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HOME > Ann Occup Environ Med > Volume 28; 2016 > Article
Research Article Factors associated with suicide ideation among subway drivers in Korea
Junsu Byun1, Hyoung-Ryoul Kim1, Hye-Eun Lee1, Se-Eun Kim2, Jongin Lee3orcid
Annals of Occupational and Environmental Medicine 2016;28:31.
DOI: https://doi.org/10.1186/s40557-016-0120-5
Published online: August 2, 2016

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• Received: March 14, 2016   • Accepted: July 26, 2016

© The Author(s). 2016

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  • Background
    There were several suicide events of subway drivers in Korea. The aim of this study is to explore work-related factors associated with suicide ideation among subway drivers.
  • Methods
    We analyzed data from 980 male subway drivers. A section of the Korean version of the Composite International Diagnostic Interview (K-CIDI 2.1) was administered by trained interviewers to judge whether a driver has suicide ideation and to diagnose psychiatric disorders. A questionnaire was also administered to collect data on sociodemographic characteristics, work environments, occupational stress, person under train (PUT) experience, and work-related problems. Occupational stress was examined by using the Korean Occupational Stress Scale (KOSS). Logistic regression was applied to evaluate the association between work-related factors and suicide ideation among subway drivers.
  • Results
    Regarding work-related problems, conflict with passengers and sudden stops due to the emergency bell were significantly associated with suicide ideation. MDD, PTSD, and panic disorder were strongly associated with suicide ideation. In the analysis of occupational stress, insufficient job control (OR 2.34) and lack of reward (OR 2.52) were associated with suicide ideation even after being adjusted for psychiatric disorders and other work-related factors.
  • Conclusions
    Insufficient job control and lack of reward were associated with suicide ideation among subway drivers. Strategies for drivers to have autonomy while working and to achieve effort-reward balance should be implemented. Furthermore, drivers who have experienced negative work-related problems should be managed appropriately.
  • Keywords:

