Research on the Influencing Factors of Depression Based on Regression Analysis

Abstract

With the rapid development of living standards, mental health has gradually become a topic of concern in people's daily lives. Among the many psychological problems of the 21st century, depression has become a widespread concern. The symptoms of depression include low mood, unhappiness, inability to find things that interest oneself, and a decline in willpower. According to the latest statistics from the World Health Organization, about 5% of adults worldwide suffer from mild or severe depression, and some of them choose to have a light life. This shows that the negative impact of depression is very significant. Therefore, scientists from around the world are also further studying the causes of depression and the related factors that affect the probability of depression occurrence. This article conducted regression analysis and correlation coefficient analysis on the influencing factors of depression. Firstly, by comparing the impact of the probabilities of bidirectional emotional disorders, dietary disorders, and alcohol use disorders in different countries on the incidence of depression. Furthermore, the per capita Gross Domestic Product (GDP) of different countries and the changes in the incidence of depression over time and after the promulgation of relevant policies were analyzed.