Suicide deaths by occupation skill level and educational attainment in the United States

The results suggest that educational attainment is a more robust predictor of suicide risk than occupational skill level. Targeted interventions addressing educational and ethnic disparities within higher-risk occupational groups can mitigate suicide risk.

Authors

Institutions

Publication Details

Journal
Journal of Occupational Health
Published
2024-12-27
DOI
https://doi.org/10.1093/joccuh/uiae078
Citations
8
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
5.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Suicide deaths by occupation skill level and educational attainment in the United States

Ping‐I Lin, Richard A. Grucza, Erick Messias, Enoch Azasu et al.
8 citations
Journal of Occupational Health
Suicide and Self-Harm Studies
5.11
article

Suicide deaths by occupation skill level and educational attainment in the United States

Ping‐I Lin, Richard A. Grucza, Erick Messias, Enoch Azasu, Nawar Nayeem
article en
8 citations

Abstract

The results suggest that educational attainment is a more robust predictor of suicide risk than occupational skill level. Targeted interventions addressing educational and ethnic disparities within higher-risk occupational groups can mitigate suicide risk.

Journal of Occupational HealthVol. 67(1)
St Louis Community College (US), Saint Louis University (US), University at Buffalo, State University of New York (US)
Openalex Percentile: Top 4%
Suicide and Self-Harm Studies
5.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.