ORIGINAL RESEARCH article

Front. Psychiatry, 12 May 2021

Sec. Mood Disorders

Volume 12 - 2021 | https://doi.org/10.3389/fpsyt.2021.651327

Predictive Factors Associated With Methods of Suicide: The Korean National Investigations of Suicide Victims (The KNIGHTS Study)

  • HK

    Hyewon Kim 1

  • YK

    Yuwon Kim 2

  • GL

    Gusang Lee 3

  • JH

    Jin Hwa Choi 3

  • VY

    Vidal Yook 4

  • MS

    Myung-Hee Shin 5

  • HJ

    Hong Jin Jeon 3,4,6*

  • 1. Department of Psychiatry, Hanyang University Medical Center, Seoul, South Korea

  • 2. Department of Data Science, Evidnet, Seongnam-si, South Korea

  • 3. Korea Psychological Autopsy Center (KPAC), Seoul, South Korea

  • 4. Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea

  • 5. Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea

  • 6. Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea

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Abstract

Background: Because the suicide mortality depends on the lethality of suicide methods, the identification and prediction of suicide methods are important for suicide prevention.

Methods: Examination data of suicide decedents were collected based on police reports. Suicide decedents were divided into groups according to the suicide methods (hanging, gas poisoning, pesticide poisoning, jumping, drug poisoning, and drowning) they used. Predictive factors for each suicide method in comparison to other suicide methods were identified.

Results: Among 23,647 subjects, hanging was the most common method of suicide. Regarding gas poisoning, the history of previous suicide attempt was a risk factor and being age of 65 or older was a protective factor. Being age of 65 or older showed a highly strong association with suicide by pesticide poisoning. Being age of 18 or younger and the presence of schizophrenia were associated with jumping. A history of psychiatric outpatient treatment was a risk factor for drug poisoning. Regarding suicide by drowning, schizophrenia was a risk factor, while being age of 65 or older was a protective factor.

Limitations: Only eight out of a total of 17 regions in South Korea were examined and included in the data of this study. Also, the methods of suicide were defined as one method that directly caused the death, which could undermine other less fatal methods used.

Conclusions: There were differences in predictive factors according to the method of suicide. Predicting the method of suicide in people at high risk for suicide stands to be an important strategy for suicide prevention in clinical settings.

Introduction

Suicide is a major cause of death worldwide, with ~800,000 people dying by suicide every year. In 2018, the incidence of suicide in South Korea was 26.6 per 100,000 people (1), which is the highest national incidence among the Organization for Economic Cooperation and Development (OECD) countries (2). Although the government of South Korea has implemented suicide prevention policies, including the enactment of the Suicide Prevention Law, the positive effects of government actions are still insufficient.

The lethality of suicide methods affects suicide mortality. Therefore, the identification and prediction of suicide methods are important for suicide prevention. The process and mechanism of choosing a suicide method are complex and multidetermined, influenced by various factors, such as environment, culture, as well as individual characteristics. According to previous studies, the differences regarding methods of suicide appear between countries and regions (37). Trends in suicide methods may change with time (8, 9) as new methods of suicide emerge (10) and the diffusion occur between one population and another population (11). The selection of suicide method is also known to be affected by season or day of the week (7), media reports (12), genetic effect (13), and comorbid physical or psychiatric disorders (14, 15). High accessibility, such as specific drug use, household firearm ownership, occupational drug use, also acts as predictive factors for suicide methods (1517). Moreover, previous studies have reported that sex, education, marital status, residential areas, leaving a suicide note, and experiencing interpersonal conflict are associated with the method of suicide (12, 1820).

Nevertheless, the evidence on risk factors according to suicide methods has been established in small sample sizes in few countries, with known limitations that comparative analysis of suicide methods is insufficient. In this study, we aim to investigate the comprehensive risk factors of suicide methods using the examination data of police reports on people who have died by suicide in South Korea.

Methods

Data Source and Study Population

This study used data from the Korean National Investigations of Suicide Victims (the KNIGHTS study) conducted by the Korea Psychological Autopsy Center (KPAC) (21). The KNIGHTS study was conducted by examining police investigation reports of people who died by suicide from January 1, 2013 to December 31, 2017. Trained investigators comprising mental health professionals (including certified psychiatric and mental health nurses), mental health psychologists, and mental health social workers with experience in psychiatric epidemiologic surveys were recruited for the study. The team visited a total of 254 police stations in 17 regions of South Korea. They examined police reports on people who had died by suicide and identified basic personal information, information related to the suicide, information on the causes of suicide, and information from informants' interview. According to the Korea National Statistical Office, the number of people who died by suicide during the study period was estimated to be ~70,000. As of March 2020, KPAC had completed the examinations in eight regions (Seoul, Sejong, Daejeon, Gwangju, Jeju, Gangwon-do, Chungcheongbuk-do, and Chungcheongnam–do) of the 17 regions. At that time, data were publicly available on 23,648 deaths by suicide. The data of the KNIGHTS study were categorized into general disclosure, limited disclosure, and non-disclosure according to their characteristics, and we were able to include variables with general disclosure and limited disclosure in the analyses. The analyses of this data form the basis of the current study. Informed consent was waived by the Institutional Review Board of Samsung Medical Center because the study population is deceased.

