Investigative Depression Potential Influencing Factors of Studies

Authors

  • Peiwen Yan

DOI:

https://doi.org/10.54097/z7bg5y15

Keywords:

Depression; logistic regression model; public health issue.

Abstract

Depression, a mental health disorder, is increasingly becoming an important public health issue worldwide. With the increasing social pressure, interpersonal problems and life challenges, the incidence rate of depression is also rising. This situation has sparked widespread research interest to gain a deeper understanding of the underlying causes, pathophysiological mechanisms, and effective treatment methods of depression. This article will delve into the research progress of depression, including the latest scientific discoveries, diagnostic methods, and treatment strategies. We will use a combination of charts and logistic regression models to conduct research. We will focus on expert opinions from different fields and aim to provide a comprehensive overview to better understand depression and provide useful insights for future research and treatment directions. Depression is no longer an isolated problem, but a challenge that global society needs to face together. This paper looks forward to making more contributions through in-depth research to alleviate the pain of depression patients and improve the overall mental health level of society.

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References

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Published

29-03-2024

How to Cite

Yan, P. (2024). Investigative Depression Potential Influencing Factors of Studies. Highlights in Science, Engineering and Technology, 88, 142-148. https://doi.org/10.54097/z7bg5y15