    Keywords

    Suicide; Suicide ideation; Subway drivers; Occupational stress
Subway drivers are one of the most vulnerable working groups for psychiatric injury or trauma [1]. Psychiatric problems may arise from the experience of an incident of death or severe injury during their driving [2]. The person under train (PUT) incident is a well-known negative experience encountered by drivers, and this is neither evitable nor preventable by a driver himself [3]. Many studies have shown a strong relationship between post-traumatic stress disorder (PTSD) symptoms and PUT experience in subway drivers [1, 3–5]. Besides PTSD symptoms and other psychiatric problems—depression, anxiety, and panic symptoms—are also prevalent among subway drivers [4, 6, 7].
This study has a background of suicide events among subway drivers who worked in a company in Seoul. Nine subway drivers have committed suicide since 2003. To evaluate preventable risk factors for suicide, a workers’ union and the Ministry of Labor recommended conducting an epidemiological survey. Therefore, an epidemiological survey was performed to examine whether PUT experience was related to suicide in subway drivers and to measure its effect on the mental health of subway drivers in 2007 [4]. Subsequently, the researchers made some recommendations for subway drivers who experienced PUT. One was installing platform screen doors, which have been installed in all subway stations run by the company. By installing them, the number of PUT events has decreased dramatically. However, after installing platform screen doors, suicide events of subway drivers still occurred. Especially, the consecutive deaths of drivers between 2012 and 2013 motivated this study. To investigate why subway drivers continue to commit suicide, an epidemiological survey was performed in 2013.
The survey consisted of several steps. First, we surveyed all the subway drivers of the company to collect data of basic demographic statistics, mental health status, and occupational environments. Drivers classified with suicide ideation or any psychiatric disorders were interviewed in depth or referred to psychiatry specialists for treatment. A qualitative study for interviewing some drivers was also done. By analyzing and assessing the relationship between mental health status of subway drivers and occupational environments, we proposed countermeasures to prevent subway drivers’ suicide. This study is a part of the survey; analysis of the mental health status of subway drivers and occupational factors, focusing on suicide ideation and contributing events. Information of other analyses in the same survey are available elsewhere [5]. The aim of this study is to investigate which work-related factors or stress could have effect on suicide ideation.
Study subjects
We examined subway drivers who were employed in a public subway company in Seoul. Of all the 998 drivers in the company, 995 participated in this study. We excluded data of 15 female drivers and analyzed data from only 980 male drivers because we expected gender difference of suicide ideation [8] and all cases of suicide were male. This study was approved by the Institutional Review Board of Seoul St. Mary’s Hospital (IRB No. KC13QNSI0168). All study subjects submitted informed consent and all the data were used after encryption.
Survey questionnaire
All participants were requested to complete a questionnaire, which included questions on demographic information (age, working duration, level of education, and smoking status) and experiences of work-related problems, as well as the Korean Occupational Stress Scale (KOSS).
The KOSS was developed to measure occupational stress in the working population in Korea, and it consists of subscales of eight domains: physical environment, job demand, insufficient job control, interpersonal conflict, job insecurity, organizational system, lack of reward, and occupational climate. It represented high validity by high correlation with Job Content Questionnaire (JCQ), short form of Psychosocial Wellbeing Index (PWI-SF), and Mental Fatigue Scale (MFS) [9]. The KOSS yields scores from four-point Likert scales of each question by domains. We divided the participants into high- and low-occupational stress groups depending on those they scored above or below the median domain value. Cronbach’s alpha used to evaluate the internal reliability of the subscale was 0.512–0.822.
