Newbury Town Library

Mastering diabetes, the revolutionary method to reverse insulin resistance permanently in type 1, type 1.5, type 2, prediabetes, and gestational diabetes, Cyrus Khambatta, PhD and Robby Barbaro, MPH ; with Rachel Holtzman ; foreword by Neal Barnard, MD ; illustrations by Samantha Stutzman

Label
Mastering diabetes, the revolutionary method to reverse insulin resistance permanently in type 1, type 1.5, type 2, prediabetes, and gestational diabetes, Cyrus Khambatta, PhD and Robby Barbaro, MPH ; with Rachel Holtzman ; foreword by Neal Barnard, MD ; illustrations by Samantha Stutzman
Language
eng
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
Mastering diabetes
Oclc number
1119064419
Responsibility statement
Cyrus Khambatta, PhD and Robby Barbaro, MPH ; with Rachel Holtzman ; foreword by Neal Barnard, MD ; illustrations by Samantha Stutzman
Sub title
the revolutionary method to reverse insulin resistance permanently in type 1, type 1.5, type 2, prediabetes, and gestational diabetes
Summary
"A breakthrough method-grounded in almost 100 years of scientific research-to master all types of diabetes by reversing insulin resistance"--, Provided by publisher
Table Of Contents
This book can save your life -- The Mastering Diabetes approach -- What really causes insulin resistance? -- All fat is not created equal -- Contributing culprits: animal foods -- Your carbohydrate master class -- The Ketogenic diet vs. a low-fat plant-based whole-food diet: a comparison of short-term and long-term results -- Getting started with the Mastering Diabetes method -- Getting to know your new needs: diagnostic blood tests and managing oral medications -- Starting strong: breakfast -- Gaining momentum: lunch -- Developing a routine: dinner -- Intermittent fasting for increased insulin sensitivity and weight loss -- Exercising for maximum insulin sensitivity -- Meal plans and recipes -- Appendix A: C-Peptide testing -- Appendix B: a complete list of green light foods -- Appendix C: sample decision trees
Classification
Content
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