Female Suicide Rates Research Articles

Unravelling the threads: understanding the interplay of Cultural values, female workforce engagement, human development index and suicide rates.

Suicide is a major public health problem across the world. Extensive research on the field shows that suicide is affected by several sociological, economic, and cultural risk factors. Over the last century, social changes have driven the reshaping of traditional gender roles, often in an uneven fashion, strongly depending on context. This study proposes updated findings on the impact that changes in traditional gender roles could have on suicide rates METHODS: It will do so by examining the correlation between female labor force participation (FLPR) and sex-specific suicide rates. Moreover, it will examine this association depending on human development (HDI) and Hofstede's individualism index. To do so, data from 2010 to 2019 from 47 countries is collected from the WHO, ILOSTAT and UN agencies' websites. Analysis show a significant interaction between FLPR, HDI and individualism index scores on male suicide rates (p = 0.002). There is a negative association between FLPR and male suicide rates in relatively lower HDI countries, while in very high HDI countries an increase in FLPR is correlated with an increase in male suicide rates. Similar trends but no significant interaction is observed for female suicide rates. This study suggests that female participation is beneficial for male population as it reduces male suicide rates. However, this association appears to be context dependent. In countries where institutional adjustment is already established, and human development is very high, other factors might be of interest in examining the trends of suicide rates among men and women.

Descriptive Epidemiology of Female Suicides by Race and Ethnicity

Each year millions of females develop serious mental illnesses (SMI), which are major risk factors for suicides. Using the Web-Based Injury Statistics Query and Reporting System (WISQARS) for the years 2000, 2010 and 2020, we found in 2020 9,428 females (almost 190/week) committed suicide, losing 328,653 years off potential life before age 80 years. There were pronounced increases in female suicides from 2000 to 2020 across all racial and ethnic groups. The greatest number of suicides were in non-Hispanic white females, but the highest rate of suicides was in non-Hispanic American Indians /Alaska Natives, and in females 15–24 years of age. The West had the highest female suicide rates, with methods used to commit suicides varying by census regions and race and ethnicity. Suffocation to commit suicide increased for most racial and ethnic groups and poisonings decreased for most groups between 2000 and 2020, These underscore the need for targeted primary prevention of suicides for females based on age, geographic location and method of suicide, to mitigate female suicides improved access (e.g. geographically and financially) to mental health care services is essential.

Epidemic characteristics and trend analysis of major injuries deaths among children and adolescents in Jiangsu Province from 2012 to 2021

Objective: To understand the situation and epidemic characteristics of injury deaths among children aged 5 to 24 years in Jiangsu Province from 2012 to 2021 and the trend of annual changes. Methods: The main injury mortality data of children and adolescents was collected, and the crude and standardized mortality rates of road traffic accidents, drowning, suicide, and accidental falls among children and adolescents over a decade and the annual average percentage of change (AAPC) were calculated. The main injury mortality characteristics and trends of children and adolescents of different age groups and genders were analyzed. Results: The total number of injury deaths among 5 to 24 adolescents in Jiangsu Province was 16 052, with a standardized mortality rate of 9.58/100 000. There was no significant trend in the overall standardized mortality rate of injuries (AAPC=-3.450%, P=0.055). The standardized mortality rate of road traffic injuries among children and adolescents showed a decreasing trend over the past decade, with statistical significance (AAPC=-9.406%, P<0.001). The standardized suicide mortality rate showed an upward trend over the past decade, with statistical significance (AAPC=9.000%, P=0.001). The overall injury mortality rate showed an upward trend with age. Suicide rates in males and females were on the rise and both have statistical significance (AAPC=9.420% and AAPC=9.607%, both P<0.05). The standardized mortality rates of female traffic accidents, drowning, and male traffic accidents showed a decreasing trend and were statistically significant (AAPC for female traffic accidents=-7.364%, AAPC for female drowning=-5.352%, and AAPC for male traffic accidents=-10.242%, all P<0.05). The standardized mortality rate of urban and rural traffic accidents showed a decreasing trend and was statistically significant(AAPC=-7.899% and AAPC=-9.421%, both P<0.001). The standardized suicide mortality rate showed an upward trend and statistical significance (AAPC=11.009% and AAPC=7.528%, both P<0.05). Conclusions: The overall injury situation of children and adolescents in Jiangsu Province improved in the past decade from 2012 to 2021, but the suicide mortality rate was on the rise. It is necessary to focus on the mental health issues of this age group and to strengthen the prevention and control of suicide among children and adolescents, in Jiangsu.