Demographical and socioeconomic characteristics of participants were investigated by the survey questionnaire; major questions included information about satisfaction with economic status, experience of visiting a medical doctor’s office, sleeping well, and exact sleeping time. The selected questions were the same with the previous study in 2007 [4]. To investigate work-related problems, we asked about experience of conflict with passengers, sudden stops due to the emergency bell, near accidents, breakdowns, and observing the PUT experience of colleagues within one year of their work. We also inquired their personal experience of PUT since they had started working.
Suicide ideation
We used the Korean version of the Composite International Diagnostic Interview (K-CIDI 2.1) in the survey [10]. The CIDI is a fully standardized, structured interview designed to make psychiatric diagnosis using the Diagnostic and Statistical Manual of Mental Disorders 4th edition (DSM-IV) [11, 12]. The K-CIDI was validated according to the World Health Organization guideline [13]. The drivers were structurally interviewed by well-trained nine nurses. Section S of the K-CIDI pertains to suicide ideation. Participants were assigned to the suicide ideation group (SIG) if they reported having seriously considered committing suicide in the past year. Others were assigned to the non-SIG (NSIG).
Diagnosis of psychiatric disorders
The K-CIDI is designed to diagnose the 1-year and lifetime prevalence rates of psychiatric diseases, and is based on DSM-IV. All diagnoses were made by diagnostic questionnaires of K-CIDI. We obtained prevalence data for major depressive disorder (MDD), PTSD, general anxiety disorder (GAD), and panic disorder.
Data analysis
All subjects were divided into two groups on the basis of suicide ideation. We used a chi-square test to show the differences of demographic characteristics, occupational experiences, and occupational stress between SIG and NSIG. Logistic regression was used to show the association by the prevalence of psychiatric disorders, the KOSS subscales, and work-related experiences.
We proposed two models. First, we calculated odd ratios (ORs) by each single variable of prevalence rates of psychiatric disorders, KOSS subscales, and work-related problems. Next we proposed the final model that contained all the variables we determined above to adjust confounding variables statistically.
All statistical analyses were performed using R 3.1.3.
Differences individual characteristics between the NSIG and SIG are shown in Table 1. The factors with the strongest differences were marital status and sleep. Divorced, separated, or bereaved drivers showed the proportion of suicide ideation the most highly while married drivers the opposite. The proportion of SIG was the lowest among those sleeping for 7 to 8 h (1.7 %) and reporting satisfying sleep (2.1 %). There was no difference in by working duration, level of education, smoking status, economic satisfaction, and experience of visiting a doctor’s office.
Table 1
Individual characteristics and suicide ideation
Variables NSIG (%) SIG (%) p-value
N = 947 N = 33
Working duration (years) <5 94 (97.9) 2 (2.1) 0.339
5–10 183 (94.8) 10 (5.2)
10–20 559 (92.2) 16 (2.8)
≥20 111 (95.7) 5 (4.3)
Level of education High school 173 (97.2) 5 (2.8) 0.209
Junior college 293 (95.1) 15 (4.9)
Above college 481 (97.4) 13 (2.6)
Marital status Unmarried 113 (94.2) 7 (5.8) <0.001
Married 815 (97.4) 22 (2.6)
Divorced/separated/bereaved 19 (82.6) 4 (17.4)
Smoking status Current smoker 306 (95.0) 16 (5.0) 0.150
Former smoker 311 (97.5) 8 (2.5)
Never smoker 330 (97.3) 9 (2.7)
Visiting a doctor’s office Yes 455 (95.6) 20 (4.4) 0.214
No 492 (97.4) 13 (2.6)
Sleeping time (hours) <7 404 (94.6) 22 (5.4) 0.020
7–8 353 (98.3) 6 (1.7)
≥8 190 (97.4) 5 (2.6)
Sleeping well Yes 662 (97.9) 14 (2.1) 0.002
No 285 (93.3) 19 (6.7)
Economic satisfaction Satisfactory 84 (97.7) 2 (2.3) 0.837
Ordinary 461 (96.6) 16 (3.4)
Dissatisfactory 402 (96.4) 15 (3.6)
NSIG non suicide ideation group, SIG suicide ideation group
