The area level association between suicide, deprivation, social fragmentation and population density in the Republic of Ireland: a national study

Regional Deprivation and Suicide

BACKGROUND

Regional deprivation due to regional economic and social differences can increase the risk of suicide. This study investigated whether regional structural deprivation in Germany is associated with a higher rate of suicide.

METHODS

Data from cause-of-death statistics for the years 2015-2021 were analyzed. A regression analysis for data with a negative binomial distribution was used to study the association between suicide mortality and the German Index of Multiple Deprivation (GIMD), which is based on data from 2015 and includes 401 districts and independent cities in Germany.

RESULTS

Among the districts and independent cities covered by the GIMD, the quintile with the highest deprivation had higher suicide rates than the quintile with the lowest deprivation (relative risk [RR]: 1.85; 95% confidence interval [1.72; 2.00]). A sensitivity analysis revealed similar associations when the analysis was restricted to men (RR = 1.99 [1.80; 2.18]) or women (RR = 1.69 [1.49; 1.92]). A stronger association, however, was found in a comparison of rural (RR = 2.29 [2.04; 2.57]) with urban areas (RR = 1.51 [1.36; 1.68]).

CONCLUSION

These findings document an association between regional deprivation and suicide. They highlight the need for a more targeted approach to suicide prevention in deprived regions. At the same time, more research is needed into the mechanisms and effects of regional deprivation on mortality due to suicide.

Impacts of social deprivation on mortality and protective effects of greenness exposure in Hong Kong, 1999-2018: A spatiotemporal perspective

Addressing health inequality is crucial for fostering healthy city development. However, there is a dearth of literature simultaneously investigating the effects of social deprivation and greenness exposure on mortality risks, as well as how greenness exposure may mitigate the adverse effect of social deprivation on mortality risks from a spatiotemporal perspective. Drawing on socioeconomic, remote sensing, and mortality record data, this study presents spatiotemporal patterns of social deprivation, population weighted greenness exposure, and all-cause and cause-specific mortality in Hong Kong. A Bayesian regression model was applied to investigate the impacts of social deprivation and greenness exposure on mortality and examine how socioeconomic inequalities in mortality may vary across areas with different greenness levels in Hong Kong from 1999 to 2018. We observed a decline in social deprivation (0.67-0.56), and an increase in greenness exposure (0.34-0.41) in Hong Kong during 1999-2018. Areas with high mortality gradually clustered in the Kowloon Peninsula and the northern regions of Hong Kong Island. Adverse impacts of social deprivation on all-cause mortality weakened in recent years (RR from 2009 to 2013: 1.103, 95%CI: 1.051-1.159, RR from 2014 to 2018: 1.041 95%CI: 0.950-1.139), while the protective impacts of greenness exposure consistently strengthened (RR from 1999 to 2003: 0.903, 95%CI: 0.827-0.984, RR from 2014 to 2018: 0.859, 95%CI: 0.763-0.965). Moreover, the adverse effects of social deprivation on mortality risks were found to be higher in areas with lower greenness exposure. These findings provide evidence of associations between social deprivation, greenness exposure, and mortality risks in Hong Kong over the past decades, and highlight the potential of greenness exposure to mitigate health inequalities. Our study provides valuable implications for policymakers to develop a healthy city.

Association between area deprivation index and concerns to COVID-19: A multi-level analysis of individual and area factors

Background

The coronavirus disease 2019 (COVID-19) pandemic has been one of the most serious global threats to public health recently. The present study examined whether area deprivation is associated with concerns related to COVID-19 using large nationwide data across South Korea.

Methods

We used nationwide 2020 Korea Community Health Survey and official government database. Of the 225,680 included participants, 123,324 (54.6%) were women, and the mean age was 54.9 [17.8] years old. We classified the Area deprivation index (ADI) into Quartile 1 (Least deprived); Quartile 2; Quartile 3; and Quartile 4 (Most deprived). Our primary outcome was the concerns related to COVID-19 (0-16 scores). Multilevel regression analysis was conducted.

Results

The mean score of concerns related to COVID-19 was 11.3 [3.2] in the total population. 13.5% of the variability in the scores of concerns related to COVID-19 was accounted for by district areas. Area with Q4 of ADI were associated with an increased score of concerns related to COVID-19 (Q1: reference; Q2: β = 0.218, SE = 0.119, FDR adj.p-value = 0.085; Q3: β = 0.235, SE = 0.133, FDR adj.p-value = 0.094; Q4: β = 0.252, SE = 0.109, FDR adj.p-value = 0.029). 19-49 groups in area with Q4 of ADI were associated with an increase in scores of concerns related to COVID-19 than other age groups in area with Q4 of ADI. Area with Q4 of ADI were associated with a score of concern of being criticized if getting infected compared to area with Q1 of ADI.

