Characteristics of the "young-old" and "old-old" community-dwelling suicidal Ideators: A longitudinal 6-month follow-up study

A narrative review: suicide and suicidal behaviour in older adults

Globally, suicide is a public health concern that claims the lives of many each year. The complex etiology and factors contributing to the risk of suicide make it hard to predict the likelihood of death by suicide. Suicide rates have been increasing over the past 25 years in patients aged 65 years and older, and with the expected increases in the size of the older adult population and the under-detection of suicide risk, these rates may continue to increase. To mitigate and attempt to limit this expected increase, it is important to understand the risk and protective factors of suicide in older adults. This narrative review focuses on individuals above the age of 65 and encompasses relevant peer-reviewed publications from the past 25 years to cover fatal and non-fatal suicidal behaviour. It summarizes several important risk factors for suicide and suicidal behaviors while considering how risk can be detected, assessed, prevented, and mitigated. Screening methods to detect suicide and depression in older adults were examined based on their effectiveness and suitability for use in this population. Lastly, the impacts of the COVID-19 pandemic on suicide rates in older adults were described.

Factors associated with frailty transitions among the old-old in a community

AIM

The study aimed to explore the factors associated with frailty transitions among the old-old (aged ≥75 years) in a community.

METHODS

The participants were all from a prospective cohort study in a community in Beijing, China. Frailty states were assessed using FRAIL at baseline and at 1-year follow-up. The association between factors, including comprehensive geriatric assessment and laboratory indicators, and frailty transitions were explored by binary logistic regression. The predicted value of the factors associated with frailty transitions was analyzed using the receiver operating characteristic curve (ROC) and the area under the ROC (AUC) for each factor was calculated.

RESULTS

In total, 183 older adults (mean age: 83.9 ± 4.4 years; women, 59%) completed the frailty state assessment at baseline and 1-year follow-up. After adjusting for age and sex, physical function, including walking speed, timed up-and-go test and short physical performance battery, serum albumin and serum high-sensitivity C-reactive protein (hsCRP) were associated with worsening of the frailty state. Cognitive function was associated with improving the frailty state. ROC analysis showed that low walking speed (AUC: 0.81), long timed up-and-go test time (AUC: 0.77), low short physical performance battery score (AUC: 0.75), low serum albumin (AUC: 0.68) and high serum hsCRP (AUC: 0.80) could predict the decline in frailty state. Good cognitive function (AUC: 0.69) predicted an improvement in the frailty state.

CONCLUSIONS

The frailty state of the old-old with poor physical function, low serum albumin and high serum hsCRP was likely to decline, but it could improve with good cognitive function. Geriatr Gerontol Int ••; ••: ••-•• Geriatr Gerontol Int 2023; ••: ••-••.

Suicidality in the geriatric population

Suicide in older adults is a major global concern in both public and mental health. With an ageing population on the rise, a surge in suicidal deaths is predicted in the coming years. The objectives of this paper are to review the risk factors, protective factors, assessment rating scales and current prevention strategies in the geriatric population. The identification of modifiable risk factors and strengthening of protective factors as well as staging according to suicidal ideation, behaviors and/or attempt(s) are necessary to devise appropriate personalized interventions in vulnerable older adults. A history or current psychiatric illness particularly depression, physical illnesses, previous suicide attempt, substance abuse, loneliness, marital status, financial stress, a family history of psychiatric illnesses or suicide in 1st degree relatives and low social support most commonly increase suicidal susceptibility in older adults. Conversely, factors that increase resilience in older adults include a good physical health and cognitive function, religiousness, good quality of life and life satisfaction, ability to perform activities of daily living, marital status, having friends and social connectedness. While the risk factors associated with suicide in the geriatric population are complex and multidimensional in nature, the current preventive strategies have provided no substantial decline in suicidal risk. Therefore, a combination of strategies applied via a multilevel prevention program at a primary, mental healthcare, societal and community level could mitigate suicidal risk. Further research and better preventive measures are warranted to diminish suicidal risk in older adults.

Predictors of not receiving mental health services among people at risk of suicide: A systematic review

BACKGROUND

The majority of people who die by suicide are unknown to formal mental health services. The current review identified predictors of non-receipt of mental health services among individuals experiencing suicidal thoughts or behaviours. Such data provides insight into the needs and preferences of these individuals and inform improvements to existing services.

