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Relationship of suicide rates with climate and economic variables in Europe during 2000–2012

Overview of attention for article published in Annals of General Psychiatry, August 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 566)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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4 news outlets
blogs
1 blog
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13 X users
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1 Google+ user

Citations

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50 Dimensions

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111 Mendeley
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Title
Relationship of suicide rates with climate and economic variables in Europe during 2000–2012
Published in
Annals of General Psychiatry, August 2016
DOI 10.1186/s12991-016-0106-2
Pubmed ID
Authors

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

Abstract

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. 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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 13%
Student > Master 14 13%
Student > Ph. D. Student 9 8%
Student > Postgraduate 8 7%
Student > Bachelor 8 7%
Other 24 22%
Unknown 34 31%
Readers by discipline Count As %
Medicine and Dentistry 26 23%
Psychology 11 10%
Social Sciences 9 8%
Neuroscience 4 4%
Nursing and Health Professions 3 3%
Other 17 15%
Unknown 41 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2023.
All research outputs
#901,500
of 25,880,422 outputs
Outputs from Annals of General Psychiatry
#27
of 566 outputs
Outputs of similar age
#17,311
of 380,386 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 9 outputs
Altmetric has tracked 25,880,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 566 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 380,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them