Regarding work-related problems, experiences of conflict with passengers and sudden stops due to the emergency bell were significantly different between the two groups. In particular, neither one’s own nor a colleague’s PUT experience showed any difference between the two groups (Table 2).
Table 2
Experiences of work-related problems and suicide ideation
Variables NSIG (%) SIG (%) p-value
N = 947 N = 33
Person under train (PUT) Yes 302 (96.2) 12 (3.8) 0.725
No 645 (96.8) 21 (3.2)
Conflict with passengers Yes 246 (94.3) 15 (5.7) 0.022
No 701 (97.5) 18 (2.5)
Sudden stop due to the emergency bell Yes 600 (95.4) 29 (4.6) 0.007
No 347 (98.9) 4 (1.1)
Near accident Yes 404 (95.7) 18 (4.3) 0.239
No 543 (97.3) 15 (2.7)
Breakdown Yes 125 (99.2) 1 (0.8) 0.147
No 822 (96.3) 32 (3.7)
Colleague’s PUT experience Yes 199 (94.8) 11 (5.2) 0.139
No 748 (97.1) 22 (2.9)
NSIG non-suicide ideation group, SIG suicide ideation group, PUT person under train
Most KOSS subscales except job insecurity, physical environment, and organizational system were significantly different between the two groups (Table 3).
Table 3
Occupational stress and suicide ideation
Variables Score NSIG (%) SIG (%) p-value
N = 947 N = 33
Physical environment Low 481 (97.8) 11 (2.2) 0.073
High 466 (95.5) 22 (4.5)
Job demand Low 588 (98.0) 12 (2.0) 0.005
High 359 (94.5) 21 (5.5)
Insufficient job control Low 734 (97.6) 18 (2.4) 0.004
High 213 (93.4) 15 (6.6)
Interpersonal conflict Low 378 (98.4) 6 (1.6) 0.020
High 569 (95.5) 27 (4.5)
Job insecurity Low 63 (96.9) 2 (3.1) 1.000
High 884 (96.6) 31 (3.4)
Organizational system Low 317 (97.8) 7 (2.2) 0.199
High 630 (96.0) 26 (4.0)
Lack of reward Low 586 (98.2) 11 (1.8) 0.002
High 361 (94.3) 22 (5.7)
Occupational climate Low 605 (97.7) 14 (2.3) 0.020
High 342 (94.7) 19 (5.3)
NSIG non suicide ideation group, SIG suicide ideation group
Psychiatric disorders were strongly associated with suicide ideation (Table 4). MDD, PTSD and panic disorder showed high ORs for suicide ideation. GAD also had a high OR for suicide ideation but it was not statistically significant. Both the 1-year and lifetime prevalence rates of the three psychiatric disorders (MDD, PTSD, and panic disorder) were associated with suicide ideation.
Table 4
Psychiatric disorders and suicide ideation: univariate logistic regression
Variables NSIG (%) SIG (%) Odds ratio [95 % CI]
N = 947 N = 33
1 year prevalence MDD 11 (1.2) 7 (21.2) 22.91 [7.89–63.14]
PTSD 12 (1.3) 3 (9.1) 7.79 [1.71–26.11]
Panic disorder 5 (0.5) 5 (15.2) 33.64 [8.90–127.53]
General anxiety disorder 2 (0.2) 1 (3.0) 14.77 [0.68–158.03]
Lifetime prevalence MDD 32 (3.4) 9 (27.3) 10.72 [4.42–24.30]
PTSD 24 (2.5) 4 (12.1) 5.30 [1.49–14.85]
Panic disorder 9 (1.0) 7 (21.2) 28.06 [9.40–81.28]
General anxiety disorder 5 (0.5) 1 (3.0) 5.89 [0.30–37.92]
NSIG non suicide ideation group, SIG suicide ideation group, MDD major depressive disorder, PTSD post-traumatic stress disorder
The KOSS subscales and work-related problems were associated with suicide ideation (Table 5). In an unadjusted model, variables except job insecurity and organizational system showed significant ORs.
Table 5
Effect of occupational stress and work-related problems on suicide ideation
Scale Unadjusted model Adjusted model
OR [95 % CI] OR [95 % CI]
Physical environment 2.064 [1.011–4.465] 0.990 [0.436–2.318]
Job demand 2.866 [1.415–6.075] 1.973 [0.887–4.574]
Insufficient job control 2.872 [1.405–5.792] 2.215 [1.017–4.736]
Interpersonal conflict 2.989 [1.307–8.072] 1.710 [0.705–4.787]
Job insecurity 1.105 [0.324–6.919] 1.008 [0.253–7.137]
Organizational system 1.869 [0.836–4.714] 0.835 [0.351–2.263]
Lack of reward 3.247 [1.588–7.026] 2.236 [1.021–5.153]
Occupational climate 2.401 [1.195–4.939] 1.324 [0.597–3.094]
Conflict with passengers 2.375 [1.163–4.782] 1.647 [0.742–3.631]
Sudden stop due to the emergency bell 4.193 [1.634–14.226] 3.130 [1.113–11.353]
Adjusted model: adjustment for age, marital status, MDD, PTSD, GAD, panic disorder, and above variable
The variables of age, marital status, and prevalence rates of psychiatric disorders (MDD, PTSD, GAD and panic disorder) were added in the adjusted the model because they could act as confounding factors. In the adjusted model, insufficient job control and lack of reward were significantly associated with the suicide ideation. Sudden stop due to the emergency bell was also significantly associated.
