Evidence map›Paper›PMID 42044338›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

A century of suicide: Insights from long-term data in the United States.

Nina de Lacy, Wai-Yin Lam, Timothy Collins, David Danks, Fernando A Wilson, Ken R Smith, Bernice A Pescosolido

Abstract readHistorical Article
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nina de LacyDepartment of Psychiatry, University of Utah, Salt Lake City, UT 84112.
Wai-Yin LamDepartment of Psychiatry, University of Utah, Salt Lake City, UT 84112.
Timothy CollinsSchool of Environment, Society, and Sustainability, University of Utah, Salt Lake City, UT 84112.
David DanksCorcoran Department of Philosophy, and School of Data Science, University of Virginia, Charlottesville, VA 22904.ORCID 0000-0003-4541-5966
Fernando A WilsonMatheson Center for Health Care Studies, University of Utah, Salt Lake City, UT 84108.
Ken R SmithDepartment of Family and Consumer Studies, University of Utah, Salt Lake City, UT 84112.ORCID 0000-0003-0682-3705
Bernice A PescosolidoDepartment of Sociology, Indiana University, Bloomington, IN 47405.ORCID 0000-0002-3690-5878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2024 National Strategy for Suicide Prevention identifies suicide as "an urgent and growing public health crisis" driven partly by mental health and overdose rates, the COVID-19 pandemic, and declining social connectedness. Yet, data constraints have limited long-term investigations of suicide trends. Acknowledging limits in data sequence continuity, we constructed the Suicide Trends and Archival Comparative Knowledgebase (STACK), harmonizing data from 1900-2021. Coupling visualizations with Joinpoint regressions, we examine the contemporary suicide crisis in historical perspective. Data reveal patterns that both support and challenge prevailing understandings of suicide risk, trends, and drivers. Overall, we document a cyclical, dampening, and downward-trending pattern of suicide over 120 y, contrasting sharply with trends in other causes of death. However, this trend is offset by a sharp rise and unique patterning for persons under 35, beginning in the mid-to-late 1950s. The contemporary "youth crisis" spans a broader age range and begins much earlier than typically acknowledged. Each successive generation faces risk at younger ages, accompanied by a startling rise in suicide by hanging since the 1980s among both males and females. Despite ongoing concerns about rural populations and the elderly, living in large metropolitan areas (versus suburban and rural areas) and being older have recently emerged as protective factors. While analyses by race or rurality remain limited to the last half century because of data availability, the long-term temporal, geographic, and sociodemographic complexity of suicide mortality trends offers critical insights and intriguing avenues for next-generation research, treatment, and prevention efforts.

Indexed as

SuicideAdolescentAdultAgedCOVID-19FemaleHistory, 20th CenturyHistory, 21st CenturyHumansMaleRisk FactorsUnited Stateshistorical epidemiologysociodemographic risk factorssuicide

Identifiers

PMID42044338
PMCPMC13142972

What OpenQuestion holds

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LicenceCC BY
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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.