Abstract
Objective: Suicide attempts of the older adults are known to be more serious than that of the younger adults. Despite its major social impact in South Korea, the behavioral mechanism of serious suicide attempt (SSA) in old people remains to be elucidated. Thus, we investigated the risk factors for SSA in older and younger suicide attempters in the emergency department.
Methods: Demographic data, clinical information, and the level of seriousness of suicide with Risk Rescue Rating Scale were compared between older (age ≥65) and younger (age <65) adults who visited the emergency department for a suicide attempt. Regression analyses were performed to identify the risk factors for SSA in these two groups.
Results: Among 370 patients, 37 were older adults (10%; aged 74.41 ± 6.78), more likely to have another medical disease (p < 0.001), and a higher suicide completion rate (16.2 vs. 5.4%, p = 0.023). In the younger group, old age (B = 0.090, p < 0.001), male sex (B = −0.038, p = 0.019), and impression of schizophrenia (B = 0.074, p = 0.027) were associated with a higher risk-rescue ratio and interpersonal stress condition was associated with a lower risk-rescue ratio (B = −0.045, p = 0.006). In the older group, however, no variables were included significant in the regression model for the Risk Rescue Rating Scale.
Conclusions: Demographic and clinical factors such as old age, male sex, interpersonal stress, and impression of schizophrenia were associated with lethality in the younger suicide attempters. However, no factors were associated with SSA in the older adult group. Different mechanisms may underly the lethality in old age suicide.
Keywords: lethality, old age suicide, serious suicide attempt, risk factor, risk rescue rating scale
Introduction
Suicide is one of the leading causes of death worldwide (1). Many risk factors and consequences constitute the complexity of suicidal behaviors. Suicide is recognized as a critical health issue throughout the lifespan. The epidemiologic studies have promisingly reported that the global age-standardized mortality rate of suicide decreased, although the number of suicidal deaths increased during the past two decades (1). However, suicide rates in South Korea are still 2.4-folds higher than those for other Organization for Economic Co-operation and Development (OECD) countries (2), ranking the fourth most common cause of all death in 2017 (3).
The outcome of suicide attempts varies from non-lethal suicidal behavior to suicidal completion with death. It is important to measure the lethality of the suicide attempt and prevent serious suicide attempts (SSA), defined as suicide attempt leading to a fatal outcome including death or hospitalization (4, 5) because the SSA cause both individual and social burden (4, 6). Many factors are involved in SSA or suicide lethality, including medical severity (7, 8), previous attempts (9), suicidal intent and method (7, 10), male sex (10), previous history and severity of psychiatric diseases (11–13), alcohol use (14), and age (15). A more comprehensive evaluation of SSA may include contextual information based on methods and circumstances of the suicide attempt because the lethality of the suicide attempt is associated with multiple variables.
Old age is known to be associate with SSA (15). A suicide attempt among the elderly is more serious, with a ~3-fold completion rate than that among non-elderly (16). Thus, studies have investigated risk factors for SSA, particularly in old age. An earlier literature review showed that major psychiatric illnesses, including depressive and psychotic disorders, were associated with SSA in older suicide attempters (17). More recent studies have reported that factors such as physical disease (18), functional disability (19), and social isolation (20) are associated with SSA or completion of suicide among older adults. Because the suicide rate of the older adult in South Korea has been the highest among the OECD countries for 13 consecutive years from 2005 to 2017, except for Lithuania that joined in May 2017 (2), it is necessary to investigate the risk factors associated with SSA in a Korean sample of older people. However, few studies have investigated risk factors for SSA in older adults compared to the younger age groups except for one recent study (21). Comparing the risk factors for SSA between older and younger groups would show information critical for old suicide attempters.
This study compared the characteristics of sociodemographic and clinical information of older and younger suicide attempters. Additionally, we investigated the hypothesis that risk factors for SSA in older adults would differ from those in the younger adults.