Economic activity and suicides: Causal evidence from macroeconomic shocks in England and Wales

The relationship between economic activity and suicides has been the subject of much scrutiny, but the focus in the extant literature has been almost exclusively on estimating associations rather than causal effects. In this paper, using data from England and Wales between January 1, 1997 and December 31, 2017, we propose a plausible set of assumptions to estimate the causal impacts of well-known macroeconomic variables on the daily suicide rate. Our identification strategy relies on scheduled macroeconomic announcements and professional economic forecasts. An important advantage of using these variables to model suicide rates is that they can efficiently capture the elements of ‘surprise or shock’ via the observed difference between how the economy actually performed and how it was expected to perform. Provided that professional forecasts are unbiased and efficient, the estimated ‘surprises or shocks’ are ‘as good as random’, and therefore are exogenous. We employ time series regressions and present robust evidence that these exogenous macroeconomic shocks affect the suicide rate. Overall, our results are consistent with economic theory that shocks that reduce estimated permanent income, and therefore expected lifetime utility, can propel suicide rates. Specifically, at the population level, negative shocks to consumer confidence and house prices accelerate the suicide rate. However, there is evidence of behavioural heterogeneity between sexes, states of the economy, and levels of public trust in government. Negative shocks to the retail price index (RPI) raise the suicide rate for males. Negative shocks to the growth rate in gross domestic product (GDP) raise the population suicide rate when the economy is doing poorly. When public trust in government is low, increases in the unemployment rate increase the suicide rate for females.

Age and sex differences in the annual and seasonal variation of Australia’s suicide rate, 2000–2020

Suicide is a major public health concern both globally and in Australia. But in Australia the extent of substantive annual and seasonality trends since 2000 through the first two decades of the 21st Century, by age and sex, has not been formally reported. The current paper sought to identify annual and within-year (seasonality) trajectories in age-sex standardized suicide rates between 2000 and 2020. The annual and within-year (seasonality) trajectories of suicide were estimated from generalised regression analyses of Australia’s mortality database. No systematic variation in Australia’s suicide rate since 2000 was reported and was consistent between sex and age cohorts. Seasonal variation in rates were identified, with peaks in the new year (January), declines in late Summer/Autumn, stability in Winter, increases in Spring, but with a notable decline in early summer (November–December). These trends were driven men only. Interpretation of current suicide rates need to consider systematic long-term historical context. Despite a historical focus on youth suicide especially, working-aged and very old men have consistently reported higher standardized suicide rates over the first two decades of the 21st Century. Seasonal variation was reported but only reported by men, potentially because across the lifespan, suicide rates for females were a comparatively low incidence event. Particularly after recent successive national and international crises, we emphasise that surveillance and interpretation of current suicide rate requires careful consideration as to the extent any immediate variation may otherwise fall within otherwise normal historical norms.

Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach.

Firearm suicide has been more prevalent among males, but age-adjusted female firearm suicide rates increased by 20% from 2010 to 2020, outpacing the rate increase among males by about 8 percentage points, and female firearm suicide may have different contributing circumstances. In the United States, the National Violent Death Reporting System (NVDRS) is a comprehensive source of data on violent deaths and includes unstructured incident narrative reports from coroners or medical examiners and law enforcement. Conventional natural language processing approaches have been used to identify common circumstances preceding female firearm suicide deaths but failed to identify rarer circumstances due to insufficient training data. This study aimed to leverage a large language model approach to identify infrequent circumstances preceding female firearm suicide in the unstructured coroners or medical examiners and law enforcement narrative reports available in the NVDRS. We used the narrative reports of 1462 female firearm suicide decedents in the NVDRS from 2014 to 2018. The reports were written in English. We coded 9 infrequent circumstances preceding female firearm suicides. We experimented with predicting those circumstances by leveraging a large language model approach in a yes/no question-answer format. We measured the prediction accuracy with F1-score (ranging from 0 to 1). F1-score is the harmonic mean of precision (positive predictive value) and recall (true positive rate or sensitivity). Our large language model outperformed a conventional support vector machine-supervised machine learning approach by a wide margin. Compared to the support vector machine model, which had F1-scores less than 0.2 for most infrequent circumstances, our large language model approach achieved an F1-score of over 0.6 for 4 circumstances and 0.8 for 2 circumstances. The use of a large language model approach shows promise. Researchers interested in using natural language processing to identify infrequent circumstances in narrative report data may benefit from large language models.

