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(as of Sep 18, 2024 15:06:33 UTC – Details)
This program is read by the author.
Discover the cutting-edge science behind long-term weight loss success in this powerful new audiobook from the New York Times best-selling author of How Not to Die.
Every month seems to bring a trendy new diet or weight-loss fad – and yet obesity rates continue to rise and with it, a growing number of diseases and health problems. It’s time for a different approach.
Enter Dr. Michael Greger, the internationally renowned nutrition expert, physician, and founder of Nutritionfacts.org. Author of the mega-best-selling How Not to Die, Dr. Greger now turns his attention to the latest research on the leading causes – and remedies – of obesity.
Dr. Greger hones in on the optimal criteria to enable weight loss, while considering how these foods actually affect our health and longevity. He lays out the key ingredients of the ideal weight-loss diet – factors such as calorie density, the insulin index, and the impact of foods on our gut microbiome – showing how plant-based eating is crucial to our success.
But How Not to Diet goes beyond food to identify 21 weight-loss accelerators available to our bodies, incorporating the latest discoveries in cutting-edge areas like chronobiology to reveal the factors that maximize our natural fat-burning capabilities. Dr. Greger builds the ultimate weight-loss guide from the ground up, taking a timeless, proactive approach that can stand up to any new trend.
Chock full of actionable advice and groundbreaking dietary research, How Not to Diet will put an end to dieting – and replace those constant weight-loss struggles with a simple, healthy, sustainable lifestyle.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Customers say
Customers find the book’s information quality excellent, well-researched, and backed by science. They also describe the writing as interesting, fun, and clear. Opinions are mixed on the length, with some finding it huge and extensive, while others say it’s preposterous.
AI-generated from the text of customer reviews
