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Estimating the Association Between Mental Health Disorders and Suicide: a Review of Common Sources of Bias and Challenges and Opportunities for US-Based Research

  • Injury Epidemiology (S Marshall, Section Editor)
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Abstract

Purpose of Review

The purpose of this review is to (1) illuminate prevalent methodological approaches and estimates of association between mental health diagnoses and suicide from the meta-analytic literature; (2) discuss key internal and external validity concerns with these estimates; and (3) highlight some of the unique attributes and challenges in US-based suicide research and opportunities to move the evidence base forward.

Recent Findings

Globally, there is considerable variability in measures of association between mental health disorders and suicide and a growing debate over methodological approaches to this research. A high suicide incidence makes the US an outlier, and the decentralized nature of US administrative data poses a unique challenge to data linkage that could otherwise advance this research.

Summary

We offer methodological considerations for future research and discuss opportunities made possible by the recent expansion of the US National Violent Death Reporting System to a nationwide registry.

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Funding

Financial support for this work was provided by the University of North Carolina at Chapel Hill Injury Prevention Research Center through an award (R49/CE0042479) from the Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. In addition, this research was partially supported by a National Research Service Award Pre-Doctoral/Post-Doctoral Traineeship from the Agency for Healthcare Research and Quality sponsored by The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Grant No. T32-HS000032.

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Caves Sivaraman, J.J., Naumann, R.B. Estimating the Association Between Mental Health Disorders and Suicide: a Review of Common Sources of Bias and Challenges and Opportunities for US-Based Research. Curr Epidemiol Rep 7, 352–362 (2020). https://doi.org/10.1007/s40471-020-00250-5

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