The Acid-Alkaline Food Guide – Second Edition: A Quick Reference to Foods and Their Effect on pH Levels
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(as of Aug 08, 2024 16:00:44 UTC – Details)
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In the last few years, researchers around the world have increasingly reported the importance of acid-alkaline balance. The Acid-Alkaline Food Guide was designed as an easy-to-follow guide to the most common foods that influence your body’s pH level. Now in its Second Edition, this bestseller has been expanded to include many more domestic and international foods. Updated information also explores (and refutes) the myths about pH balance and diet, and guides the reader to supplements that can help the body achieve a healthy pH level.
The Acid-Alkaline Food Guide begins by explaining how the acid-alkaline environment of the body is influenced by foods. It then presents a list of thousands of foods and their acid-alkaline effects. Included are not only single foods, such as fruits and vegetables, but also popular combination and even common fast foods. In each case, you’ll not only discover whether a food is acidifying or alkalizing, but also learn the degree to which that food affects the body. Informative insets guide you in choosing the food that’s right for you.
The first book of its kind―now updated and expanded―The Acid-Alkaline Food Guide will quickly become the resource you turn to at home, in restaurants, and whenever you want to select a food that can help you reach your health and dietary goals.
Publisher : Square One; Newly Revised and Expanded edition (September 2, 2013)
Language : English
Mass Market Paperback : 224 pages
ISBN-10 : 0757003931
ISBN-13 : 978-0757003936
Item Weight : 2.31 pounds
Dimensions : 4 x 1.1 x 7 inches
Customers say
Customers find the book easy to read and understand. They also say the content is very informative and the best alkaline food guide they have found. Opinions are mixed on the food list, with some finding it well organized and easy to use as a reference, while others say it’s repetitive and the authors are uninformed.
AI-generated from the text of customer reviews