Methods of Suicide

To identify the characteristics of suicide decedents according to the suicide method, we investigated the methods of suicide in the study population. Per KNIGHTS study protocol, the method of suicide was recorded as the one method that resulted in death. When two or more methods were used for suicide, the method of suicide was recorded as the direct cause of death based on police reports. When two or more direct causes of death were reported by police, the method with the higher fatality was recorded as the method of suicide.

Outcomes

We identified demographic, suicide-related, and psychiatric characteristics of people who died by suicide. The demographic characteristics included sex, age, employment status, and the presence of physical illness. The suicide-related characteristics included the location of suicide, drinking status, joint suicide, homicide-suicide, the presence of a suicide note, and major cause of suicide. The psychiatric characteristics included psychiatric symptoms, psychiatric diagnosis, psychiatric treatment, the history of previous suicide attempts, and the history of previous non-suicidal self-injuries. Regarding the potential risk factors, we investigated the association between potential risk factors and each method of suicide in comparison to other methods of suicide.

Statistical Analyses

We investigated the distribution of demographic, suicide-related, and psychiatric characteristics, of suicide decedents according to various methods of suicide. Comparisons between methods of suicide were conducted using chi-squared tests. The multivariate logistic regression analyses were used to calculate the odds ratios (ORs) for potential risk factors associated with each method of suicide in comparison to other reported methods of suicide. All statistical analyses were performed using SAS software version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

Methods of Suicide in All Subjects

Among 23,652 people who died by suicide, 12,283 (51.93%) died by hanging, which was the most common method, followed by jumping (15.81%), gas poisoning (13.73%), pesticide poisoning (8.00%), drowning (5.25%), and drug poisoning (2.10%). We subsequently analyzed the six methods of suicide including hanging, gas poisoning, pesticide poisoning, jumping, drug poisoning, and drowning. Four of the suicide cases by hanging were excluded due to insufficient personal information about the victims.

Demographic and Suicide Characteristics in Subjects

Table 1 shows the demographic characteristics and suicide-related information of the subjects. Males accounted for 69.7% of the sample. Although more males comprised the total sample, in cases of suicide due to drug poisoning, females accounted for 48.3% of deaths and the sex differences were small. The age distribution of the subjects also showed differences according to the method of suicide. Nearly half of the subjects aged 10–19 years died by jumping (49.8%), and the subjects aged 70 or older accounted for 54.9% of suicide deaths by pesticide poisoning. More specifically, 65.9% of subjects who died by pesticide poisoning and 51.7% of subjects who died by drug poisoning had physical illnesses.