Göçün Yerli İntiharlar Üzerindeki Etkisi: Türkiye’den Ampirik Bir Kanıt

This study aims to present empirical evidence on the effect of immigration on native suicides from Türkiye, which has welcomed a massive influx from Syria since 2011. This study focuses on the period between 2009 and 2016 using a quasi-experimental design, which accounts for the self-selection of immigrants to provinces in Türkiye and eliminates a possible bias. An IV-2SLS estimation is conducted to find the causal effect of the Syrian influx on native suicides. The findings show that while the Syrian influx to Türkiye has not increased overall and male suicides, it has increased the crude female suicide rates. The increase is 1.31 percentage points in crude suicide rates when there is a one-percentage-point increase in the provincial refugee share. The results are consistent with the literature, which show evidence that the Syrian influx worsened women’s labor market conditions and promoted male polygamy in Türkiye. This study fulfills a gap in the literature lacking the effect of immigration on suicide by presenting evidence from a case in which the host country received more than 3.5 million Syrian refugees in a period of less than ten years. The study calls for stronger policy measures for Türkiye against female unemployment and polygamy in refugee-intensive provinces of the country. More generally, the study shows that host countries’ immigration policies should account for all characteristics of the areas in their refugee settlement process.

Farmer Suicides Among States Reporting Violent Deaths, 2003 - 2017.

Research suggests that farmer suicide rates are at least two-fold higher than the general population. In estimating rates, prior research considered suicide events among farmers together with farmworkers, fishing, and forestry occupations and included non-farming populations in the defined at-risk populations (i.e., denominators). In this study, we sought to define and differentiate farmer suicide decedents from other agricultural occupations, estimate U.S. farmer suicide rates, and evaluate rate time trends. Farmer suicide decedents were ascertained from the 36 states in the National Violent Death Reporting System (NVDRS) from 2003-2017 using NVDRS occupation data. Farmers were defined as persons responsible for day-to-day farm decisions and operations. An expert panel was convened to classify farmer occupations. Rates were calculated using Census of Agriculture-identified farmers as the rate denominator, and time trends were evaluated using regression. Due to a low number of female decedents, female farmer suicide rates were not estimated. We identified1,575 male farmer suicide decedents and 77 female farmer decedents from the NVDRS during the study period. Aggregated age-specific male farmer suicide rates were highest among farmers ages 65 years and older (22.0/100,000). Estimated suicide rates for male farmers were highest during 2003 (31.8/100,000) and lowest during 2005 (19.2/100,000). Trend analysis revealed a statistically significant 2.4% annual percent change (APC) in rates over the 15-year study period. Suicide rates among male farmers showed evidence of an increase from 2003-2017. Farmer suicide rates parallel the rates of the U.S. population; thus, farmer suicide remains a public health concern.

The Association of Sex Ratio on Suicide Rates in United States Counties: An Exploration of Mechanisms

Researchers have long puzzled over suicidal behavior. In this paper, we posit that when people are unable to attract mates given unfavorable sex ratios, suicide rates increase. Sex ratio, the proportion of males in a population, is linked to a variety of behaviors, including marriage stability, violence, depression, and infidelity. We test whether suicide rates are associated with county-level sex ratios utilizing data from 1999 to 2018, controlling for a variety of factors known to be associated with suicide risk. We find that sex ratio is associated with suicide rates, where a greater proportion of males in a county (age 35–74) is associated with an increased rate of suicide for these males. Mediation analyses show that these effects are mediated by male marriage rates. Counter to predictions, male-biased sex ratios also tend to be associated with increased female suicide rates for women aged 35 to 74, and this effect is mediated by the unmarried sex ratio (i.e., when there are more unmarried men compared to unmarried women in a county, there is increased female suicide). Overall, these results suggest that male-biased sex ratios are associated with suicide rates for both men and women, but the mediators vary.

Suicide and the economy: a regional analysis of italy

ABSTRACT This note investigates the empirical pattern of suicides across Italy over the last 15 years. Typically, a country shares similar basic cultural and social macro-features. Yet in Italy there are marked variations across the regions such that it provides a useful setting to examine the economic factors that influence suicidality. The results align with some earlier work positing an N-shaped Kuznets curve linking income and the suicide rate. Female participation in the labour market emerges as a robust explanatory factor for male and female suicide rates.

Indigenous suicide rates in the United States, Australia and New Zealand between 2006 and 2019.

