Thursday , July 29 2021

double the probability of men getting depressed – CT24 – Czech Television



Depression and cardiovascular disease will be the main reason for the inability of the world to deal with itself or the failure to work in 2020. The risk for women will be two-way: Men's ratio of 9.1% to 4.8%. Among cardiovascular patients, there are two times more depressed women than men. Depression is a risk factor for a heart attack and heart failure.

This issue is addressed through a large number of international studies. The last one was published in the Spanish magazine Science Magazine Española de Cardiología.

"In the case of cardiovascular diseases, we know that more than one-third of them die and that risk factors are mainly cigarettes and diabetes," said Claudio Mencacci, who spoke at the Fatebenefratelli-Sacco clinic in Milan. Says.

Women at risk

The woman is more at risk for joining all heart diseases and depression. Depression among cardiology patients is two times higher in women than men. also Sootsubo syndromeAcute heart failure syndrome is definitely greater in women. A clinical picture mimicking myocardial infarction. It is only seen in menopausal women and is caused by psychic stress.

To prevent depression from becoming a risk factor for heart disease, it is very important to rely on the right lifestyle, experts agree. They propose to avoid smoking, healthy eating and physical activity. However, other factors that could threaten health and threaten women's health, especially after menopause, should be controlled. These include disrupting neurobiological mechanisms that respond to stress, inflammation and thrombosis.

Computer predicts depression

Psychological problems can be prevented by means of an algorithm that allows people to search for the first symptoms of the disease before the official medical diagnosis, by showing the first signs people have written, shared or placed on social networks. It was researched by the University of Pennsylvania published in the Proceedings of the National Academy of Sciences.

In this study, scientists analyzed the data obtained from social media in a group of 1,200 people who agreed to publish the data with the diagnosis of depression. They found that this computer model could predict future depression a little.

"He writes on social media that people write what they do, which is very difficult to analyze by using medical and research tools," explains H. Andrew Schwartz, co-author of the World Social Life Project (Wwbp, World Welfare Project). This is a group of computer experts, psychologists and statisticians working together to develop new techniques to measure psychological and health-based well-being based on language used in social media.

"These techniques have very little history. For example, when symptoms of depression, anxiety, and post-traumatic stress develop, we find more signals in the world of social networks where people express themselves freely," adds Schwartz.


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