相关实验视频
Updated: Jul 6, 2025

07:57
A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
20.9K
经济活动和自杀:英格兰和威尔士的宏观经济冲击的因果证据
Gabriele M Lepori1, Sara Morgan1, Borna A Assarian2
1University of Southampton, Southampton, UK.
Social science & medicine (1982)
|January 5, 2024
概括
宏观经济冲击显著影响自杀率. 消费者信心和房价下降等负面经济新闻增加了自杀率,性别和经济状况之间存在差异.
科学领域:
- 经济学 经济学 经济学
- 公共卫生 公共卫生
- 社会学 社会学 社会学
背景情况:
- 经济活动与自杀率之间的联系得到了充分证实,但因果关系仍未得到充分研究.
- 现有的研究主要集中在关联上,忽视了经济冲击的影响.
研究的目的:
- 估计宏观经济变量对英格兰和威尔士每日自杀率的因果关系.
- 调查经济"惊喜"或"冲击"如何影响自杀率.
主要方法:
- 在英格兰和威尔士 (1997-2017) 的数据上利用时间序列回归分析.
- 采用宏观经济公告和专业经济预测来识别外部冲击.
- 利用实际经济表现和预期之间的差异来捕捉"惊喜".
主要成果:
- 外源的宏观经济冲击明显影响了自杀率.
- 对消费者信心和房价的负面冲击与自杀率的增加有关.
- 观察到的性别特异性和国家特异性影响:消极的零售价格指数冲击对男性产生影响,消极的国内生产总值增长冲击在经济衰退期间对人口产生影响,当公众信任较低时,失业率上升对女性产生影响.
结论:
- 经济理论支持的发现是,减少永久收入和预期效用的冲击会提高自杀率.
- 宏观经济冲击对自杀率有因果影响,在不同的人口统计和经济环境中具有微妙的影响.
关键词:
因果关系是因果关系.消费者信心是消费者的信心.英国和威尔士的英格兰和威尔士.国内生产总值 (GDP) 国内生产总值 (GDP) 是一个.宏观经济冲击 宏观经济冲击专业预测是专业的预测.自杀自杀的自杀是自杀的自杀.更多相关视频
06:55An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
Published on: December 2, 2015
22.5K
09:37Chronic Stress Shifts Effort-Related Choice Behavior in a Y-Maze Barrier Task in Mice
Published on: August 13, 2020
11.2K
相关概念视频
Causality in Epidemiology
421
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
421
Cause and Effect
10.9K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
10.9K
Depressive Disorders: Etiology
102
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
102
Assumptions of Survival Analysis
133
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
133
Stress and Mental Health
157
Chronic stress profoundly affects mental health, significantly influencing mood, behavior, and overall quality of life. Research closely links chronic stress with mental health conditions such as depression, anxiety, and substance use disorders. Ongoing exposure to stress can lead to physiological and psychological changes, initiating a cycle of emotional distress and maladaptive coping mechanisms.
Individuals with depression often experience challenges in both their personal and professional...
Individuals with depression often experience challenges in both their personal and professional...
157
Introduction To Survival Analysis
242
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
242