Rurality and Risk of Suicide Attempts and Death by Suicide among People Living in Four English-speaking High-income Countries: A Systematic Review and Meta-analysis

Rural Suicide: Demographics, Causes, and Treatment Implications

Suicide rates in rural areas are higher than urban areas and growing, with current treatment developments only exacerbating this discrepancy. Within individual factors, both age and gender relate to and intersect with personal values related to self-reliance and attitudes toward mental health difficulties and treatment to increase suicide risk. The lethality ubiquitous in rural environments and occupations is a leading factor in rural suicide rates, with other factors such as race alternately noted to be a key factor but with more mixed findings. The cultural values of rural communities as typically negative toward mental health disclosure and treatment contribute to the disengagement of rural communities from treatment that may otherwise prevent suicides, exacerbating the physical lack of treatment access many rural communities experience. Working within the primary care system alongside increased telehealth utilization are suggested to reduce rural suicide rates.

[Suicide and medical practices: Assessing the way of life among Colombian coffee-growing rural men in mental health care]

The aim was to understand the way of life and self-care practices in mental health among adult male farmers living in a municipality in the Risaralda department, located in the coffee axis of Colombia, marked by a high incidence of suicides. An ethnographic study was conducted between March and December 2021, employing a combination of methods including interviews, participant observation, document review, and field diaries. Economic and social aspects undergoing transformations were identified, impacting gender roles, family dynamics, and caregiving possibilities for these men. By observing how men discuss their suffering and the resources available to address it, it can be concluded that mental health practices function more as self-care resources, while health services often provide symptom-based care, neglecting attentive listening. These findings are valuable for shaping services and life care strategies that align with the conditions of rural men in Colombia.

A Community-Engaged Approach to Understanding Suicide in a Small Rural County in Georgia: A Two-Phase Content Analysis of Individual and Focus Group Interviews

Suicide is a significant public health problem, with disproportionate rates in rural areas. Rural communities face substantial structural and cultural barriers to suicide prevention. This study aimed to gain a deeper understanding of the need for suicide prevention and gauge the appropriateness of prevention efforts in the context of a rural Georgia county by leveraging existing community resources and knowledge. Twenty one-on-one, semi-structured interviews and two focus groups were conducted, with participants recruited via purposive snowball sampling. Data analysis included qualitative deductive and inductive content analysis from individual interviews and focus groups with community stakeholders. The findings highlight how rural contexts exacerbate drivers of death by suicide and how the substantial loss of community members to suicide contributes to the ongoing crisis and reduces available support. Access to mental health care often depended on a connection to an established public system such as schools, a military base, or Veterans Administration. There were perceived gaps in crisis and post-crisis services, with participants actively trying to address these gaps and build community support through coalition building. This study contributes knowledge to contextual drivers of suicide in rural areas beyond individual-level risk factors. Community-engaged suicide prevention research in rural areas is promising, but there is a need to develop interventions to best support coalition building and capacity development.

Suicide among Cancer Patients: Current Knowledge and Directions for Observational Research

Cancer is a major public health concern associated with an increased risk of psychosocial distress and suicide. The reasons for this increased risk are still being characterized. The purpose of this study is to highlight existing observational studies on cancer-related suicides in the United States and identify gaps for future research. This work helps inform clinical and policy decision-making on suicide prevention interventions and ongoing research on the detection and quantification of suicide risk among cancer patients. We identified 73 peer-reviewed studies (2010-2022) that examined the intersection of cancer and suicide using searches of PubMed and Embase. Overall, the reviewed studies showed that cancer patients have an elevated risk of suicide when compared to the general population. In general, the risk was higher among White, male, and older cancer patients, as well as among patients living in rural areas and with lower socioeconomic status. Future studies should further investigate the psychosocial aspects of receiving a diagnosis of cancer on patients' mental health as well as the impact of new treatments and their availability on suicide risk and disparities among cancer patients to better inform policies.

Risk of suicide among stroke survivors in the United States

BACKGROUND

Stroke is the largest cause of disability and the 5th leading cause of death in the United States. Suicide is the 12th leading cause of death in the United States. However, little is known about the risk of suicide among people with a prior stroke.

OBJECTIVES

Using Multiple Cause of Death data (1999-2020) from the Centers for Disease Control and Prevention WONDER database, we examined via cross-sectional analysis the risk of suicide among survivors of stroke as compared to the general U.S. population and among subgroups within the United States.

METHODS

We assessed disparities in suicide rate among patients with stroke stratified by sex, race, urbanization levels, and census regions using the CDC WONDER multiple cause of death database. Standardized mortality rates were calculated to compare the suicide rate of stroke patients with the rates among demographic-matched cohorts and the general United States population.

RESULTS

As compared to the general population, stroke survivors had an elevated risk of suicide. Black stroke survivors had a lower rate of suicide as compared to the general population, while White stroke survivors and those in nonmetropolitan areas had an elevated risk compared to the general population.

CONCLUSION

There was a slightly elevated risk of suicide among people with a prior stroke in the United States. This risk may be elevated among White people and among people living in nonmetropolitan areas.

