Age, sex, and ethnicity (to some extent) are used as universal variables in modern medical research (control groups). However, these group results cannot be extended to the entire human population because each of these groups has a varied level of illness susceptibility and medication response. Prakriti displays itself in all ethnic groups, hence ethnic groups aren't required for research. It has an impact on an individual's entire life span by linking their nature to environmental factors such as their lifestyle and diet. Prakriti is an example of a strategy that can be used uniformly across the entire population to divide a stratified population into manageable subgroups (rather than hundreds of ethnic groupings). Future research may employ prakriti-based grouping. | Age, sex, and ethnicity (to some extent) are used as universal variables in modern medical research (control groups). However, these group results cannot be extended to the entire human population because each of these groups has a varied level of illness susceptibility and medication response. Prakriti displays itself in all ethnic groups, hence ethnic groups aren't required for research. It has an impact on an individual's entire life span by linking their nature to environmental factors such as their lifestyle and diet. Prakriti is an example of a strategy that can be used uniformly across the entire population to divide a stratified population into manageable subgroups (rather than hundreds of ethnic groupings). Future research may employ prakriti-based grouping. |