Too bad this is limited to 18 - 40 year old males. The āmalesā part seems very old school, and the 40<= on a personal level makes me sad. With so many āmastersā athletes, I would think understanding how to use nutrition to improve recovery in older athletes would be of great interest / importance.
Iām not a research scientist of any sort, so possible Iām way off on my understanding of this butā¦
Isnāt one of the significant appealing factors of a remote trial like this that you can get into larger sample sizes, if at the expense of control over the subjects? As such Iād think limiting the population up front would be counterproductive
Specifically, wasnāt the prior trial conducted with TR limited on size due to compliance and up front cohort restrictions? I vaguely recall one of those researcherās regrets being limiting participants too strictly up front
All of the above. The exclusion of female athletes is particularly striking, and Iām sorry that TR is associating itself with a study that does exclude female athletes.
If the rationale for excluding masters 40+ athletes was around issues with IRB approval, I could understand that - it would still gall me, but that wouldnāt be on the study authors. But I canāt understand excluding female athletes and saying you are investigating optimal nutrition strategy to enhance recovery and leave off the āin male athletesā
Snark aside I do understand the physiology behind recruiting just men in an age range. If youāre studying a potentially small effect (marginal gain that you can sellā¦.) in a population then you may need less variation between subjects. What frustrates me is the constant drumbeat of almost always having to extrapolate from these types of studies for the rest of us.
I think we differ on the importance of including females in studies like this, especially given the history of excluding females (and diverse communities) from studies like this. One can argue that this should be focused on females and should exclude males, as we know less on this topic for females
Yes, please study optimal nutrition for all cyclists by studying only certain male cyclists.
If youāre reducing variation between subjects, why is it cyclists and triathletes? They are assumed to need the same optimized nutrition? What about people with wildly different weights or w/kg? Hours per week of training? Climate youāre training in? Historical nutrition habits (vegans welcome)? But Iām sure participantsā estrogen levels are what will ruin everything. /s
(Iām not a scientist. But Iāve also never heard one give a good explanation for why women are almost always automatically excluded from studies by default. If someone has a good explanation, Iām all ears.)
Womens cycling is awesome and on the rise. Include them.
Itās great to see so much discussion around this topic, hopefully I can go some way to answering some of your questions.
I completely agree that we should do more to study the female athlete. In fact, this is probably one of the āhottest topics of studyā amongst exercise scientists right now where one of my colleagues is performing a separate study that is solely focused on females. One of the main reasons we typically do not include females in these types of studies is that we donāt yet know whether factors such as the menstrual cycle or contraceptive use impacts upon metabolism. For this type of study, that would mean testing at the same point each month to avoid this potential variation and result in the data collection period taking 5-6 months to complete and bringing in other errors that may change over such a large time period (e.g. getting fitter).
I also appreciate that the restrictions on age can be frustrating. The main reason for this is that the way we metabolise nutrients is likely to differ between younger and older individuals and increase the variation in your results. This does not mean that the older/masters athlete is not important but likely requires a separate study to understand their responses.
Of course this is the main reason. This is always the main reason.
If you included women, had them track their cycles/contraception, and sex-disaggregated your data, wouldnāt you still be able to draw conclusions about male athletes even if ye olde ovaries were too noisy for any conclusions about female athletes? Anything you find will be treated like it applies to women regardless, and who knows, maybe you get an effect thatās big enough to punch through all that estrogen!
All of your reasons for excluding athletes read: we are excluding athletes who are hard to figure out. We just want easy athletes so we can get a result we can publish.
Iām sorry if I come across as harsh, but if you are going to exclude athletes for all of the reasons you stated, then please be honest in the study title so you are explicitly limiting what you are finding to a specific sub-group of endurance athletes and not endurance athletes generally
You want to include women and then study them separately? Okay. Now you have doubled the sample size and likely the cost of the study. Or, alternatively, you have halved the number of participants in each sub group - males and females - limiting the power of the analysis.
I know everyone has opinions on this but how about give someone the benefit of the doubt. There are real constraints to research that people face. Moreover, it appears this research is being funded by SIS. Take your issues to them.
Indeed. I am a bit shocked & saddened by the backlash and near shaming taking place here.
Itās easy to criticize but doing any/all of the alternatives suggested add complexity at the least, cost and time at the worst. Sure, weād all like as many subsets include as possible (including whichever we happen to fall within), but that is not practical in all cases.
No study is perfect or all-inclusive, so we take what we can from them as a stepping stone. Hopefully this can also lead to more studies with additional and/or different groups to expand the direct learnings (vs interpretation) in the future.
The comments might seem harsh, but Dr. Hearrisā stated reasons for not including women / 40+ athletes are an omission that the results wonāt be generalizable to the excluded groups, and isnāt even trying to be generalizable. If the study title was clear ala Donnaās proposed title, then while sad that women / 40+ were excluded, it would be clear from the study that the study is limited to a subset of endurance athletes and isnāt trying to be extensible to all endurance athletes