METHODS

PsycInfo, PubMed/Medline, CINAHL, and Web of Science were systematically searched from 1st January 1980 up to 20th September 2021. Included studies examined predictors of not receiving formal mental health services among people at risk of suicide. Study quality was assessed by adapting the Joanna-Briggs Institute Checklist for Analytical Cross-Sectional Studies. Findings were presented with narrative synthesis. PROSPERO registration: CRD42021256795.

RESULTS

Included studies (n = 35, sample range = 46-19,243) were predominately conducted in the United States. Non-receipt of services in nationally representative studies was varied (25.7-91.8%). Results indicate that non-receipt of mental health services among people with suicidality is associated with minority ethnicity, better perceived general health, lower psychological distress, lower severity of suicidality, no mental health diagnosis, lower perceived need for treatment and lower use of medical services.

LIMITATIONS

Limitations included few studies conducted in low-middle income countries, limited literature on key predictors of interest, and exclusion of informal sources of support.

CONCLUSION

Individuals with suicidality who are unknown to mental health services have diverse attributes. For some, non-use of services may result from low suicidal distress and perceived need for treatment. Further research is needed to understand why these predictors are associated with service non-use.

Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study

BACKGROUND

Individuals requiring inpatient psychiatric care represent a group at higher risk of progressing toward suicide attempt. Using electronic medical record (EMR) data collected from psychiatric inpatient admissions, the objective of this study was to identify sex differences in risk factors for suicide plans and/or attempts within the 30 days preceding hospital admission.

METHODS

Resident Assessment Instrument for Mental Health (RAI-MH) intake data were obtained for patients admitted to a Canadian tertiary-care hospital deemed a "threat or danger to self" during a 10-year period (2008-2018). Data was extracted for individuals categorized into three groups: non-suicidal (N = 568), presence of suicide plan (N = 178), and presence of suspected suicide attempt (N = 124) in the 30 days prior to hospital admission. Multivariate logistic regression models were used to examine determinants of suicide risk.

RESULTS

Across all models, diagnosis of depression was the strongest predictor of suicide plan and/or attempt (OR = 5.54, 95% CI = 3.71-8.27, p < 0.001). Comparing clinical symptoms between suicidal and non-suicidal groups at the time of admission, the largest effect sizes were found for hopelessness (p < 0.001, η² = 0.11), and guilt or shame (p < 0.001, η² = 0.09). Female sex was identified as a significant factor for elevated suicidal risk (OR = 1.56, 95% CI = 1.01-2.21, p = 0.01), thus we stratified the regression model by sex to identify specific risk factors for suicide plan and/or attempt for males and females. Among males, having no confidant (OR = 2.13, 95% CI = 1.19-3.80, p = 0.01), presence of recent stressors (OR = 1.95, 95% CI = 1.16-3.29, p = 0.01), and participation in social activities (OR = 1.67, 95% CI = 1.02-2.71, p = 0.04) were important predictors, while among females, younger age (OR = 0.96, 95% CI = 0.94-0.97, p < 0.001) increased odds of suicide plan and/or attempt.

CONCLUSION

EMR-derived findings highlight different psychosocial and clinical determinants for males and females associated with suicide plan or attempt prior to psychiatric admission. Identifying precipitating factors that elevate imminent suicide risk may inform suicide prevention efforts for psychiatric inpatients.

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.

Associations between suicidal ideation and health-related quality of life among community-dwelling stroke survivors: 2013-2017 Korea National Health and Nutrition Examination Survey

PURPOSE

The study aimed to identify differences between individuals with stroke and the general population regarding socioeconomic, mental health, and Health-related quality of life (HRQOL) factors, and associations among Suicidal ideation (SI), HRQOL, and mental health.

METHODS

Data of individuals with stroke (n = 592) and without stroke (n = 23,562) aged 20 or older from the 2013-2017 Korea National Health and Nutrition Examination Survey were analyzed. Chi-square tests examined differences in socioeconomic status, mental health, and HRQOL (EQ-5D) between groups. Independent associations between each EQ-5D dimension and SI were analyzed through multivariable logistic regression.

