Covert suicide among elderly Japanese females: Questioning unintensional drownings

Ian R.H. Rockett and Gordon S. Smith

Social Science & Medicine, 1993, vol. 36, issue 11, 1467-1472

Abstract: A hypothesis is generated that despite high reported rates, suicide among elderly Japanese females is substantially underestimated due to misclassification of drowning suicides (ICD-9 E954) as unintensional drownings (ICD-9 E910). Data are adapted from 1979-1981 age-, sex- and cause-specific mortality tabulations for Japan, the United States, Australia, France, New Zealand, Norway, Sweden and the United Kingdom. Between ages 55 and 74 years, unintensional drowning rates for males and females in Japan begin to diverge sharply from those of comparison countries. By ages 75 and older, the rate for Japanese females is 13.5 per 100,000, which exceeds comparison rates by 7- to 15-fold. Although drowning suicide rates in this population are also high, its ratio of drowning suicides to unintensional drownings declines precipitously beyond ages 35-44. Excess drowning suicide underestimation among Japanese females is suggested by the absence of a similar change among the males and evidence of both a lack of drowning witnesses and sex differentials in life expectancy, living arrangements and suicide methods. A preliminary test of the drowning suicide hypothesis is proposed which incorporates psychological autopsies.

Keywords: suicide; drowning; injury; elderly (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0277-9536(93)90388-K
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:36:y:1993:i:11:p:1467-1472

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01

Access Statistics for this article

Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian

More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().