,696 patients found mean gains for individual agents, for example 2.4 kilograms with olanzapine, 2.2 with gabapentin, 1.8 with amitriptyline and 1.5 with mirtazapine, as well as losses with other substances. Very important: this is no reason to stop or reduce a prescribed medication on your own. Abrupt discontinuation carries risks of its own. Every change belongs in the hands of the prescribing physician.

How much of the weight loss under a GLP-1 injection is muscle?

A systematic review of 35 studies set benchmarks in advance: about 25 percent of total weight loss for fat-free mass, measured by BIA or DXA, and about 15 percent for skeletal muscle, measured by CT or MRI. What was measured in the incretin groups was a median of 28.3 percent, with an interquartile range of 15.9 to 39.9 percent. The 40 percent circulating on social media therefore sits at the upper edge of the spread and not in its middle. Muscle-related losses above the benchmark also occurred in a considerable share of non-pharmacological weight loss. So the point is not the medication alone, it is preserving muscle.

Will I regain everything after stopping the GLP-1 injection?

In the extension analysis of the STEP 1 trial, all measures were ended after week 68, including the lifestyle intervention. In the observed subgroup of 327 people, 11.6 percentage points came back by week 120, leaving a net of minus 5.6 percent against baseline. In the study with randomised withdrawal of tirzepatide, the placebo group regained 14.0 percent on average from week 36 to 88, while the group that continued lost a further 5.5 percent. This says nothing about whether a treatment should begin or end for you. That decision belongs in a medical conversation.

Where weight connects to the rest of the body

No building block stands alone. Blood sugar hangs on sleep, sleep on the stress axis, the stress axis on the sex hormones, and all of it together on what is on the plate. These articles pick up the individual threads.

SJ

Shukri Jarmoukli

Physician · Area of focus: integrative medicine · ViveCura Berlin

I work in my private practice at the intersection of conventional medicine, functional medicine and Clinical Psychoneuroimmunology. On the topic of weight I am less interested in which number is on the scale than in which control loops are currently working against it and which of them can be moved at all.

On this topic I am deliberately more reserved than you might expect from an integrative practice. For several popular explanations the human data are thin, and I think it is honest to say so rather than tell a nice story. The caution of obesity medicine and of the S3 guideline has good methodological reasons, even if it feels too narrow to me in places.

This article does not replace medical advice or psychotherapeutic treatment. It is meant to help you ask better questions at your next appointment.