RESULTS

Individuals with stroke were more likely to have problems on all EQ-5D dimensions. Significant univariate associations were identified between four EQ-5D dimensions and SI among individuals with stroke. Pain/discomfort (odds ratio [OR] = 1.32; 95% confidence interval [CI], 1.01-1.75, p = 0.048) and anxiety/depression (OR = 4.66; 95% CI, 3.69-5.89, p < .0001) of the EQ-5D were associated with SI when adjusting for all socioeconomic variables; anxiety/depression (OR = 2.80; 95% CI, 2.18-3.60, p < .0001) was the only risk factor for SI after controlling for socioeconomic and mental health variables.

CONCLUSION

Individuals with stroke showed higher rates for problems on the EQ-5D, SI, and depression compared to the general population. They also demonstrated significant associations between SI and each EQ-5D dimension except physical activity, especially pain/discomfort and depression/anxiety. The study's findings can be referred to when predicting suicide risk in individuals with stroke by analyzing their EQ-5D scores.

Life weariness, suicidal thoughts and mortality: a sixteen-year longitudinal study among men and women older than 60 years

Background

Suicide in old age is a significant contributor to mortality. However, the extent to which life weariness and suicidal thoughts impact on mortality in a long-term perspective is unknown. The aim of this study was to investigate the effect of life weariness and suicidal thoughts on long-term survival (16 years) in an older Swedish population, controlling for demographic and social network factors and depression. A further aim was to investigate differences in sex and age interactions in relation to mortality among individuals with and without life weariness and suicidal thoughts.

Methods

A longitudinal cohort study on a national, representative sample of individuals aged 60+ years was conducted within the Swedish National Study of Aging and Care study. The sample included 7213 individuals, who provided information about life weariness and suicidal thoughts through an item derived from the Montgomery-Åsberg Depression Rating Scale. Data were analysed with multivariate Cox proportional hazards models, adjusted for potential confounders.

Results

At baseline, 12.5% of the participants (14.6% of females and 9.5% of males) reported life weariness and suicidal thoughts. During the 16-year follow-up, a mean survival time was 11.5 years (standard deviation (SD) 5.6), and 3804 individuals died (59.5% females and 40.5% males). Individuals with life weariness and suicidal thoughts had half the survival rate compared with those without such thoughts (24.5% vs. 50.6%), with a mean survival time of 8.4 years (SD 5.7) versus 12.0 years (SD 5.4). The multi-adjusted hazard ratio of mortality for those reporting life weariness and suicidal thoughts was 1.44 (95% confidence interval, 1.30–1.59), with the population attributable risk at 11.1%. In the models, being male or female 80+ years showed the highest multi-adjusted hazard ratio of long-term mortality (ref. female 60–69 years).

Conclusions

The findings suggested that life weariness and suicidal thoughts were risk factors for long-term mortality, when controlled for sex and age interactions that were found to strongly predict long-term mortality. These findings have practical implications in prevention of mortality, emphasising the importance of screening, identifying, and intercepting older men and women with signs of life weariness and suicidal thoughts.

Trial registration

Not applicable.

Mental health of clinical staff working in high-risk epidemic and pandemic health emergencies a rapid review of the evidence and living meta-analysis

PURPOSE

The SARS-CoV-2 / COVID-19 pandemic has raised concerns about the potential mental health impact on frontline clinical staff. However, given that poor mental health is common in acute medical staff, we aimed to estimate the additional burden of work involving high exposure to infected patients.

METHODS

We report a rapid review, meta-analysis, and living meta-analysis of studies using validated measures from outbreaks of COVID-19, Ebola, H1N1 influenza, Middle East respiratory syndrome (MERS), and severe acute respiratory syndrome (SARS).

RESULTS

A random effects meta-analysis found that high-exposure work is not associated with an increased prevalence of above cut-off scoring (anxiety: RR = 1.30, 95% CI 0.87-1.93, Total N = 12,473; PTSD symptoms: RR = 1.16, 95% CI 0.75-1.78, Total N = 6604; depression: RR = 1.50, 95% CI 0.57-3.95, Total N = 12,224). For continuous scoring, high-exposure work was associated with only a small additional burden of acute mental health problems compared to low-exposure work (anxiety: SMD = 0.16, 95% CI 0.02-0.31, Total N = 6493; PTSD symptoms: SMD = 0.20, 95% CI 0.01-0.40, Total N = 5122; depression: SMD = 0.13, 95% CI -0.04-0.31, Total N = 4022). There was no evidence of publication bias.