Indigenous suicide prevention is an important focus for national health policies. Indigenous suicide rates in formerly colonial English-speaking countries such as the United States, Australia and New Zealand are considerably higher than the general population, particularly in young males. Given the similarities in their sociocultural history, a time series analysis was conducted to assess recent sex and age trends of suicide in the Indigenous and general populations in the United States, Australia and New Zealand. Using the number of deaths by intentional self-harm and estimated resident population, suicide incidence rates were calculated for the years 2006-2019 and stratified by Indigenous status, year, time period, sex and age group (above 15 years). Incidence rates were plotted. Using the Poisson regression model, calculated suicide incidence rate ratios were used to make comparisons for sex and age. Across all countries studied, Indigenous suicide rates have increased over time, with Indigenous males having higher suicide rates than Indigenous females. However, the increase in Indigenous female suicides was greater than that for Indigenous males in Australia and New Zealand. Indigenous males aged 15-44 years have the highest suicide rates across all countries. Indigenous suicide rates have remained consistently high in the United States, Australia and New Zealand, with Indigenous males aged 15-44 years showing the highest rate. However, suicide rates for Indigenous females in Australia and New Zealand are increasing more rapidly than males. Given this, it is critical that further research is dedicated to understanding and addressing the issues driving this problem, particularly in youth.

Characterizing Female Firearm Suicide Circumstances: A Natural Language Processing and Machine Learning Approach

Since 2005, female firearm suicide rates increased by 34%, outpacing the rise in male firearm suicide rates over the same period. The objective of this study was to develop and evaluate a natural language processing pipeline to identify a select set of common and important circumstances preceding female firearm suicide from coroner/medical examiner and law enforcement narratives. Unstructured information from coroner/medical examiner and law enforcement narratives were manually coded for 1,462 randomly selected cases from the National Violent Death Reporting System. Decedents were included from 40 states and Puerto Rico from 2014 to 2018. Naive Bayes, Random Forest, Support Vector Machine, and Gradient Boosting classifier models were tuned using 5-fold cross-validation. Model performance was assessed using sensitivity, specificity, positive predictive value, F1, and other metrics. Analyses were conducted from February to November 2022. The natural language processing pipeline performed well in identifying recent interpersonal disputes, problems with intimate partners, acute/chronic pain, and intimate partners and immediate family at the scene. For example, the Support Vector Machine model had a mean of 98.1% specificity and 90.5% positive predictive value in classifying a recent interpersonal dispute before suicide. The Gradient Boosting model had a mean of 98.7% specificity and 93.2% positive predictive value in classifying a recent interpersonal dispute before suicide. This study developed a natural language processing pipeline to classify 5 female firearm suicide antecedents using narrative reports from the National Violent Death Reporting System, which may improve the examination of these circumstances. Practitioners and researchers should weigh the efficiency of natural language processing pipeline development against conventional text mining and manual review.

Suicide in Switzerland: why gun ownership can be deadly

There is a great deal of empirical evidence that owning a firearm increases the risk of dying from suicide. Most suicides are impulsive. Nearly 50% of survivors of suicide attempts report that they took less than 10 minutes between the decision to die and their suicide attempt. The great majority of these suicide survivors never make another attempt and die of natural causes. Because nearly 90% of firearm suicide attempts have a deadly outcome, gun owners are unlikely to have such a second chance. These impulsive suicide attempts are typically carried out with the means at hand. Swiss men have much higher firearm suicide rates than men in other European countries and this excess is likely to be due to their easy access to guns, because army conscripts have to keep their guns at home. When the number of conscripts was nearly halved in 2003/4 as a result of the Swiss Army Reform XXI, the number of army-issued firearms was reduced by an estimated 20%. An analysis of suicide rates before and after the reform indicated that male (but not female) suicide rates decreased by 8%, with no evidence of substitution with other means of suicide. If the army would require that the remaining half of conscripts had to keep their weapons at their barracks rather than at home, a further decrease in male suicide rates could be expected.

Socio-economic, health and environmental factors influencing suicide rates: A cross-country study in the Eastern Mediterranean region