Table 1

Total people who died by suicide (n=23,648)Method of suicide
Hanging (n=12,279)Gas poisoning (n=3,248)Pesticide poisoning (n=1,893)Jumping (n=3,739)Drug poisoning (n=497)Drowning (n=1,241)p
N%N%N%N%N%N%N%
Sex<0.0001
   Male16,48569.718,76271.362,60280.111,29868.572,12556.8325751.7193275.1
   Female7,16330.293,51728.6464619.8959531.431,61443.1724048.2930924.9
Age (years)<0.0001
   10–195082.151321.08411.2610.052536.7730.6735.88
   20–292,2129.359107.4140812.5680.4253414.28387.6526521.35
   30–393,68215.571,85615.1287426.91442.3254614.67615.2921217.08
   40–494,44318.792,36319.2492628.511337.0354814.6611322.7421817.57
   50–594,66019.712,66321.6962219.1531016.3858515.6510420.9320316.36
   60–693,01112.731,67313.622387.3335818.9143011.57214.491169.35
   70–793,20713.561,70213.861023.1461232.3350713.566412.88947.57
   ≥ 801,9258.149807.98371.1442722.563368.99275.43604.83
Employment status<0.0001
   Employed5,00721.172,75522.4499830.731598.458515.657815.6927121.84
   Self-employed2,98512.621,72114.0251715.9236619.332075.54377.44715.72
   Student8063.412411.96993.0510.053298.881.611149.19
   Housewife1,1464.856495.29551.69542.852797.46285.63393.14
   Unemployed11,94350.56,02649.081,25138.521,19963.342,13957.2129258.7561049.15
   Other1,7617.458877.2232810.11146.022005.355410.8713610.96
Physical illness<0.0001
   Yes9,42739.865,02440.9275323.181,24765.871,44238.5725751.7135428.53
   No7,72132.654,00732.631,34541.4130916.321,25433.5412224.5549139.56
   Unknown6,50027.493,24826.451,15035.4133717.81,04327.911823.7439631.91
Physical disability<0.0001
   Yes1,3045.516575.351183.631548.142366.31316.24483.87
   No11,70249.486,17050.251,67551.5780642.581,84049.2123547.2863250.93
   Unknown10,642455,45244.41,45544.893349.291,66344.4823146.4856145.21
Location of suicide<0.0001
   Home13,08755.347,87564.131,60449.381,46977.601,28334.3136172.6480.64
   Home of3341.411541.25641.97221.16721.93102.0100
   acquaintance
   School/work place8043.406084.95742.28502.64421.1271.4120.16
   Public place6,41627.132,10617.151,13534.9421611.412,12556.83479.4665252.54
   Accommodations1,1124.706505.292728.37422.22451.205310.6600
   Suburbs/hill8653.666915.63652593.12140.37112.2130.24
   Hospital3011.271170.9510.03100.531554.1520.400
   Other7293.08780.64331.02251.3230.0861.2157646.41
Drinking status<0.0001
   Drinker6,61927.993,23426.341,43544.1857030.1166917.8921543.2629223.53
    Non-drinker7,66632.423,94332.1167320.7264434.021,67044.6614829.7828122.64
   Unknown9,36339.595,10241.551,14035.167935.871,40037.4413426.9666853.83
Joint suicide<0.0001
   Yes3271.38280.232517.73180.95130.3510.2100.81
   No23,22098.1912,23799.662,99692.241,87398.943,72699.6549599.61,14892.51
   Unknown1010.43140.1110.0320.110010.2836.69
Homicide-suicide<0.0001
   Yes920.39410.3340.12110.58130.3510.240.32
   No23,28698.4712,11698.673,19798.431,86198.313,71099.2249198.791,18395.33
   Unknown2701.141220.99471.45211.11160.4351.01544.35
Suicide note<0.0001
   Yes8,57636.274,62637.671,80455.5439921.0892324.6923547.2834027.4
   No12,70653.736,48652.821,23638.051,23965.452,37263.4421843.8674860.27
   Unknown2,36610.011,1679.52086.425513.4744411.87448.8515312.33
Major cause of suicide<0.0001
   Occupational1,0804.576004.891494.59281.481794.7951.01937.49
   Economic4,41018.652,41919.71,20737.161528.032717.255110.2622418.05
   Family-related2,50010.571,44311.753079.4525913.682767.38489.66997.98
   Interpersonal1,1544.886395.22056.31452.381483.96163.22655.24
   Physical health4,23517.912,29818.712337.1767735.7667217.977615.291209.67
   Mental health9,01838.134,26534.7393828.8866134.922,03754.4828256.7451141.18
   Other3971.681931.57762.34211.11581.5520.4312.5
   Unknown8543.614223.441334.09502.64982.62173.42987.9

Demographic and suicide characteristics of people who died by suicide.

Suicide characteristics also differed according to the method of suicide. More than half of the subjects who died in hospitals (51.5%) had selected jumping as the method. The status of drinking alcohol at the time of death was a common factor in a significant percentage of subjects who died by gas poisoning (44.2%) and in subjects who died by drug poisoning (43.3%). In the case of suicide by gas poisoning, the percentage of those who consumed alcohol (44.2%) was more than twice the percentage of those who did not drink at the time of death (20.7%). Of people who elected joint suicide, 76.8% died by gas poisoning. Of people who died by gas poisoning, 55.5% wrote suicide notes before death. In 54.5 and 56.7% of people who died by jumping and by drug poisoning, respectively, the major cause of suicide was mental health problems.

Psychiatric Characteristics of People Who Died by Suicide

Table 2 shows the psychiatric characteristics of people who died by suicide. Among 23,648 subjects, 84.0% had psychiatric symptoms and 68.3% had symptoms of depression. Psychiatric symptoms were present in 94.8 and 90.3% of people who died by drug poisoning and by jumping, respectively. Of subjects with psychosis, 43.9% died by jumping. Among the subjects who died by drug poisoning, 36.6% had insomnia, with this psychiatric symptom having the highest proportion in this group compared to those who died by other methods of suicide (Figure 1). Having a known history of psychiatric diagnosis was more frequent among subjects in the jumping group (50.1%) and in the drug poisoning group (64.0%), with 50.4 and 62.8% of the subjects having a history of psychiatric treatment, respectively. In these two groups, the most common psychiatric diagnosis was depressive disorders. 28.48 and 37.83% of subjects in the jumping group and the drug poisoning group, respectively, had been diagnosed with depressive disorders. Among the people diagnosed with schizophrenia, 49.51% died by jumping. Among the subjects in the drug poisoning group, there were more people with a history of attempted suicide (27.6%) than those without (18.9%).

