Controlling noncommunicable diseases in transitional economies: mental illness in suicide attempters in Singapore - an exploratory analysis

Choo, Carol C., Chew, Peter K.H., and Ho, Roger C. (2019) Controlling noncommunicable diseases in transitional economies: mental illness in suicide attempters in Singapore - an exploratory analysis. BioMed Research International, 2019. 4652846.

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Abstract

Background:

Mental illness is a pertinent risk factor related to suicide. However, research indicates there might be underdiagnosis of mental illness in Asian suicide attempters; this phenomenon is concerning. This study explored prediction of diagnosis of mental illness in suicide attempters in Singapore using available variables.

Methods:

Three years of medical records related to suicide attempters (N = 462) who were admitted to the emergency department of a large teaching hospital in Singapore were subjected to analysis. Of the sample, 25% were diagnosed with mental illness; 70.6% were females and 29.4% were males; 62.6% were Chinese, 15.4% Malays, and 16.0% Indians. Their age ranged from 12 to 86 (M = 29.37, SD = 12.89). All available variables were subjected to regression analyses.

Findings:

The full model was significant in predicting cases with and without diagnosis of mental illness and accurately classified 79% of suicide attempters with diagnosis of mental illness.

Conclusions:

The findings were discussed in regard to clinical implications in diagnosis and primary prevention.

Item ID: 57101
Item Type: Article (Research - C1)
ISSN: 2314-6141
Copyright Information: Copyright © 2019 Carol C. Choo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Funders: James Cook University (JCU)
Projects and Grants: JCU IRG20180010
Date Deposited: 13 Feb 2019 07:48
FoR Codes: 52 PSYCHOLOGY > 5203 Clinical and health psychology > 520304 Health psychology @ 100%
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920299 Health and Support Services not elsewhere classified @ 100%
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