Conclusion

We found that the highest quartile ADI was associated with greater concerns related to COVID-19. By identifying vulnerable population to concerns related to COVID-19, health systems may consider preventive intervention to mitigate mental health issues.

Spatial, geographic, and demographic factors associated with adolescent and youth suicide: a systematic review study

Background

Suicide is a public health issue and a main cause of mortality among adolescents and the youth worldwide, particularly in developing countries.

Objectives

The present research is a systematic review aiming to investigate the spatial, geographical, and demographic factors related to suicide among adolescents and the youth.

Methods

In this systematic review, two researchers examined PsycINFO, Web of Science, Scopus, and PubMed databases on December 7th, 2022 with no time limits from the beginning of publication until 2022 to identify the primary studies on spatial and geographic analysis on adolescent and youth suicides. Once duplicate studies were identified and removed, the titles and abstracts of studies were examined and irrelevant studies were also removed. Finally, 22 studies were reviewed based on the inclusion criteria.

Results

Our findings show that suicide rates are generally higher among men, residents of rural and less densely populated regions, coastal and mountainous regions, natives, 15-29 age group, less privileged populations with social fragmentation, unemployed, divorced or lonely people, those who live in single parent families, people with mental health issues, and those with low levels of education.

Conclusions

Stronger evidence supports the effects of geographic and demographic variables on youth and adolescent suicide rates as compared with spatial variables. These findings suggest that policy makers take spatial and demographic factors into consideration when health systems allocate resources for suicide prevention, and that national policymakers integrate demographic and geographic variables into health service programs.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023430994.

The complexities of suicide: a multilevel survival analysis examining individual, familial and neighbourhood determinants of suicide risk using Danish register-based data

BACKGROUND

Suicide risk is complex and nuanced, and how place impacts suicide risk when considered alongside detailed individual risk factors remains uncertain. We aimed to examine suicide risk in Denmark with both individual and neighbourhood level risk factors.

METHODS

We used Danish register-based data to identify individuals born in Denmark from 1972, with full parental information and psychiatric diagnosis history. We fitted a two-level survival model to estimate individual and neighbourhood determinants on suicide risk.

RESULTS

We identified 1723 cases of suicide in Denmark during the follow-up period from 1982 to 2015. Suicide risk was explained mainly by individual determinants. Parental comorbidities, particularly maternal schizophrenia [incidence rate ratio (IRR): 2.29, 95% CI 1.56-3.16] and paternal death (2.29, 95% CI 1.31-3.72) partly explained suicide risk when adjusted for all other determinants. The general contextual effect of suicide risk across neighbourhoods showed a median incidence rate ratio (MRR) of 1.13 (1.01-1.28), which was further reduced with full adjustment. Suicide risk increased in neighbourhoods with a higher proportion of manual workers (IRR: 1.08; 1.03-1.14), and decreased with a higher population density (IRR: 0.89; 0.83-0.96).

CONCLUSION

Suicide risk varies mainly between individuals, with parental comorbidities having the largest effect on suicide risk. Suicide risk was less impacted by neighbourhood, though, albeit to a lesser extent than individual determinants, some characteristics were associated with suicide risk. Suicide prevention policies might consider targeting interventions towards individuals more vulnerable due to particular parental comorbidities, whilst taking into account that some neighbourhood characteristics might exacerbate this risk further.

The association between social fragmentation and deaths attributable to alcohol, drug use, and suicide: Longitudinal evidence from a population-based sample of Canadian adults

BACKGROUND

Social fragmentation has been theorized and empirically associated with suicide in prior research. However, less is known about whether social fragmentation is associated with deaths attributed to alcohol use or drug use. This research examined the association between social fragmentation and risk for deaths attributable to alcohol use, drug use, and suicide (collectively known as deaths of despair) among Canadian adults.

METHODS

A weighted sample representing 15,324,645 Canadians within 288 census divisions between 2006 and 2019 was used. Mortality data from the Canadian Vital Statistics Database (alcoholic liver disease, drug use, and suicide) was linked with census division socioeconomic data from the 2006 Canadian census using the Canadian Census Health and Environment Cohorts. Social fragmentation at the census division was created based on the Congdon Index. Cox-proportional hazard regression with survey weights and the sandwich estimator were used to account for clustering of individuals (level-1) nested within census divisions (level-2).