Table 2

Total people who died by suicide (n=23,648)Method of suicide
Hanging (n=12,279)Gas poisoning (n=3,248)Pesticide poisoning (n=1,893)Jumping (n=3,739)Drug poisoning (n=497)Drowning (n=1,241)p
N%N%N%N%N%N%N%
Presence of psychiatric symptoms<0.0001
   Yes19,87284.0310,26183.572,60780.261,57483.153,37790.3247194.7795677.03
   No6742.853783.08662.03452.38912.4330.6725.8
   Unknown3,10213.121,64013.3657517.727414.472717.25234.6321317.16
Psychiatric symptoms
   Psychosis1,4956.324363.55692.12764.0165617.54499.8613510.88<0.0001
   Mania/hypomania5312.252291.86551.69170.901514.04295.84322.58<0.0001
   Depression16,15468.318,53469.502,10564.811,23565.242,71672.6438978.2770056.41<0.0001
   Anxiety4,17317.652,19617.8856917.521658.7285722.9210521.1315312.33<0.0001
   Insomnia2,98512.621,43911.723099.511759.2464817.3318236.621149.19<0.0001
   Cognitive impairment/behavioral problem9784.144163.39170.521899.982647.06173.42443.55<0.0001
   Alcohol overuse or misuse3,18513.471,76214.3536611.2735218.593519.3911523.141219.75<0.0001
   Overuse or misuse of other substances2991.261621.32431.32170.90401.07153.02181.450.0125
   Behavioral addiction7633.233943.212046.28191.00661.77122.41493.95<0.0001
   Pediatric psychiatric symptoms820.35210.1750.1530.16401.0710.2100.81<0.0001
History of psychiatric diagnosis<0.0001
   Yes7,39231.263,32127.0565120.0451927.421,87450.1231863.9843434.97
   No6,18526.153,46328.2088327.1947525.0979521.265511.0734127.48
   Unknown10,07142.595,49544.751,71452.7789947.491,07028.6212424.9546637.55
Psychiatric diagnosis
   Schizophrenia7193.041631.33210.65341.803569.52265.23846.77<0.0001
   Bipolar disorder4011.701601.3300.92150.791333.56244.83282.260.0004
   Depressive disorders4,53819.192,18217.7741312.7229715.691,06528.4818837.8323518.94<0.0001
   Anxiety disorders6602.793052.48601.85271.431774.73357.04292.340.0127
   Adjustment disorder600.25280.2360.1800.00150.420.450.40.2208
   Somatic symptom disorder340.14150.1230.0930.16100.2720.410.080.9366
   Sleep disorders8483.594003.26912.8603.171774.735410.87332.66<0.0001
   Neurocognitive disorders5182.192101.7150.151055.551433.8281.61292.34<0.0001
   Alcohol use disorders7333.103512.86641.97663.491373.66438.65342.74<0.0001
   Other substance-related disorders120.0580.0700.0000.0020.0500000.7444
   Behavioral addiction140.0630.0260.1800.0040.110010.080.0075
   Pediatric psychiatric disorder320.1460.0520.0620.11210.560010.080.0001
   Other2060.87830.68150.4690.48762.0361.21120.970.014
History of psychiatric treatment<0.0001
   Yes7,33331.013,27926.764419.8349626.21,88650.4431262.7844035.46
   No6,27826.553,51828.6589627.5948125.4181121.695511.0733727.16
   Unknown10,03742.445,48244.651,70852.5991648.391,04227.8713026.1646437.39
Psychiatric treatment
   Outpatient clinic5,93125.082,61721.3149315.1837719.921,61343.1425751.7134928.120.3185
   Admission2,0468.657456.071243.821095.7672519.398016.115512.49<0.0001
   Treatment in other departments2951.251401.14150.46221.16822.19193.8270.560.0101
   Counseling center1420.60640.52170.5220.11350.9440.8181.450.0016
   Other600.25290.2450.1530.16170.4520.430.240.9991
Previous suicide attempt<0.0001
   Yes3,98616.861,95215.9061018.7821111.1571319.0713727.5720716.68
   No6,22126.313,22426.2676623.5854528.791,07528.759418.9133827.24
   Unknown13,44156.847,10357.851,87257.641,13760.061,95152.1826653.5269656.08
Previous self-injury<0.0001
   Yes9033.824513.67993.05170.91925.14306.04554.43
   No7,03929.773,60729.3893728.8558630.961,20332.1712525.1536929.73
   Unknown15,70666.428,22166.952,21268.11,29068.152,34462.6934268.8181765.83

Psychiatric characteristics of people who died by suicide.