Methods and Materials
Participants
This retrospective, single-center study was conducted from April 2019 to June 2020 using data from medical records in Gachon University Gil Medical Center. Of the 296,157 eligible patients who visited the emergency department from August 2012 to December 2015, 1,498 patients who were confirmed to have attempted suicide were selected. Selected patients were categorized as “suicide attempt” in the intentionality of injury by an emergency department doctor among “suicide attempt,” “unintentional trauma,” and “violence/homicide.” Of the 1,498 patients, data from 346 participants who agreed to interview with a psychiatrist were used. Participants aged 65 or above were classified as the older adult group. The age of 65 was set because of the consensus statement on the psychiatry of the elderly produced by World Health Organization and World Psychiatric Association (22) and the subsequent publication mostly used 65 years as the cut-off age for depression in the elderly (23–25). All participants were interviewed by an emergency medical doctor and a psychiatrist. A patient with a suicide attempt is first screened by an emergency department doctor and then consulted by a psychiatrist to confirm if they attempted suicide, intervened with supportive psychotherapy, and set a treatment plan. Within a relatively short time, a semi-structured interview is required asking details of the suicide attempt and the risk factors. The lethality of the suicide attempt was routinely measured with the Risk Rescue Rating Scale (RRRS). Data of 24 suicide victims during the study period were extracted by reviewing the whole data of death on arrival during the study period to avoid excluding data of suicide completion (death), and RRRS were retrospectively measured with chart review. There were no multiple admissions of one patient that might lead to duplication of data.
Assessments
All interviews were conducted in the emergency room. Demographic information, including age, sex, years of education, occupation, another medical condition, living with family, marital status, and religion, were gathered. Suicide attempt and clinical information, including method of suicide attempt, precipitating factor, current psychiatric impression, alcohol intoxication, suicidal note, past psychiatric history, previous suicide attempt, and family history of suicide and psychiatric disease were also gathered. The information details were gathered using a semi-structured form from all participants during the interview with a psychiatrist. Besides, we reviewed the medical records of all interviewed participants to find whether they expired after admission to the ward.
According to the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental disorders-IV Axis I disorders (26), mental status and current psychiatric impressions were examined. The RRRS was administered to assess the lethality of the suicide attempt (27). This scale consists of 10 items: five items describe risk factors (the method used, impaired consciousness, toxicity, reversibility, and treatment required) and five describe rescue factors (location, the person initiating a rescue, probability of discovery, accessibility for rescue, and delay until discovery). Higher risk scores (ranging from 1 to 5) indicate more lethal suicide attempts, and higher rescue scores (ranging from 1 to 5) means less serious and more rescuable suicide attempts. The risk/rescue ratio is determined using the formula [Risk score/(Risk score + Rescue score)] × 100. Risk, rescue, and risk/rescue ratio scores were analyzed as continuous variables as there is no cut-off score of RRRS to define a fatal suicide attempt or SSA.
The institutional review board of Gachon University Gil Medical Center approved this study. Because of a retrospective study design, the need for informed consent was waived, and the period of investigation was from April 2019 to June 2020 (approval No. GCIRB2019-126).
Statistical Analysis
Descriptive statistics were used to analyze socio-demographic, clinical, and suicidal data and RRRS scores. Group comparisons of data were performed using the Mann-Whitney U test for continuous variables and chi-square or Fisher's exact test for categorical variables. Spearman correlation analysis was used to analyze the correlations among the RRRS, socio-demographic, clinical, and suicidal information. The effects of independent demographic, clinical, and suicidal information on RRRS were assessed using multiple stepwise regression analysis after performing correlation analysis. A p-value of less than 0.05 (p < 0.05) was considered significant. Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS, version 23, Chicago, IL, USA).
Results
Socio-Demographic Characteristics
A total of 370 participants comprised 37 (10.0%) older (74.41 ± 6.78) and 333 (90.0%) younger (37.23 ± 13.37) suicide attempters. Table 1 presents the socio-demographic variables. The years of education of older people were significantly shorter than those of the younger people (7.07 ± 5.47 vs. 11.54 ± 2.88, p < 0.001). A significantly higher proportion of old people was unemployed (p < 0.001) and had an additional medical condition (p < 0.001). No significant differences were found in sex (p = 0.342) and cohabitation with family (p = 0.770) but marital status (p < 0.001) and religion differed between the two groups (p = 0.022).
Table 1.
