Evidence map›Paper›PMID 40376253›Full record

ArticlePopulation research and policy review2025

The Role of Despair in Predicting Self-Destructive Behaviors.

Lauren Gaydosh, Audrey Kelly, Iliya Gutin, Lilly Shanahan, Jennifer Godwin, Kathleen Mullan Harris, William Copeland

Abstract read
In one paragraph

Article in Population research and policy review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lauren GaydoshDepartment of Sociology and the Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA.ORCID 0000-0002-0036-626X
Audrey KellyCarolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA.
Iliya GutinCenter for Policy Research, The Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY 13244 USA.
Lilly ShanahanJacobs Center for Productive Youth Development and Department of Psychology, The University of Zurich, 8050 Zurich, Switzerland.
Jennifer GodwinDuke Center for Child and Family Policy, Duke University, Durham, NC 27708 USA.
Kathleen Mullan HarrisDepartment of Sociology and the Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA.
William CopelandDepartment of Psychiatry, The University of Vermont, Burlington, VT 05405 USA.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VII Core ProjectU01AG071448 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER · 2021 to 2026
$40.2M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VI Cognition and Early Risk Factors for Dementia ProjectU01AG071450 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AIELLO, ALLISON E, HUMMER, ROBERT A · 2021 to 2025
$16.2M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Diseases of Despair in Young Adulthood: Risk, Resilience, and PreventionR01MH117559 · NIMH · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI COPELAND, WILLIAM · 2018 to 2021
$1.6M
NIA NIH HHS U01 AG071448NIA NIH HHS U01 AG071450NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD042849NICHD NIH HHS P2C HD050924NIMH NIH HHS R01 MH117559
6 · The paper itself

Abstract

Working age (25-64) mortality in the US has been increasing for decades, driven in part by rising deaths due to drug overdose, as well as increases in suicide and alcohol-related mortality. These deaths have been hypothesized by some to be due to despair, but this has rarely been empirically tested. For despair to explain mortality due to alcohol-related liver disease, suicide, and drug overdose, it must first predict the behaviors that lead to such causes of death. To that end, we aim to answer two research questions. First, does despair predict the behaviors that are antecedent to the "deaths of despair"? Second, what measures and domains of despair are most important? We use data from over 6000 individuals at five waves of the National Longitudinal Study of Adolescent to Adult Health and apply supervised machine learning to assess the role of despair in predicting self-destructive behaviors associated with these causes of death. Comparing predictive performance within each outcome using measures of despair to benchmark models of clinical and prior behavioral predictors, we evaluate the added predictive value of despair above and beyond established risk factors. We find that despair underperforms compared to clinical risk factors for suicidal ideation and heavy drinking, but over performs compared to clinical risk factors and prior behaviors for illegal drug use and prescription drug misuse. We also compare model performance and feature importance across outcomes; our ability to predict thoughts of suicide, drug abuse and misuse, and heavy drinking differs depending on the behavior, and the relative importance of different indicators of despair varies across outcomes as well. Our findings suggest that the self-destructive behaviors are distinct and the pathways from despair to self-destructive behavior varied. The results draw into question the relevance of despair as a unifying framework for understanding the current crisis in midlife health and mortality.

Indexed as

Alcohol useDespairMachine learningSubstance useSuicide

Identifiers

PMID40376253
PMCPMC12075290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.