Figure 1

Adjusted Odds Ratios of Potential Risk Factors for Each Method of Suicide

Table 3 shows adjusted odds ratios of potential risk factors for each method of suicide in comparison to other methods of suicide. Regarding hanging, in comparison to subjects aged 19–34 years, being 18 years of age or younger (OR 0.49, 95% CI: 0.33–0.71) and having schizophrenia (OR 0.38, 95% CI: 0.30–0.47) were protective factors. Being 35–49 years of age (OR 1.43, 95% CI: 1.27–1.61), 50–64 years of age (OR 1.60, 95% CI: 1.41–1.81), and 65 years of age or older (OR 1.50, 95% CI: 1.31–1.72) were risk factors for suicide by hanging in comparison to being 19–34 years of age. Regarding gas poisoning, being 65 years of age or older (OR 0.19, 95% CI: 0.15–0.24) was a protective factor, while having previously attempted suicide was a risk factor (OR 1.62, 95% CI: 1.33–1.98). Compared to being 19–34 years of age, being 35 years of age or older showed a strong association with pesticide poisoning. Odds ratios for subjects in age groups of 35–49, 50–64, and 65 years or older were 2.81 (95% CI: 1.55–5.11), 10.43 (95% CI: 5.92–18.38), and 22.97 (95% CI: 12.97–40.67), respectively. Being self-employed (OR 2.16, 95% CI: 1.76–2.66), having schizophrenia (OR 2.31, 95% CI: 1.49–3.57), and having alcohol use disorders (OR 2.63, 95% CI: 1.86–3.71) were also risk factors for suicide by pesticide poisoning. Being a housewife was a protective factor for suicide by pesticide poisoning (OR 0.48, 95% CI: 0.32–0.72). Regarding suicide by jumping, being 18 years of age or younger (OR 3.71 95% CI: 2.63–5.22) and having schizophrenia (OR 2.39, 95% CI: 1.96–2.93) were risk factors, while being self-employed was a protective factor (OR 0.46, 95% CI: 0.37–0.57). Regarding suicide by drug poisoning, alcohol use disorders (OR 2.19, 95% CI: 1.49–3.24) and psychiatric treatment in outpatient clinics (OR 2.86, 95% CI: 1.92–4.26) were risk factors, while being 65 years of age or older (OR 0.49, 95% CI: 0.31–0.77) was a protective factor. Regarding suicide by drowning, having schizophrenia (OR 1.69, 95% CI: 1.21–2.36) was a risk factor and being 65 years of age or older (OR 0.32, 95% CI: 0.24–0.42) was a protective factor.

Table 3

Hanging (n = 12,279)Gas poisoning (n = 3,248)Pesticide poisoning (n = 1,893)Jumping n = 3,739)Drug poisoning (n = 497)Drowning (n = 1,241)
OR (95% CI)OR (95% CI)OR (95% CI)OR (95% CI)OR (95% CI)OR (95% CI)
Female sex0.91 (0.84–0.99)*0.63 (0.54–0.73)***1.50 (1.28–1.77)***1.40 (1.26–1.56)***1.74 (1.35–2.25)***0.59 (0.49–0.72)***
Age (years)
    ≤ 180.49 (0.33–0.71)***0.32 (0.16–0.64)**0.00 (<0.01–>999.99)3.71 (2.63–5.22)***0.00 (<0.01–>999.99)0.94 (0.58–1.52)
   19–34ReferenceReferenceReferenceReferenceReferenceReference
   35–491.43 (1.27–1.61)***1.04 (0.89–1.21)2.81 (1.55–5.11)***0.62 (0.54–0.72)***1.18 (0.84–1.68)0.50 (0.40–0.63)***
   50–641.60 (1.41–1.81)***0.53 (0.44–0.63)***10.43 (5.92–18.38)***0.63 (0.53–0.73)***0.91 (0.63–1.33)0.42 (0.33–0.54)***
   ≥651.50 (1.31–1.72)***0.19 (0.15–0.24)***22.97 (12.97–40.67)***0.75 (0.63–0.89)**0.49 (0.31–0.77)**0.32 (0.24–0.42)***
Employment status
   Employed1.18 (1.06–1.31)**1.03 (0.89–1.20)0.89 (0.67–1.19)0.82 (0.70–0.94)**0.86 (0.61–1.22)0.75 (0.60–0.93)*
   Self-employed1.26 (1.11–1.43)***1.11 (0.92–1.33)2.16 (1.76–2.66)***0.46 (0.37–0.57)***0.59 (0.35–0.97)*0.38 (0.26–0.55)***
   Student0.71 (0.55–0.92)**0.62 (0.43–0.90)*0.49 (0.06–3.71)1.47 (1.13–1.90)**0.61 (0.24–1.56)1.42 (1.01–2.01)*
   Housewife1.36 (1.15–1.60)***0.51 (0.36–0.73)***0.48 (0.32–0.72)***1.14 (0.94–1.38)0.51 (0.31–0.85)**0.80 (0.52–1.23)
   UnemployedReferenceReferenceReferenceReferenceReferenceReference
   Other0.91 (0.77–1.07)1.34 (1.04–1.69)*1.19 (0.84–1.70)0.71 (0.56–0.89)**1.79 (1.21–2.64)**1.20 (0.87–1.64)
Physical illness0.99 (0.90–1.09)0.74 (0.63–0.87)***1.28 (1.05–1.56)*1.02 (0.89–1.16)1.58 (1.16–2.16)**0.92 (0.73–1.14)
Psychiatric diagnosis
   Schizophrenia0.38 (0.30–0.47)***0.25 (0.15–0.41)***2.31 (1.49–3.57)***2.39 (1.96–2.93)***1.02 (0.63–1.65)1.69 (1.21–2.36)**
   Bipolar disorder0.94 (0.75–1.18)0.81 (0.53–1.22)1.06 (0.61–1.86)1.12 (0.88–1.42)1.50 (0.94–2.38)0.96 (0.63–1.47)
   Depressive disorders1.04 (0.91–1.19)1.06 (0.82–1.36)1.00 (0.78–1.29)0.97 (0.84–1.13)0.99 (0.71–1.37)1.01 (0.78–1.32)
   Anxiety disorders0.98 (0.83–1.17)0.85 (0.62–1.16)0.74 (0.48–1.14)1.17 (0.96–1.42)1.14 (0.77–1.69)0.76 (0.51–1.14)
   Sleep disorders0.87 (0.74–1.02)1.31 (1.00–1.72)0.99 (0.72–1.36)0.98 (0.81–1.19)1.59 (1.13–2.26)**0.86 (0.58–1.28)
   Neurocognitive disorders0.71 (0.57–0.88)**0.23 (0.07–0.72)*1.67 (1.24–2.24)**1.23 (0.96–1.58)0.70 (0.33–1.50)1.46 (0.90–2.39)
   Alcohol use disorders1.03 (0.86–1.24)0.91 (0.66–1.26)2.63 (1.86–3.71)***0.73 (0.59–0.92)**2.19 (1.49–3.24)***0.71 (0.47–1.07)
Psychiatric treatment
   Outpatient clinic0.77 (0.67–0.89)***0.75 (0.58–0.97)*0.76 (0.58–1.00)1.79 (1.52–2.11)***2.86 (1.92–4.26)***0.99 (0.75–1.31)
   Admission0.70 (0.61–0.80)***0.62 (0.48–0.80)***0.63 (0.47–0.85)**1.92 (1.66–2.22)***0.83 (0.59–1.15)1.20 (0.93–1.56)
   Other0.98 (0.79–1.22)0.79 (0.52–1.21)0.56 (0.34–0.90)*1.32 (1.02–1.70)*1.63 (0.97–2.73)1.12 (0.71–1.74)
Previous suicide attempt0.97 (0.85–1.11)1.62 (1.33–1.98)***0.71 (0.54–0.94)*0.75 (0.63–0.89)**1.43 (0.96–2.14)0.93 (0.70–1.24)
Previous self–injury1.24 (1.01–1.52)*0.55 (0.39–0.77)**0.65 (0.36–1.20)0.96 (0.75–1.24)0.90 (0.52–1.58)0.92 (0.61–1.41)

