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Population-attributable fractions of Axis i and Axis II mental disorders for suicide attempts: Findings from a representative sample of the adult, noninstitutionalized US population

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  • Bolton, J.M.
  • Robinson, J.

Abstract

Objectives. We aimed to determine the percentage of suicide attempts attributable to individual Axis I and Axis II mental disorders by studying population-attributable fractions (PAFs) in a nationally representative sample. Methods. Data were from the National Epidemiologic Survey on Alcohol and Related Conditions Wave 2 (NESARC; 2004-2005), a large (N=34653) survey of mental illness in the United States. We used multivariate logistic regression to compare individuals with and without a history of suicide attempt across Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Axis I disorders (anxiety,mood, psychotic, alcohol, and drug disorders) and all 10 Axis II personality disorders. PAFs were calculated for each disorder. Results. Of the 25 disorders we examined in the model, 4 disorders had notably high PAF values: major depressive disorder (PAF=26.6%; 95% con?dence interval [CI]=20.1, 33.2), borderline personality disorder (PAF=18.1%; 95% CI=13.4, 23.5), nicotine dependence (PAF=8.4%; 95% CI=3.4, 13.7), and posttraumatic stress disorder (PAF=6.3%; 95% CI=3.2, 10.0). Conclusions. Our results provide new insight into the relationships between mental disorders and suicide attempts in the general population. Althoughmany mental illnesses were associated with an increased likelihood of suicide attempt, elevated rates of suicide attempts were mostly attributed to the presence of 4 disorders.

Suggested Citation

  • Bolton, J.M. & Robinson, J., 2010. "Population-attributable fractions of Axis i and Axis II mental disorders for suicide attempts: Findings from a representative sample of the adult, noninstitutionalized US population," American Journal of Public Health, American Public Health Association, vol. 100(12), pages 2473-2480.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2010.192252_8
    DOI: 10.2105/AJPH.2010.192252
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    Cited by:

    1. Chris Caulkins, 2019. "Detection of Psychological Trauma and Suicide Risk among Emergency Medical Services Personnel- An Artificial Intelligence Approach," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 23(3), pages 17372-17376, December.
    2. Long Sun & Jie Zhang & Dorian A. Lamis & Yifan Wang, 2021. "Risk Assessment on Suicide Death and Attempt among Chinese Rural Youths Aged 15–34 Years," IJERPH, MDPI, vol. 18(24), pages 1-12, December.

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