Prediction of Adverse Events Risk in Patients with Comorbid Post- Traumatic Stress Disorder and Alcohol Use Disorder Using Electronic Medical Records by Deep Learning Models

Background

Prediction of high-risk events in mental disorder patients is crucial. In our previous study, we developed a deep learning model: DeepBiomarker by using electronic medical records (EMR) to predict suicide related event (SRE) risk in post-traumatic stress disorder (PTSD) patients.

Methods

We applied DeepBiomarker2 through data integration of multimodal information: lab test, medication, co-morbidities, and social determinants of health. We analyzed EMRs of 5,565 patients from University of Pittsburgh Medical Center with a diagnosis of PTSD and alcohol use disorder (AUD) on risk of developing an adverse event (opioid use disorder, SREs, depression and death).

Results

DeepBiomarker2 predicted whether a PTSD + AUD patient will have a diagnosis of any adverse events (SREs, opioid use disorder, depression, death) within 3 months with area under the receiver operator curve (AUROC) of 0.94. We found piroxicam, vilazodone, dronabinol, tenofovir, suvorexant, empagliflozin, famciclovir, veramyst, amantadine, sulfasalazine, and lamivudine to have potential to reduce risk.

Conclusions

DeepBiomarker2 can predict multiple adverse event risk with high accuracy and identify potential risk and beneficial factors. Our results offer suggestions for personalized interventions in a variety of clinical and diverse populations.

Suicide Risk Among Patients With Heart Disease and Heart Failure

Heart disease is the leading cause of death in the United States (US). Suicide is the 12th leading cause of death. However, little is known about the risk of suicide in patients with heart disease and heart failure. Using Multiple Cause of Death data from the Centers for Disease Control and Prevention (CDC) Wide-ranging ONline Data for Epidemiologic Research (WONDER) database, we used a cross-sectional analysis to examine the risk of suicide in patients with heart disease and heart failure as compared with the general US population and in subgroups within the US. We assessed suicide rate in patients with heart disease and heart failure in the US population as a whole and stratified by race, time, urbanization levels, and census regions using the CDC WONDER Multiple Cause of Death database. Standardized mortality rates were calculated as observed deaths divided by expected deaths. As compared with the general population, patients with heart disease and heart failure had an elevated risk of suicide. This was true across racial and geographic subgroups. There was an elevated risk of suicide in patients with heart disease and heart failure in the United States. For heart disease, there were particular elevations in the Western US, and there was a particular elevation in Black Americans compared with the age-matched population.

Self-harm and rurality in Canada: an analysis of hospitalization data from 2015 to 2019

PURPOSE

The incidence of self-harm is an important indicator in suicide surveillance and a target outcome for suicide prevention. Self-harm rates vary by geographic location and rurality appears to be a risk factor. The objectives of this study were to estimate rates of self-harm hospitalization in Canada over a 5-year period by sex and age group, and examine relationships between self-harm and rurality.

METHODS

Hospitalizations related to self-harm were identified in a national dataset (the Discharge Abstract Database) for all patients aged 10 years or older who were discharged from hospital between 2015 and 2019. Self-harm hospitalization rates were calculated and stratified by year, sex, age group, and level of rurality, as measured using the Index of Remoteness. A Poisson regression was fit to estimate rate ratios for the levels of rurality.

RESULTS

Rates of self-harm hospitalization were higher for females than males across all levels of rurality and increased with each level for both sexes, except for among young males. The widest rural-to-urban disparities were observed for the 10-19 and 20-34-year old age groups. Females aged 10-19 in very remote areas had the highest self-harm hospitalization rate.

CONCLUSION

The rate of self-harm hospitalization in Canada varied by sex, age group, and level of rurality. Clinical and community-based interventions for self-harm, such as safety planning and increased access to mental health services, should be tailored to the differential risks across geographic contexts.

The relationship between rurality, travel time to care and death by suicide

BACKGROUND

We previously found an association between rurality and death by suicide, where those living in rural areas were more likely to die by suicide. One potential reason why this relationship exists might be travel time to care. This paper examines the relationship between travel time to both psychiatric and general hospitals and suicide, and then determine whether travel time to care mediates the relationship between rurality and suicide.

METHODS

This is a population-based nested case-control study. Data from 2007 to 2017 were obtained from administrative databases held at ICES, which capture all hospital and emergency department visits across Ontario. Suicides were captured using vital statistics. Travel time to care was calculated from the resident's home to the nearest hospital based on the postal codes of both locations. Rurality was measured using Metropolitan Influence Zones.

RESULTS

For every hour in travel time a male resides from a general hospital, their risk of death by suicide doubles (AOR = 2.08, 95% CI = 1.61-2.69). Longer travel times to psychiatric hospitals also increases risk of suicide among males (AOR = 1.03, 95%CI = 1.02-1.05). Travel time to general hospitals is a significant mediator of the relationship between rurality and suicide among males, accounting for 6.52% of the relationship between rurality and increased risk of suicide. However, we also found that there is effect modification, where the relationship between travel time and suicide is only significant among males living in urban areas.