Demographic and clinical information of younger and older suicide attempters.
| Variable |
Younger attempters (n = 333) |
Older attempters (n = 37) |
Total (n = 370) |
p-value |
|---|---|---|---|---|
| Age, years (mean ± SD) | 37.23 ± 13.37 | 74.41 ± 6.78 | 41.00 ± 17.03 | <0.001† |
| Education, years (mean ± SD) | 11.54 ± 2.88 | 7.07 ± 5.47 | 11.12 ± 3.45 | <0.001† |
| Sex, female (n [%]) | 198 (59.5%) | 19 (51.4%) | 217 (58.6%) | 0.342 |
| Occupation (yes; n [%]) | 142 (43.7%) | 2 (5.6%) | 144 (39.9%) | <0.001‡ |
| Another medical condition (yes; n [%]) | 75 (22.9%) | 26 (70.3%) | 101 (27.7%) | <0.001‡ |
| Living with family (yes; n [%]) | 260 (79.0%) | 30 (81.1%) | 290 (79.2%) | 0.770‡ |
| Marriage status (n [%]) | <0.001‡ | |||
| Unmarried | 132 (40.1%) | 0 (0.0%) | 132 (36.2%) | |
| Married | 135 (41.0%) | 20 (55.6%) | 155 (42.5%) | |
| Widowed | 38 (11.6%) | 3 (8.3%) | 41 (11.2%) | |
| Separated | 11 (3.3%) | 12 (33.3%) | 23 (6.3%) | |
| Divorced | 13 (4.0%) | 1 (2.8%) | 14 (3.8%) | |
| Religion (yes; n [%]) | 76 (25.3%) | 15 (45.5%) | 91 (27.3%) | 0.022‡ |
Mann-Whitney U-test;
Chi-square test or Fisher's exact test.
Bold type indicates values significant at p < 0.05.
Suicide Attempt and Clinical Information
Table 2 presents information on suicide attempts and clinical characteristics. There were no significant differences in the method of suicide attempt between the two groups (χ2 = 6.41, p = 0.492), while there was a significant difference in the precipitating factor for suicide attempts (χ2 = 47.26, p = 0.002). In the younger group, interpersonal problems accounted for 43.1% of suicide attempts, while in the older group, physical illness was the major reason accounting for 37.8% of suicide attempts. Younger attempters showed a higher number of previous suicide attempts than older attempters (χ2 = 12.83, p = 0.002). There were no differences in the current psychiatric diagnosis, alcohol intoxication, suicide note, past psychiatric history, and family history of suicide attempts and psychiatric diseases. Older attempters showed a higher suicide completion rate than younger attempters (χ2 = 6.42, p = 0.023).
Table 2.
Information on suicide attempts in younger and older groups.
| Variable |
Younger attempters (n = 333) |
Older attempters (n = 37) |
Total (n = 370) |
χ2, p-value |
|---|---|---|---|---|
| Method of suicide attempt (n [%]) | 6.41, 0.492 | |||
| Drug ingestion | 179 (54.4%) | 24 (64.9%) | 203 (55.5%) | |
| Hanging | 42 (12.8%) | 3 (8.1%) | 45 (12.3%) | |
| CO intoxication | 31 (9.4%) | 1 (2.7%) | 32 (8.7%) | |
| Wrist cutting | 53 (16.1%) | 6 (16.2%) | 59 (16.1%) | |
| Fall down | 12 (3.6%) | 0 (0.0%) | 12 (3.3%) | |
| Stab injury | 7 (2.1%) | 2 (5.4%) | 9 (2.5%) | |
| Neck laceration | 4 (1.2%) | 1 (2.7%) | 5 (1.4%) | |
| Jumping into a car | 1 (0.3%) | 0 (0.0%) | 1 (0.3%) | |
| Precipitating factor for suicide attempt (n [%]) | 47.26, 0.002 | |||
| Interpersonal problems | 143 (43.1%) | 8 (21.6%) | 151 (40.9%) | |
| Economic problems | 73 (22.0%) | 4 (10.8%) | 77 (20.9%) | |
| Physical illness | 19 (5.7%) | 14 (37.8%) | 33 (8.9%) | |
| Work stresses | 20 (6.0%) | 0 (0.0%) | 20 (5.4%) | |