Adjusted odds ratios of potential risk factors for each method of suicide.

*

p < 0.05,

**

p < 0.01,

***

p < 0.001.

Table 4 presents the risk factors of each method of suicide in a descending order of ORs and protective factors of each method in an ascending order of ORs. Being 35 years of age or older, having alcohol use disorders, having schizophrenia, and being self-employed were strong risk factors for suicide by pesticide poisoning. Being 18 years of age or younger and having schizophrenia were strong risk factors for suicide by jumping. Treatment in psychiatric outpatient clinics and alcohol use disorders were strong risk factors for suicide by drug poisoning.

Table 4

HangingGas poisoningPesticide poisoningJumpingDrug poisoningDrowning
FactorORFactorORFactorORFactorORFactorORFactorOR
Risk factorsAge 50–64 years1.60Previous suicide attempt1.62Age ≥ 65 years22.97Age ≤ 18 years3.71Psychiatric outpatient clinic2.86Schizophrenia1.69
Age ≥ 65 years1.50Age 50–64 years10.43Schizophrenia2.39Alcohol use disorders2.19Student1.42
Age 35–49 years1.43Age 35–49 years2.81Admission to psychiatry1.92Female sex1.74
Housewife1.36Alcohol use disorders2.63Psychiatric outpatient clinic1.79Sleep disorders1.59
Self-employed1.26Schizophrenia2.31Student1.47Physical illness1.58
Previous self-injury1.24Self-employed2.16Female sex1.40
Employed1.18Neurocognitive disorders1.67
Female sex1.50
Protective factorsSchizophrenia0.38Age ≥ 65 years0.19Housewife0.48Self-employed0.46Age ≥ 65 years0.49Age ≥ 65 years0.32
Age ≤ 18 years0.49Neurocognitive disorders0.23Admission to psychiatry0.63Age 35–49 years0.62Housewife0.51Self-employed0.38
Admission to psychiatry0.70Schizophrenia0.25Previous suicide attempt0.71Age 50–64 years0.63Self-employed0.59Age 50–64 years0.42
Student0.71Age ≤ 18 years0.32Alcohol use disorders0.73Age 35–49 years0.50
Neurocognitive disorders0.71Housewife0.51Age ≥ 65 years0.75Female sex0.59
Psychiatric outpatient clinic0.77Age 50–64 years0.53Previous suicide attempt0.75Employed0.75
Female sex0.91Student0.62Employed0.82
Admission to psychiatry0.62
Female sex0.63
Physical illness0.74
Psychiatric outpatient clinic0.75
Previous self-injury0.55

Risk factors and protective factors for each method of suicide based on multivariate logistic regressiona.

a

Factors have significance at p > 0.05; detailed statistical measures of each factor are listed in Table 3.

