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Methods of suicide have received considerable attention in suicide research. The common approach to differentiate methods of suicide is the classification into "violent" versus "non-violent" method. Interestingly, since the proposition of this dichotomous differentiation, no further efforts have been made to question the validity of such a classification of suicides. This study aimed to challenge the traditional separation into "violent" and "non-violent" suicides by generating a cluster analysis with a data-driven, machine learning approach. In a retrospective analysis, data on all officially confirmed suicides (N = 77,894) in Austria between 1970 and 2016 were assessed. Based on a defined distance metric between distributions of suicides over age group and month of the year, a standard hierarchical clustering method was performed with the five most frequent suicide methods. In cluster analysis, poisoning emerged as distinct from all other methods - both in the entire sample as well as in the male subsample. Violent suicides could be further divided into sub-clusters: hanging, shooting, and drowning on the one hand and jumping on the other hand. In the female sample, two different clusters were revealed - hanging and drowning on the one hand and jumping, poisoning, and shooting on the other. Our data-driven results in this large epidemiological study confirmed the traditional dichotomization of suicide methods into "violent" and "non-violent" methods, but on closer inspection "violent methods" can be further divided into sub-clusters and a different cluster pattern could be identified for women, requiring further research to support these refined suicide phenotypes., (Copyright © 2019. Published by Elsevier Masson SAS.)

Background: Previous research suggests significant increases in suicide mortality rates in European countries following the economic crisis of 2008. However, the relationship between national differences in availability and use of mental health services and suicide rates has not been extensively examined yet., Materials and Methods: Data on mental health services and socioeconomic variables were derived from Eurostat for the years 2000-2013 for ten European countries. The national health care variables consisted of suicide mortality rate (SMR), average length of hospital stay and number of hospitalizations due to affective disorder or any psychiatric disorder, number of psychiatric beds and number of prescribed antidepressants. Economic variables included the gross domestic product (GDP), the gross domestic product per 1000 inhabitants (Real GDP), the rate of unemployment and the GINI-coefficient as a measurement for the equality of wealth distribution. Mixed models were used to investigate the potential influence of the onset of the economic crisis in 2008 on each of the psychiatric variables. Multivariable regression analyses were used to assess the influence on suicide mortality rates., Results: In this study, a significant change in slope starting from 2008 was revealed for the number of psychiatric beds, hospitalizations due to affective disorder or any psychiatric disorder and for prescribed antidepressants. Furthermore, a significant step change for hospitalizations due to affective disorder was observed in 2008. SMR exhibited a significant step change in 2008 for males and females as well as a significant change in slope from 2008 onwards for males only. Contrary to our hypothesis, most variables showed no statistically significant influence on SMR. Only a higher number of available psychiatric beds was significantly associated with higher suicide mortality rates. This effect, however, was only significant for females and did not remain significant after correcting for economic variables. Less than 10% of suicide mortality rate variability could be explained by a model including all variables, further corroborating the multifactorial etiology of suicide., Limitations: Since administrative registry data was used, the results should be interpreted with caution. Results might not be applicable to countries not included., Conclusion: While significant changes in the psychiatric variables, as well as SMR, were observed, no statistically significant influence on SMR remained after correcting for country, time and economic variables. Our study suggests the necessity of a more comprehensive international data gathering effort. Further research is needed to identify populations at risk of suicide., (Copyright © 2018. Published by Elsevier B.V.)

Importance: It has been observed that suicidal behavior is influenced by sunshine and follows a seasonal pattern. However, seasons bring about changes in several other meteorological factors and a seasonal rhythm in social behavior may also contribute to fluctuations in suicide rates., Objective: To investigate the effects of sunshine on suicide incidence that are independent of seasonal variation., Design, Setting, and Participants: Retrospective analysis of data on all officially confirmed suicides in Austria between January 1, 1970, and May 6, 2010 (n = 69 462). Data on the average duration of sunshine per day (in hours) were calculated from 86 representative meteorological stations. Daily number of suicides and daily duration of sunshine were differentiated to remove variation in sunshine and variation in suicide incidence introduced by season. Thereafter, several models based on Pearson correlation coefficients were calculated., Main Outcomes and Measures: Correlation of daily number of suicides and daily duration of sunshine after mathematically removing the effects of season., Results: Sunshine hours and number of suicides on every day from January 1, 1970, to May 6, 2010, were highly correlated (r = 0.4870; P < 10-9). After differencing for the effects of season, a mathematical procedure that removes most of the variance from the data, a positive correlation between number of suicides and hours of daily sunshine remained for the day of suicide and up to 10 days prior to suicide (rmaximum = 0.0370; P < 10-5). There was a negative correlation between the number of suicides and daily hours of sunshine for the 14 to 60 days prior to the suicide event (rminimum = -0.0383; P < 10-5). These effects were found in the entire sample and in violent suicides., Conclusions and Relevance: Duration of daily sunshine was significantly correlated with suicide frequency independent of season, but effect sizes were low. Our data support the hypothesis that sunshine on the day of suicide and up to 10 days prior to suicide may facilitate suicide. More daily sunshine 14 to 60 days previously is associated with low rates of suicide. Our study also suggests that sunshine during this period may protect against suicide.