RESULTS

After adjusting for individual and census division confounders, social fragmentation was positively associated with all-cause mortality (HR = 1.04; 95% CI: 1.02, 1.07), suicide (HR = 1.09; 95%CI: 1.01, 1.18), drug overdose related mortality (HR = 1.13; 95%CI: 1.03, 1.24), and deaths of despair (HR = 1.10; 95% CI: 1.04, 1.16), and not significantly associated with alcohol related liver disease (HR = 1.06; 95% CI: 0.91, 1.23).

CONCLUSION

Social fragmentation is associated with an increased hazard of deaths of despair among Canadian adults. Efforts to improve social cohesion in areas that are highly socially fragmented need to be evaluated.

Objective and subjective neighbourhood characteristics and suicidality: a multilevel analysis

BACKGROUND

Characteristics of the neighbourhood environment, including population density, social fragmentation, and trust, have been linked to mental health outcomes. Using a longitudinal population-based cohort, we explored the relationship between objective and subjective neighbourhood characteristics and the odds of suicidal thoughts and attempts.

METHODS

We conducted a longitudinal study of 20764 participants living in Stockholm County who participated in the Stockholm Public Health Survey. We used multilevel modelling to examine if suicidal thoughts and attempts were associated with neighbourhood characteristics, independent of individual associations. We included objective and subjective measures to explore if there was a different relationship between these measures of the neighbourhood environment and suicidality.

RESULTS

Associations between neighbourhood factors and suicidality were predominantly explained by individual characteristics, with the exception of neighbourhood-level deprivation and average residential trust. Each unit increase of deprivation was linked to increased odds of suicidal thoughts [Odds ratio (OR) 1.04, 95% confidence interval (CI) 1.00-1.07] and attempts (OR 1.11, 95% CI 1.06-1.17). Decreasing residential trust was associated with increased odds of suicide attempts (OR 1.09, 95% CI 1.02-1.17). There was no evidence that neighbourhood-level fragmentation or average trust in public and political institutions had an independent effect on suicidality once individual and sociodemographic factors were accounted for.

CONCLUSIONS

This study showed that much of the neighbourhood-level variation in suicidal thoughts and attempts could be explained by compositional factors, including sociodemographic clustering within neighbourhoods. The independent effect of neighbourhood-level deprivation and average residential trust provide evidence that the neighbourhood context may exert an independent effect on suicidality beyond the impact of individual characteristics.

Area-level deprivation, neighbourhood factors and associations with mental health

The COVID-19 pandemic saw residential neighbourhoods become more of a focal point in people's lives, where people were greater confined to living, working, and undertaking leisure in their locality. This study investigates whether area-level deprivation and neighbourhood conditions influence mental health, accounting for demographic, socio-economic and health circumstances of individuals. Using nationally representative data from Ireland, regression modelling revealed that area-level deprivation did not in itself have a discernible impact on mental health status (as measured using the Mental Health Inventory-5 instrument and the Energy and Vitality Index), or likelihood of having suffered depression in the previous 12 months. However, positive perceptions of area safety, service provision, and area cleanliness were associated with better mental health, as was involvement in social groups. Broad ranging policies investing in neighbourhoods, could have benefits for mental health, which may be especially important for deprived communities.

The differential impacts of social deprivation and social fragmentation on suicides: A lesson from Hong Kong

INTRODUCTION

Little research has conducted to examine the association between social deprivation and social fragmentation, overall and method-specific suicide risk, and how these associations may change over time. This study investigated the association between social deprivation and social fragmentation with overall and method-specific suicide in Hong Kong from 1999 to 2018.

METHODS

Suicide death data of each small tertiary planning unit (STPU) was obtained from the Census and Statistics Department of Hong Kong. Socio-economic characteristics in STPU level were obtained from Census and Bi-census. Exploratory principal component analysis was used to construct the social deprivation (SDI) and social fragmentation indices (SFI) based on the socio-economic characteristics. Bayesian hierarchical modelling was conducted to explore the association between SDI and SFI with overall and method-specific suicide over time, controlling for population density and male-to-female ratio.