CONCLUSIONS

Overall, these findings suggest that males who must travel longer to hospitals are at a greater risk of suicide compared to those who travel a shorter time. Furthermore, travel time to care is a mediator of the association between rurality and suicide among males.

Using "Big Data" to Provide Insights into Early Adopters of Continuing Professional Development: An Example from Project ECHO

INTRODUCTION

Mental health care is often managed in primary care with limited specialist support, particularly in rural and remote communities. Continuing professional development programs (CPD) can offer a potential solution to further mental health training; however, engaging primary care organizations (PCOs) can be challenging. The use of "big data" to identify factors influencing engagement in CPD programs has not been well studied. Therefore, the aim of this project was to use administrative health data from Ontario, Canada to identify characteristics of PCOs associated with early engagement in a virtual CPD program, Project Extension for Community Healthcare Outcomes (ECHO) Ontario Mental Health (ECHO ONMH) .

METHODS

Ontario health administrative data for fiscal year 2014 was used to compare the characteristics of ECHO ONMH-adopting PCOs, and their patients, to nonadopter organizations (N = 280 vs. N = 273 physicians).

RESULTS

ECHO-adopting PCOs did not differ with respect to physician age or years of practice, although PCOs with more female physicians were somewhat more likely to participate. ECHO ONMH adoption was more likely in regions with lower psychiatrist supply, among PCOs using partial salary payment models, and those with a greater interprofessional complement. Patients of ECHO-adopters did not differ on the basis of gender or health care utilization (physical or mental health); however, ECHO-adopting PCOs tended to have patients with less psychiatric comorbidity.

DISCUSSION

Models such as Project ECHO, which deliver CPD to primary care, are advanced to address lack of access to specialist health care. These findings support the use of administrative health data to assess the implementation, spread, and impact of CPD.

Is the association between sexual minority status and suicide-related behaviours modified by rurality? A discrete-time survival analysis using longitudinal health administrative data

BACKGROUND

While self-reported data shows that lesbian, gay, and bisexual (LBG) individuals have a greater suicide-related behaviours (SRB) risk, little is known about how rurality may amplify SRB risk associated with sexual minority status. Sexual minority individuals in rural areas may experience unique stressors due to stigma and a lack of LGB-specific social and mental health services. Using a population-representative sample linked to clinical SRB outcomes, we examined whether rurality modifies the association between sexual minority status and SRB risk.

METHODS

A nationally representative survey linked to administrative health data was used to construct a cohort of individuals (unweighted n = 169,091; weighted n = 8,778,115) in Ontario, Canada, and captured all SRB-related emergency department visits, hospitalizations, and deaths between 2007 and 2017. Sex-stratified discrete-time survival analyses were used to examine interactions between rurality and sexual minority status on SRB risk while controlling for potential confounders.

RESULTS

Sexual minority men had 2.18 times higher SRB odds compared to their heterosexual counterparts (95%CI 1.21-3.91), while sexual minority women had 2.07 times higher odds (95%CI 1.48-2.89) after adjusting for the confounders. The Rurality Index of Ontario and the Index of Remoteness were associated with the odds of SRB in a dose-response manner. No significant interactions were observed between rural and sexual minority status.

CONCLUSIONS

Our study provides evidence that rural and sexual minority status both independently contribute to an elevated likelihood of SRB; however, rurality did not appear to modify SRB risk by sexual orientation. Implementation and evaluation of interventions to reduce SRB in both rural and sexual minority populations are required.

Associations of stroke with all-cause and cause-specific mortality: A population-based matched cohort study

BACKGROUND

This study aimed to assess the specific associations between stroke and all-cause and cause-specific mortality among Korean adults.

METHODS

We used data extracted from the Korean National Health Insurance claims database from 2002 to 2013, including information on individuals with or without stroke aged 20 years and older. Patients with intracerebral hemorrhage, ischemic stroke or unspecified stroke were classified as stroke patients, while a reference population matched in terms of sex and age were also selected. The outcomes were all-cause mortality, natural causes of death (i.e. all natural causes, death by stroke and death by other diseases) and suicide. Survival analysis was performed using the Cox proportional hazards model.

RESULTS

Of the 73 150 eligible participants-including 14 630 stroke patients and 58 520 age- and sex-matched controls-11 121 (15.2%) died during the study period. Of them, 10 513 participants (94.5%) died of natural causes, including 1653 (14.5%) who died due to stroke and 8860 (79.7%) who died due to other diseases. Two hundred and fifty patients (2.2%) died by suicide. Stroke patients showed higher adjusted hazard ratios (HR) for all-cause (HR = 6.48, 95% CI, 3.87-10.86), all-natural-cause (HR = 2.68, 95% CI, 2.53-2.84), stroke (HR = 21.16, 95% CI, 17.49-25.61), other disease (HR = 1.69, 95% CI, 1.58-1.81) and suicide mortality (HR = 3.34, 95% CI, 2.24-4.98) than those without stroke. The effect size of stroke for suicide mortality was greater than that for other causes of mortality (except stroke mortality).

CONCLUSIONS

Stroke was associated with a higher risk of all-cause, natural cause and suicide mortality; stroke was more strongly associated with risk of suicide mortality than with any mortality for any other causes. From a policy standpoint, these results suggest the need for greater supportive care to prevent unnatural deaths among stroke patients.

