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  • Research note
  • Open Access

Identification of high risk groups with shorter survival times after onset of the main reason for suicide: findings from interviews with the bereaved in Japan

BMC Research Notes201811:553

https://doi.org/10.1186/s13104-018-3672-3

  • Received: 5 June 2018
  • Accepted: 1 August 2018
  • Published:

Abstract

Objectives

We sought to (1) measure survival lengths after the onset of the main reason for the target’s suicide, (2) identify the highest-risk groups and the contributors to early death, in Japan, and (3) clarify peculiar traditional Japanese values concerning suicide.

Results

Data for 523 deceased individuals (median age 43.0 years) were collected from bereaved persons. Average survival time from the onset of the main reason for suicide was 1956 days (5.4 years). After controlling for confounding factors, being middle-aged, male, self-employed, and a founding company president were identified as the highest-risk groups. Half of the self-employed founding presidents died within 2 years. Many of the bereaved had observed some signs of the suicide 2 weeks ago. The traditional Japanese idea is that one means of compensating for a serious mistake is to commit suicide, and we observed that many Japanese people still regard suicide as a respectable death, even among the interviewed. The possible intervention time is quite limited; however, those who have contact with the high-risk groups should be alert to behavioral changes or signals of impending suicide.

Keywords

  • Suicide
  • Work-related suicide
  • Survival times
  • Male
  • Japan
  • Asia

Introduction

Worldwide and Japanese suicide trends

Worldwide, over 800,000 people commit suicide annually [1]. Suicide is a major public health issue worldwide [2], and the second leading cause of death among 15- to 29-year-olds [1]. Suicide account for 8.6% of deaths globally [1]. An annual global age-standardized suicide rate of 11.4/100,000 population (15.0 for males, 8.0 for females) has been reported [3]. Major risk factors for suicide are mental disorders (such as depression, personality disorder, or schizophrenia), and some physical illnesses, such as neurological disorders, cancer, and HIV infection [4]. Poverty, low income, and low social status are related to suicide rates; approximately 80% of global suicides occur in low- and middle-income countries [3]. Among high-income countries, however, Japan had the highest national suicide rate at 19.5 deaths/100,000 people in 2014, while high-income countries averaged 12.7/100,000 [5].

As indicated by a recent World Health Organization (WHO) report, one reason for the country’s continually high suicide rate is that discussing death by suicide remains a social taboo in Japan; therefore, suicide has not been addressed as a public health concern [5]. In 2006, Japan’s Basic Act for Suicide Prevention was finally signed into law [5]. Annual suicides in Japan have fallen below 30,000 from 2014; however, suicide rates, particularly among middle-aged men, were still high compared with other countries such as the United States [6]. For males in Japan, two age groups had particularly high rates: those aged 55–59 years, and 85+ years [6]. In the United States, suicide rates basically plateau in the 20–69-year age group, and then rise sharply in the 70+ age group [6]. Rates for males are much higher than those for females in both Japan and the United States [6]. Moller-Leimkuhler suggested that traditional masculinity was a key risk factor for males, and could be the major reason for the gender gap in suicides [7].

Sharp increase in suicides among middle-aged males from 1999

In 1999, Japan saw a sharp increase in suicide rates, particularly among middle-aged males, which appeared to be attributable to economic causes [8]. Rates of work-related suicides remain high: Japanese National Police Agency statistics indicated that 9.0% (2159/24,025) of all suicides in 2015 fell in this category [9]. Work-related suicide represents one of the most challenging areas in which to implement prevention strategies [10]. WHO reports that mental disorders, harmful use of alcohol and other substances, job or financial loss, hopelessness, chronic pain, and illness are major causes of suicide [1]. Suicides that are presumably caused by work-related problems (work-related suicides) have particularly large economic impacts on the workplaces and family members of the deceased [4].

