Evidence map›Paper›PMID 41215471›Full record

ArticleBrain and behavior2025

The Risk of Road Traffic Injuries Caused Hospitalization and the Risk of Mental Health Illness: A Nationwide, Matched-Cohort, Population-Based Study in Taiwan.

Yu-An Chen, Wu-Chien Chien, Li-Yun Fann, Ying-Che Huang, Chi-Hsiang Chung, Tsu-Hsuan Weng, Chun-Teng Tsai

Abstract read
In one paragraph

Article in Brain and behavior, 2025. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yu-An ChenDepartment of General Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei City, Taiwan, Republic of China.
Wu-Chien ChienDepartment of Medical Research, Tri-Service General Hospital, National Defense Medical University, Taipei City, Taiwan, Republic of China.ORCID https://orcid.org/0000-0002-3286-0780
Li-Yun FannTzu Chi University College of Nursing, Hualien City Hualien County, Taiwan, Republic of China.
Ying-Che HuangDepartment of Anesthesiology, Yangming Branch, Taipei City Hospital, Taipei City, Taiwan, Republic of China.
Chi-Hsiang ChungDepartment of Medical Research, Tri-Service General Hospital, National Defense Medical University, Taipei City, Taiwan, Republic of China.
Tsu-Hsuan WengDepartment of General Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei City, Taiwan, Republic of China.
Chun-Teng TsaiDepartment of Medical Research, Tri-Service General Hospital, National Defense Medical University, Taipei City, Taiwan, Republic of China.

Funding

Board of Tri-Service General HospitalNational defense Medical Center E202516024National defense Medical Center TSGHIRBTri-Service General Hospital Research Foundation TSGH-A-114010Tri-Service General Hospital Research Foundation TSGH-B-114022Tri-Service General Hospital Research Foundation TSGH-D-114196
6 · The paper itself

Abstract

backgroundWhile road traffic injuries (RTIs) are a significant global health concern, medical attention has predominantly addressed physical injuries, often overlooking the psychological impact on survivors. The mental health consequences of such traumatic events remain understudied and inadequately addressed in clinical practice.

aimsThis study examined the association between RTIs and subsequent mental health disorders. METHODS AND PROCEDURES: We conducted a retrospective cohort analysis using claims data from Taiwan's National Health Insurance Research Database (NHIRD) between 2000 and 2015. The exposed cohort comprised 39,870 patients hospitalized following RTIs. These individuals were matched 1:27 with 1,076,911 control patients hospitalized for non-RTI-related conditions, using propensity score matching based on sex, age, and admission date. Multivariable Cox proportional hazards regression models were employed to compute adjusted hazard ratios (aHRs), assessing the risk of psychiatric diagnoses in the RTI group compared to controls. OUTCOMES AND

resultsPatients hospitalized following RTIs demonstrated a substantially increased risk of subsequent mental health disorders compared to matched controls (adjusted hazard ratio [aHR] = 2.20, 95% confidence interval [CI]: 1.66-2.79). This elevated risk remained statistically significant after comprehensive adjustment for potential confounding variables.

Indexed as

Accidents, TrafficHospitalizationMental DisordersWounds and InjuriesAdolescentAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsTaiwan

Identifiers

PMID41215471
PMCPMC12602460

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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.