Related Experiment Video
Updated: Jan 17, 2026

07:31
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
7.5K
Relations Between Proximal and Distal Predictors of Suicide Risk among College Students
Hillel R Alpert1, Megan E Slater2, Robert C Freeman3
1CSR, Incorporated, 20130 Lakeview Center Plaza, Suite 400, Ashburn, VA 20147.
Psychology of Violence
|September 25, 2025
Summary
Emerging adults
Area of Science:
- Psychology
- Public Health
- Sociology
Background:
- Rising rates of suicide and mental health issues in young adults.
- Emerging adulthood as a critical transition period.
- Need to understand factors contributing to suicide attempts.
Purpose of the Study:
- Examine distal and mediating proximal factors of suicide attempts in emerging adults.
- Decompose relationships between past-year suicide attempt and risk factors.
- Inform suicide prevention strategies.
Main Methods:
- Bivariate, multivariate, and mediation regression analyses.
- Utilized five years of data from a large national student survey.
- Controlled for personal and sociodemographic characteristics.
Main Results:
- 1.2% of 372,000 college students reported a past-year suicide attempt.
- Proximal factors like physical abuse history (73.9%) and childhood financial distress (40.2%) significantly mediated distal factors.
- Recent depression and sexual assault victimization explained over 40% of indirect associations.
Conclusions:
- Understanding dynamic relationships between distal and proximal risk factors is crucial.
- Informs integrated clinical and campus suicide prevention strategies.
- Aims to mitigate severe consequences of mental health disorders, substance misuse, and life stressors.
Keywords:
AdolescenceAlcohol Use DisorderDevelopmentalMediation AnalysisMental HealthRisk FactorsSexual AssaultSuicideMore Related Videos
Related Concept Videos
Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Factors Influencing Attraction I: Proximity
243
Proximity plays a fundamental role in shaping interpersonal attraction by increasing opportunities for interaction and fostering familiarity. Research consistently demonstrates that individuals are more likely to form social bonds with those who are physically closer to them, whether in residential settings, workplaces, or educational institutions. This effect is largely driven by the increased frequency of encounters, which facilitates the development of friendships and romantic...
243
Reliability and Validity
13.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.7K
Self-Discrepancy Theory
18.9K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
18.9K
Theory of Attribution II: Kelley's Covariation Theory
497
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
497
Cross-Sectional Research
12.4K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.4K

