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ESGfitness

Ep. 821 - Q&A - Food noise, HRV and the mindset shifts need to achieve physique goals

ESGfitness

Emma Storey-Gordon

Fitness, Health & Fitness

4.9669 Ratings

🗓️ 23 February 2026

⏱️ 26 minutes

🧾️ Download transcript

Summary

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00:00 Understanding Body Composition Measurements

02:39 Navigating Food Noise and Justification

05:30 The Challenges of Long-Term Weight Maintenance

08:56 Exploring Heart Rate Variability (HRV)

12:11 Mindset Shifts for Achieving Physique Goals

16:44 Strategies for Weekend Eating

24:40 Conclusion and Next Steps


Transcript

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0:01.0

Hello and welcome to this episode of the ESG Fitness podcast.

0:06.0

This is going to be a Q&A episode from my incredible clients on Commit 6.

0:11.7

And I have many questions to get through, so I will get started straight away.

0:15.5

The first one says, I know Emma often says the scales aren't a good measure.

0:23.1

Sorry, aren't good at measuring these things,

0:27.5

but mine say skeletal mass is low, but muscle mass is high.

0:31.7

One is attached to bones, but both say resistance train to improve.

0:34.9

I don't understand, can you shed any light on this? Thanks.

0:38.9

So the simple answer here is these machines are nowhere near accurate enough to tell you this sort of information. Most of the homescales use something called

0:46.4

bioelectrical impedance analysis. They send a electrical current through your body and estimate your body composition based on how easily

0:57.6

that current travels. Lean tissue will hold more water and conducts electricity in a slightly

1:03.5

different way than fat tissue does. They're kind of trying to like decipher that from bone versus

1:08.8

muscle versus fat. But they can't direct the measure muscle.

1:15.0

They are estimating it using predictive equations. And the way that they predict those equations is

1:21.5

usually via stats that you would get from average population in a dexter scan and even dexter scans have inaccuracies, right?

1:28.6

So they're estimating information based on an already inaccurate measure.

1:32.6

So you can see where there's like levels and levels of inaccuracy coming in.

1:36.1

The other thing that impacts this is your hydration levels, your salt intake, your carbohydrate

1:41.8

intake, the time of day, where you are in your menstrual cycle,

1:46.8

like all of these things can impact the reading.

1:49.8

So just be very aware that there's quite a lot of variability in the results that you're

1:55.5

going to get and it's very unlikely that it would be able to accurately predict muscle mass,

...

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