A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Relationship of suicide rates with climate and economic variables in Europe during 2000-2012
Tekijät: Konstantinos N. Fountoulakis, Isaia Chatzikosta, Konstantinos Pastiadis, Prodromos Zanis, Wolfram Kawohl, Ad J. F. M. Kerkhof, Alvydas Navickas, Cyril Höschl, Dusica Lecic-Tosevski, Eliot Sorel, Elmars Rancans, Eva Palova, Georg Juckel, Goran Isacsson, Helena Korosec Jagodic, Ileana Botezat-Antonescu, Janusz Rybakowski, Jean Michel Azorin, John Cookson, John Waddington, Peter Pregelj, Koen Demyttenaere, Luchezar G. Hranov, Lidija Injac Stevovic, Lucas Pezawas, Marc Adida, Maria Luisa Figuera, Miro Jakovljević, Monica Vichi, Giulio Perugi, Ole A. Andreassen, Olivera Vukovic, Paraskevi Mavrogiorgou, Peeter Varnik, Peter Dome, Petr Winkler, Raimo K. R. Salokangas, Tiina From, Vita Danileviciute, Xenia Gonda, Zoltan Rihmer, Jonas Forsman, Anne Grady, Thomas Hyphantis, Ingrid Dieset, Susan Soendergaard, Maurizio Pompili, Per Bech
Kustantaja: BioMed Central
Julkaisuvuosi: 2016
Journal: Annals of General Psychiatry
Tietokannassa oleva lehden nimi: Annals of general psychiatry
Lehden akronyymi: Ann Gen Psychiatry
Vuosikerta: 15
Sivujen määrä: 6
ISSN: 1744-859X
eISSN: 1744-859X
DOI: https://doi.org/10.1186/s12991-016-0106-2
Verkko-osoite: https://annals-general-psychiatry.biomedcentral.com/articles/10.1186/s12991-016-0106-2
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/29765115
The derived models explained 62.4 % of the variability of male suicidal rates. Economic variables alone explained 26.9 % and climate variables 37.6 %. For females, the respective figures were 41.7, 11.5 and 28.1 %. Male suicides correlated with high unemployment rate in the frame of high growth rate and high inflation and low GDP per capita, while female suicides correlated negatively with inflation. Both male and female suicides correlated with low temperature.
Data from 29 European countries covering the years 2000-2012 and concerning male and female standardized suicidal rates (according to WHO), economic variables (according World Bank) and climate variables were gathered. The statistical analysis included cluster and principal component analysis and categorical regression.
It is well known that suicidal rates vary considerably among European countries and the reasons for this are unknown, although several theories have been proposed. The effect of economic variables has been extensively studied but not that of climate.
The current study reports that the climatic effect (cold climate) is stronger than the economic one, but both are present. It seems that in Europe suicidality follows the climate/temperature cline which interestingly is not from south to north but from south to north-east. This raises concerns that climate change could lead to an increase in suicide rates. The current study is essentially the first successful attempt to explain the differences across countries in Europe; however, it is an observational analysis based on aggregate data and thus there is a lack of control for confounders.
RESULTS
METHODS
BACKGROUND
DISCUSSION
Ladattava julkaisu This is an electronic reprint of the original article. |  |