RESULTS

Higher risk of suicide was generally observed around Kowloon Peninsula and some parts in the Northern, Northwestern and Southwestern areas depending on methods. The effect of SDI and SFI on suicide risk varied by years and methods. In 2014-2018, for every 10% increase in SDI, the suicide risk for overall, jumping, hanging, and charcoal burning elevated by 22% (95%Crl = 10%-37%), 26% (95%Crl = 12%-41%), 31% (95%Crl = 14%-51%), and 21% (95%Crl = 4%-42%) respectively.

CONCLUSION

Spatial variations and effects of SDI and SFI on overall and method-specific suicide risks varied by different periods. SDI was observed to be a stronger factor in the recent years. Situations should be monitored, and interventions should be implemented and adjusted accordingly to the changes.

Neighborhood social context and suicide mortality: A multilevel register-based 5-year follow-up study of 2.7 million individuals

Previous studies have linked neighborhood social characteristics to suicide mortality. However, the effects of the operational definition of neighborhoods and the general importance of neighborhood context on suicide mortality have received little attention, with most studies using various administrative areas as neighborhood delineations. In this study, neighborhoods were delineated by micro-areas generated with an automated redistricting algorithm and divided by physical barriers, such as large roads. The geographic data were linked to register data on the Danish adult population in the age range of 20-59 years in December 2013 (N = 2,672,799 individuals nested into 7943 neighborhoods). This cohort was followed for five years to evaluate the association between suicide mortality and neighborhood socioeconomic deprivation, social fragmentation, and population density. We used the median hazard ratio (MHR) to quantify the general contextual effect (GCE) of neighborhoods on suicide mortality and hazard ratios to quantify the specific contextual effects (SCEs) using multilevel survival models stratified by age group. The results showed a larger GCE and larger SCEs of neighborhoods on suicide mortality for individuals aged 20-39 years compared with those aged 40-59 years. After controlling for individual characteristics, higher suicide mortality was observed for individuals living in the least densely populated neighborhoods and the most socially fragmented neighborhoods for both age groups. We found cross-level interactions between neighborhood population density and gender and ethnicity for those aged 40-59 years, as well as between neighborhood social fragmentation and ethnicity for those aged 20-39 years. The results indicate that beyond individual characteristics, the neighborhood social context may affect the risk of suicide, especially for people aged 20-39 years.

Factors influencing the successful connection of deliberate self-injury patients to community-based mental health centers

OBJECTIVE

The emergency department (ED) is a good place to start preventing actions for suicide attempters. As a preventive factor, early intervention, follow-up management, and connection with community-based mental health care are important. We aimed to determine which factors were important for a successful connection to community-based mental health care services.

METHODS

This study was conducted at two tertiary teaching hospitals from January 2018 to December 2020. There were 1016 deliberate self-harm patients who received the four weeks of follow-up intervention.

RESULTS

There were 166 patients in the connected group and 850 patients in the non-connected group. In the logistic regression analysis for the successful connection to community-based mental health care, married patients had an odds ratio (OR) 1.627 (95% CI 0.960-2.758), 1.314 OR (95% CI 0.619-2.790) of separated patients and 5.317 OR (CI 1.864-15.168) of widowed patients compared to single patients. And face-to-face follow-up management had 2.630 OR (95% CI 1.815-3.811) to the successful connection rate to community-based mental healthcare compared to the patients in non-face-to-face management.

CONCLUSION

When deliberately self-injured patients who visited the ED received short-term follow-up intervention after emergency treatment, face-to-face follow-up intervention had a higher connection rate to community-based mental healthcare centers than non-face-to-face follow-up intervention. In the future, for deliberate self-harm patients who visit the ED, the ED staff should manage deliberate self-harm through early detection and face-to-face follow-up intervention, and other methods that can compensate for face-to-face follow-up intervention.

A Systematic Review of the Effects of Urban Living on Suicidality and Self-Harm in the UK and Ireland

We conducted a systematic review to answer the following: (a) Is there any evidence to support increased prevalence of suicidality and self-harm (i.e. self-harm or suicidality) in urban versus rural environments? (b) What aspects of the urban environment pose risk for suicidality and self-harm? Thirty-five studies met our criteria. Our findings reflect a mixed picture, but with a tendency for urban living to be associated with an increased risk of suicidality and self-harm over rural living, particularly for those living in deprived areas. Further research should focus on the clustering and additive effects of risk and protective factors for suicidality and self-harm in urban environments.

Suicidal risks in rural versus urban populations in Sardinia

OBJECTIVE

Rural locations have been associated with suicidal risk; low population density may be a relevant factor. Accordingly, we investigated hypothesized associations between suicidal ideation and behavior with selected geographic and population-related measures and other factors.

