Amount of Central Fat Predicts Mortality Risk in Non-Obese Individuals

Google turned up some discussion of sugar, in particular sugar drinks as contributing to VAT, but given your comment, it sounds like adding the polyphenols is what matters for their experiment.

Which of course, leads to the question of which polyphenols & what the biochemistry of the alteration is …

Specific Foods to Burn Visceral Fat: Randomized Controlled Trial

Nick Norwitz

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Nice. Thanks. I really need to focus on green tea the way I used to before getting addicted to coffee.

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I put a green tea bag in my mug of coffee. For the second mug, tea with cacao powder.

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In regards to the title, am I correct that “central” and “visceral” fat are not synonymous? Central fat would include visceral fat and subcutaneous abdominal fat?

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Study:

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Never give up the coffee.

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@JuanDaw that is interesting. I’ll have to make a mental note that you are more weird than I am. I’ll have to try harder.

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Green tea has a neutral taste. So coffee and cacao mask it. Sweetener is 3 g glycine.

No different from somebody (DeStrider, I think), who puts collagen powder in his coffee.

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Does anyone consume Mankai, and if so, how?

i use marine collagen, sometimes in espresso shots, sometimes in water. usually also with l-argenine akg…

it’s not bad, but the coffee definitely tastes better w/o it.

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I asked Liner AI if GLP1’s reduce visceral fat:

GLP-1 receptor agonists (GLP-1 RAs) have been demonstrated to significantly reduce visceral fat in adults. These medications are increasingly recognized for their role in managing obesity, as they not only help in weight loss but also target visceral adipose tissue effectively.

Mechanism of Action

GLP-1 RAs mimic the effects of the naturally occurring glucagon-like peptide-1 hormone, which helps regulate appetite, insulin secretion, and fat metabolism. By enhancing the metabolic activity of visceral adipose tissue, these drugs facilitate the breakdown of fat stores, leading to a reduction in visceral adiposity. Additionally, they improve insulin sensitivity, which can further aid in fat loss .

Clinical Evidence

Recent systematic reviews and meta-analyses have confirmed the efficacy of GLP-1 RAs in lowering visceral fat. A review of 30 randomized controlled trials showed that GLP-1 RAs reduced visceral fat with a standardized mean difference (SMD) of -0.59, indicating a significant decrease compared to control groups . Specifically, reductions were observed in individuals with type 2 diabetes, non-alcoholic fatty liver disease (NAFLD), and other metabolic disorders .

Subgroup Analyses

Subgroup analyses indicate that GLP-1 RAs have a pronounced effect on different populations:

  • Type 2 Diabetes Patients: Significant reduction in visceral fat with an SMD of -0.49 .
  • Non-NAFLD Patients: An SMD of -0.53 demonstrates the drug’s effectiveness even in individuals without specific liver conditions .
  • NAFLD Patients: An impressive SMD of -0.99 showcases remarkable reduction in visceral fat in this group, emphasizing the benefit of GLP-1 RAs in treating hepatic fat issues .

Implications for Health

The reduction of visceral fat is crucial due to its association with numerous health complications, including insulin resistance, type 2 diabetes, and cardiovascular diseases. Excess visceral fat has a higher metabolic rate, leading to increased production of harmful adipokines, which can exacerbate metabolic disorders . Therefore, reducing this type of fat not only contributes to weight loss but also helps mitigate various health risks associated with obesity .

Conclusion

In conclusion, GLP-1 receptor agonists are effective in reducing visceral fat across various patient populations, particularly those suffering from type 2 diabetes and NAFLD. Their ability to enhance metabolic activity in visceral adipose tissue and promote overall weight loss makes them a valuable tool in the management of obesity and its related health issues.

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Specifically visceral fat reduction? Or just part of whole body fat reduction?

Both. References here from the AI response

https://onlinelibrary.wiley.com/doi/full/10.1002/oby.24126

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There are 16.4 cm^3 in a cubic inch. So there is 29 cubic inches to a pound of fat is my best math. So your 103 cm^3 is only 6.3 cubic inches … which AI is right - 0.22 lbs … so optimal and then some!

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Thanks
Interesting enough, the stats they gave me show it’s slightly above optimal (100 being upper limit of optimal)

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