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

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 DISCUSSIO

Staging of Schizophrenia with the Use of PANSS: An International Multi-Center Study

Introduction: A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method.Methods: Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed.Results: Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients.Discussion: This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.<br /

Attempted suicide in Podgorica, Montenegro: higher rates in females and unemployed males

Abstract Background A change in suicide attempts is associated with comprehensive changes in mental and physical health and social environment. Attempted suicide and suicide are one of the biggest problems nowadays worldwide, not only in the field of mental health but also in the field of public health. The aim of the research was to determine the number of attempted suicides as well as the influence of clinical and demographic variables on the attempted suicide rate. Methods The data on the attempted suicide were analysed in the period 2012–2016 based on the data from the Emergency Ward of the Clinical Centre of Montenegro in Podgorica. The rate of attempted suicides as well as the unemployment rate was calculated. The statistical analysis included descriptive statistics of the raw data and relative numbers, Chi-squared test, Fisher’s test and Spearman coefficient. Results The average age of males who attempted suicide was 38.35 ± 14.11, min 15 and max 88 years of age, and the age of women was 38.97 ± 16.81, min 16 and max 93 years of age. Women attempted suicide more frequently (p < 0.05). Female/male ratio during the investigation period slightly declined (1.93 in 2012 vs. 1.29 in 2016). The attempted suicide rates ranged from 103 per 100,000 residents in 2016 to 142 per 100,000 residents in 2015. Crude attempt rate was the highest in women in 2012 (102.42 per 100,000 residents) and for men in 2014 and 2015 (84.48 vs. 83.06 per 100,000 residents). Poisoning with psychotropic drugs was the dominant manner of attempt (93.2%), while the largest number of attempts was in the late spring and summer (May, June and July). Attempted suicide rate in man was associated with higher unemployment rate. Conclusions Although women make the majority of attempted suicide cases, there has been a decline in the value of the rate for women and a rise for men. The attempted suicide rates in Podgorica belong to lower rates compared to the WHO European multicentre study on parasuicide. Poisoning with psychotropic drugs was the predominant manner, while the highest number of attempted suicides was in the late spring and summer (May, June and July). Unemployment influences men to attempt suicide much more frequently

Non-pharmacological treatments for schizophrenia in Southeast Europe: An expert survey

Background: Non-pharmacological treatment for schizophrenia includes educational, psychotherapeutic, social, and physical interventions. Despite growing importance of these interventions in the holistic treatment of individuals with schizophrenia, very little is known about their availability in South-East European countries (SEE). Objective: To explore mental health care experts’ opinions of the availability of non-pharmacological treatment for people with schizophrenia in SEE. Methods: An online survey containing 11 questions was completed by one mental health expert from each of the following SEE countries: Albania, Bosnia and Herzegovina (B&amp;H), Bulgaria, Croatia, Greece, Kosovo(dagger), Montenegro, Moldova, North Macedonia, Romania, Serbia, and Slovenia. Data were collected on estimated rates of received non-pharmacological interventions, type of services delivering these interventions, and expert views of availability barriers. Results: In eight countries, the estimated percentage of people with schizophrenia who receive non-pharmacological treatments was below 35%. The primary explanations for the low availability of non-pharmacological treatments were: lack of human and financial resources, lack of training for clinicians, and pharmacotherapy dominance in the treatment for schizophrenia. Conclusion: Lack of personal and institutional resources and state support were identified as primary obstacles to staff training and delivering non-pharmacological treatments to people with schizophrenia on individual and systemic levels, respectively. This evidence can be used to improve holistic, evidence-based treatment for schizophrenia in the SEE countries

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

BACKGROUND: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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

Relationship of suicide rates to economic variables in Europe: 2000-2011.

Background: It is unclear whether there is a direct link between economic crises and changes in suicide rates. Aims: The Lopez-Ibor Foundation launched an initiative to study the possible impact of the economic crisis on European suicide rates. Method: Data was gathered and analysed from 29 European countries and included the number of deaths by suicide in men and women, the unemployment rate, the gross domestic product (GDP) per capita, the annual economic growth rate and inflation. Results: There was a strong correlation between suicide rates and all economic indices except GPD per capita in men but only a correlation with unemployment in women. However, the increase in suicide rates occurred several months before the economic crisis emerged. Conclusions: Overall, this study confirms a general relationship between the economic environment and suicide rates; however, it does not support there being a clear causal relationship between the current economic crisis and an increase in the suicide rate

Staging of Schizophrenia With the Use of PANSS: An International Multi-Center Study

INTRODUCTION: A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method. METHODS: Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed. RESULTS: Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients. DISCUSSION: This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.status: publishe

Staging of Schizophrenia With the Use of PANSS : An International Multi-Center Study

Introduction A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method. Methods Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed. Results Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified &gt;85% of patients. Discussion This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.Funding Agencies|NHMRC Senior Principal Research FellowshipNational Health and Medical Research Council of Australia [APP1059660, APP1156072]</p