| Others† | 9 (2.7%) | 1 (2.7%) | 10 (2.7%) | |
| None | 10 (3.0%) | 2 (5.4%) | 12 (3.3%) | |
| Unknown | 58 (17.5%) | 8 (21.6%) | 66 (17.9%) | |
| Current psychiatric impression (n [%]) | 0.98, 0.986 | |||
| Major depressive disorder | 215 (77.6%) | 25 (83.3%) | 240 (78.2%) | |
| Schizophrenia | 17 (6.1%) | 1 (3.3%) | 18 (5.9%) | |
| Bipolar disorder | 14 (5.1%) | 1 (3.3%) | 15 (4.9%) | |
| Anxiety disorder | 1 (0.4%) | 0 (0.0%) | 1 (0.3%) | |
| Adjustment disorder | 7 (2.5%) | 1 (3.3%) | 8 (2.6%) | |
| Conversion disorder | 1 (0.4%) | 0 (0.0%) | 1 (0.3%) | |
| None | 22 (7.9%) | 2 (6.7%) | 24 (7.8%) | |
| Alcohol intoxication (yes; n [%]) | 168 (52.3%) | 14 (40.0%) | 182 (51.1%) | 1.92, 0.166 |
| Suicide note (yes; n [%]) | 18 (5.6%) | 1 (2.8%) | 19 (5.3%) | 0.51, 0.473 |
| Past psychiatric Hx (yes; n [%]) | 120 (42.9%) | 8 (29.6%) |
128 (41.7%) | 1.77, 0.183 |
| Previous suicide attempt (yes; n [%]) | 132 (39.6%) | 5 (13.5%) | 137 (37.0%) | 12.83, 0.002 |
| Family Hx of suicide attempt (yes; n [%]) | 18 (6.9%) | 0 (0.0%) | 18 (6.4%) | 1.63, 0.201 |
| Family Hx of psychiatric diseases (death; n, [%]) | 34 (13.0%) | 0 (0.0%) | 34 (12.0%) | 3.326, 0.071 |
| Suicide completion (death; n, [%]) | 18 (5.4%) | 6 (16.2%) | 24 (6.5%) | 6.42, 0.023 |
Chi-square test or Fisher's exact was used.
Others: death of an acquaintance, abortion/pregnancy.
Bold type indicates values significant at p < 0.05.
Hx, history.
Table 3 presents the risk score, rescue score, and risk-rescue ratio score of the younger and older groups comparable between groups.
Table 3.
Scores of risk rescue rating scale of the suicide attempters.
| Variable |
Younger attempters (n = 333) |
Older attetmpters (n = 37) |
Z, p-value |
|---|---|---|---|
| Risk score | 2.64 ± 1.09 | 2.78 ± 1.08 | −0.86, 0.392 |
| Agent used | 1.29 ± 0.53 | 1.16 ± 0.37 | −1.22, 0.223 |
| Impaired consciousness | 1.47 ± 0.61 | 1.43 ± 0.65 | −0.58, 0.560 |
| Lesion toxicity | 1.97 ± 0.69 | 2.11 ± 0.70 | −1.16, 0.249 |
| Reversibility | 1.84 ± 0.65 | 1.92 ± 0.68 | −0.64, 0.523 |
| Treatment required | 2.26 ± 0.59 | 2.30 ± 0.62 | −0.45, 0.651 |
| Rescue score | 3.92 ± 1.04 | 4.03 ± 0.83 | −0.27, 0.788 |
| Location | 2.80 ± 0.49 | 2.84 ± 0.50 | −0.67, 0.504 |
| Person initiating rescue | 2.71 ± 0.57 | 2.81 ± 0.52 | −1.29, 0.196 |
| Probability of discovery by a rescuer |
2.37 ± 0.65 | 2.59 ± 0.50 | −1.87, 0.062 |
| Accessibility to rescue | 1.92 ± 0.79 | 1.78 ± 0.82 | −1.01, 0.312 |
| Delay until discovery | 2.57 ± 0.71 | 2.46 ± 0.77 | −0.27, 0.788 |
| Risk-rescue ratio score | 39.98 ± 0.14 | 40.23 ± 0.13 | −0.13, 0.894 |
Data are mean ± standard deviation values, and the Mann-Whitney U-test was used.
Factors Associated With Risk of Suicide Attempt
In multivariate regression analyses, variables such as age, sex, marital status, alcohol intoxication, interpersonal stress, economic stress, schizophrenia, and bipolar disorder were set as independent variables with the stepwise method as they showed significant correlation with risk, rescue, and risk-rescue ratio scores (data not presented). Risk, rescue, and risk-rescue ratio scores were used as dependent variables in multivariate linear regression analyses (Table 4).
Table 4.
