Tuesday , May 30 2023

Women are more likely to suffer from depression twice. Why? | health


Rome Depression is a weakness in women and is twice as likely to cause depression as compared to men. If you suffer from other diseases, the problem is getting worse, wrote Italian daily La Repubblica.

Depression and cardiovascular disease will be the main causes of death in the world by 2020. Women's risk is doubled to 9.1% for men versus 4.8% for men. Also, depressed women among cardiovascular patients are twice as likely as men. Depression is a risk factor for heart attacks and heart attacks.

This problem is solved by numerous international studies. The last was published in Español de Cardiología, a Spanish scientific journal.

"As far as cardiovascular disease is concerned, we know that more than a third die and the risk factors are especially smoking and diabetes. The link between depression and cardiovascular disease will be a major cause of death in the world in 2020, Will be at double risk, "said neuroscientist Claudio Mencacci of the Fatebenefratelli-Sacco Hospital in Milan.

Takottsubo syndrome

Women are at greater risk of all heart disease. Depression among cardiologists is twice as likely to occur in women as men and depression is a risk factor for heart attack and heart attack. In addition, suita syndrome and acute heart failure syndrome are certainly present in women. It is a clinical picture mimicking myocardial infarction. It occurs only in menopausal women and is caused by mental stress.

It is important to rely on the right way of life so that depression is not a risk factor for heart disease. Experts recommend avoiding smoking and developing healthy eating and physical activity. However, it is advisable to control other factors that can harm your health, especially the health of postmenopausal women. This includes interfering with neurophysiological mechanisms that respond to stress, inflammation, and thrombosis.

Psychological problems can be avoided by making the first signs of depression that people write, share or place on social networks through algorithms that can search for the first signs of a disease before an official medical diagnosis. This is a study published in the Proceedings of the National Academy of Sciences at the University of Pennsylvania.

In this study, the researchers analyzed data from social media through the diagnosis of depression in a group of 1,200 people who agreed to publish their data. They have found that this computer model can predict some degree of depression in the future to some degree.

"What people use for social media shows aspects of life that are difficult to analyze using medical and research tools," said H. Andrew Schwartz, lead author of the World Welfare Project (Wwbp). This is a group of computer professionals, psychologists and statisticians working together to develop new technologies for measuring psychological and health-based well-being based on the languages ​​used in social media.

"This technology is rarely present until now, for example, when symptoms of depression, anxiety, and post-traumatic stress are present," Schwartz adds, "we find more signals in the world of social networks that people are free to express."

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