ViveCura, Privatpraxis Shukri Jarmoukli, Skalitzer Straße 137, 10999 Berlin

Scientific sources

  1. Leibel RL, Rosenbaum M, Hirsch J. Changes in energy expenditure resulting from altered body weight. N Engl J Med. 1995;332(10):621-628. PMID: 7632212 · DOI: 10.1056/NEJM199503093321001 [Cohort, n=41]
  2. Rosenbaum M, Goldsmith R, Bloomfield D et al. Low-dose leptin reverses skeletal muscle, autonomic, and neuroendocrine adaptations to maintenance of reduced weight. J Clin Invest. 2005;115(12):3579-3586. PMID: 16322796 · DOI: 10.1172/JCI25977 [Cohort, n=10]
  3. Sumithran P, Prendergast LA, Delbridge E et al. Long-term persistence of hormonal adaptations to weight loss. N Engl J Med. 2011;365(17):1597-1604. PMID: 22029981 · DOI: 10.1056/NEJMoa1105816 [Cohort, n=50]
  4. Fothergill E, Guo J, Howard L et al. Persistent metabolic adaptation 6 years after "The Biggest Loser" competition. Obesity (Silver Spring). 2016;24(8):1612-1619. PMID: 27136388 · DOI: 10.1002/oby.21538 [Cohort, n=14]
  5. Considine RV, Sinha MK, Heiman ML et al. Serum immunoreactive-leptin concentrations in normal-weight and obese humans. N Engl J Med. 1996;334(5):292-295. PMID: 8532024 · DOI: 10.1056/NEJM199602013340503 [Cohort, n=275]
  6. Levine JA, Eberhardt NL, Jensen MD. Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science. 1999;283(5399):212-214. PMID: 9880251 · DOI: 10.1126/science.283.5399.212 [Cohort, n=16]
  7. Spiegel K, Tasali E, Penev P, Van Cauter E. Brief communication: Sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med. 2004;141(11):846-850. PMID: 15583226 · DOI: 10.7326/0003-4819-141-11-200412070-00008 [RCT, n=12]
  8. Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441. PMID: 20921542 · DOI: 10.7326/0003-4819-153-7-201010050-00006 [RCT, n=10]
  9. Broussard JL, Ehrmann DA, Van Cauter E, Tasali E, Brady MJ. Impaired insulin signaling in human adipocytes after experimental sleep restriction: a randomized, crossover study. Ann Intern Med. 2012;157(8):549-557. PMID: 23070488 · DOI: 10.7326/0003-4819-157-8-201210160-00005 [RCT, n=7]
  10. Tasali E, Wroblewski K, Kahn E, Kilkus J, Schoeller DA. Effect of Sleep Extension on Objectively Assessed Energy Intake Among Adults With Overweight in Real-life Settings: A Randomized Clinical Trial. JAMA Intern Med. 2022;182(4):365-374. PMID: 35129580 · DOI: 10.1001/jamainternmed.2021.8098 [RCT, n=80]
  11. Jackson SE, Kirschbaum C, Steptoe A. Hair cortisol and adiposity in a population-based sample of 2,527 men and women aged 54 to 87 years. Obesity (Silver Spring). 2017;25(3):539-544. PMID: 28229550 · DOI: 10.1002/oby.21733 [Cohort, n=2527]
  12. Deng L, Zheng X, Shuai P, Yu X. Thyroid-Related Hormones Changes Predict Changes in Anthropometric Measures and Incidence of Obesity in Chinese Euthyroid Persons. Horm Metab Res. 2023;55(10):684-691. PMID: 37557908 · DOI: 10.1055/a-2151-1538 [Cohort, n=4850]
  13. Greendale GA, Sternfeld B, Huang M et al. Changes in body composition and weight during the menopause transition. JCI Insight. 2019;4(5):e124865. PMID: 30843880 · DOI: 10.1172/jci.insight.124865 [Cohort, longitudinal]
  14. Corona G, Rastrelli G, Monami M et al. Body weight loss reverts obesity-associated hypogonadotropic hypogonadism: a systematic review and meta-analysis. Eur J Endocrinol. 2013;168(6):829-843. PMID: 23482592 · DOI: 10.1530/EJE-12-0955 [Meta-analysis, k=24]
  15. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest. 2003;112(12):1796-1808. PMID: 14679176 · DOI: 10.1172/JCI19246 [In vivo, mouse]
  16. Khawaja T, Nied M, Wilgor A, Neeland IJ. Impact of Visceral and Hepatic Fat on Cardiometabolic Health. Curr Cardiol Rep. 2024;26(11):1297-1307. PMID: 39235730 · DOI: 10.1007/s11886-024-02127-1 [Mechanism Review]
  17. Ridaura VK, Faith JJ, Rey FE et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science. 2013;341(6150):1241214. PMID: 24009397 · DOI: 10.1126/science.1241214 [In vivo, mouse]
  18. Qiu B, Liang J, Li C. Effects of fecal microbiota transplantation in metabolic syndrome: A meta-analysis of randomized controlled trials. PLoS One. 2023;18(7):e0288718. PMID: 37471410 · DOI: 10.1371/journal.pone.0288718 [Meta-analysis, k=9, n=303]
  19. Domecq JP, Prutsky G, Leppin A et al. Clinical review: Drugs commonly associated with weight change: a systematic review and meta-analysis. J Clin Endocrinol Metab. 2015;100(2):363-370. PMID: 25590213 · DOI: 10.1210/jc.2014-3421 [Meta-analysis, k=257, n=84696]
  20. Hall KD, Ayuketah A, Brychta R et al. Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell Metab. 2019;30(1):67-77.e3. PMID: 31105044 · DOI: 10.1016/j.cmet.2019.05.008 [RCT, n=20]
  21. Vitale M, Costabile G, Testa R et al. Ultra-Processed Foods and Human Health: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Adv Nutr. 2024;15(1):100121. PMID: 38245358 · DOI: 10.1016/j.advnut.2023.09.009 [Meta-analysis, k=25]
  22. Weigle DS, Breen PA, Matthys CC et al. A high-protein diet induces sustained reductions in appetite, ad libitum caloric intake, and body weight despite compensatory changes in diurnal plasma leptin and ghrelin concentrations. Am J Clin Nutr. 2005;82(1):41-48. PMID: 16002798 · DOI: 10.1093/ajcn.82.1.41 [Cohort, n=19]
  23. Ohkuma T, Hirakawa Y, Nakamura U, Kiyohara Y, Kitazono T, Ninomiya T. Association between eating rate and obesity: a systematic review and meta-analysis. Int J Obes (Lond). 2015;39(11):1589-1596. PMID: 26100137 · DOI: 10.1038/ijo.2015.96 [Meta-analysis, k=23]