Factors associated with serious suicide attempts in younger and older groups.
| Independent variable | Risk score | Rescue score | Risk-rescue ratio score | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| B | SE | β | p | B | SE | β | p | B | SE | β | p | |
| In total participants | ||||||||||||
| Age | 0.547 | 0.141 | 0.220 | <0.001 | 0.061 | 0.018 | 0.195 | 0.001 | ||||
| Sex (female) | −0.299 | 0.125 | −0.136 | 0.017 | −0.039 | 0.016 | −0.141 | 0.012 | ||||
| Married | ||||||||||||
| Alcohol intoxication | 0.257 | 0.118 | 0.126 | 0.031 | ||||||||
| Interpersonal stress | 0.283 | 0.129 | 0.136 | 0.029 | −0.044 | 0.016 | −0.157 | 0.005 | ||||
| Economic stress | −0.395 | 0.158 | −0.157 | 0.013 | ||||||||
| r/o Schizophrenia | −0.661 | 0.252 | −0.152 | 0.009 | 0.070 | 0.032 | 0.119 | 0.033 | ||||
| r/o Bipolar disorder | ||||||||||||
| F = 11.427 p < 0.001 | F = 8.333, p < 0.001 | F = 8.874, p < 0.001 | ||||||||||
| In younger attempters | ||||||||||||
| Age | 0.705 | 0.163 | 0.254 | <0.001 | −0.387 | 0.158 | −0.146 | 0.015 | 0.090 | 0.020 | 0.256 | <0.001 |
| Sex (female) | −0.316 | 0.130 | −0.143 | 0.016 | −0.038 | 0.016 | −0.136 | 0.019 | ||||
| Married | ||||||||||||
| Alcohol intoxication | 0.326 | 0.127 | 0.157 | 0.011 | ||||||||
| Interpersonal stress | 0.301 | 0.138 | 0.143 | 0.030 | −0.045 | 0.016 | −0.162 | 0.006 | ||||
| Economic stress | −0.366 | 0.168 | −0.146 | 0.030 | ||||||||
| r/o Schizophrenia | −0.709 | 0.262 | −0.164 | 0.007 | 0.074 | 0.033 | 0.128 | 0.027 | ||||
| r/o Bipolar disorder | ||||||||||||
| F = 13.373 p < 0.001 | F = 8.118, p < 0.001 | F = 10.470, p < 0.001 | ||||||||||
| In older attempters | No significant linear regression models were found. | |||||||||||
Multivariate logistic linear regression analyses with the stepwise method were used in each group, and final models were presented.
Dependent variables were risk score, rescue score, and risk-rescue ratio score, respectively (log-transformed); independent variables were age (log-transformed), sex (male = 1 and female = 2), married (yes/no), alcohol intoxication (yes/no), interpersonal stress (yes/no), economic stress (yes/no), r/o schizophrenia (yes/no), and r/o bipolar disorder (yes/no).
SE, standard error.
In the whole sample, the risk score was associated with age (B = 0.547, p < 0.001) and male sex (B = −0.299, p = 0.017), and rescue score was associated with alcohol intoxication (B = 0.257, p = 0.031), interpersonal stress (B = 0.283, p = 0.029), economic stress (B = −0.395, p = 0.013), and schizophrenia (B = −0.661, p = 0.009). Risk-rescue ratio was associated with age (B = 0.061, p = 0.001), male sex (B = −0.039, p = 0.012), interpersonal stress (B = −0.044, p = 0.005), and schizophrenia (B = 0.070, p = 0.033).
In the younger group, risk score was associated with older age (B = 0.705, p < 0.001) and male sex (B = −0.316, p = 0.016). Rescue score was associated with age (B = −0.387, p = 0.015), alcohol intoxication (B = 0.326, p = 0.011), interpersonal stress (B = 0.301, p = 0.030), economic stress (B = −0.366, p = 0.030), and schizophrenia (B = −0.709, p = 0.007). Risk-rescue ratio was associated with age (B = 0.090, p < 0.001), male sex (B = −0.038, p = 0.019), interpersonal stress (B = −0.045, p = 0.006), and schizophrenia (B = 0.074, p = 0.027).
In the older group, however, no variables were included in the final regression model with the stepwise method. The result of post-hoc power analysis, that addresses the small sample size in the older group, is presented in Supplementary Figure 1.
Discussion
The present study aimed to identify the differences in the demographic and clinical information and risk factors for SSA between the younger and older suicide attempters. Differences were found in the educational attainment, medical condition, marital status, religion, precipitating factors for suicide attempt, previous suicide attempt, and suicide completion rate. Factors such as age, sex, alcohol intoxication, interpersonal stress, economic stress, and impression of schizophrenia were associated with SSA in the younger group. In contrast, no factors were found to be associated with SSA in the older group.
