Why people gain so differently from the same resistance programme
Summary of the 2025 Jyväskylä conference by the leading groups: the training variables matter (about 12 sets per muscle a week, at least 60 s rest and 2 min on multi-joint lifts, no more than 2 reps in reserve), but telling a true low responder from measurement noise takes repeat testing, and no gene test is shown to predict the response
The Inter-Individual Variation in Resistance Training Response conference (University of Jyväskylä, November 19-21, 2025) brought together the main laboratories studying why people gain such different amounts of muscle from the same programme; this paper summarises the talks in four themes.
(1) Muscle grows in cross-section mainly by adding myofibrils, and in length by adding sarcomeres along the whole fibre (mouse data).
(2) Programme variables matter in the general population: the authors' practical summary is about 12 sets per muscle a week, rests of at least 60 s (2 min on multi-joint lifts), and sets taken to within 2 reps of failure, while true failure adds nothing and machines grow muscle as well as free weights.
(3) Age and molecular signatures (ribosome biogenesis, satellite cells, the pre-training transcriptome) relate to the response; single genes, hormones in young adults, and diet do not separate high from low responders.
(4) The spread of observed responses is large, but much of it may be random variation, so the authors recommend repeat validation trials, one-leg-trained within-subject designs, minimum clinically important difference (MCID) thresholds and composite responder scores.
For practitioners: when someone is not gaining, check adherence, whether the load progressed, sleep and diet before blaming biology, and give genetic tests no weight. All numbers are second-hand; this is a summary of lectures, not a systematic review.
Themes
Key Findings — key points and the numbers the review gives
| Topic | What the review says | Source as the review cites it (second-hand) |
|---|---|---|
| Weekly sets | About 12 sets per muscle per week optimises growth in most trained individuals; above it the dose-response shows diminishing efficiency, with considerable variation between individuals. Practical summary: 12 sets per muscle group a week is "sufficient to most efficiently" promote hypertrophy for most people | Pelland 2026, meta-regressions of weekly volume and frequency (Sports Med) |
| Volume and low responders | Higher training volume reduced the prevalence of low responsiveness in older adults (frequency fixed at 2 days a week). In a four-arm trial in adults aged 60-75 (30 weeks after a 4-week pre-training period), 3 days a week of high-low-high variable intensity gave the largest total-body and thigh lean-mass gains and only 12% poor responders, against much higher proportions in the other three arms; arm lean mass grew most on high-high-high | Lixandrão; Bamman laboratory |
| Maintenance | After a 16-week programme, a 32-week trial of two maintenance prescriptions versus stopping suggested older adults need a higher volume than young adults to keep the muscle gained | One maintenance trial (Bamman laboratory) |
| Load range | Hypertrophy across roughly 5-30 reps per set; moderate loads (8-12 reps) for most sets may be practical; a spectrum of loads may favour fibre-type-specific growth | Schoenfeld lecture and cited meta-analyses |
| Rest intervals | Rests of 60 s or less tend to be suboptimal; 2 min or more may be needed on multi-joint exercises to maintain volume load. Practical summary: at least 60 s between sets, 2 min or more on multi-joint lifts (note: the evidence sentence counts 60 s itself as short) | Singer 2024 (Bayesian meta-analysis); Rosa 2023 |
| Proximity to failure | Train near failure (about 2 reps in reserve) to maximise hypertrophy; reaching true failure each set brings no additional benefit. Practical summary: no more than two reps in reserve | Robinson 2024 (meta-regressions); Refalo 2023 (REF-678) |
| Exercise selection | Exercise choice matters for which muscles are targeted, but machines grew muscle as well as free weights; this may not transfer to performance training (sprints, jumps), which is task-specific | Haugen 2023 meta-analysis |
| Frequency | In an 8-week within-subject comparison (one leg each), neither higher nor lower frequency prevailed — the optimum may differ by person | Damas (Libardi laboratory) |
| Progression model | Progressing by load or by reps: some individuals grew more under one model than under the other, and satellite-cell changes tracked the response | Libardi and Roberts laboratories |
| Concurrent training | Interference with hypertrophy is mixed and probably volume-dependent: 4-6 days a week of endurance work interferes more than 1-3; on the same day, lifting then aerobic exercise seems prudent | Cited reviews; the order is the authors' suggestion |
| Expected gains | 8-12 weeks of training gave 1.3-1.8 kg of lean mass in adults (the cited meta-analysis title says healthy adult males; 111 studies, 1,927 participants); "8-12 kg of muscle a year" gym lore is not realistic | Benito meta-analysis; Phillips lecture |
| Sex | On a relative scale women and men are about equally responsive from the untrained state, with no clear sex difference in responder distribution; male advantages appear with advanced training and on absolute scales | Several responder-classification studies |
