Men who drink a lot of sugar are at higher risk for depression

Eating more than 67 grams of sugar per day, which is two cans of carbonated soft drink, could increase the risk of depression in men by 23% in five years.

Eating a diet rich in sweet foods can adversely affect your health in many ways. The latest finding is that taking more than 67 grams of sugar a day, equivalent to two cans of carbonated soda, increases the risk of long-term depression in men by 23%. The study that confirms this has been carried out by researchers from the Department of Epidemiology and Public Health at University College London.

Men who drink a lot of sugar are at higher risk for depression

The research, published in Scientific Reports, lasted more than two years, and questionnaires on the type of feeding carried out by the individuals in the sample showed that men who ate more than 67 grams of sugar per day had almost a quarter more risk of affective disorders at age five than those who took less than 39.5 grams of sugar per day in their diets.

The data apparently showed that it did not occur in the same way in women, although the researchers point out that the sample of females was not as representative as that of males.

This could occur, according to the authors, because abuse of sugar intake increases blood glucose levels, which, if it becomes commonplace, can lead to varying levels of neurotrophic factor, a protein associated with nerve growth. If many sweet foods are consumed repeatedly, such as soft drinks, pastries or confectionery, this process of regeneration of the nervous system could be damaged, something that has been linked to the development of depression.

In addition to this finding, it was also observed that, contrary to what is believed and shown in many films, having depression does not lead to a higher intake of sweet foods, but rather the opposite. Data from a previous study, which was conducted in 1985 and lasted for more than 20 years, were used in the work. There were 10,308 participants, 33.1% of the sample were women and 66.9% were men.

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