Concerning demographic and clinical factors, older suicide attempters were more likely to be less educated, unemployed, and had additional medical conditions than younger attempters. Due to poverty after the Korean War, lack of emphasis on education, and scarcity of resources, the older population in Korea is less educated than the younger population (28). Increased unemployment among the old adults is as expected, considering their mean age (74.41 ± 6.78) and retirement. An economic condition, such as diminished wealth and unemployment, is known to increase suicidal ideations and behaviors (29). The known association between low educational attainment and poverty in older adults may also reflect the low employment level of the older adults in our study (30–32). The prevalence of medical diseases is three times higher in the older group than in the younger group. In previous studies, medical illnesses such as cancer, liver disease, chronic obstructive lung disease, urinary problems, arthritis/arthrosis, moderate to severe pain, and neurologic and psychiatric diseases have been associated with suicidal behavior in the elderly (19, 33). Marital status and religion differed between the two groups. Although married attempters were predominant in both groups, older people were more likely to be separated (33.3%) while younger people were unmarried (40.1%), which is comparable with previous studies (34, 35). The older adults were more likely to be religious (45.5 vs. 25.4%) as per the recent report showing a trend toward decreased religiosity among young adults (36). This result is inconsistent with a previous study showing the protective effects of religion on suicide attempts (37) and may implicate the additional mechanism of SSA in old age. It also should be considered that differences in the demographic and lifestyle variables between older and younger suicide attempters might be general features of older and younger adult groups.
Information on suicide attempts differed between groups regarding precipitating factors, previous suicide attempts, and suicide completion rate. The major stressor regarding suicide attempt was physical illness in the older group (37.8%) and interpersonal problems in younger group (43.1%). Previous studies have also shown that the major reasons for suicide attempts included physical illness or problems in the older adults and quarrels with the spouse or family members in young adults (21, 35). Older people may face an inevitable vulnerability due to their poor physical health and lack of family or social support (28) that may burden them and lead them to commit suicide. The next major precipitating factors in the older group found in this study were interpersonal (21.6%) and economic problems (10.8%). Older people with suicidal behavior have chronic difficulties in interpersonal relationships and low overall social support (35). Underestimated depressive disorder or subclinical depressive symptoms are strong predictors and moderators of suicidal behavior (35, 38, 39). Thus, interpersonal problems and physical or medical problems should be considered while evaluating old individuals with a suicide attempt.
The older group had a 3-fold lower rate of previous suicide attempts (13.5 vs. 39.6%) and a 3-fold higher suicide completion rate (16.2 vs. 5.4%) than the younger group. Our study result corresponds with an earlier study that reported an ~3-fold suicide completion rate among the older attempters (16). Regarding the lethality of the suicide attempt, these results may imply that SSA is more prevalent in the older group than in the younger group. Increased lethality of suicide in old age has been consistently found in previous studies (15–17, 38, 40). The less-lethal suicidal behavior has also been predominantly found in adolescent and young adult groups (17, 20). Evidence shows that attempted and completed suicide exhibits opposite trends according to age (41). Although previous suicide attempt is a risk factor for suicide re-attempt and completion (9), it can be postulated that old individuals' vulnerability to such attempts and the high severity of their suicide attempts may be associated with a decreased number of previous suicide attempts in the present study.
Another important finding in this study is the difference in the factors related to lethal suicidal attempts between older and younger adult groups. Factors like old age, male sex, alcohol intoxication, presence of interpersonal stress, and history of schizophrenia were significantly associated with RRRS in the young adult group. However, no factors were associated with RRRS in the old adult group. Earlier studies have found several associated factors for completed or high-lethal suicide attempts in old age: depressive disorder (42), physical illness (42, 43), loss (43), and high suicidal intent (15, 44). Researchers have also reported that job problems, family discord, and alcoholism were less associated with completed suicide attempts among suicide attempters aged over 50 years (43). Since only a few studies have investigated the risk factor for high suicide lethality or SSA among old adults, little is known about the factors affecting the severity of attempted suicide, specifically in the old age group. In psychological aspects, characteristics of delaying small rewards and waiting for larger ones (45), vulnerable personality including high neuroticism and lower openness to experience are elevated in older suicide attempters with high-lethality (46). It was found that cluster B personality traits associated with repetitive, less severe suicide attempts decreased in old age (47) and older suicide attempters (48). The lack of personality trait information can contribute to the insignificant result in the older group in this study. Additionally, we assume that the small sample size and lack of information of possible risk factors such as cognitive decline, frailty, and social interaction (48–50) contribute to the results showing no significant risk factors for SSA in the old adult group. Since we analyzed the risk factors for high-risk suicide attempts, it may differ from those for suicide attempts in the old individuals. Besides, age was no longer associated with SSA after age 65, which may imply that age may be a predisposing factor for SSA in old age rather than a risk or precipitating factor (51). Cautious interpretation is needed due to the under-report or underestimation of the risk factors of older people. Although social factors such as bereavement and isolation were found to be predictive for suicide in old age (52), particular social factors such as Confucian thought, the rapid progress of modernization, and change to nuclear family in Korean society also should be considered. Regarding the lethality of suicide attempts itself in this study, RRRS was comparable between groups which might be attributed to the small sample size of the older group. Future studies with large number of old people is needed to find the differences in lethality and associated factors.