Our study suggests that drivers having experiences of work-related problems, including conflict with passengers and sudden stops due to the emergency bell, tend to have suicide ideation. Occupational stress stemming from insufficient job control and lack of reward was also associated with suicide ideation. As mentioned in the introduction, many studies have focused on the relationship between PUT experience and psychiatric problems, mainly PTSD [1, 2, 4]. It is easy to assume that people who have experienced PUT incidents could have PTSD because the PUT experience could be highly traumatic. PTSD is associated with suicidal ideation and suicide attempts [14].
However, PTSD does not fully explain the series of suicides committed by subway drivers. Generally, PTSD has a course of onset within the first three months of trauma and lasts for months or years. Typically, individuals with PTSD are more likely to have symptoms of other mental disorders (depression, panic, etc.). However, in a previous study that investigated the same population in 2007, there was a negligible or weakly significant relationship between PUT experience and depressive symptoms [4]. Another study in France revealed that psycho-behavioral disorders observed in the immediate aftermath of PUT accidents disappeared within a year [15].
Because the model explaining that suicide occurs because of PTSD after PUT accidents is incomplete, and the completion of installation of the platform screen door system in the Seoul Subway did not have the desired effects on the suicide rate of subway drivers, it is necessary to determine other factors affecting psychiatric morbidity and suicide in subway drivers. Work-related factors such as sudden stops from the emergency bell and near accidents, rather than PUT experience, had strong relationships with depressive symptoms in the 2007 study [6]. As the 2007 study did not assess suicide ideation, our results cannot be compared with those directly.
Events that were related to suicide ideation in our study—conflict with passengers and sudden stops due to the emergency bell—should be managed as major risk factors for suicide. These two risk factors have a common feature—they are related to passengers—so the stressors might persist while the other work-related factors we investigated are one-time events. These two experiences might impose an emotional demand that can lead to suicide ideation [16].
As we described before, the epidemiological survey contained qualitative interviews of sampled drivers. According to the interview content, a driver should have stopped his train urgently because a passenger’s bag was caught in the car door. The passenger blamed the driver continuously, so he compensated the passenger for the bag out of his own pocket. Furthermore, his experience was publicly shared with other drivers as a bad example of work performance in a cluster education session. He confided that he experienced suicide ideation owing to this event and its consequences. This experience is a kind of emotional trauma that could induce psychiatric disorders.
In the same context, occupational stress would be more stressful to workers than a one-time event like a PUT accident because the former tends to be chronic and consistent. Many theories explain the fundamental causes of occupational stress. The KOSS model consists of eight domains. In our study, insufficient job control and lack of reward were two domains that affected suicide ideation while the other six were not significantly related to suicide ideation after we adjusted experiences of work-related problems and psychiatric disorders. This result is inconsistent with findings from other workers who are vulnerable to occupational stress. In studies on occupational stress in firefighters, KOSS domains were linked to depressive symptoms [17, 18] and sleep disorders [19]. However, the domains with significant associations differed from those in our study, perhaps because of differences in the characteristics of workers and related outcomes. In a study comparing subway workers with firefighters, scores of job insecurity, organizational system, and lack of reward among subway workers were better than those of firefighters [20].
