Menstrual cycle and cycling training: what the research actually shows
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If you have searched for this topic before, you will have met a confident answer: train hard in one phase, back off in another, and unlock a hidden advantage. The honest position is less satisfying. The research on menstrual cycle phase and endurance performance is thin, methodologically weak, and does not support that kind of prescription.
That is not a reason to ignore the subject. It is a reason to be careful about which parts are well established — several are, and they matter a great deal — and which parts are being sold to you ahead of the evidence.
Menstrual health, contraception and bone health are medical matters. Nothing here is a diagnosis, a recommendation to start or stop any contraceptive, or a supplement protocol. Absent or irregular periods, unusually heavy bleeding, persistent fatigue or a stress fracture all warrant a doctor, not an article. Take the questions below to a clinician — ideally one who understands endurance sport.
What the meta-analysis actually found
The most-cited synthesis in this area pooled 78 studies of exercise performance across the menstrual cycle in naturally cycling women. Its conclusion was that performance might be very slightly reduced in the early follicular phase — the days around and just after menstruation — compared with other phases. The effect size was described as trivial, and the variation between studies was large.
The more informative finding is the one about the studies themselves. Of those 78 papers, the review rated their quality like this:
Two-thirds of the literature underpinning "train with your cycle" advice was rated low or very low quality.
8% High quality
24% Moderate quality
42% Low quality
26% Very low quality
Source: McNulty et al., Sports Medicine, 2020. The authors explicitly concluded that general guidelines cannot be drawn from this body of work.
When two-thirds of a literature is rated low or very low quality, the correct reading is not "the effect is small". It is we do not yet know. The reviewers said as much: general guidelines on training across the cycle cannot be formed from these data, and any approach should be individual.
Why the research is so weak
This is not laziness on the part of researchers so much as genuine difficulty, compounded by decades of women being under-represented in exercise science. Doing it properly is expensive:
- Phase has to be verified, not assumed. Counting days from the last period is not enough. Confirming ovulation and measuring hormone concentrations requires blood sampling at the right moments, repeatedly.
- Cycles vary enormously between individuals and between months in the same individual. A "day 14" in one rider is not the same hormonal state as day 14 in another.
- Sample sizes are small and participants are often untrained, which tells you little about a trained cyclist's response to intervals.
- Performance tests differ wildly — a countermovement jump, a 30-second sprint and a 40 km time trial are not measuring the same thing, yet all get pooled.
Methodological guidance for doing this research properly now exists, which is encouraging: it means better studies are coming. It also means that most of what has already been published does not meet that standard. A parallel review of strength performance reached the same conclusion — no reliable phase effect, and a literature not good enough to detect one if it existed.
Hormonal contraceptives
The same research group ran a parallel meta-analysis on oral contraceptives. The headline is similar: users may experience trivially poorer performance than non-users on average, with wide variation and low-quality evidence underneath. There is no credible basis for telling a rider to change her contraception for performance reasons.
What is fair to say is narrower and more practical. Contraceptives that reduce heavy bleeding may indirectly help with iron status and with the days you actually lose to symptoms. Some riders feel clearly better on a given method and clearly worse on another. Both of those are conversations for a doctor, weighed against everything else contraception is for — and performance is a minor term in that equation.
A withdrawal bleed on the combined pill is not the same as a natural period, and it can mask the loss of a period that would otherwise be a warning sign of low energy availability. If you are training hard and eating little, the absence of an obvious signal is not reassurance. Raise it with a clinician.
What is actually well established
Here is the part that gets less attention than phase-based programming and deserves considerably more, because the evidence is stronger and the consequences are larger.
Iron deficiency is markedly more common in female endurance athletes than male ones, and it flattens performance long before it shows up as anaemia. This is testable, treatable and genuinely worth acting on.
Cycling is non-weight-bearing, so it does little for bone density on its own. Add low energy availability or menstrual disturbance and the risk compounds. Off-bike loading and resistance work are the countermeasure.
Under-fuelling is one of the few mechanisms here with a clear, well-described route from cause to consequence — including menstrual disruption itself. The IOC has published consensus statements on it.
Heavy bleeding, cramping, migraine, poor sleep and low mood measurably affect what you can do on a given day. This does not require a hormone theory to be true or to be worth planning around.