BackgroundSuicide is a crucial concern for public health in the world. To date, there is no synthesized evidence about the cross-country impact of suicide risk factors in the Eastern Mediterranean (EMRO). This paper aims to cover the gap and assess socio-economic, health, and environmental (SHE) factors influencing suicide rates among the EMRO countries from 1990 to 2019. MethodsThis analysis is a cross-sectional time-series design which uses random-effect panel data from 17 EMRO countries. SHE variables are inflation rate, economic growth, unemployment rate, urbanization, and female labor force participation rate, mental disorders prevalence and individuals using the internet. ResultsThe models indicate that male suicide rates was positively associated with inflation rate (coefficient = 0.002, p < 0.05) unemployment rate (0.06, p < 0.01), mental disorders prevalence (0.0008, p < 0.01), and urbanization (0.08, p < 0.05). Conversely, individuals using the internet (−0.019, p < 0.01) was related to a reduction in male suicide rates. Variables correlated with an increase in female suicide rates included inflation rate (0.001, p < 0.05), mental disorders prevalence (coefficient = 0.0004, p < 0.01) and urbanization (0.03, p < 0.01). Individuals using the internet (−0.006, p < 0.01) and education index (−4.8, p < 0.01) had negative effect on female suicide rates. ConclusionsThis research confirms that SHE factors appear to affect suicide. So policymakers should endeavor to control them if the nations are aimed at preventing suicides. Future researches are essential to scrutinize paradoxes in the field.

Assessing Female Suicide From a Health Equity Viewpoint, U.S. 2004–2018

Geographic and urbanization differences in female suicide trends across the U.S. necessitates suicide prevention efforts on the basis of geographic variations. The purpose of this study was to assess female suicide rates by mechanism within Census divisions and by urbanicity to help inform geographically tailored approaches for suicide prevention strategies. Data from 2004 to 2018 were obtained from the National Vital Statistics System (analyzed in 2021). Annual counts of female suicides were tabulated for firearm, suffocation, and drug poisoning and stratified by the U.S. Census division and urbanicity. Age-adjusted rates were calculated to describe female suicide incidence by geographic areas and urbanicity. Data were analyzed annually and by 5-year timeframes. Trends in annual female suicide rates by mechanism for 3 urbanization levels were identified using Joinpoint Regression. Annual percent change estimates were calculated for age-adjusted female suicide rates between 2004 and 2018. Female suicide rates by mechanism were not homogeneous within Census divisions or by urbanization levels. Suicide rates by mechanism across Census divisions within the same urbanization level varied (range=3.38-11.15 [per 100,000 person per year]). From 2014 to 2018 in large metropolitan areas in the northern divisions, rates for suffocation were higher than for firearms and drug poisoning. During the same period, in all urbanization levels in southern divisions, rates for firearms were higher than for suffocation and drug poisoning. Female suicide mechanisms vary by urbanization level, and this variation differs by region. These results could inform female suicide prevention strategies on the basis of mechanism, urbanization, and geographic region.

A Scoping Review of Gender Differences in Suicide in India.

IntroductionMuch of the published literature on suicide comes from high income countries. In countries such as India, female suicide rates exceed the global suicide rate and suicide rates found in their male counterparts. Results from previous studies indicate that factors related to suicide among men and women in India are different from those seen in high-income countries. To date, no reviews have considered the relationship between gender and suicide in India. Therefore, the aim of this scoping review is to provide a comprehensive understanding of existing literature reporting gender differences in suicide rates, methods, risk factors and antecedent factors in India by reviewing published studies.MethodA scoping review was conducted to map the existing literature on gender differences in suicide in India. To identify peer-reviewed publications, online databases PsycINFO and Embase were searched. The search terms were [suicid* AND India*]. The searches took place in November 2020 and May 2021, with no language restrictions. Articles published from 2014 onwards from India were included. Reference lists of selected studies were searched for studies that could meet the inclusion criteria.ResultsThis review identified 17 studies that met the inclusion criteria. The ratio between women and men who die by suicide in India is much lower than in high-income countries. Hanging was found to be a more commonly used method of suicide among both men and women, in comparison to high-income countries where hanging is more common among men. This review also identified several gaps in the literature. There were few studies that examined suicide among transgender Indians. There was limited literature on gender differences in risk and protective factors for suicide. Limitations such as the omission of a lack of gender-based analyses in several studies and under-reporting of suicide rates were identified.ConclusionUnderstanding suicide within the context of individual countries is essential in designing culture-appropriate suicide prevention strategies. This review identified an urgent need to establish and evaluate suicide surveillance systems in India. Furthermore, additional research is warranted to understand suicide among individuals who identify outside the gender binary, and gender-specific risk and protective factors.