Discussion

This study demonstrated that more than half of people who died by suicide chose hanging as the method of suicide. Strong risk factors for pesticide poisoning were being 35 years of age or older, having alcohol use disorders, having schizophrenia, and being self-employed. In comparison to people who died by other methods of suicide, people who died by jumping were more likely to be 18 years of age or younger and to have been diagnosed with schizophrenia. People who died by drug poisoning were more likely to have a history of treatment in psychiatric outpatient clinics and have alcohol use disorders.

A previous study based on the Korean national data showed that 5.7% of people who attempted suicide used hanging as the method of suicide (22). In the current study's sample of people who died by suicide, hanging was the most common method of suicide. This difference in findings can be attributed to the high fatality of hanging. In our study, even though the associations between suicide risk factors and hanging were not very strong, a previous history of self-injury (one strong risk factor of suicide due to hanging) had clinical significance as an important risk factor, demanding assessments in clinical settings.

The second most common suicide method was jumping. Compared to other suicide methods, people who died by jumping were more likely to be younger and had been diagnosed with schizophrenia. Considering that about half of teenagers and subjects diagnosed with schizophrenia died by jumping, clinicians should be aware of the risk of jumping in these populations. Also, with the risk of suicide being high in this population, strategies to reduce accessibility to jumping may be necessary to prevent suicide.

Pesticide poisoning accounted for 8% of suicide deaths herein. The main finding is that pesticide poisoning cases were primarily concentrated in the elderly. Although the risk of pesticide poisoning increased for people as early as age 35, the risk increased abruptly in the group of people aged 65 years or older, with the risk in this group being about 23 times the risk in people aged 19–34 years. Moreover, having been diagnosed with schizophrenia and alcohol use disorders were strong risk factors for suicide by pesticide poisoning. Therefore, physicians should be aware of the risk of suicide by pesticide poisoning in people with these disorders and in the elderly and should evaluate at-risk people's access to pesticides (including uses for work).

Drug poisoning accounted for 2% of suicide deaths among the subjects herein. In a previous study of people who attempted suicide in South Korea, drug poisoning was the most common method, accounting for 53.7% of all suicide attempts (22). The low lethality of drug poisoning may explain such difference. In assessing the characteristics of the people who died by drug poisoning, females accounted for 48%, the highest proportion among all methods of suicide. Subjects who died by drug poisoning were more likely to have physical illnesses and psychiatric symptoms. Among comorbid psychiatric symptoms (while depression was the most common symptom), insomnia showed a large proportion in those who died by drug poisoning compared to other methods of suicide. Treatment in psychiatric outpatient clinics was a strong risk factor for suicide by drug poisoning. This result is consistent with the findings of previous studies. A cross-sectional study conducted in Japan showed that poisoning by prescription drugs was used more frequently for suicide in people who saw a psychiatrist than in people who did not see a psychiatrist (23). These findings, however, should be interpreted with caution. Physicians and psychiatrists should not undertreat patients with psychiatric symptoms due to fear of patients dying by suicide using prescribed drugs. According to our results, 96% of the subjects with a history of treatment in psychiatric outpatient clinics died by suicide methods other than drug poisoning. Moreover, depression and insomnia are independent risk factors for suicide (2428). Therefore, for psychiatric patients with a high risk of suicide, active intervention for symptoms, short intervals of prescription drug use, and regular evaluations of suicide risk stand to be more helpful for the prevention of suicide rather than limiting the prescription of drugs.

As mentioned above, there are significant differences in the proportions of methods for suicide and suicide attempt. Although suicide attempts and completed suicide are different phenomena, the history of a suicide attempt is one of the strongest predictors for completed suicide (29) and about 10–15% of those who attempt suicide eventually die by suicide (30). It is not well-known whether suicide attempters use the same methods when they subsequently die by suicide. However, a cohort study showed that although suicide attempters are likely to choose the same method, they will select a more lethal method when they change the method of suicide (31). Moreover, a psychological autopsy study reported that the majority of the suicide attempters switched to a different method for their final act that led to the death and this suggests that people who have attempted suicide are likely to change from previous methods with low lethality to those with high lethality (32). These imply that a person who survives after a suicide attempt by a method of low lethality should be considered at high risk for a subsequent fatal suicide attempt, and appropriate intervention should be taken to prevent suicide death.

In the results, about 70% of suicide victims were male, which is consistent with the results of previous psychological autopsy studies (32, 33). This difference in sex may be related to the tendency of men to choose more violent and fatal methods when attempting suicide (34). According to a previous study, about 62% of men died by suicide at their first attempt compared to 38% in women (33). It is not clear why men choose the methods with high lethality, but there has been a wide range of explanations, including the stronger intent to die (35), being less avoidant for disfiguring wounds (36) and biological factors such as lower brain serotonin level (37).

