Violence and self-harm in severe mental illness: inpatient study of associations with ethnicity, cannabis and alcohol.

Violence and self-harm in severe mental illness: inpatient study of associations with ethnicity, cannabis and alcohol.

Dharmawardene, Vajira;Menkes, David B;
australasian psychiatry : bulletin of royal australian and new zealand college of psychiatrists 2017 Vol. 25 pp. 28-31
284
dharmawardene2017violenceaustralasian

Abstract

We examined the extent to which ethnicity, cannabis and alcohol use could predict prevalence of violence and self-harm in an inpatient psychiatric sample.We collected demographic and clinical data in a series of 141 adult psychiatric inpatients in Hamilton, New Zealand. The Alcohol Use Disorders Identification Test (AUDIT) and Cannabis Use Disorders Identification Test, Revised (CUDIT-R) were used to measure substance use. Clinical assessment and file review were used to verify histories of self-harm and violence.It was found that 66% had a history of violence, 54% of self-harm, and 40% of both; only 20% had neither. Cannabis use was found to significantly predict lifetime history of violence ( p = 0.02); other independent variables (gender, age, ethnicity, alcohol use, psychiatric diagnosis) did not. Self-harm was strikingly predicted by female gender ( p < 0.001), as well as by measures both of cannabis ( p = 0.025) and alcohol use ( p = 0.036); age, ethnicity and diagnosis did not reach significance. Less than 10% of patients were engaged with drug or alcohol services.Cannabis use is a significant predictor of lifetime violence among the severely mentally ill, while both alcohol and cannabis use predict self-harm. Few affected patients receive specific treatment for substance use comorbidity.

Citation

ID: 56235
Ref Key: dharmawardene2017violenceaustralasian
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
56235
Unique Identifier:
10.1177/1039856216671650
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet