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Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

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.
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

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...
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

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...
Cattell's 16 Personality Factors01:24

Cattell's 16 Personality Factors

Raymond Cattell's trait theory offers a structured framework for understanding personality by distinguishing between two critical traits: surface and source traits. Surface traits are observable patterns of behavior, such as indecisiveness, anxiety, and irrational fears. These traits are less stable, varying across situations and over time. This means that they are less helpful in understanding the deeper aspects of an individual's personality.
In contrast, source traits are the fundamental,...
Factors Influencing Attraction VI: Personality Traits01:23

Factors Influencing Attraction VI: Personality Traits

Personality traits are fundamental in shaping social perception and influencing interpersonal relationships. Certain traits, such as agreeableness and extraversion, contribute positively to social interactions, whereas others, such as narcissism, have complex and often contradictory effects on how individuals are perceived over time.The Role of Agreeableness and ExtraversionAgreeableness and extraversion are associated with higher levels of interpersonal attractiveness and likability.

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Related Experiment Video

Updated: May 24, 2026

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder
09:55

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

Published on: March 8, 2018

Patient predictor variables for six forms of suicidality.

D A Fishbain1, J E Lewis, D Bruns

  • 1University of Miami Miller School of Medicine, Miami, FL 33136, USA. d.fishbain@miami.edu

European Journal of Pain (London, England)
|February 17, 2012
PubMed
Summary
This summary is machine-generated.

Predictors of suicidality differ between acute pain patients (APP) and chronic pain patients (CPP). Novel variables like perseverance emerged, with demographic factors (except employment) not being significant predictors in this pain patient study.

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Last Updated: May 24, 2026

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder
09:55

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

Published on: March 8, 2018

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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

Area of Science:

  • Psychology
  • Clinical Psychology
  • Pain Management

Background:

  • Research indicates a link between chronic pain and suicidality.
  • Understanding predictors of suicidality in pain populations is crucial for intervention.

Purpose of the Study:

  • To identify variables predicting suicidality in rehabilitation acute pain patients (APP) and chronic pain patients (CPP).
  • To explore specific predictors for six distinct suicidality items.

Main Methods:

  • Utilized the Battery for Health Improvement-Research Version (BHI-R) in a sample including healthy individuals, community patients, APPs, CPPs, and non-pain rehabilitation patients.
  • Employed logistic regression to develop predictor models for each suicidality item in APPs and CPPs.

Main Results:

  • Predictor variables for suicidality varied significantly between APPs and CPPs, and across different suicidality items.
  • Identified known predictors (e.g., substance abuse) and novel factors (e.g., perseverance).
  • Demographic variables, except employment, were not predictive, contrasting with general suicide literature.

Conclusions:

  • Suicidality predictors are differentially distributed in acute versus chronic pain patients.
  • Certain suicidality predictors appear unique to individuals experiencing pain.