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The differences between suicide ideators and suicide attempters: Simple, complicated, or complex?

Xieyining Huang1, Jessica D Ribeiro1, Joseph C Franklin1

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Summary
This summary is machine-generated.

Suicide ideators and attempters exhibit complex differences, not simple ones. Machine learning models found that many combinations of factors, rather than specific ones, distinguish these groups.

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Area of Science:

  • Psychology
  • Psychiatry
  • Behavioral Science

Background:

  • Suicide ideation and suicide attempts are critical public health concerns.
  • Understanding the distinctions between individuals who only think about suicide and those who attempt suicide is crucial for effective intervention.
  • Previous research has proposed various models for these differences, ranging from simple to complex factor interactions.

Purpose of the Study:

  • To empirically investigate the nature of differences between suicide ideators and suicide attempters.
  • To test hypotheses regarding simple, complicated, and complex distinctions between these two groups.
  • To determine if a small set of factors or a broad range of interacting factors best explains the differences.

Main Methods:

  • The study analyzed data from five independent samples (N = 3,869).
  • Univariate logistic regressions were employed to assess simple differences.
  • Machine learning (ML) methods were utilized to explore complicated and complex differences, including analyses with all variables and subsets of variables.

Main Results:

  • Univariate analyses generally yielded chance-level accuracy in distinguishing between ideators and attempters.
  • ML algorithms demonstrated good accuracy when using all variables, with performance remaining robust even after removing key or random subsets of variables.
  • Multiple logistic regressions showed poor to fair accuracy, indicating limitations in linear modeling for these distinctions.

Conclusions:

  • The differences between suicide ideators and suicide attempters are best characterized as complex.
  • Findings suggest that a multifaceted interplay of numerous factors, rather than a few specific ones, underlies these distinctions.
  • These complex differences may be more effectively understood at a psychological primitive level than through a limited set of biopsychosocial factors.