A Systematic Scoping Review of Psychological Capital Related to Mental Health in Youth

Psychological capital (PsyCap) is a term coined in organizational psychology and refers to a person's development of states that motivate behavior. Also known in the literature as PsyCap, this construct typically refers to positive states of hope, self-efficacy, resilience, and optimism that are amenable to intervention and that are related to subjective well-being and life satisfaction. The aims of this systematic scoping review were to explore how PsyCap is described in youth mental health literature and how PsyCap and mental health are related. Results from four databases were reported following PRISMA guidelines. A total of 772 studies were identified and 16 studies were fully reviewed, including an overall sample of 6,772 youth from six countries. PsyCap has a positive relationship with mental health in youth. Future studies should involve school nurses to validate the constructs that characterize PsyCap and validate an instrument for measuring PsyCap in youth mental health in English.

The Association Between Family Physical Abuse and Suicide Attempts Among Gender Minority Adolescents: A Comparison Study

Purpose: This study examines the prevalence of reported family physical abuse and the concurrent association between abuse and suicide attempts by adolescent gender identity. Methods: This study used the Profiles of Student Life: Attitudes and Behaviors dataset (N = 121,150 adolescents aged 11-19 [mean = 14.74, standard deviation = 1.78]) collected from 61 participating school districts and programs across the United States by Search Institute from 2012 to 2015. Multigroup logistic regression was used to examine the association between family abuse and suicide attempts by gender identity. Correlates included race/ethnicity, age, parent education, rurality, binge drinking, and tobacco use. Results: Results indicated that cisgender adolescents (i.e., participants who did not select a transgender identity) reported significantly less family abuse compared to gender minority adolescents. Family physical abuse was associated with higher odds of suicide attempts among all adolescents. The association was stronger for female adolescents compared to male adolescents but not significantly different across gender minority adolescents, including those who identify as transgender female to male, transgender male to female, and transgender without identifying or being unsure of their gender identity. The association between family physical abuse and suicide attempts was stronger among heterosexual female adolescents compared to sexual minority female, heterosexual male, sexual minority male, heterosexual gender minority, or sexual and gender minority adolescents. Conclusions: Findings highlight the importance of identifying and treating family abuse to prevent suicide attempts, particularly among gender and sexual minority adolescents.

Identifying the suicidal ideation risk group among older adults in rural areas: Developing a predictive model using machine learning methods

AIMS

The aim of this study was to develop a predictive model that can identify the suicidal ideation risk group among older adults in rural areas using machine learning methods.

DESIGN

This study applied an exploratory, descriptive and cross-sectional design.

METHODS

The participants were older adults (N = 650) aged over 65 living in rural areas of South Korea. Self-report questionnaires were used to collect the demographics, suicidal ideation, depression, socioeconomic information and basic health information from September to October 2020. The collected data were analysed using machine learning methods with R statistical software 4.1.0.

RESULTS

The predictive models indicated that depression, pain, age and loneliness were significant factors of suicidal ideation. Good performance was observed based on the area under the receiver operating characteristic curve in the decision tree, random forest and logistic regression. Finally, the evaluation of model performance indicated moderate to high sensitivity and specificity.

CONCLUSION

The predictive models using machine learning methods may be useful to predict the risk of suicidal ideation. Furthermore, depression with pain, age and feelings of loneliness should be included in the initial screening to assess suicide risk among older adults in rural areas.

IMPACT

Identifying suicidal risk among older adults is challenging. Thus, employing predictive models that can assess depression, pain, age and loneliness can enable public healthcare providers to detect suicidal risk groups. Particularly, the presented models from this study can facilitate healthcare providers with initiating early interventions to prevent suicide among older adults in clinical and community nursing care settings.

REPORTING METHOD

The reporting of this study (Observational, cross-sectional study) conforms to the STROBE statement.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution. This study did not involve patients, service users, caregivers or members of the public.

IMPLICATION FOR THE PROFESSION AND/OR PATIENTS CARE

Applying this model may help to prevent geriatric suicide because the nursing staff will have a greater awareness regarding the suicide ideation risk of older adults, thereby reducing the possibility of their suicide.

Help-seeking behavior among adults who attempted or died by suicide in Ontario, Canada

INTRODUCTION

This study aims to determine the relationship between rurality and help-seeking behavior prior to a suicide or suicide attempt.

METHODS

Data from 2007 to 2017 were obtained from administrative databases held at ICES, which capture all hospital, emergency department (ED), and general practitioner (GP) visits across Ontario. Rurality was defined using the Rurality Index of Ontario scores. Help-seeking was based on accessing health services 1 year prior to the event.

RESULTS

Among those who died by suicide (N = 9848), those living in rural areas were less likely to seek help from a psychiatrist (rural males: AOR = 0.42, 95% CI = 0.31-0.57; rural females: AOR = 0.46, 95% CI = 0.29-0.97) compared with those living in urban areas. We found a similar association among those who attempted suicide (N = 82,480) (rural males: AOR = 0.49, 95% CI = 0.43-0.56; rural females: AOR = 0.51, 95% CI = 0.46-0.57). Rural males and females were more likely to seek care from an ED for mental health reasons compared with urban males and females.