Psychiatric disorders explain the pathway from occupational stress to suicide ideation. While GAD did not show any significant relationship with suicide ideation, the associations were strong for MDD, PTSD, and panic disorder. After we adjusted for these disorders in the logistic regression model, the effects of insufficient job control and lack of reward on suicide ideation were still significant while the impact of physical environment, job demand, interpersonal conflict, and occupational climate disappeared. This result implies that most occupational stress domains affect suicide ideation via psychiatric disorders, including MDD, PTSD, and panic disorder. However, insufficient job control and lack of reward directly affect suicide ideation.
Subway drivers suffered work-related problems in the aspect of insufficient control, which pertains to irregular working conditions, irregular meal times, and burden related to on-time transit service with prolonged immobilization. To reduce suicide rates, organizational and systematic approaches to assure sufficient control are needed. Further, interventions are necessary for drivers who experience conflict with passengers or sudden stops due to the emergency bell.
This study has some limitations. We used cross-sectional data and therefore could not make definite conclusions about causal or temporal relationships. People who have suicide ideation might feel greater occupational stress than others. However, it is more rational to consider that experiences of work-related problems and stress precede suicide ideation because development of suicide ideation requires sources of pain that decrease the desire to live [21].
We did not measure attempted or completed suicides directly. However, some previous studies support our methodology of measuring suicide ideation. Suicide ideation is followed by suicide event [21, 22]. Many studies have revealed that suicide ideation or consideration on death was related with suicide attempts, as well as the exact prevalence suicide events [23–25]. Although most patients with suicide ideation do not commit suicide ultimately, a management against suicide ideation may preclude more serious suicide attempts or events [26].
We consider that very high participation rate (99.7 %) and using evaluating tools with good validity such as K-CIDI were the strength of this study.
While we stated that sufficient control and reward are the factors most strongly associated with suicide ideation among subway drivers, we also pointed out that this trend might differ according to working groups. Countermeasures are needed to subway protect drivers who have experienced conflict with passengers and sudden stops due to the emergency bell. Furthermore, policies that ensure job control would be effective in lowering the suicide rate of subway drivers. We expect that the methods we used can be applied to other workers who experience persistent occupational stress, to identify weak points and solutions.
Insufficient job control and lack of reward were associated with suicide ideation among subway drivers. Strategies for drivers to have autonomy while working and to achieve effort-reward balance should be implemented. Further, drivers who have experienced negative work-related problems, especially conflict with passengers and/or sudden stop due to the emergency bell should be managed appropriately.
The study was funded by the Seoul Metropolitan Rapid Transit Cooperation.
Authors’ contributions
JB, SK, and JL carried out the whole process of the study from interviewing all the participants to data analysis. HK and SK managed the whole study. HK and HL participated in the statistical analysis. JB and JL wrote a draft of the manuscript. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
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      Factors associated with suicide ideation among subway drivers in Korea
      Ann Occup Environ Med. 2016;28:31  Published online August 2, 2016
      DOI: https://doi.org/10.1186/s40557-016-0120-5
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    Factors associated with suicide ideation among subway drivers in Korea
    Factors associated with suicide ideation among subway drivers in Korea
