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An R-Based Landscape Validation of a Competing Risk Model
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General risk preference comes up short when predicting risk-taking frequency.

Maja Asp1, Marielle Abed1, Philip Millroth2

  • 1Department of Psychology, Uppsala University, P.O. Box 1225, Uppsala, SE-751 42, Sweden.

Scientific Reports
|January 23, 2026
PubMed
Summary
This summary is machine-generated.

Impulsivity, sensation seeking, and gender significantly predict how often people take risks. General risk preference may be less important than previously thought for understanding real-life risk-taking behavior.

Keywords:
GenderImpulsivityPreferencesRisk takingSensation seeking

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Area of Science:

  • Psychology
  • Behavioral Economics

Background:

  • Risk-taking is prevalent across various human activities, including finance, crime, and health decisions.
  • Self-reported risk preferences are traditionally central to predicting risk-taking behavior.
  • Other factors like demographics, personality, and psychological traits are also implicated but less studied for predictive power.

Purpose of the Study:

  • To identify the key predictors of real-life risk-taking frequency.
  • To evaluate the relative importance of various individual difference variables.

Main Methods:

  • Surveyed 760 respondents on their engagement in risk-taking behaviors.
  • Collected data on self-reported risk preferences, impulsivity, sensation seeking, personality traits, and demographics.
  • Employed Bayesian multi-model inference for predictive analysis.

Main Results:

  • Impulsivity, sensation seeking, health and social risk preferences, and gender were the strongest predictors of risk-taking frequency.
  • These factors collectively offered a more robust prediction than general risk preference alone.

Conclusions:

  • Predicting real-life risk-taking frequency requires simultaneous examination of multiple variables.
  • The central role of a general risk-preference concept in existing theories may need re-evaluation.