3 ms·
Not sure if this study will replicate: The study had about 30 participants, with 15 in each arm, so that's not a lot of statistical power to begin with. Both
by fanzhang 6y ago
Not sure if this study will replicate:
The study had about 30 participants, with 15 in each arm, so that's not a lot of statistical power to begin with.
Both the low-glucose-label and high-glucose-label arms showed a spike in actual measured blood sugar after ingestion. The difference in blood glucose between the two arms was just about 10%.
The naïve p-value between the two arms was barely significant at 2%, 6%, and 2%, but the p-values were taken from a complex model that probably has p-hacking problems and needs p-value correction.
I would wait for the replication study before believing in this effect. If the effect is real, they only need to double their sample size to get a t-stat of 3 instead of 2, which would give a much more convincing p-value of 0.2% instead of the 2-6% right now.
I applaud the authors for exploring this theory though, and encourage replications to push the p-value down.
- bfieidhbrjr 6y agoThis isn't the only study, and this isn't new information they've found.
- eganist 6y ago> This isn't the only study, and this isn't new information they've found. Do you have the others? They're not readily googlable- I've tried.
- TACIXAT 6y agoThis is what it made me think of. IIRC spitting out a sports drink was the same or more effective compared to actually consuming it during exercise. https://www.runnersworld.com/nutrition-weight-loss/a20832306/when-and-why-to-swish-n-spit-your-sports-drink/ https://www.runnersworld.com/nutrition-weight-loss/a20832306... Also see citations 7,8,9 in the Nature article.
- bfieidhbrjr 6y agoJason Fung in, I think, his second solo book, has a list of citations.
- glormph 6y agoNot that my statistics knowledge is great, but I wonder why they don't show fig.4 with SD bars? (Or if the plot represents the model, show the data points the model was fitted to?) Edit: fig.4, not fig.3