Study Shows Chances Of Depression In Men Could Rise Due To Over Consumption Of Sugar

Based on a new study conducted, men who take a lot of sugar when eating cakes and confectionery products or drinking their coffee and drinks can have a higher chance of having depression. This is why we are always reminded by our loved ones to take care of yourself because having too much of one thing can be bad.

The University College London researchers are the ones who conducted the study and evaluate the sugar contain in the diet as well as its correlation with common mental health issues that are found in a participant of 5,000 men and 2,000 women. They were recruited in the 1980s to participate in the Whitehall II study.

They were able to see the relationship between the depression and the high level of sugar consumption in men. Men who take a lot of sugar which is over the 67 grams recommendation per day have a chance of having common mental health issue by more than 23 within a period of five years. This is in comparison to men who only take sugar in low level, lower than 39.5 grams.

The researchers also looked into the fact that these men might be consuming a lot of sweet foods due to depression but they found out that it is not true.

Anika Knuppel who is working at the UCL Institute of Epidemiology and Health is the lead author of the study. According to her, high level of sugar content in the diet of men could lead to a number of effects on the health of a person. The study also revealed that there is a correlation between mood swings and sugar consumption especially in men. There are several factors that could be the reason for the mood changes but consuming a lot of sugar in drinks and foods could be the trigger for the depression to break out of its shell.

The researchers are urging men to take care of yourself because this is not a case to be taken lightly. As with women, there has been no relation between depression and the amount of sugar consumption. They concluded that additional research might be needed and that bigger population samples should be used.

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