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February 6, 2018

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Chapter 11 : part 1-Personalized Nutrition

Post 23 of 365

This is part 14 of my review in Layman's terms  of the book 'The Art and Science of Low carbohydrate Living' By Jeff S. Volek, PhD, RD & Stephen D. Phinney, MD, PhD



Personalized nutrition can be complicated, every nutritionist gets asked, 'what should I eat?','how much should I restrict my carbohydrate?', 'the answer is always ' it depends!'. Even though the national dietary guidelines promotes a one size fits all approach , this is not the case in personalized approaches to lifestyles as we are all individuals. This chapter looks at carbohydrate tolerance, your personal genome and addressing the movement towards personalized approach to diet.


Diet and Variability

Diets vary in different circumstances, different lifestyles, and of course as humans we may have different reactions,  even if you are eating and exercising the same as the person next to you , the outcome may not be the same. For some people exercising vigorously may not lead to weight loss or better health and for others it's the only way to go. The studies looked at in this section are looking at genes having a major role in how we respond to diet and exercise.


Nutrigenetics and Nutrigenomics

Nutrigenetics and Nutigenomics is the interplay between diet and genes and even our susceptibility to disease. This is very important as an individual and what works best for you may not work for your co-worker.


Complexity of Nutritional Signals

Our energy to the body is provided by the 4 macro-nutrients, carbohydrate, fat, protein and alcohol. the body also needs a steady source of essential micro-nutrients, vitamins,and minerals, these must be obtained from food. This nutrient intake induces hormonal responses that impact a range of physiologic processes.It is important to know the interaction of nutrients and their outcomes, A few examples are, iron works at its best when consumed with vitamin C, and saturated fat effects on the body varies when consumed with carbohydrates!


Complexity of the Genome

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