METHODS

Consenting adult patients at a mood disorder center in Cagliari, Sardinia, were assessed for the presence of suicidal ideation and acts and their association with selected demographic and clinical factors as well as indicators of urbanicity and rurality, including distance from the region's main metropolitan area, population density, altitude, and population growth trends.

RESULTS

Of 5,668 subjects, 27% had an indication of lifetime suicidal behavior or ideation; 8.6% had at least one suicidal act. Low population density, higher altitude and their interaction, distance from the metropolitan center of the main city (Cagliari), and population decline were associated with greater risk of suicidal ideation or behavior. In addition, and as expected, alcohol or substance abuse, diagnosis of mood disorders, higher depression ratings at intake, being younger at illness-onset, family history of suicide or other psychiatric disorder, being female, unmarried, separated or divorced, currently smoking cigarettes, being unemployed, and having experienced sexual abuse all were more likely in subjects with suicidal ideation or behavior.

CONCLUSION

Suicidal ideation and behavior were associated with indicators of social isolation as well as with previously reported clinical and demographic risk factors.

Home as the first site for suicide prevention: a Hong Kong experience

INTRODUCTION

There has been little research into at-home suicide cases globally, and particularly in Asian regions. This study aimed to investigate the differences in characteristics between suicide cases in Hong Kong that occurred at home and elsewhere; identify at-home suicide hotspots in the community and compare the differences in area-level characteristics between suicide hotspots and other areas.

METHODS

Suicide cases (2013-2017) were identified from Hong Kong Coroner's Court reports. Area-level socioeconomic data were retrieved from the 2016 Hong Kong census. Wilcoxon signed-rank tests, χ² tests and multiple logistic regression models were applied to compare differences in characteristics between people committing suicide at home and elsewhere. Global hotspot tests (Moran's I and Getis-Ord General G) and local analysis (Getis-Ord Gi*) identified at-home suicide community hotspots. The Wilcoxon signed-rank test was used to compare differences in area-level characteristics between at-home suicide hotspots and non-hotspots.

RESULTS

About 60% of suicide cases in Hong Kong occurred at home. Being female, widowed and/or living alone were significant predictors of at-home suicide cases. A U-shaped association between age and at-home suicide was identified, with 32 years of age being the critical turning point. An at-home suicide hotspot was identified in the north-western region of Hong Kong, which had lower median household income, higher income inequality and higher percentages of households with single elderly people, and new arrivals, compared with other areas.

CONCLUSION

Suicide prevention should start at home by restricting access to suicide methods. Community-based suicide prevention interventions with improvement of social services should target vulnerable members in identified suicide hotspots.

A natural experiment reveals impacts of built environment on suicide rate: Developing an environmental theory of suicide

BACKGROUND

Suicide is a global challenge. Although it is clear that socioeconomic and demographic factors influence suicide rates, we know little about the impacts of the built environment on suicide rates.

METHODS

We investigated the relationship between characteristics of the built environment and suicide death rates over a 13-year period in 151 rent-only public housing communities in Hong Kong. The regulations of the public housing authority in Hong Kong constituted a natural experiment with minimal self-selection bias. We conducted hierarchical regression analyses and found that characteristics of the built environment were significantly associated with suicide rates after controlling for SES and demographic factors at the community level.

RESULTS

Three significant environmental factors were identified distance to the nearest urban center, distance to the nearest Mass Transit Railway station, and gross flat area per person.

CONCLUSION

These findings demonstrate a significant association between features of the built environment and suicide rates. They also suggest possible interventions that might reduce suicide through design, or redesign, of the built environment. Lastly, we propose an environmental theory of suicide based on the Interpersonal Theory of Suicide.

Are Rurality, Area Deprivation, Access to Outside Space, and Green Space Associated with Mental Health during the COVID-19 Pandemic? A Cross Sectional Study (CHARIS-E)

