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How to Train Smarter for Your Body
"Train for your body, not a generic plan" is good advice, but it is often sold with more certainty than the evidence supports. This page sets out what genuinely varies between people, what you can act on, and where the science is thinner than the marketing.
On this page
- 1.What does training smarter actually mean?
- 2.1. Match training load to your life, not to a template
- 3.2. Sleep more, rather than reading about sleep
- 4.3. Eat enough before optimising what you eat
- 5.4. Find your weakest capacity by testing it, not guessing
- 6.5. Choose what you will still be doing in a year
- 7.What about genetics?
- 8.When should you see a doctor?
- 9.Questions
What does training smarter actually mean?
Five things, and the order matters, because most people spend their attention on the bottom of this list and neglect the top.
- Total training load, relative to your life right now
- Sleep
- Total energy intake for your load
- Your weakest capacity for your goal
- An approach you will actually sustain
Everything below works through these in order.
1. Match training load to your life, not to a template
Recovery need scales with total load, and total load includes life. Work stress, travel, poor sleep and illness draw on the same capacity training does, which is why the same session feels routine one week and excessive the next.
Rather than following a fixed rest-day pattern, track a few things over weeks: how you feel on waking, sleep duration, mood, and whether performance in your key sessions is trending up, flat or down. Several drifting downwards at once, while you train as normal, is the signal to reduce load.
Not progressing? Check the dose before blaming your body. In a randomised trial, 69% of participants looked like "non-responders" on 60 minutes of training a week. At 240–300 minutes a week, none did. When the original non-responders were given six more weeks with two extra sessions, non-response was eliminated in every one of them. 1 Apparent non-response is usually under-training.
The reverse also has a name. Sports medicine consensus describes a continuum from functional overreaching, which is temporary and productive, through non-functional overreaching, where performance stays suppressed, to overtraining syndrome. Distinguishing the last two is difficult even clinically, and no single hormonal, psychological, biochemical or immune marker is universally accepted for diagnosis. 2 Since no test settles it, act on the trend early rather than waiting for certainty.
2. Sleep more, rather than reading about sleep
This is the best-evidenced single change available to most people who train.
A systematic review of sleep interventions in athletes found sleep extension consistently improved physical performance. Athletes extended time in bed to around nine to ten hours, and increases of roughly 46 to 113 minutes per night in people habitually sleeping about seven hours produced measurable improvements in reaction time and in sport-specific performance including tennis serve accuracy, basketball shooting and endurance capacity. 3
Sleep hygiene education alone did not do the same. No improvement in vigilance and attention after six weeks, and no effect on physical recovery markers after late competition. 3 What worked was sleeping longer, not learning about sleep.
If you train hard and sleep seven hours, this is your largest available gain.
3. Eat enough before optimising what you eat
The common problem is not macronutrient split. It is chronically eating too little for the training being done, which undermines adaptation and raises injury risk.
Once total intake is adequate, food quality matters more than ratios. In a twelve-month trial of 609 adults randomised to low-fat or low-carbohydrate diets, what distinguished successful participants was eating whole foods, cutting sugar and refined grains, and finding an approach they could stick to. 4
4. Find your weakest capacity by testing it, not guessing
If your 5k time has stalled, the limiter could be aerobic capacity, leg strength, running economy or pacing. They need different training, and guessing wastes months.
Test them separately (a max aerobic test, a strength benchmark, a form assessment), then train whichever the results point at, and re-test in eight weeks to see whether it moved. This is the part of personalisation that genuinely works, and it works because you are measuring your performance rather than inferring it.
5. Choose what you will still be doing in a year
Adherence beats theoretical optimality. In the diet trial above, the difference between people who succeeded and people who did not was sustainability, not the diet arm they were assigned to. [4] Training is the same: the programme you follow consistently for a year outperforms the better programme you abandon in March.
What about genetics?
Genetic variation in how people respond to training is real and increasingly studied. What does not yet follow is that a test can tell you how to train or eat.
The DIETFITS trial was designed to test exactly this. It randomised 609 adults to low-fat or low-carbohydrate diets for twelve months and measured whether genotype pattern or baseline insulin secretion predicted who would do better on which. It found no association between either marker and success on either diet. 4 The variation between individuals was large and real. The genetic explanation for it was not there.
On training, a consensus statement on direct-to-consumer genetic testing in sport concluded that "genetic tests have no role to play in talent identification or the individualised prescription of training to maximise performance." 5
Understanding your biology is interesting. It is not yet a training plan.
When should you see a doctor?
Progress load gradually and change one variable at a time so you can tell what caused a problem. Treat pain that persists beyond normal training soreness as information rather than something to push through.
See a clinician for persistent or worsening pain, swelling, instability or loss of function, and for unexplained fatigue, repeated illness or performance decline that does not improve with rest. Iron deficiency, thyroid problems and post-viral fatigue can all look exactly like poor recovery, and they need diagnosis rather than more rest days.
→ How to Improve Your Athletic Performance: The Complete Guide
→ Why Recovery Matters for Performance
→ Are Athletes Born or Made? What the Science Says
→ What Determines Athletic Performance?
Questions
I am not improving. Am I a non-responder?
Probably not. In the trial above, every participant initially labelled a non-responder responded once training volume increased. [1] Check load, sleep and total food intake before concluding anything about your biology.
Should I pick low-carb or low-fat based on my genetics?
The largest trial designed to answer this found no association between genotype pattern or insulin secretion and which diet worked better, across 609 people over twelve months. [4] Choose what you can sustain.
Can a genetic test tell me how to train?
Not currently. Sports science consensus is explicit that genetic tests should not be used to prescribe individualised training. [5]
What is the single highest-impact change?
For most people training hard, sleeping longer. [3]
Sources
- Montero D. & Lundby C. (2017). Refuting the myth of non-response to exercise training: 'non-responders' do respond to higher dose of training. The Journal of Physiology. https://pubmed.ncbi.nlm.nih.gov/28133739/
- Meeusen R. et al. (2013). Prevention, diagnosis and treatment of the overtraining syndrome: Joint consensus statement of the ECSS and ACSM. European Journal of Sport Science. https://www.tandfonline.com/doi/abs/10.1080/17461391.2012.730061
- Cunha L.A. et al. (2023). The Impact of Sleep Interventions on Athletic Performance: A Systematic Review. Sports Medicine – Open. https://link.springer.com/article/10.1186/s40798-023-00599-z
- Gardner C.D. et al. (2018). Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial. JAMA 319(7):667–679. https://jamanetwork.com/journals/jama/fullarticle/2673150
- Webborn N. et al. (2015). Direct-to-consumer genetic testing for predicting sports performance and talent identification: Consensus statement. British Journal of Sports Medicine 49(23):1486–91
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