The strength of this study is the identification of demographic and clinical risk factors for methods of suicide using a large sample of examinations based on police reports conducted according to a validated and systematic protocol. Nevertheless, this study has several limitations. First, because this study is conducted using the populations of eight regions (out of a total of 17 regions) in South Korea, it is difficult to apply the results directly to other regions or countries or to generalize findings. Trends in suicide methods may change due to the accessibility to materials and sociocultural environments, which vary with regions and time. However, our results on risk factors for methods of suicide are generally consistent with the findings of previous studies conducted in various regions and countries. This suggests that specific characteristics are shared in the process of selecting a method of suicide, suicidal intent, acceptability of a suicide method, and psychosocial factors pertaining to access to certain materials and/or methods of suicide. Second, in this study, “methods of suicide” were recorded as the direct cause of death when a person used two or more methods for suicide. In addition, when two or more direct causes of death existed, the method with the higher fatality was recorded as the method of suicide. For example, when a person died by hanging after overdosing on drugs, per the KNIGHTS study protocol, the method of suicide was recorded as hanging. Therefore, it is possible that when two or more methods were used for suicide, methods with lower fatality were underestimated. Third, several important confounders that could affect the methods of suicide were not included in the analyses because data source does not include them or they were categorized into non-disclosure variables. For example, although several personal factors including level of education (18) and religious belief (38) are known to affect the selection of suicide method, we were not able to use them in the analyses. In addition, although the data of the KNIGHTS study included information on whether a suicide victim had attempted suicide before the suicide death, the information on the method of previous suicide attempts was not included.

The possibility of a switch to another suicide method should be considered in strategies for suicide prevention by predicting and intervening in the method of suicide. A controlled trial conducted in Hong Kong demonstrated that limiting retail access to charcoal has efficacy in preventing suicide by charcoal burning. Moreover, the overall suicide rate decreased with limited retail access to charcoal (27). This suggests that limiting access to materials used in specific suicide methods does not lead potential victims to immediately switch to alternative methods of suicide. When access channels to materials that can be used in suicide are clear and when intervention is possible—as in the case of charcoal—it is necessary to limit access to the purchasing of materials intended for suicide. For example, the removal of all charcoal packs from open shelves in major retail outlets, following the Hong Kong study, stands to be efficacious not only for a reduction in suicides using gas poisoning but also for the overall prevention of suicides by all methods.

In conclusion, there are differences in demographic and clinical risk factors according to methods of suicide. Strong risk factors for differing methods of suicide include being elderly for pesticide poisoning, being a teenager and having schizophrenia for jumping, and having treatment history in psychiatric clinics for drug poisoning. Predicting methods of suicide in people at high risk for suicide through evaluation in the accessibility related to individual socio-environmental factors and acceptability is may be an important and efficacious strategy for suicide prevention in clinical settings.

Statements

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found at: https://data.psyauto.or.kr.

Ethics statement

The studies involving human participants were reviewed and approved by Institutional Review Board of Samsung Medical Center. Written informed consent from the participants' legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

HK contributed to the search for background literature, to writing the original draft of the manuscript, to reviewing, and to editing the subsequent manuscript revisions. GL and JC collected data. YK and M-HS contributed to formal analysis. HJ contributed to conceptualization, project administration, and supervision. All authors contributed to writing and editing the manuscript.

Funding

This study was mainly supported by the Interagency Committees of the Korean National Government (Suicide Prevention Action Plans in 2018: 1-1 the Korean National Investigations of 70,000 Suicide Victims Through Police Records). This study was also supported by Development of screening tools for high suicide risk group and evaluation tools of severity of suicide risk, and validation of their effectiveness (HL19C0001), funded by the Ministry of Health and Welfare, and by SMC-SKKU Future Convergence Program. This study was conducted by the research and analysis team (Minha Gwak, MiHwa Kim, Sunghun Kim, KeunHue Sung, Deukkweon You, Jeongyoon Lee, Seona Lee, Daeun Lee, Soonju Lee, Eunjeong Cho, and Hyein Hong) and investigators at the Korea Psychological Autopsy Center (KPAC) (Director: HJ). The KPAC is operated by the Research & Business Foundation of Sungkyunkwan University on commission of the Korea Ministry of Health and Welfare from January 2016.

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.

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Summary

Keywords

method of suicide, suicide method, risk factor, suicide, suicide victims

Citation

Kim H, Kim Y, Lee G, Choi JH, Yook V, Shin M-H and Jeon HJ (2021) Predictive Factors Associated With Methods of Suicide: The Korean National Investigations of Suicide Victims (The KNIGHTS Study). Front. Psychiatry 12:651327. doi: 10.3389/fpsyt.2021.651327

Received

04 February 2021

Accepted

13 April 2021

Published

12 May 2021

Volume

12 - 2021

Edited by

Xenia Gonda, Semmelweis University, Hungary

Reviewed by

Miao Qu, Medical University, China; Ioannis Michopoulos, National and Kapodistrian University of Athens, Greece

Updates

Copyright

*Correspondence: Hong Jin Jeon

This article was submitted to Mood and Anxiety Disorders, a section of the journal Frontiers in Psychiatry

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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