Personalized Nutrition: The Wave of Future
Personalized Nutrition: The Wave of Future
Personalised nutrition is the stronger global trend
nowadays. The potential market for personalised nutrition is huge. Firstly,
eating is a daily activity, and thus opportunities for personalisation are continuous;
secondly, as indicated above, it applies to both diseased and healthy people;
thirdly, through personalisation a person may feel able to enhance or maintain
health; lastly, it’s on the rise partly because personalized data is so easily
accessible in this century. The best dietician in Noida evaluates that this new concept of nutrition considers not only
the personal inheritance but also the cultural and family aspects, their
lifestyle, their likes and dislikes as well as their previous clinical history,
regular physical activity, hypersensitivity or intolerance to certain foods,
the perinatal nutrition, and epigenetics when designing dietary advice and
matching the nutritional needs of each person.
Personalized
Nutrition:
Personalized nutrition (PN) is also termed “personalized
or customized nutrition”. Personalized nutrition directs
the consumption of diet for health optimization and as nutritional
genomics and wellbeing. Personalised nutrition partially overlaps with related
terms such as precision nutrition, nutrigenomics, nutrigenetics, nutritional
genomics, stratified nutrition, tailored nutrition, and individually tailored
nutrition.
Factors:
Personalized nutrition (PN) is rooted in the concept that
one size does not fit all; differences in Biochemistry, Metabolic rate, Inherited
genes, Microbiomes, Physical activity level, Sleep pattern, Dietary habits,
Epigenetics, Psychology, and behavior contribute to the dramatic
inter-individual differences observed in response to nutrition, nutrient
status, dietary patterns, the timing of eating, and environmental
exposures.
Personalised nutrition can be applied in two broad areas:
firstly, for the dietary management of people with specific diseases or who
need special nutritional support—for example, age (teenager, elderly, child,
adult), stage of life (pregnant, lactating, etc), sex, BMI, disease or health
status, ethnicity, and cultural or religious backgrounds that dictate
particular diets in pregnancy or old age, and, secondly, for the development of
more effective interventions for improving public health.
Challenges:-
The main challenge faced by many practitioners of diet clinic for weight loss in Noida is as the
translated data of the human genome is unable to implement as a clinical
intervention. Therefore, there is a need for policymaking to initiate the
platform for public health and wellbeing by installing the technologies and
devices or artificial intelligence.


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