CONCLUSIONS

Among people who died by suicide, those living in rural areas are generally less likely to access psychiatrists and GPs and more likely to access EDs, suggesting that people living in rural areas may have less access to care than their urban counterparts.

Spatial patterns and epidemiological characterization of suicides in the Chapecó micro-region, Santa Catarina, Brazil: an ecological study, 1996-2018

OBJECTIVE

to identify spatial clusters of suicide and its epidemiological characteristics in the Chapecó (SC) micro-region from 1996 to 2018.

METHODS

this was an exploratory ecological study, using data from the Mortality Information System; specific suicide rates and relative risks (RR) were calculated with a 95% confidence interval (95%CI); the scan statistic was used for spatial analysis.

RESULTS

there were 1,034 suicides (13.7/100,000 inhabitants), with a male/female ratio of 3.79; the ≥ 60 age group was at higher risk for both sexes; a high risk cluster was found in the southwest region (RR = 1.57) and a low risk cluster in the southeast region, including Chapecó itself (RR = 0.68); risk of suicide among widowed (RR = 3.05; 95%CI 1.99;4.67), separated (RR = 2.48; 95%CI 1.44;4.27), and married (RR = 1.97; 95%CI 1.54;2.51) people was higher than among single people. The main methods were hanging (81.2%) and firearms (9.7%).

CONCLUSION

there was a higher risk of suicide in the elderly, male and widowed people. Hanging was the most frequent method and risk clustering was found in the southwest.

Spreading a Strategy to Prevent Suicide After Psychiatric Hospitalization: Results of a Quality Improvement Spread Initiative

BACKGROUND

Suicide after psychiatric hospitalization is a major concern. Poor treatment engagement may contribute to risk. The World Health Organization Brief Intervention and Contact (BIC) Program is an evidence-based practice shown to prevent suicide after psychiatric discharge in international trials. There have been no efforts to implement BIC into routine practice in US populations.

METHODS

The authors conducted a 12-month quality improvement (QI) collaborative at six US Department of Veterans Affairs (VA) medical centers serving a large rural population. Sites had low to moderate performance on a VA quality measure of mental health postdischarge care; a measure assessing the proportion of discharged patients who achieve the required number of visits ≤ 30 days. Sites received programmatic support to implement BIC locally. Implementation was assessed using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework.

RESULTS

Overall, teams had high participation in programmatic activities and enrolled 85% of eligible patients that they approached. Among 70 enrolled patients, 81.4% achieved the VA quality measure of mental health postdischarge care, suggesting good treatment engagement. On average, patients rated BIC as excellent. Team members agreed that BIC was easy to use, implementable, possible, and doable. Factors facilitating implementation included standardized operating procedures to standardize processes. Barriers included insufficient staffing and loss to follow-up. Most sites plan to continue to enroll patients and to expand BIC to other areas.

CONCLUSION

A QI collaborative can facilitate implementation of BIC in six VA facilities that provide inpatient psychiatric treatment. BIC may appeal to patients and providers and may improve treatment engagement.

Rurality as a Risk Factor for Attempted Suicide and Death by Suicide in Ontario, Canada

OBJECTIVE

This study aims to examine rural and urban differences in attempted suicide and death by suicide in Ontario, Canada.

METHOD

This is a population-based nested case-control study. Data were obtained from administrative databases held at ICES, which capture all hospital and emergency department visits across Ontario between 2007 and 2017. All adults living in Ontario who attempted suicide or died by suicide are included in the study, and controls were matched by sex and age. Suicides were captured using vital statistics. Suicide attempts were determined using emergency department service codes.

RESULTS

Rurality is a risk factor for attempted suicide and death by suicide. Rural males are more likely to die by suicide compared with urban males (adjusted odds ratio(AOR) = 1.70, 95% confidence interval (CI), 1.49 to 1.95), and the odds of death by suicide increase with increasing levels of rurality. Rural males and females have an increased risk of attempted suicide compared with their urban counterparts (males: AOR = 1.37, 95% CI, 1.24 to 1.50) (females: AOR = 1.26, 95% CI,  1.14 to 1.39), with a pattern of increasing risk of suicide attempts with increasing rurality. Rural females are not at increased risk of suicide compared with urban females (AOR = 1.08, 95% CI, 0.80 to 1.45). Sensitivity analyses corroborated the results.

CONCLUSIONS

Rural males are almost two times more likely to die by suicide compared with urban males, and both rural males and females have an elevated risk of suicide attempts compared with urban residents. Future research should examine potential mediators of the relationship between rurality and suicide.

