Evidence map›Paper›PMID 41624232›Full record

ArticleAJPM focus2026

A Descriptive Analysis of Suicide Trends by Race/Ethnicity, Sex, and Age Categories in Santa Clara County, California From 2018 to 2023.

Amy C Watson-Grace, Gia E Barboza-Salerno, Karla J Shockley McCarthy, Taylor R Harrington, Yujeong Chang, Charis J Stanek, Keith L Warren

Abstract read
In one paragraph

Article in AJPM focus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Amy C Watson-GraceCollege of Medicine, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio.
Gia E Barboza-SalernoCollege of Public Health, The Ohio State University, Columbus, Ohio.
Karla J Shockley McCarthyOhio Colleges of Medicine Government Resource Center, Columbus, Ohio.
Taylor R HarringtonCollege of Public Health, The Ohio State University, Columbus, Ohio.
Yujeong ChangCollege of Social Work, The Ohio State University, Columbus, Ohio.
Charis J StanekCollege of Social Work, The Ohio State University, Columbus, Ohio.
Keith L WarrenCollege of Social Work, The Ohio State University, Columbus, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to measure suicide rate differences across race/ethnicity, age, and sex groups in Santa Clara County, California, from 2018 to 2023. Methods: The incidence rate and annual percentage change in 1,024 suicides among Asian, Black, Hispanic, and White individuals in Santa Clara County were calculated. Patterns in suicide methods and significant conditions across race/ethnicity, age, and sex groups were also analyzed. Results: Suicide rates increased among Asian males aged 45-64 years (incidence rate ratio=1.26; 95% CI=1.05, 1.53) and White females aged ≥65 years (incidence rate ratio=1.28; 95% CI=1.02, 1.63) and decreased among White males aged 45-64 years (incidence rate ratio=0.87; 95% CI=0.79, 0.96) and Hispanic females aged 45-64 years (incidence rate ratio=0.54; 95% CI=0.26, 0.98). Males were significantly more likely to die by firearm suicide (Asian: 22.03% vs 5.41%; Conclusions: From 2018 to 2023, Asian males and White females experienced significant suicide increases, whereas White males and Hispanic females experienced significant decreases. These findings highlight the need to examine regional trends in suicide by race, sex, and age group.

Indexed as

race/ethnicitySilicon ValleySuicide methodsuicide prevalencesuicide ratesuicide trends

Identifiers

PMID41624232
PMCPMC12856608

What Socratic 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 Socratic graph.