On bone: the clearest cycling-specific data compare competitive road cyclists with untrained controls and find lower bone mineral density in the cyclists, which is the opposite of most people's intuition about athletes. That cohort was male, so read it as a statement about the sport rather than about sex — but it means the non-weight-bearing problem applies to everyone on a bike, and stacks with any menstrual disturbance rather than substituting for it.
Relative Energy Deficiency in Sport (REDs) is the framework tying most of this together, and it is where the serious risk sits. Menstrual disturbance in a hard-training rider is one of the recognised signs, not an inconvenience to be worked around. We cover the pattern in more depth in our piece on under-fuelling, hormones and minerals.
Claims to treat sceptically
- Phase-based periodisation. The idea that you should schedule intensity in the follicular phase and volume in the luteal phase. It is intuitive, widely marketed, and not supported by trial evidence in cyclists.
- Fixed nutrition switches by phase. Claims of phase-specific carbohydrate or protein targets rest on small mechanistic studies, often in untrained participants, rarely replicated.
- Cycle-tracking apps that prescribe training. Prediction of your actual hormonal phase from calendar dates alone is unreliable, and the underlying performance effect being predicted is itself close to trivial.
None of these are dishonest, exactly. They are all plausible-sounding extrapolations from mechanisms that have not been tested well enough in trained cyclists. If a product or coach states them as settled, that is a reason for caution about everything else they tell you.
A defensible way to handle it
What is left once you strip out the overclaiming is unglamorous, but it is honest and it works:
- Train by how you feel and what you produce, not by the calendar. The day-to-day variation in a rider's power is driven by sleep, fuelling, life stress and accumulated fatigue — all of which are larger and better evidenced than any phase effect.
- Keep your own record. If symptoms reliably wreck particular days for you, that is real data about you, whatever the group-average literature says. Plan the hard sessions around it.
- Fuel the work. Chronic under-eating is the single most likely thing on this list to cost you a season.
- Get iron checked if you are persistently flat, and treat only on the basis of a test.
- Load your bones off the bike. Resistance training is the practical answer to a non-weight-bearing sport.
- Escalate absent or irregular periods to a doctor rather than treating them as a normal consequence of training. They are not.
Where a training tool helps is in the first two of those. Moveee's Fitness & Form view tracks load and freshness from your own rides, and the adaptive plan eases the next hard day when you clearly have not absorbed the last one — which is a response to your actual state rather than to a prediction about it. That is deliberately not a cycle-tracking feature, because the evidence does not currently justify building one.
If better studies change that, the advice should change with them. For now, anyone telling you exactly how to periodise around your cycle is ahead of the data.
Sources 7
Where this article summarises a study, the study itself is linked — not a write-up of it.
- 1 McNulty KL, Elliott-Sale KJ, Dolan E, et al. The Effects of Menstrual Cycle Phase on Exercise Performance in Eumenorrheic Women: A Systematic Review and Meta-Analysis · Sports Medicine · 2020
- 2 Elliott-Sale KJ, McNulty KL, Ansdell P, et al. The Effects of Oral Contraceptives on Exercise Performance in Women: A Systematic Review and Meta-analysis · Sports Medicine · 2020
- 3 Colenso-Semple LM, D'Souza AC, Elliott-Sale KJ, Phillips SM Current evidence shows no influence of women's menstrual cycle phase on acute strength performance or adaptations · Frontiers in Sports and Active Living · 2023
- 4 Elliott-Sale KJ, Minahan CL, de Jonge XAKJ, et al. Methodological Considerations for Studies in Sport and Exercise Science with Women as Participants: A Working Guide for Standards of Practice for Research on Women · Sports Medicine · 2021
- 5 Mountjoy M, Ackerman KE, Bailey DM, et al. 2023 International Olympic Committee's (IOC) consensus statement on Relative Energy Deficiency in Sport (REDs) · British Journal of Sports Medicine · 2023
- 6 Sim M, Garvican-Lewis LA, Cox GR, et al. Iron considerations for the athlete: a narrative review · European Journal of Applied Physiology · 2019
- 7 Smathers AM, Bemben MG, Bemben DA Bone Density Comparisons in Male Competitive Road Cyclists and Untrained Controls · Medicine & Science in Sports & Exercise · 2009
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