Increased rates of suicide ideation and attempts in rural dwellers following the SARS-CoV-2 pandemic

PURPOSE

Those factors identified to increase the risk of suicide in rural dwellers were exacerbated by the SARS-CoV-2 pandemic, specifically economic factors, substance use, access to health care, and access to lethal weapons. Because the effects of SARS-CoV-2 on suicide ideation and attempts in rural populations have not been fully characterized in published literature, this study compares: (1) the rates of suicide ideation and attempts between the 6 months affected by SARS-CoV-2 to same months of the preceding year (3/18/2020-9/18/20; 3/18/2019-9/18/19), (2) demographics (ie, age, sex, residence, race, and ethnicity), and (3) the locations in which the encounters were billed (inpatient, outpatient, and emergency department).

METHODS

Deidentified claims data associated with patient encounters billed for Suicide Ideation and Suicide Attempt were grouped based on time period and analyzed using descriptive statistics, incidence rate ratio (IRR), 2-sample t-test, chi-square test of association, or Fisher's exact test.

FINDINGS

Suicidal ideation encounters increased in the 6 months post-SARS-CoV-2 when compared to the 6 months of the prior year (IRR = 1.19; P < .001). Males (IRR = 1.27, P < .001), those residing rural areas (IRR = 1.22, P = .01), and Black, non-Hispanic (IRR = 1.24, P = .024) were found to have increased rates of suicide ideation post-SARS-Cov-2. In adults, White, non-Hispanics (IRR = 1.16; P < .001) had increased rates of post-SARS-CoV-2. In the pediatric subset, those who were aged 14-17 (IRR = 1.50; P < .001), resided in rural areas (IRR = 1.61, P = .009), and idenitifed as Hispanic (IRR = 1.89; P = .037) or Black, non-Hispanic (IRR = 1.61, P = .009) had increased rates post-SARS-CoV-2.

CONCLUSIONS

Our study identified rural dwellers to be at increased risk for suicide ideation.

Inequalities of Suicide Mortality across Urban and Rural Areas: A Literature Review

Suicide mortality is a major contributor to premature death, with geographic variation in suicide rates. Why suicide rates differ across urban and rural areas has not yet been fully established. We conducted a literature review describing the urban-rural disparities in suicide mortality. Articles were searched in five databases (EMBASE, PubMed, PsychINFO, Scopus, and Web of Science) from inception till 26 May 2021. Eligible studies were narratively analyzed in terms of the urban-rural disparities in suicides, different suicide methods, and suicide trends over time. In total, 24 articles were included in our review. Most studies were ecological and cross-sectional evidence tentatively suggests higher suicide rates in rural than in urban areas. Men were more at risk by rurality than women, but suicide is in general more prevalent among men. No obvious urban-rural pattern emerged regarding suicide means or urban-rural changes over time. Potential suicidogenic explanations include social isolation, easier access to lethal means, stigmatization toward people with mental health problems, and reduced supply of mental health services. For research progress, we urge, first, individual-level cohort and case-control studies in different sociocultural settings. Second, both rurality and urbanicity are multifaceted concepts that are inadequately captured by oversimplified typologies and require detailed assessments of the sociophysical residential environment.

Rural-Urban Differences in Suicide Mortality: An Observational Study in Newfoundland and Labrador, Canada: Différences de la Mortalité Par Suicide en Milieu Rural-Urbain: Une Étude Observationnelle à Terre-Neuve et Labrador, Canada

BACKGROUND

Suicide rates are higher in rural compared to urban areas. Although this pattern appears to be driven by higher rates among men, there is limited evidence about the characteristics of rural people who die by suicide in Canada. The objective of this study was to examine the demographics, manner of death, and social and clinical antecedents of people who died by suicide in rural areas compared to urban areas.

METHODS

We conducted an observational study of all suicide deaths that occurred among Newfoundland and Labrador residents between 1997 and 2016 using a linked data set derived from a comprehensive review of provincial medical examiner records. We used t tests and χ² to assess associations between rural/urban status and variables related to demographics, circumstances, and manner of death, as well as social and medical history. Logistic regression was utilized to assess the independent contribution of any variable found to be significant in univariate analysis.

RESULTS

Rural people who died by suicide accounted for 54.8% of all deaths over a 20-year period. Overall, 81.6% of people who died were male. Compared to urban, rural people who died by suicide were younger, more likely to use firearms or hanging, and had a higher mean blood alcohol content at the time of death (27.69 vs. 22.95 mmol/L). Rural people were also less likely to have had a known history of a prior suicide attempt, psychiatric disorder, alcohol or substance abuse, or chronic pain.

DISCUSSION

The demographic and clinical differences between rural and urban people who died by suicide underscore the need for suicide prevention approaches that account for place-based differences. A key challenge for suicide prevention in rural communities is to ensure that interventions are developed and implemented in a manner that fits local contexts.

Development of a Suicide Prediction Model for the Elderly Using Health Screening Data

Suicide poses a serious problem globally, especially among the elderly population. To tackle the issue, this study aimed to develop a model for predicting suicide by using machine learning based on the elderly population. To obtain a large sample, the study used the big data health screening cohort provided by the National Health Insurance Sharing Service. By applying a machine learning technique, a predictive model that comprehensively utilized various factors was developed to select the elderly aged > 65 years at risk of suicide. A total of 48,047 subjects were included in the analysis. Individuals who died by suicide were older, and the number of men was significantly greater. The suicide group had a more prominent history of depression, with the use of medicaments significantly higher. Specifically, the prescription of benzodiazepines alone was associated with a high suicide risk. Furthermore, body mass index, waist circumference, total cholesterol, and low-density lipoprotein level were lower in the suicide group. We developed a model for predicting suicide by using machine learning based on the elderly population. This suicide prediction model can satisfy the performance to some extent by employing only the medical service usage behavior without subjective reports.