  24. Wilding JPH, Batterham RL, Calanna S et al.; STEP 1 Study Group. Once-Weekly Semaglutide in Adults with Overweight or Obesity. N Engl J Med. 2021;384(11):989-1002. PMID: 33567185 · DOI: 10.1056/NEJMoa2032183 [RCT, n=1961]
  25. Jastreboff AM, Aronne LJ, Ahmad NN et al.; SURMOUNT-1 Investigators. Tirzepatide Once Weekly for the Treatment of Obesity. N Engl J Med. 2022;387(3):205-216. PMID: 35658024 · DOI: 10.1056/NEJMoa2206038 [RCT, n=2539]
  26. Wilding JPH, Batterham RL, Davies M et al.; STEP 1 Study Group. Weight regain and cardiometabolic effects after withdrawal of semaglutide: The STEP 1 trial extension. Diabetes Obes Metab. 2022;24(8):1553-1564. PMID: 35441470 · DOI: 10.1111/dom.14725 [RCT, n=327]
  27. Aronne LJ, Sattar N, Horn DB et al.; SURMOUNT-4 Investigators. Continued Treatment With Tirzepatide for Maintenance of Weight Reduction in Adults With Obesity: The SURMOUNT-4 Randomized Clinical Trial. JAMA. 2024;331(1):38-48. PMID: 38078870 · DOI: 10.1001/jama.2023.24945 [RCT, n=670]
  28. Batsis JA, Gavras A, Gross DC et al. Effect of Incretin-Based and Nonpharmacologic Weight Loss on Body Composition: A Systematic Review. Ann Intern Med. 2026;179(7):996-1013. PMID: 41996180 · DOI: 10.7326/ANNALS-25-00478 [Systematic Review]
  29. Look AHEAD Research Group. Eight-year weight losses with an intensive lifestyle intervention: the Look AHEAD study. Obesity (Silver Spring). 2014;22(1):5-13. PMID: 24307184 · DOI: 10.1002/oby.20662 [RCT, n=5145]
  30. Neumark-Sztainer D, Wall M, Haines J, Story M, Eisenberg ME. Why does dieting predict weight gain in adolescents? Findings from project EAT-II: a 5-year longitudinal study. J Am Diet Assoc. 2007;107(3):448-455. PMID: 17324664 · DOI: 10.1016/j.jada.2006.12.013 [Cohort, n=2516]
  31. Deutsche Adipositas-Gesellschaft (DAG) e.V. Interdisziplinäre Leitlinie der Qualität S3 zur Prävention und Therapie der Adipositas. Version 5.0, October 2024. AWMF register no. 050/001, valid until 06.10.2029. AWMF register [Guideline]
  32. Rubino F, Cummings DE, Eckel RH et al. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol. 2025;13(3):221-262. PMID: 39824205 · DOI: 10.1016/S2213-8587(24)00316-4 [Guideline]
  33. Wharton S, Lau DCW, Vallis M et al. Obesity in adults: a clinical practice guideline. CMAJ. 2020;192(31):E875-E891. PMID: 32753461 · DOI: 10.1503/cmaj.191707 [Guideline]
Transparency on the evidence: where the data are thin
  1. Microbiome and weight. The convincing data come from germ-free mice. The human evidence covers 303 people in nine randomised studies, shows short-term shifts in glucose metabolism and, for weight reduction, explicitly no significant difference from placebo. That is the weakest building block in this text.
  2. Cortisol and weight. The associations are real, but small, with correlation coefficients between 0.08 and 0.10. The clearest link is to the persistence of weight, not to its onset. No sentence in this text declares cortisol the main cause.
  3. Thyroid values within the normal range. The cited cohort comes from a single region, with self-selection through screening examinations. It shows associations, not a treatment indication. The counter-position of the S3 guideline stands beside it in the text.
  4. Eating speed. Observational data only. Intervention studies were explicitly excluded from the meta-analysis, and heterogeneity between the studies was considerable. Association documented, cause open.
  5. The Biggest Loser follow-up. Fourteen people under competition conditions. Not a picture of ordinary weight loss. The most common misinterpretation, that a slow metabolism caused the regain, is not what the data say.
  6. The inpatient study on ultra-processed food. Cleanly controlled, but 20 people and four weeks. The cohort data beside it are observational and document no cause.
  7. Transferring the diet data to adults. The cited longitudinal study examined adolescents, with self-report. The basic idea is established in eating disorder medicine, the concrete figures apply to that age group.
  8. Visceral against hepatic fat. The cited review explicitly states that the data on liver fat are inconsistent. The two do not belong in one pot.
  9. Long-term data beyond five years. Apart from the Look AHEAD study there are hardly any robust courses over many years for the building blocks discussed. For the GLP-1 medications, the longest published courses are considerably shorter than the intended duration of use.
  10. No numbers duel between the GLP-1 injections. The two large approval trials had different populations, durations and comparison arms. Their percentages cannot be set directly against each other, and that does not happen anywhere in this text.
  11. The Canadian guideline is cited here only as a frame, because no abstract is deposited in PubMed. No individual recommendation is derived from it in this text.
  12. What deliberately does not appear here. No calorie figures as a recommendation, no diet plan, no training volume, no BMI target and no kilogram target. All numerical data come from the cited studies and are marked as such. There is also no advice here to begin, reduce or stop a prescribed medication, and no sentence that would replace or postpone psychiatric or psychotherapeutic treatment. What I describe from my consultations is marked as observation and is not a study result.

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