Reducing Suicides in the Black Community Will Require a Community-Informed Approach

A recent CDC report highlights a 29.4% increase in suicide rates among Black youth (aged 10–24) from 2018–2023, contrasting with national declines. Addressing this crisis requires moving beyond “one-size-fits-all” models toward relational, community-based care that prioritizes trust, cultural nuance, lived experience, and the social drivers of health affecting Black communities.

Authors

Institutions

Publication Details

Journal
North Carolina Medical Journal
Published
2026-04-30
DOI
https://doi.org/10.18043/001c.160251
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reducing Suicides in the Black Community Will Require a Community-Informed Approach

V.C. Armstrong
North Carolina Medical Journal
Suicide and Self-Harm Studies
article

Reducing Suicides in the Black Community Will Require a Community-Informed Approach

V.C. Armstrong
article en

Abstract

A recent CDC report highlights a 29.4% increase in suicide rates among Black youth (aged 10–24) from 2018–2023, contrasting with national declines. Addressing this crisis requires moving beyond “one-size-fits-all” models toward relational, community-based care that prioritizes trust, cultural nuance, lived experience, and the social drivers of health affecting Black communities.

North Carolina Medical JournalVol. 87(1)
American Foundation for Suicide Prevention (US)
Gender equality
Openalex Percentile: Top 6%
Suicide and Self-Harm Studies
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.