This study has several limitations. First, the main weakness is the relatively small sample size. Although there have been no large studies comparing older to younger suicide attempters, the sample size in the older group (n = 37) was too small to show enough statistical power. Future studies should try to include a comparable large number of older participants. Additionally, the sample was not based on the general population of suicide attempters but a single university hospital emergency room. Second, suicide attempters who refused the interview were not included in the study, and participants may have been underestimated because of the brief interview setting at the emergency department. To reduce this bias, we reviewed the charts of suicide attempters during the study period and included suicide victims in the study. Third, although we obtained comprehensive demographic and clinical data and information on suicidal behavior, we may have disregarded some other potential confounders, such as attempters' characteristics, socioeconomic status, and time of the suicide attempt which may be associated with a seasonal variation of the suicide attempt (53). Fourth, aging factors such as cognitive decline, frailty, and social interaction associated with suicide attempts were not collected (49, 50). Lastly, participants were all of Korean descent from a single tertiary hospital, limiting this study's generalizability to other populations or ethnic groups. Cultural, lifestyle, and ethnic differences could play a role in the risk factor for SSA in the old age group (54). Future studies should also consider the heterogeneity of the study participants, including recruiting sites and ethnicity.
Conclusions
SSA in the old age is a major personal and social problem worldwide. We found that the usual suspects for SSA in younger suicide attempters, such as age, sex, interpersonal stress, and impression of schizophrenia, were not applicable in older suicide attempters. This suggests that a view different from the general population is needed to detect and prevent SSAs among the old people in the future. From 2011 to 2017, among OECD members, South Korea had the highest suicide rate among the older adults. In Korea, the “Act on Suicide Prevention and Respect for Life” was enacted in 2011. A suicide attempt follow-up service is provided in cooperation with the emergency and psychiatry departments in the emergency room (55, 56). The act also includes strategies for managing stress, establishing campaigns for life respect culture, improving media reporting of suicide, operating local suicide prevention centers for the old people (57). Except for a slight increase in 2015, the old age suicide rate is declining every year. Also, the gap between elderly suicide rates in South Korea and other OECD countries is gradually decreasing (58). Efforts should be made to find the modifiable and moderating risk factors through future studies that could contribute to public health surveillance strategies, education of the general population and professionals, and policy implementation for suicide prevention.
Data Availability Statement
The datasets generated for this study are available on request from the corresponding author.
Ethics Statement
The institutional review board of Gachon University Gil Medical Center approved this study. Because of a retrospective study design, the need for informed consent was waived (approval no. GCIRB2019-126).
Author Contributions
DK: study concept and design, analysis and interpretation of data, and preparation of the manuscript. SC: study concept and design, interpretation of data, preparation of the manuscript, and funding acquisition. S-JC: study concept and design, acquisition of data, analysis and interpretation of data, preparation of the manuscript, and funding acquisition. SW, S-GK, and BY: study concept, interpretation of data, supervising and critical review, and editing the manuscript. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
Funding. This work was supported by the Gachon University research fund of 2018 (GCU-2018-5261), Gachon University Gil Medical Center (Grant number: FRD 2019-02), and the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2020-2017-0-01630) supervised by the IITP (Institute for Information & Communications Technology Promotion). The funding sources had no role in the study design, collection, analysis, and interpretation of data, writing of the report, or decision to submit the article for publication.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2020.607811/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated for this study are available on request from the corresponding author.