The study investigated if rurality, area deprivation, access to outside space (Study 1), and frequency of visiting and duration in green space (Study 2) are associated with mental health during the COVID-19 pandemic and examined if individual demographics (age, gender, COVID-19 shielding status) and illness beliefs have a direct association with mental health during the COVID-19 pandemic. A serial, weekly, nationally representative, cross-sectional, observational study of randomly selected adults was conducted in Scotland during June and July 2020. If available, validated instruments were used to measure psychological distress, individual demographics, illness beliefs, and the following characteristics: Rurality, area deprivation, access to residential outside space, frequency of visiting, and duration in green space. Simple linear regressions followed by examination of moderation effect were conducted. There were 2969 participants in Study 1, of which 1765 (59.6%) were female, 349 (11.9%) were in the shielding category, and the median age was 54 years. There were 502 participants in Study 2, of which 295 (58.60%) were female, 58 (11.6%) were in shielding category, and the median age was 53 years. Direct effects showed that psychological distress was worse if participants reported the following: Urban, in a deprived area, no access to or sharing residential outside space, fewer visits to green space (environment), younger, female, in the shielding category (demographics), worse illness (COVID-19) representations, and greater threat perception (illness beliefs). Moderation analyses showed that environmental factors amplified the direct effects of the individual factors on psychological distress. This study offers pointers for public health and for environmental planning, design, and management, including housing design and public open space provision and regulation.

Trends and ecological results in suicides among Italian youth aged 10-25 years: A nationwide register study

BACKGROUND

Documenting current trends and sources of variation in youth suicide rates is critical to inform prevention strategies. We aimed to document suicide mortality trends among Italian youth from 1981 to 2016 and to describe age-, gender- and urbanization-specific suicide rates.

METHODS

We used official mortality data for the period 1981-2016 for adolescents and young adults aged 10-25 years. We estimated standardized all-cause and suicide mortality rates per 100,000 individuals and used joinpoint regression analyses to determine annual mortality trends and significant changes in rate trends. Analyses were reported according to gender, age group (10-17 and 18-25 years), urbanization and suicide method.

RESULTS

From 1981 to 2016, 1,752 suicides were identified among youth aged 10-17 years (boy/girl ratio of 5.80 in 2016) and 9,897 suicides among youth aged 18-25 years (boy/girl ratio of 3.97 in 2016). Overall suicide rates remained stable for boys and showed a small decrease for girls. Suicide was most common in rural areas for boys and in metropolitan areas for girls. We observed a significant decrease in the use of firearms and poisoning; the most common suicide method was hanging for boys and falls for girls.

LIMITATIONS

We did not control for regional-level sociodemographic, economic and health care system characteristics.

CONCLUSIONS

Youth suicides were either stable (for boys) or slightly declining (for girls). We found differences according to urban versus rural areas, suggesting the need for a broader view of the phenomenon. Factors influencing these trends and gender differences in the geographical areas are important in delivering suicide prevention strategies.

Characteristics associated with later self-harm hospitalization and/or suicide: A follow-up study of the HUNT-2 cohort, Norway

BACKGROUND

To improve suicide and self-harm prevention in adults, better knowledge on preexisting characteristics and risk factors is of great importance.

METHODS

This is a population-based case-control study; baseline measures were collected in the second wave of the North-Trøndelag Health Study (HUNT-2, 1995-1997) in Norway, and outcomes were observed for up to 19 years. Average follow up time was 4.9 years for self-harm and 6.8 years for suicides. Out of 93,898 eligible adult inhabitants aged 20 and above, a total of 65,229 (70%) participated in the study. The data were linked to the National Mortality Registry and hospital patient records in the three hospitals covering the HUNT-2 catchment area.

RESULTS

Among the participants, 332 patients (68% women) were hospitalized because of self-harm (HSH), and 91 patients (32% women) were died by suicide (SU). A total of 10% of those who died by SU had previously been HSH. People in the HSH and SU groups were younger, reported more depression and anxiety symptoms, sleeping problems, higher use of alcohol and tobacco, poorer social network and more economic problems, compared to the rest of the HUNT-2 population. In addition, the HSH group reported more somatic health problems, higher use of health services, higher sick leave, and lower work participation than the SU group.

LIMITATIONS

Younger adults (20-40 years) were under-represented in HUNT-2. Younger adults (20-40 years) were constituted 31.7% in HUNT-2, 50% in HSH and 33% in SU. Further, we did not identify less severe self-harm, not requiring hospitalization. Life changes, adverse events, and other possible triggers to self-harming behavior were not recorded.

CONCLUSION

Psychological problems were long-term predictors of both HSH and SU. Somatic health problems and lower functional performance were more present in HSH-group compared to the SU-group.

Suicide trends and self-harm in Panama: results from the National Mortality Registry and hospital-based data

PURPOSE

We aimed to (1) to investigate mortality trends due to suicide in Panama at the national and regional levels from 2001 to 2016, (2) to describe the sociodemographic and clinical characteristics of admitted patients with non-fatal self-harm from 2009 to 2017 in a regional hospital, and (3) to examine the association between mental health diagnoses and intentional self-harm, lethality, self-harm repetition and all-cause mortality within this population.

