The carbohydrate-insulin hypothesis states that when we consume processed meals, which raise insulin levels, calories are subsequently stored in fat cells.
Carbohydrate-insulin hypothesis:
- According to the carbohydrate-insulin hypothesis, weight gain occurs when a person consumes an excessive quantity of processed carbs, which raises insulin levels and leads the body to store fat.
- Although fat is necessary for your body to operate, having more fat than you need might have negative effects on your health. It has long been believed that consuming more than the body needs for energy results in obesity, which is characterized by an abnormal amount of body fat.
- The "calories in, calories out" idea of weight growth, according to some scientists, is an oversimplification and that obesity is likely the result of a much more complicated process.
- Consuming processed meals increases insulin secretion while decreasing glucagon secretion. As a result, the body may store more fat, which can slow the metabolism and make people feel more hungry.
Learn more about insulin here:
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Answer:
The correlation is more valuable. It can be used to determine the relative strength of a linear relationship.
Explanation:
When you talk about finding a relationship between two quantitative variables such as calories and sugar, then the best that can be used in expressing this relationship is correlation. Correlational research is very useful because it helps in discovering the strength and directions that exist in a relationship between two variables. Although it does not say much about the cause and effect, it is used as a measure of linear relationship between two variables.
Covariance can mainly show the direction between two variables, but cannot be employed when trying to calculate the strength of the relationship between the variables. Correlation coefficient does a better job in measuring the strength of relationships between two quantitative variables.
I believe it is the nervous system but I'm not 100% sure
