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A Study of the Impact of Thirteen Celebrity Suicides on Subsequent Suicide Rates in South Korea from 2005 to 2009

Overview of attention for article published in PLOS ONE, January 2013
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Title
A Study of the Impact of Thirteen Celebrity Suicides on Subsequent Suicide Rates in South Korea from 2005 to 2009
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053870
Pubmed ID
Authors

King-wa Fu, C. H. Chan

Abstract

A number of ecological studies have found a pattern of increasing suicide rates after suicides of several Asian entertainment celebrities. However, the finding may be subject to positive outcome bias where cases with no perceived impact may be routinely excluded. In this study, we deploy interrupted time-series analysis using ARIMA transfer function models to investigate systematically the impact of thirteen celebrity suicides on subsequent suicide rates in South Korea. We find that three out of eleven cases were found to be followed by a significant increase in suicide rate, while controlling for seasonality, secular trends, and unemployment rates. Such significant increases could last for nine weeks. Non-significance cases may be attributable to the small amount of media coverage, the "displacement" effect of preceding case, and the negative connotation of celebrity deaths. We therefore conclude that whether or not the impacts were detected may be largely conditioned by various contextual factors. Current evidence based on ecological studies is insufficient to draw a firm conclusion. Further studies using multiple approaches should be developed.

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Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Australia 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Ph. D. Student 8 11%
Student > Bachelor 8 11%
Researcher 7 10%
Student > Doctoral Student 6 8%
Other 15 21%
Unknown 16 22%
Readers by discipline Count As %
Social Sciences 18 25%
Medicine and Dentistry 16 22%
Psychology 8 11%
Computer Science 4 6%
Nursing and Health Professions 2 3%
Other 6 8%
Unknown 18 25%