Related Experiment Video
Updated: Jun 12, 2025
08:05
A Procedure to Study Stress-Induced Relapse of Heroin Seeking after Punishment-Imposed Abstinence
Published on: March 23, 2022
2.5K
Lethality and recidivism in suicide Attempters: A longitudinal study
Eugènia Nicolau-Subires1, Vicent Llorca-Bofí2, Laura Arenas-Pijoan1
1Departament of Psychiatry, Hospital Universitari de Santa Maria, Spain; Institut de Recerca Biomèdica Lleida, Lleida, Spain.
Journal of Psychiatric Research
|June 10, 2025
Summary
High lethality suicide attempts correlate with frequent reattempts and increased mortality risk. Targeted interventions are crucial for individuals with repeated, high-lethality behaviors to reduce suicide risk.
Area of Science:
- Psychiatry
- Public Health
- Epidemiology
Background:
- Suicide attempt lethality and recidivism are critical clinical concerns.
- Existing literature lacks clarity on the link between suicide attempt recurrence and lethality.
- Understanding this relationship is vital for informed clinical decision-making and risk assessment.
Purpose of the Study:
- To investigate the relationship between suicide attempt lethality and recidivism.
- To examine the combined impact of lethality and recidivism on overall mortality.
- To identify factors associated with high-lethality attempts and frequent reattempts.
Main Methods:
- A 5-year longitudinal study of 1206 suicide attempters.
- Data collection included sociodemographics, clinical factors, lethality, reattempts, and mortality.
- Logistic regression analyzed associations between high lethality, frequent reattempts, and death.
Main Results:
- High lethality occurred in 28.3% and frequent reattempts in 18.2% of the cohort.
- Risk factors for frequent reattempts included eating disorders, female gender, substance use disorders, and high lethality.
- High-lethality attempts were linked to prior recidivism, frequent reattempts, and older age; suicidal death risk associated with high lethality, psychotic disorders, and older age.
Conclusions:
- High lethality suicide attempts are associated with increased frequency of reattempts and elevated mortality risk.
- Targeted interventions are necessary for individuals exhibiting repeated and high-lethality suicidal behaviors.
- Screening for physical comorbidities in high-lethality patients is essential to mitigate non-suicidal mortality.
More Related Videos
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
10.7K
05:52Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
Published on: November 21, 2013
14.9K
Related Concept Videos
02:20Longitudinal Research
11.9K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.9K
01:15Assumptions of Survival Analysis
101
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.
101
01:26Longitudinal Studies
141
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
141
01:18Introduction To Survival Analysis
188
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...
188
01:20Actuarial Approach
63
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,...
63
01:11Hazard Rate
92
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
92