Literature DB >> 9716280

Secular trends in the rates and seasonality of violent and nonviolent suicide occurrences in Finland during 1980-95.

H Hakko1, P Räsänen, J Tiihonen.   

Abstract

BACKGROUND: Because secular trends in seasonality of different types of suicides has not been studied before, we utilized a novel statistical method to evaluate this phenomenon by using national Finnish suicide statistics during 1980-95.
METHODS: Rates were analyzed with ordinary linear regression analysis. Secular trends were evaluated using ratio-statistic and its 95% confidence intervals.
RESULTS: The rate of violent suicides increased before year 1990 and decreased since that. The nonviolent suicide rate increased continuously. The decreasing tendency of seasonality in nonviolent suicides and a slight decrease in violent suicides are seen within the three successive time periods studied.
CONCLUSIONS: Trends in rates and in seasonality of suicides might be related to changes in the health politics in Finland. LIMITATIONS: The short time-series and lack of studying associations of suicides with socioeconomic, environmental or biological factors are limitations of our study. CLINICAL RELEVANCE: Studying the time-dependent changes in rates and in seasonality of suicides provide a novel perspective for the evaluation of the aetiology of suicidal behaviour.

Mesh:

Year:  1998        PMID: 9716280     DOI: 10.1016/s0165-0327(98)00031-7

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  12 in total

1.  Risk of suicide related to income level in mental illness. Psychiatric disorders are more severe amount suicide victims of higher occupational level.

Authors:  M Timonen; K Viilo; H Hakko; E Väisänen; P Räsänen; T Särkioja
Journal:  BMJ       Date:  2001-07-28

2.  Burden of illness and suicide in elderly people. Physical disease and depression are prevalent in elderly Finnish suicide victims.

Authors:  Markku Timonen; Kaisa Viilo; Erkki Väisänen; Pirkko Räsänen; Helin Hakko; Terttu Särkioja
Journal:  BMJ       Date:  2002-08-24

3.  Diversity and change in suicide seasonality over 125 years.

Authors:  Vladeta Ajdacic-Gross; Matthias Bopp; Roberto Sansossio; Christoph Lauber; Michal Gostynski; Dominique Eich; Felix Gutzwiller; Wulf Rössler
Journal:  J Epidemiol Community Health       Date:  2005-11       Impact factor: 3.710

4.  Climate impact on suicide rates in Finland from 1971 to 2003.

Authors:  Reija Ruuhela; Laura Hiltunen; Ari Venäläinen; Pentti Pirinen; Timo Partonen
Journal:  Int J Biometeorol       Date:  2008-12-20       Impact factor: 3.787

5.  Does diurnal temperature range influence seasonal suicide mortality? Assessment of daily data of the Helsinki metropolitan area from 1973 to 2010.

Authors:  Jari Holopainen; Samuli Helama; Timo Partonen
Journal:  Int J Biometeorol       Date:  2013-06-18       Impact factor: 3.787

6.  Characteristics of young suicides by violent methods in rural China.

Authors:  Cun-Xian Jia; Jie Zhang
Journal:  J Forensic Sci       Date:  2011-02-03       Impact factor: 1.832

7.  Suicide seasonality: complex demodulation as a novel approach in epidemiologic analysis.

Authors:  Ingo W Nader; Jakob Pietschnig; Thomas Niederkrotenthaler; Nestor D Kapusta; Gernot Sonneck; Martin Voracek
Journal:  PLoS One       Date:  2011-02-24       Impact factor: 3.240

8.  Seasonality of suicide attempts: association with gender.

Authors:  Roland Mergl; Inga Havers; David Althaus; Zoltán Rihmer; Armin Schmidtke; Hartmut Lehfeld; Günter Niklewski; Ulrich Hegerl
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-11-15       Impact factor: 5.270

Review 9.  Seasonality of suicidal behavior.

Authors:  Jong-Min Woo; Olaoluwa Okusaga; Teodor T Postolache
Journal:  Int J Environ Res Public Health       Date:  2012-02-14       Impact factor: 3.390

10.  Seasonal differences in the day-of-the-week pattern of suicide in Queensland, Australia.

Authors:  Chi-kin Law; Diego De Leo
Journal:  Int J Environ Res Public Health       Date:  2013-07-08       Impact factor: 3.390

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