CONCLUSION

Although epidemic and pandemic response work may add only a small additional burden, improving mental health through service management and provision of mental health services should be a priority given that baseline rates of poor mental health are already very high. As new studies emerge, they are being added to a living meta-analysis where all analysis code and data have been made freely available: https://osf.io/zs7ne/ .

Longitudinal trajectory of disability in community-dwelling older adults: An observational cohort study in South Korea

Background

Disability, which is considered a health-related condition, increases care demands and socioeconomic burdens for both families and communities. To confirm the trend of dynamic longitudinal changes in disability, this study aims to explore how disability is divided by the trajectory method, which deals with time-sequenced data. Additionally, this study examines the differences in demographics, geriatric conditions, and time spent at home among the trajectory groups in community-dwelling older adults. Home time is defined as the period during which the patient was not in a hospital or health care facility during their lifetime.

Methods

Records of 786 community-dwelling older participants were analyzed from the Aging Study of PyeongChang Rural Area, a population-based cohort study that took place over three years. Using 7 domains of activities of daily living and 10 domains of instrumental activities of daily living, participants were grouped into no dependency (0 disabled domain), mild (1 disabled domain), and severe (2 or more disabled domains) disability groups. The longitudinal trajectory group of disability was calculated as a trajectory method. Three distinct trajectory groups were calculated over time: a relatively-stable group (78.5%; n = 617), a gradually-aggravated group (16.0%; n = 126), and a rapidly-deteriorated group (5.5%; n = 43).

Results

The average age of 786 participants was 73.3 years (SD: 5.8), and the percentage of female was 52.7%. It was found that 78.5% of patients showed relatively no dependence and 5.5% of older adults in a rural area showed severe dependence. Through applying the trajectory method, it was shown that the Short Physical Performance Battery (SPPB) score was 10.2 points in the relatively-stable group and 3.1 points in the rapidly-deteriorating group by the 3rd year. Additionally, by the trajectory method, the rate of decrease in home time was 3.33% in the rapidly-deteriorated group compared to the relatively-stable group.

Conclusions

This study shows the difference in demographics and geriatric conditions (such as SPPB) through the examination of longitudinal trajectory groups of disability in community-dwelling older adults. Significant differences were also found in the amount of home time among the trajectory groups.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12877-020-01834-y.

Poststroke suicide risk among older adults in South Korea: A retrospective longitudinal cohort study

OBJECTIVES

The present study evaluated suicide risk within 1 year after discharge among older adults with stroke as a function of depression onset.

METHOD

We used the Korean National Health Insurance Service-Senior cohort data and included first discharged patients with a stroke as the principal diagnosis. The comparison group was selected by a 1:2 case-control propensity score matching for age, sex, Charlson comorbidity index, and diagnosis year between 2005 and 2012. Suicide deaths were measured by code for causes of death from Statistics Korea, and the main outcome was suicide death within 1 year following discharge. An adjusted hazard ratio (AHR) of suicidal risk was measured using a Cox proportional hazard model.

RESULTS

In the total sample of 128 286 older adults (aged 63-114 years), the higher suicidal risk was examined for stroke patients vs the comparison group (AHR = 1.4; 95% confidence interval [CI], 1.1-1.8). Stroke patients with depression had an increased suicide risk (AHR = 2.9; 95% CI, 1.8-4.8) but only for poststroke depression (AHR = 4.1; 95% CI, 1.8-9.5). Pre and poststroke depression suicidality (AHR = 4.8; 95% CI, 2.1-11.1) was also higher when compared to stroke patients without depression.

CONCLUSIONS

Poststroke patients are at increased suicidal risk during 1 year following discharge. Furthermore, patients who were diagnosed with depression after a stroke are more likely to commit suicide than stroke patients without depression. This suggests a necessity for early suicide preventive intervention for stroke patients while considering depressive symptomology.