Green tea boosts metabolism

Research shows that there’s a cheap, simple way rev your body’s calorie-burning engine – just in time to get your summer body ready for the beach – all while you relax and put your feet up.

I’m talking about drinking a nice, hot cup of green tea. It costs just pennies and takes a few minutes to make, but you’re going to love what it can do for you.

The latest scientific findings have confirmed what we’ve been saying all along: that a compound that’s commonly found in green tea, called EGCG, can boost your metabolism.

In their review of eight trials involving 268 volunteers, Japanese researchers analyzed the effect of green tea on two different measures of metabolism: energy expenditure (EE) and respiratory quotient (RQ).

They found that at doses between 300mg and 800mg, EGCG helps increase your metabolic rate – and, therefore, burn more calories, even when you’re resting (though not by a lot).

Ideally you should burn calories by getting daily exercise sometimes you just need that little extra boost. So, why not get it with green tea?

Besides, this is yet another feather in the cap of this antioxidant powerhouse. We’ve known for a while now that in addition to protecting your cells from damage and helping to prevent cancer, green tea can also calm the inflammation that causes flare-ups of pain from rheumatoid arthritis.

Its compounds have also been shown to help reduce anxiety.

You can get 300mg EGCG from a cup or two of green tea – but to get the most benefit out of it, go for good quality, loose-leaf tea imported from China or Japan, not cheap teabags.

Green tea delivers about one third the caffeine jolt of coffee, so you can drink as much or even a little more of it without getting the jitters.

Wishing you the best of health,

Dr. Glenn S. Rothfeld
Nutrition & Healing

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Review supports metabolic benefits of EGCG from green tea,

Physiological effects of epigallocatechin-3-gallate (EGCG) on energy expenditure for prospective fat oxidation in humans: A systematic review and meta-analysis,

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