227
Views
13
CrossRef citations to date
0
Altmetric
ARTICLES

Lethal Locations: An Application of Opportunity Theory to Motel Suicide, a Research Note

&
Pages 757-767 | Received 20 Jul 2007, Accepted 07 Nov 2007, Published online: 29 Aug 2008
 

Abstract

Location of suicide is a neglected area in suicidology, but is important because location is related to the presence of motivated rescuers who can prevent suicides. The present study analyzes the predictors of suicide in a location that is apt to be free of motivated rescuers: the motel room. Data from the files of a medical examiner in a Midwestern city included 1457 suicides, of which 27 took place in motel rooms. Predictor variables include demographic characteristics and psychosocial stressors associated with the suicides. An exploratory multivariate logistic regression model found four independent predictors of motel suicide. Conditions elevating the odds of motel room suicide were divorce (odds ratio = 6.0), out of county residence (OR = 14.4), hanging as a suicide method (OR = 3.0), and substance abuse (OR = 2.6). The model explained 24% of the variance in location of suicide. Opportunity theory is utilized to explain why location influences the probability of a suicide.

We thank Dr. Carl Schmidt of the Wayne County Medical Examiner's Office for expediting the availability of the data used in the present study.

Notes

Notes. Variable reference categories are noted with (1.00). − 2 Log Likelihood = 209.775, p < .05. R2 (nagelkerke) = .236.

∗∗p < .01; ∗p < .05.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 246.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.