Differences in depressive symptoms by rurality in Japan: a cross-sectional multilevel study using different aggregation units of municipalities and neighborhoods (JAGES)

Background

Rurality can reflect many aspects of the community, including community characteristics that may be associated with mental health. In this study, we focused on geographical units to address multiple layers of a rural environment. By evaluating rurality at both the municipality and neighborhood (i.e., a smaller unit within a municipality) levels in Japan, we aimed to elucidate the relationship between depression and rurality. To explore the mechanisms linking rurality and depression, we examined how the association between rurality and depression can be explained by community social capital according to geographical units.

Methods

We used cross-sectional data from the 2016 wave of the Japan Gerontological Evaluation Study involving 144,822 respondents aged 65 years or older residing in 937 neighborhoods across 39 municipalities. The population density quintile for municipality-level rurality and the quintile for the time required to reach densely inhabited districts for neighborhood-level rurality were used. We calculated the prevalence ratios of depressive symptoms by gender using a three-level (individual, neighborhood, and municipality) Poisson regression. Community social capital was assessed using three components: civic participation, social cohesion, and reciprocity.

Results

The prevalence of depressive symptoms was higher in municipalities with lower population density than those with the highest population density; the ratios were 1.22 (95% confidence intervals: 1.15, 1.30) for men and 1.22 (1.13, 1.31) for women. In contrast, when evaluating rurality at the neighborhood level, the prevalence of depressive symptoms was 0.9 times lower for men in rural areas; no such association was observed for women. In rural municipalities, community civic participation was associated with an increased risk of depressive symptoms. In rural neighborhoods, community social cohesion and reciprocity were linked to a lower risk of depressive symptoms.

Conclusions

The association between rurality and depression varied according to geographical unit. In rural municipalities, the risk of depression may be higher for both men and women, and the presence of an environment conducive to civic participation may contribute to a higher risk of depression, as observed in this study. The risk of depression in men may be lower in rural neighborhoods in Japan, which may be related to high social cohesion and reciprocity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12942-021-00296-8.

Suicide Distribution and Trends Among Male Older Adults in the U.S., 1999-2018

INTRODUCTION

This study examines the distribution and trends in suicide death rates among male adults aged ≥65 years in the U.S. from 1999 to 2018.

METHODS

Suicide mortality data were derived from Multiple Cause of Death from the Center for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research database. Suicides were identified from the underlying causes of death. Joinpoint regression examined the distribution and shift in suicide age-adjusted death rates overall and by age groups, race/ethnicity, method of suicide, and urbanicity. Analyses were conducted in 2020.

RESULTS

Between 1999 and 2018, a total of 106,861 male adults aged ≥65 years died of suicide (age-adjusted rate=31.4 per 100,000 population, 95% CI=31.2, 31.6). Suicide rates showed a V-shaped trend. They were declining annually by 1.8% (95% CI= -2.4, -1.2); however, starting in 2007, there was a shift upward, increasing significantly by 1.7% per year for the next decade (95% CI=1.0, 1.6). Suicide rates were highest among those aged ≥85 years (48.8 per 100,000 population with an upward shift in 2008), Whites (35.3 per 100,000 population with an upward shift in trend in 2007), and the most rural communities (39.0 per 100,000 population). Most suicides were due to firearms (78.3% at a rate of 24.7 per 100,000 population), especially in rural areas, and shifted upward after 2007.

CONCLUSIONS

Increases in suicide rates among male older adults in the U.S., particularly after the 2007-2008 economic recession, are concerning. Tailored suicide prevention intervention strategies are needed to address suicide-related risk factors.

Method-Specific Suicide Mortality Trends in Australian Men from 1978 to 2017

In 2017 Australia saw the highest overall suicide rate in the past 10 years, with male suicide rates three times higher than in women. Since the mid-1980s there have been major changes in suicide epidemiology in Australia with large shifts in method of suicide among both men and women. This study examined method-specific suicide trends in Australian men over the past 40 years by state. Suicide mortality data for the period 1978 to 2017 was obtained from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and log-linear Poisson regression analysis was used to analyse suicide mortality. This study found large differences between states in patterns and trends in suicide mortality from 1978 to 2017. Hanging, gas and firearms were the most common methods of suicide in Australia. We found statistically significant increasing trends in hanging suicide among men in all six states. The study findings highlight the growing concern of hanging-related suicide in all states in Australia since the late 1970s. New suicide prevention strategies focusing on the ubiquity and ease of hanging as a method will be needed in order for Australia to reduce suicide mortality in future.

