Risk and Protective Factors for Suicide Mortality in Youths: A Systematic Review and Meta-Analysis - Scorecard - MDSpire

Risk and Protective Factors for Suicide Mortality in Youths: A Systematic Review and Meta-Analysis

  • By

  • Marie-Claude Geoffroy

  • Elizabeth Baker-Sullivan

  • Nusrat Jahan Nitu

  • Alessia Civita

  • Jill Boruff

  • Mark Sinyor

  • Jo Robinson

  • Kathleen MacDonald

  • Lauren Anzarouth

  • Elise Chartrand

  • Srividya N. Iyer

  • Rachel Langevin

  • Jane Pirkis

  • Brett Thombs

  • July 2, 2026

  • 0 min

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Clinical Scorecard: Identifying Risk and Protective Elements Associated with Youth Suicide Mortality: A Comprehensive Review and Meta-Analysis

At a Glance

CategoryDetail
ConditionYouth Suicide Mortality
Key MechanismsMental disorders, social adversity, and health care contact
Target PopulationIndividuals aged 10 to 24 years
Care SettingSystematic review and meta-analysis of risk and protective factors

Key Highlights

  • Suicide is a leading cause of death among youth aged 10 to 24 years.
  • Boys die by suicide at 2 to 5 times the rate of girls.
  • Limited documentation of risk and protective factors for youth suicide mortality.
  • Previous reviews often focused on suicidal ideation rather than mortality.
  • This study synthesizes a broad range of factors specific to youth suicide mortality.

Guideline-Based Recommendations

Diagnosis

  • Utilize case-control and cohort studies to assess risk factors.

Management

  • Target prevention strategies based on identified risk and protective factors.

Monitoring & Follow-up

  • Evaluate the impact of social adversity and mental health on youth suicide rates.

Risks

  • Consider the convergence of mental disorders and social adversity in youth.

Patient & Prescribing Data

Youth aged 24 years or younger

Focus on mental health and socioecological determinants.

Clinical Best Practices

  • Conduct systematic reviews to identify risk and protective factors.
  • Incorporate developmental differences in youth when assessing suicide risk.
  • Utilize standardized screening guides for consistency in data extraction.

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