无计划与计划自杀企图的人口特征:伊朗雅兹德的一项比较研究
Kamyab Peyman1, Shahab Ali Shirkhoda2, Parvaneh Rashidpour2
1Department of Psychiatry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. kamyabpeyman@gmail.com.
BMC psychology
|October 3, 2025
概括
计划性自杀企图在22-31岁的男性中更为常见,而未计划性自杀企图在22岁以下的女性中更为常见. 了解这些人口差异是制定有针对性的自杀预防策略的关键.
科学领域:
- 精神病学是一个精神病学.
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 自杀仍然是一个关键的全球卫生问题,伊朗的自杀企图率一直很高.
- 了解计划性与非计划性自杀企图的人口差异对于有效预防至关重要.
- 这项研究集中在伊朗雅兹德省的沙希德·贝赫什蒂医院寻求护理的个人身上.
研究的目的:
- 调查计划和计划之外的自杀企图之间的人口差异.
- 为了确定参与不同类型的自杀企图的个体的特定特征.
- 为伊朗制定量身定制的自杀预防策略提供信息.
主要方法:
- 对307名自杀企图 (2022年3月至2023年5月) 的回顾性横截面研究.
- 根据精神病学专家的采访,将尝试分为计划或计划外的.
- 使用包括后勤回归在内的统计方法分析人口和临床变量.
主要成果:
- 非计划性尝试占74.59%的病例,主要是女性和22岁以下的人群.
- 计划性尝试占25.41%,在男性和22-31岁年龄组中更为常见.
- 男性性别,先前的自杀企图和22-31岁是计划尝试的重要预测因素.
结论:
- 对于有计划和无计划的自杀企图,存在不同的人口特征.
- 研究结果表明,针对不同高风险群体需要有针对性的干预措施.
- 进一步研究自杀行为的复杂性是有必要的,以减少尝试率.
相关概念视频
Psychological and Sociocultural Causes of Schizophrenia
470
Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
470
Surveys
16.6K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.6K
Comparing the Survival Analysis of Two or More Groups
561
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
561
Assumptions of Survival Analysis
396
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.
396
Actuarial Approach
288
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
288
Depressive Disorders: Etiology
444
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...
444