METHODS

Using the national mortality registry, annual percentage changes (APC) with 95% confidence intervals (CI) were estimated to evaluate suicide trends over time. Self-harm cases were assessed by trained psychiatrists at a referral hospital through interviews. Logistic regression models were used to estimate the association between mental diagnosis with intent-to-die and lethality, expressed as odds ratios (OR) and 95% CI. Cox proportional hazards models were used to calculate hazard ratios (HR) with 95% CI for self-harm repetition and all-cause mortality.

RESULTS

The trend of suicide in women declined, with an APC of - 4.8, 95% CI - 7.8, - 1.7, while the trend began to decline from 2006 in men; APC - 6.9, 95% CI - 8.9, - 4.9. Self-harm repetition over 12 months was 1.8%. Having a mental health diagnosis was associated with intentional self-harm (OR 1.5; 95% CI 1.0-2.4) and self-harm repetition (HR 2.7, 95% CI 1.3-5.8). Medication overdose was the preferred method for self-harm, while intentional self-harm by hanging was the preferred method for suicide.

CONCLUSIONS

Strategies for prevention and early intervention after self-harm deserve attention. Our findings highlight the importance of data to inform action.

Exploring the geography of suicide threats and suicide attempts: An application of Risk Terrain Modeling

The purpose of this research is twofold: first, the spatial distribution of 911 emergency calls for service to the police for suicides in progress and threats of suicide in the City of Detroit, Michigan will be explored to determine whether these events exhibit different patterns of spatial clustering. Second, this research will explore the utility of Risk Terrain Modeling (RTM) to assist in our understanding of the locations of calls for service to the police related to suicide threats and suicides in progress. The results suggest that these events are different social phenomenon, both with respect to the spatial clustering of these events as well as qualitative differences in the environmental factors that may contribute to their occurrence.

Influence of Area-Level Characteristics on the Suicide Rate in Korean Adolescents

OBJECTIVE

We aimed to investigate the influence of area-level factors on adolescent suicide and to determine which variables differ according to age and sex.

METHODS

We selected variables that were available for collection through an online database from 2005 to 2015 in the Korean Statistical Information Service and the Korea Labor Institute. We used administrative districts of Korea in 2017 for geographical classification. We examined the relationships between regional suicide rates and area-level variables in male and female subjects aged 10-14 years and 15-19 years. In addition, we analyzed area-level variables in adolescents aged 15-19 years according to sex.

RESULTS

Our findings indicated that several area-level variables affected adolescent suicide rates, varying according to age and sex. Economic problems were shown to be more associated with suicide in male adolescents than in female adolescents. On the other hand, social fragmentation and health services were shown to be more associated with suicide in females.

CONCLUSION

Suicide in adolescents was attributable to area-level factors such as economic status, social fragmentation, and community health services. By identifying area-level variables affecting adolescent suicide rates, we will be able to contribute to implement mental health policies related to adolescent suicide.

Contextual Factors Associated With County-Level Suicide Rates in the United States, 1999 to 2016

IMPORTANCE

Understanding geographic and community-level factors associated with suicide can inform targeted suicide prevention efforts.

OBJECTIVES

To estimate suicide rates and trajectories, assess associated county-level contextual factors, and explore variation across the rural-urban continuum.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included all individuals aged 25 to 64 years who died by suicide from January 1, 1999, to December 31, 2016, in the United States. Spatial analysis was used to map excess risk of suicide, and longitudinal random-effects models using negative binomial regression tested associations of contextual variables with suicide rates as well as interactions among county-level contextual variables. Data analyses were conducted between January 2019 and July 2019.

EXPOSURE

County of residence.

MAIN OUTCOMES AND MEASURES

Three-year county suicide rates during an 18-year period stratified by rural-urban location.