Neighborhood farm density, types of agriculture, and depressive symptoms among older farmers: a cross-sectional study

BACKGROUND

Farmers may have an increased risk for poor mental health. In connection with this, factors specific to the neighborhood environment such as farm density and the type of agriculture, might be important for mental wellbeing. In this study we aimed to clarify the cross-level interaction on depressive symptoms between farm density at the neighborhood level by type of agriculture and the longest occupation of individuals (farmer or non-farmer).

METHODS

Data came from the 2016 wave of the Japan Gerontological Evaluation Study (JAGES) that were linked to governmental agricultural data. Information was analyzed from 147,549 respondents aged 65 years or older, residing in 1024 neighborhoods in 39 municipalities. We calculated farm (crop or animal husbandry) density at the neighborhood level, dividing the number of agricultural management entities by the population. Three-level (individual, neighborhood, and municipality) Poisson regression analysis was used to calculate the prevalence rate ratios of depressive symptoms.

RESULTS

The prevalence of depressive symptoms was higher among individuals whose longest occupation was farmer compared to non-farmer. The estimated probability of depressive symptoms by a cross-level interaction analysis showed that among farmers of both genders, those who were residing in neighborhoods where the farm density was low had a higher prevalence of depressive symptoms, regardless of the type of agriculture. The slope of the relationship between depressive symptoms and animal husbandry farm density varied by occupation, with a higher prevalence of depressive symptoms observed in male farmers compared to male non-farmers.

CONCLUSIONS

The high prevalence of depressive symptoms among farmers in neighborhoods with a low farm density may reflect a scarcity of formal and informal social support in such communities. The health effects of the neighborhood environment on farmers, such as farm density, which may vary by the type of agriculture, should be further researched.

Factors Related to the Level of Depression and Suicidal Behavior Among Men With Diagnosed Depression, Physically Ill Men, and Healthy Men

Depression is the most common psychiatric disorder in people who die by suicide. Awareness of risk factors for suicide in depression is important for clinicians. The study was aimed at establishing models of factors related to the level of depression and suicidal behavior among men from three different groups-in men with depressive disorder, in comparison to men with physical disorder and healthy men. A total of 598 men were included in the study. The following questionnaires were used in research model: test with sociodemographic variables, AUDIT Test, Fagerström Test, Generalized Self-Efficacy Scale (GSES), Inventory for Measuring Coping with Stress (Mini-COPE), Resilience Evaluation Questionnaire (KOP-26), Suicide Behaviors Questionnaire-Revised (SBQ-R) by Osman, and Gotland Male Depression Scale. In men with depression, the positive factors strongly related to the intensity of depression and suicidal behavior were as follows: vocational education, active coping, turning toward religion, social competence for resilience, and bachelor status. The factors negatively related to the intensity of depression and suicidal behavior in this group were as follows: unemployed status, student status, low satisfaction with the financial situation, having children, history of mental disorders in family, alcohol addiction, and seeking instrumental support. In the group of men with physical disorders, the following protection factors were identified: the medium or small city as a place of living, active coping, venting, and personal competence. The following risk factors were identified in this group: psychiatric treatment in the past. In the group of healthy men, the following protective factors were identified: the medium city as a place of living, positive reappraisal, planning abilities, and personal and social competence for resilience. In this group, the following risk factors were identified: vocational and higher education, student status, satisfaction with the financial situation, having more than one children, the occurrence of mental disorders in the family, the occurrence of alcohol abuse in the family, and use of psychoactive substances as a strategy of dealing with stress. The risk factors identified in this study should be included in the clinical assessment of depression and suicidal behavior risk in male patients. There are some protective factors identified, including productive coping and personal and social competencies, which can be developed and should be especially considered and strengthened in mental health promotion programs aimed at men.

Does population density moderate suicide risk? An Italian population study over the last 30 years

Background.

The relationship between population density and suicide risk remains unclear. While urbanization is associated with greater risk for psychopathology, higher suicide rates have been reported in rural areas. We examined population density and suicide in the Italian population in the last 30 years.

Methods.

The Italian National Institute of Statistics databases of the Italian population aged 15 years and older (52.4 million in 2016) were used to compute age-adjusted annual total mortality and suicide rates for the years 1985–2016. According to the European Union statistical office (EUROSTAT) criteria, municipalities were classified into densely populated areas, intermediate density areas, or thinly populated areas. Rate ratios (RRs) were computed by sex, age, and geographical area, using densely populated areas as reference.

Results.

Total mortality was not associated with population density. In males, suicide rate increased with decreasing population density (RR = 1.17, 95% confidence interval [CI]:1.08–1.28, in intermediate population areas, and RR = 1.32, 95% CI: 1.20–1.45, in thinly populated areas, in 2016). This inverse relationship was found across age, geographical areas, and consecutively over 22 years (1994–2016). In females, no significant difference was detected (RR = 0.96, 95% CI: 0.82–1.13 in intermediate density areas and RR = 1.02, 95% CI: 0.85–1.22 in thinly populated areas). Hanging was the most common suicide method among males, more frequent in thinly (58.8%) than intermediate (53.2%) or densely (41.4%) populated areas.

Conclusions.

A consistent and temporally stable inverse relationship between population density and suicide was found in the male, but not female, population. Men may be more vulnerable to adverse social and economic factors associated with lower population density.