| Age | Not all older adults are low responders; blunted acute protein synthesis in older adults did not translate into remarkable age differences in hypertrophy. Low testosterone in older hypogonadal men, and metformin (which inhibited hypertrophy in the MASTERS trial), may blunt it. Signs of fibre denervation were not reversed by 8-20 weeks but seemingly were by 6+ months to years of training | Atherton, Bamman, Mackey laboratories |
| Genetics | Of 500 polymorphisms tested after 12 weeks of arm training in 1,300 young adults, only 2 related to hypertrophy; of over 315,000 tested in 119 young men, one did. An 11-variant score explained 47% of the response in 440 untrained adults, at a liberal significance threshold. Heritability estimates run 30-70+%, yet a robust polygenic score would need more than 100,000 participants. In one-leg-trained designs, individual differences in fibre growth aligned more with intrinsic biology than with the protocol | FAMuSS; Roberts and Phillips laboratories; Yang; Libardi and Phillips laboratories |
| Fibre typology | "Fast twitchers" (high muscle carnosine) did not hypertrophy more than "slow twitchers", but performed fewer reps at a given %1RM and stayed fatigued longer after sessions | Derave laboratory (REF-307 for the recovery data) |
| Molecular markers | Ribosome biogenesis and satellite-cell expansion associated with higher responses across laboratories; the pre-training transcriptome looked more influential than molecular responses to exercise. rDNA copy number, extracellular-matrix proteins and sex-hormone markers in young adults did not separate responders; capillary and mitochondrial findings are mixed | Roberts, Bamman, Nader, Hulmi laboratories |
| Nutrition and supplements | Protein insufficiency is not a key feature of anabolic resistance; self-reported diet did not appreciably affect the spread; supplements are the least important factor, though creatine and chronic protein supplementation gave modest gains (0.5-1.0 kg lean mass over 12+ weeks) | Atherton lecture (protein); Bamman and Roberts groups (self-reported diet); Phillips lecture (supplements least important); authors' practical section (0.5-1.0 kg) |
| Low responsiveness in practice | Before attributing it to intrinsic factors, first examine adherence, progressive overload, and (when possible) sleep quality and dietary habits; habitual progressive training over years is the key external factor | Authors' practical recommendation |
| Responders vs random variation | Three components: random variation (measurement error and biological variation), within-subject variation in the response to the same programme on another occasion, and the subject-by-training interaction, the true individual response. A control group estimates the first; the second stays hypothetical in common designs | Hecksteden framework (REF-441); Hopkins |
| Repeat validation trials | The theoretical standard is two training periods with a washout, checking whether the same people respond high and low; but washout length and "muscle memory" carry-over (DNA methylation, proteome, myonuclei; strength and fibre carry-over before retraining) threaten it. Repeated testing within one programme (baseline, 3, 6 and 9 months), as Hecksteden did for endurance training, may approximate it. A large repeat-validation trial in Jyväskylä has run 3 years and ends within 1-2 years | Hecksteden, Ahtiainen; Robinson (replicated unilateral trial, preprint) |
| Unilateral within-subject designs | Train one limb and leave the other untrained as the person's own control, with confidence intervals from measurement error and natural variability; drawbacks are cross-education (10-15% strength gains in the untrained limb) and lower ecological validity than whole-body training | Chaves (Libardi laboratory) |
| MCID thresholds | Needs repeated run-in tests (pre-test 1, pre-test 2, post); methods disagree and no established MCID exists for hypertrophy. Proposed starting points, not norms: 0.5-1.0 kg of DXA appendicular lean mass over 12-16 weeks (DXA error generally under 1-2%); about 700 µm² (10-15%) of fibre cross-sectional area; 2-3% in ultrasound muscle thickness or cross-section (0.24 cm and 0.60 cm² for vastus lateralis). Thresholds are context-specific and error can scale with baseline | Bamman; cited reliability studies |
| Composite responder classification | A multivariate composite score is a better classifier than one outcome: several measures of muscle size at minimum, or a wider model adding strength, function, metabolic adaptation, cognition, mood and stress | Phillips, Bamman, Roberts groups |
Mechanisms
Practical Application
Limitations
How this entry was checked and changed
below the rubric's B+ "authoritative narrative review from the leading group" because a conference summary reports each speaker's lecture, largely their own laboratory's work and some preliminary or preprint data, with no search, weighting or synthesis across the field; above C+ because the 14 authors lead the field, it is peer-reviewed, and its programming numbers trace to named meta-analyses rather than to untraced composites. Every number below is second-hand from the cited studies, not re-analysed here; read from the full text