An analysis of age-standardized suicide rates in Muslim-majority countries in 2000-2019

BackgroundThis study examines the 20-year trend of suicide in 46 Muslim-majority countries throughout the world and compares their suicide rates and trends with the global average. Ecological-level associations between the proportion of the Muslim population, the age-standardized suicide rates, male-to-female suicide rate ratio, and the Human Development Index (HDI) in 2019 were examined.MethodsAge-standardized suicide rates were extracted from the WHO Global Health Estimates database for the period between 2000 and 2019. The rates in each country were compared with the age-standardized global average during the past 20 years. The countries were further grouped according to their regions/sub-regions to calculate the regional and sub-regional weighted age-standardized suicide rates involving Muslim-majority countries. Correlation analyses were conducted between the proportion of Muslims, age-standardized suicide rate, male: female suicide rate ratio, and the HDI in all countries. Joinpoint regression was used to analyze the age-standardized suicide rates in 2000-2019.ResultsThe 46 countries retained for analysis included an estimated 1.39 billion Muslims from a total worldwide Muslim population of 1.57 billion. Of these countries, eleven (23.9%) had an age-standardized suicide rate above the global average in 2019. In terms of regional/sub-regional suicide rates, Muslim-majority countries in the Sub-Saharan region recorded the highest weighted average age-standardized suicide rate of 10.02/100,000 population, and Southeastern Asia recorded the lowest rate (2.58/100,000 population). There were significant correlations between the Muslim population proportion and male-to-female rate ratios (r=-0.324, p=0.028), HDI index and age-standardized suicide rates (r=-0.506, p<0.001), and HDI index and male-to-female rate ratios (r=0.503, p<0.001) in 2019. Joinpoint analysis revealed that seven Muslim-majority countries (15.2%) recorded an increase in the average annual percentage change regarding age-standardized suicide rates during 2000-2019.ConclusionsMost Muslim-majority countries had lower age-standardized suicide rates than the global average, which might reflect religious belief and practice or due to Muslim laws in their judicial and social structure which may lead to underreporting. This finding needs further in-depth country and region-specific study with regard to its implication for public policy.

Rural-urban, age, and gender disparities and trends in suicide and homicide: Multistate evidence across 12 years.

Few studies have simultaneously assessed age and gender trends in homicide and suicide across the rural-urban continuum. Herein, we examine geographic and demographic trends in suicide and homicide death rates by: (1) determining overall macro and disaggregated trends; (2) examining differences in trends based on rural-urban county classification; and (3) identifying differences in stratified trends among age and gender classifications. A retrospective study design used suicide and homicide data (n = 199,456) from years 2005to 2017 across 16 US states. Suicide and homicide deaths were grouped by age, gender, and rural-urban classification for descriptive analyses, and trends were analyzed using Joinpoint trend analysis software. Violence resulted in 142,470 suicide and 56,986 homicide deaths between 2005 and 2017. Among both males and females, overall macro trends of suicide and homicide rates generally increased with greater rurality, and trends in rural rates differed from those in nonrural areas. Joinpoint trend analysis revealed significant increases in male suicide rates in large metropolitan (1.66%), micropolitan (1.78%), and rural areas (1.77%); female suicide rates in large metropolitan (2.17%), small metropolitan (3.25%), and micropolitan areas (3.26%); male homicide rates in large metropolitan areas (10.19%); and female homicide rates in rural areas (8.29%). Finally, when stratified by age, several significant trends were found, including increases in suicide rates among females aged 64 and older in rural areas (11.71%). Heterogeneous trends were found in suicide and homicide rates within specific rural-urban, age, and gender subgroups. Prevention efforts should proactively target those subgroups identified herein as most at-risk of violence.

Guides to Heavenly Mother

Guides to Heavenly Mother

The association of COVID-19 employment shocks with suicide and safety net use: An early-stage investigation.

This paper examines whether the COVID-19-induced employment shocks are associated with increases in suicides and safety net use in the second and third quarters of 2020. We exploit plausibly exogenous regional variation in the magnitude of the employment shocks in Japan and adopt a difference-in-differences research design to examine and control for possible confounders. Our preferred point estimates suggest that a one-percentage-point increase in the unemployment rate in the second quarter of 2020 is associated with, approximately, an additional 0.52 suicides, 28 unemployment benefit recipients, 88 recipients of a temporary loan program, and 10 recipients of public assistance per 100,000 population per month. A simple calculation based on these estimates suggests that if a region experienced a one-percentage-point increase in the unemployment rate caused by the COVID-19 crisis in the second quarter of 2020, which is roughly equivalent to the third-highest regional employment shock, this would be associated with 37.4%, 60.5%, and 26.5% increases in the total, female, and male suicide rates respectively in July 2020 compared with July 2019. These results are primarily correlational rather than causal due to the limitation of our data and research design, but our baseline findings are robust to several different model specifications.