    VariablesNSIG (%)SIG (%) p-value
    N = 947 N = 33
    Working duration (years)<594 (97.9)2 (2.1)0.339
    5–10183 (94.8)10 (5.2)
    10–20559 (92.2)16 (2.8)
    ≥20111 (95.7)5 (4.3)
    Level of educationHigh school173 (97.2)5 (2.8)0.209
    Junior college293 (95.1)15 (4.9)
    Above college481 (97.4)13 (2.6)
    Marital statusUnmarried113 (94.2)7 (5.8)<0.001
    Married815 (97.4)22 (2.6)
    Divorced/separated/bereaved19 (82.6)4 (17.4)
    Smoking statusCurrent smoker306 (95.0)16 (5.0)0.150
    Former smoker311 (97.5)8 (2.5)
    Never smoker330 (97.3)9 (2.7)
    Visiting a doctor’s officeYes455 (95.6)20 (4.4)0.214
    No492 (97.4)13 (2.6)
    Sleeping time (hours)<7404 (94.6)22 (5.4)0.020
    7–8353 (98.3)6 (1.7)
    ≥8190 (97.4)5 (2.6)
    Sleeping wellYes662 (97.9)14 (2.1)0.002
    No285 (93.3)19 (6.7)
    Economic satisfactionSatisfactory84 (97.7)2 (2.3)0.837
    Ordinary461 (96.6)16 (3.4)
    Dissatisfactory402 (96.4)15 (3.6)
    VariablesNSIG (%)SIG (%) p-value
    N = 947 N = 33
    Person under train (PUT)Yes302 (96.2)12 (3.8)0.725
    No645 (96.8)21 (3.2)
    Conflict with passengersYes246 (94.3)15 (5.7)0.022
    No701 (97.5)18 (2.5)
    Sudden stop due to the emergency bellYes600 (95.4)29 (4.6)0.007
    No347 (98.9)4 (1.1)
    Near accidentYes404 (95.7)18 (4.3)0.239
    No543 (97.3)15 (2.7)
    BreakdownYes125 (99.2)1 (0.8)0.147
    No822 (96.3)32 (3.7)
    Colleague’s PUT experienceYes199 (94.8)11 (5.2)0.139
    No748 (97.1)22 (2.9)
    VariablesScoreNSIG (%)SIG (%) p-value
    N = 947 N = 33
    Physical environmentLow481 (97.8)11 (2.2)0.073
    High466 (95.5)22 (4.5)
    Job demandLow588 (98.0)12 (2.0)0.005
    High359 (94.5)21 (5.5)
    Insufficient job controlLow734 (97.6)18 (2.4)0.004
    High213 (93.4)15 (6.6)
    Interpersonal conflictLow378 (98.4)6 (1.6)0.020
    High569 (95.5)27 (4.5)
    Job insecurityLow63 (96.9)2 (3.1)1.000
    High884 (96.6)31 (3.4)
    Organizational systemLow317 (97.8)7 (2.2)0.199
    High630 (96.0)26 (4.0)
    Lack of rewardLow586 (98.2)11 (1.8)0.002
    High361 (94.3)22 (5.7)
    Occupational climateLow605 (97.7)14 (2.3)0.020
    High342 (94.7)19 (5.3)
    VariablesNSIG (%)SIG (%)Odds ratio [95 % CI]
    N = 947 N = 33
    1 year prevalenceMDD11 (1.2)7 (21.2)22.91 [7.89–63.14]
    PTSD12 (1.3)3 (9.1)7.79 [1.71–26.11]
    Panic disorder5 (0.5)5 (15.2)33.64 [8.90–127.53]
    General anxiety disorder2 (0.2)1 (3.0)14.77 [0.68–158.03]
    Lifetime prevalenceMDD32 (3.4)9 (27.3)10.72 [4.42–24.30]
    PTSD24 (2.5)4 (12.1)5.30 [1.49–14.85]
    Panic disorder9 (1.0)7 (21.2)28.06 [9.40–81.28]
    General anxiety disorder5 (0.5)1 (3.0)5.89 [0.30–37.92]
    ScaleUnadjusted modelAdjusted model
    OR [95 % CI]OR [95 % CI]
    Physical environment2.064 [1.011–4.465]0.990 [0.436–2.318]
    Job demand2.866 [1.415–6.075]1.973 [0.887–4.574]
    Insufficient job control2.872 [1.405–5.792]2.215 [1.017–4.736]
    Interpersonal conflict2.989 [1.307–8.072]1.710 [0.705–4.787]
    Job insecurity1.105 [0.324–6.919]1.008 [0.253–7.137]
    Organizational system1.869 [0.836–4.714]0.835 [0.351–2.263]
    Lack of reward3.247 [1.588–7.026]2.236 [1.021–5.153]
    Occupational climate2.401 [1.195–4.939]1.324 [0.597–3.094]
    Conflict with passengers2.375 [1.163–4.782]1.647 [0.742–3.631]
    Sudden stop due to the emergency bell4.193 [1.634–14.226]3.130 [1.113–11.353]
    Table 1 Individual characteristics and suicide ideation

    NSIG non suicide ideation group, SIG suicide ideation group

    Table 2 Experiences of work-related problems and suicide ideation

    NSIG non-suicide ideation group, SIG suicide ideation group, PUT person under train

    Table 3 Occupational stress and suicide ideation

    NSIG non suicide ideation group, SIG suicide ideation group

    Table 4 Psychiatric disorders and suicide ideation: univariate logistic regression

    NSIG non suicide ideation group, SIG suicide ideation group, MDD major depressive disorder, PTSD post-traumatic stress disorder

    Table 5 Effect of occupational stress and work-related problems on suicide ideation

    Adjusted model: adjustment for age, marital status, MDD, PTSD, GAD, panic disorder, and above variable

    Table 1

    Table 2

    Table 3

    Table 4

    Table 5

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