Estimation of the relationship between the persistent decrease of the suicide rate and the changes in sociodemographic composition in Hungary between 1990 and 2011

Right-wing authoritarianism, social dominance, system justification, and conservative political ideology as predictors of mental health stigma: The Hungarian case

BACKGROUND

Insights from mental health stigma research indicate the importance of societal and political views on mental health perceptions. Most studies originate from typical Western neo-liberal settings and focus on generic mental health issues. Our research explores these associations in Hungary, an understudied post-communist context with significant stigma levels, examining a broad range of stigmas related to both general and three specific mental illnesses: schizophrenia, depression, and alcohol use disorder (AUD).

AIMS

The study aims to connect a wide array of political dispositions to stigma associated with both general and specific mental illnesses, exploring both attitudes and behavioral intentions.

METHODS

We surveyed 492 participants (147 males, 342 females) on their political dispositions, including Right-Wing Authoritarianism (RWA), Social Dominance Orientation (SDO), general and economic system justification, and conservative political ideology, and their attitudes toward general and specific mental illnesses. Regression analyses identified key political dispositions influencing stigma.

RESULTS

RWA was significantly linked to most stigma outcomes, while conservative political ideology showed a selective impact. Other predictors had minimal influence on stigma outcomes.

CONCLUSION

Our findings suggest that perceptions of danger, threat, and unconventionality, as indicated by RWA, are crucial for mental health stigmatization in Hungary. Intervention programs should target these factors, particularly in similar contexts.

Forecasting suicide rates in India: An empirical exposition

INTRODUCTION

Suicide is a major social and health issue in India. Yearly statistics show a concerning increasing pattern of suicidal deaths in India which is higher in comparison to the global trend. There is limited evidence regarding historical analysis of suicide or any forecasting for suicide in India towards predicting the possible risks of death due to suicide.

METHODS

This paper examines the trend of suicide rate and characteristics of suicide victims in India, based on the longitudinal time series data over the last 50 years-collected from the National Crime Record Bureau Reports (1969 to 2018) of the Government of India. In our analysis, we have used the time series model to forecast the suicide rates in India for the next decade. ARIMA (4,1,0) model is found to be the best fit model for forecasting the data.

FINDINGS

There has been an observable and rising trend of suicide rates in India over the last five decades. The forecast indicates a continuance of rising suicide cases for an upcoming couple of years in India with a limited decline in the following years. The prediction model indicates a future relatively consistent pattern of suicide in India which does not seem to be a very encouraging trend. As we have not included the period staring the year 2020 onwards affected by Covid-19 and which has several disruptions in personal and family spaces, the projected suicide trend during the period of next two to three years (2020-22) may rise far high and then it may show a declining path. Along with this, there is a shift in means of suicide in the last couple of decades. Constituting the second-highest number of cases, Illness associated suicide was visibly a serious concern.

CONCLUSION

The present analysis finds that there is no visible substantial relief for suicide deaths during the coming years in India. On the other hand, more extensive exploration of sample cases may provide important information for suicide prevention. Availability of detailed and more inclusive data will be highly useful for analysis and suicide preventive policies. Investment in public health care and other welfare activities like education and employment generation will yield visible positive results in suicide control.