RESULTS

Between 1999 and 2016, 453 577 individuals aged 25 to 64 years died by suicide in the United States. Decedents were primarily male (349 082 [77.0%]) with 101 312 (22.3%) aged 25 to 34 years, 120 157 (26.5%) aged 35 to 44 years, 136 377 (30.1%) aged 45 to 54 years, and 95 771 (21.1%) aged 55 to 64 years. Suicide rates were higher and increased more rapidly in rural than in large metropolitan counties. The highest deprivation quartile was associated with higher suicide rates compared with the lowest deprivation quartile, especially in rural areas, although this association declined during the period studied (rural, 1999-2001: incidence rate ratio [IRR], 1.438; 95% CI, 1.319-1.568; P < .001; large metropolitan, 1999-2001: 1.208; 95% CI, 1.149-1.270; P < .001; rural, 2014-2016: IRR, 1.121; 95% CI, 1.032-1.219; P = .01; large metropolitan, 2014-2016: IRR, 0.942; 95% CI, 0.887-1.001; P = .06). The presence of more gun shops was associated with an increase in county-level suicide rates in all county types except the most rural (rural: IRR, 1.001; 95% CI, 0.999-1.004; P = .40; micropolitan: IRR, 1.005; 95% CI, 1.002-1.007; P < .001; small metropolitan: IRR, 1.010; 95% CI, 1.006-1.014; P < .001; large metropolitan: IRR, 1.012; 95% CI, 1.006-1.018; P < .001). High social capital was associated with lower suicide rates than low social capital (IRR, 0.917; 95% CI, 0.891-0.943; P < .001). High social fragmentation, an increasing percentage of the population without health insurance, and an increasing percentage of veterans in a county were associated with higher suicide rates (high social fragmentation: IRR, 1.077; 95% CI, 1.050-1.103; P < .001; percentage of population without health insurance: IRR, 1.005; 95% CI, 1.004-1.006; P < .001; percentage of veterans: IRR, 1.025; 95% CI, 1.021-1.028; P < .001).

CONCLUSIONS AND RELEVANCE

This study found that suicide rates have increased across the nation and most rapidly in rural counties, which may be more sensitive to the impact of social deprivation than more metropolitan counties. Improving social connectedness, civic opportunities, and health insurance coverage as well as limiting access to lethal means have the potential to reduce suicide rates across the rural-urban continuum.

Geographical and Temporal Variation of Suicide in India, 2006-2015: An Investigation of Factors Associated with Suicide Risk Difference across States/Union Territories

BACKGROUND

In India, about 130,000 people died by suicide in the year 2015. It is important to understand the variation of suicide across different parts of India and the trend of suicide rates over the years. The objectives of this study were to determine whether suicide rates in India showed temporal variation in the last decade and to determine whether suicide rates in India showed geographical variation across different states and union territories (UTs).

METHODS

Data on suicide rates for the years 2006-2015 were collected from the official publication of the National Crime Records Bureau. This study looked for time trend in suicide rates over the years. Further, the variation in suicide rates across different states/UTs in India and the factors associated with the variation were also analyzed.

RESULTS

The average suicide rate in India for the years 2006-2015 was 10.9/100,000 population. Overall, there was no significant variation in the suicide rate over time in the years studied. The average suicide rate varied widely across the states and UTs, between 0.91 and 43.92 per 100,000 population. The analysis revealed a positive association between suicide rates and accident rates for the above years. In addition, for the year 2011, a positive association between suicide rate and per capita state domestic product was noted.

CONCLUSION

There was no variation in the suicide rate in India over time. However, there were significant regional differences. Reporting differences and economic factors could partially explain the differences.

Urban-rural inequalities in suicide mortality: a comparison of urbanicity indicators

Background

Urban–rural disparities in suicide mortality have received considerable attention. Varying conceptualizations of urbanity may contribute to the conflicting findings. This ecological study on Germany assessed how and to what extent urban–rural suicide associations are affected by 14 different urban–rural indicators.

Methods

Indicators were based on continuous or k-means classified population data, land-use data, planning typologies, or represented population-based accessibility indicators. Agreements between indicators were tested with correlation analyses. Spatial Bayesian Poisson regressions were estimated to examine urban–rural suicide associations while adjusting for risk and protective factors.

Results

Urban–rural differences in suicide rates per 100,000 persons were found irrespective of the indicator. Strong and significant correlation was observed between different urban–rural indicators. Although the effect sign consistently referred to a reduced risk in urban areas, statistical significance was not universally confirmed by all regressions. Goodness-of-fit statistics suggested that the population potential score performs best, and that population density is the second best indicator of urbanicity. Numerical indicators are favored over classified ones. Regional planning typologies are not supported.

Conclusions

The strength of suicide urban–rural associations varies with respect to the applied indicator of urbanicity. Future studies that put urban–rural inequalities central are recommended to apply either unclassified population potentials or population density indicators, but sensitivity analyses are advised.

Electronic supplementary material

The online version of this article (10.1186/s12942-017-0112-x) contains supplementary material, which is available to authorized users.