Existing studies have found that distinct life events precede suicide [1114]; however, few studies have identified the risk factors in work-related suicides in Japan. Amagasa et al. clarified the effect of job loss on subsequent life events using work-related suicide, and outlined the process and related factors in Japan [10]. Work environments in Japan have changed dramatically since around 2000 because of economic stagnation [13]. Another study showed that factors preceding work-related suicides in Japan were low income, job loss, bullying, high demand or overwork, and low level of control in the workplace [12]. However, the interrelationships of life events and other factors in earlier suicide deaths have not been clarified.

Objectives

We therefore sought to (1) measure survival lengths after the onset of the main reason for suicide, (2) identify the highest-risk groups and the contributors to early death in Japan, and (3) clarify peculiar traditional Japanese values, gender differences concerning suicide.

Main text

Methodology

Study design

We used a cross-sectional design. We carried out face-to-face interviews with structured questionnaires for the bereaved, who were mainly family members of suicide completers.

Target population

The study targeted 500 pairs of people, or 1000 individuals: 500 who died due to suicide, and one bereaved person for each deceased person. We used respondent-driven and snow-balling sampling because finding and recruiting bereaved family members of deceased persons is extremely hard in Japan because our target subjects constitute a hidden population. Our original survey, named “Listening to the Voices of the Voiceless: A Survey on Suicide” [15], was conducted by the NPO LIFELINK [16], and potential participants were identified through self-help groups for bereaved family members of suicide completers throughout Japan.

Data analysis

All statistical analyses were conducted by the author using SPSS version 24.0 for Windows (SPSS Inc., Chicago, IL). We set p < 0.05 to denote significant factors.

Results

Characteristics of the deceased

Table 1 shows the socio-demographic characteristics of the deceased. Data for 523 individuals who committed suicide were included. Of the deceased, 69.2% were male; 30.8% were female. The median age was 43.0 [Interquartile range (IQR) 30–53] years; approximately one-third (35.5%) had graduated from high school, and another third (31.8 + 2.5%) from college/university and graduate school. The majority (62.5%) were married, and approximately one-fourth (25.4%) lived alone. Approximately 60% had no income, while nearly 10% had a monthly income of more than 400,000 yen (> 3636 USD; as of May 2018, 1 USD = 110 yen; this figure was close to the average annual income per capita in Japan) per month. Regarding employment, 41.3% were employed, 43.6% were unemployed, and 15.1% were self-employed at the time of death.
Table 1

Sociodemographic characteristics of the deceased

Studied variables

n

%

Sex (n = 523)

 Male

362

69.2

 Female

161

30.8

Age in years (n = 523)

Median 43.0 [IQR: 30–53]

 < 20

30

5.7

 20–29

96

18.4

 30–39

56

19.9

 40–49

104

23.1

 50–59

121

20.7

 60–69

108

26.0

 70–79

49

9.4

 ≥ 80

15

2.8

Highest education level (n = 494)

 Middle school

58

11.3

 High school

183

35.5

 Technical college

46

8.9

 Junior college

17

3.3

 University

164

31.8

 Graduate school

13

2.5

 Others (e.g., elementary school)

13

2.5

Marital status

 Married

327

62.5

 Not married

196

37.5

Number of cohabitants: Median 2.0 [IQR: 1.0–3.0] (n = 445)

 Living alone

113

25.4

 2

128

28.7

 3

113

25.4

 4+

91

20.5

Had a job before the death (n = 522)

 Yes

312

59.7

 No

210

40.3

Monthly income (USD)a (n = 516)

 None

292

56.6

 < 200 thousand yen (< 1739 USD)

100

19.4

 200,000–400,000 yen (1739–3478 USD)

82

15.9

 > 400,000 yen (> 3,478 USD)

42

8.1

Job type (n = 397)

 Self-employed

60

15.1

 Employed

164

41.3

 Unemployed

173

43.6

Position in the workplace (n = 326)

 Manager class or higher

120

36.8

 Not manager class

206

63.2

Bank deposit, savingsa (n = 515)

 None

321

62.3

 < 1 million yen (< 8695 USD)

80

15.5

 1 million–10 million yen (8695–86,957 USD)

68

13.2

 > 10 million yen (> 86,957 USD)

46

8.9

Experience of suicide attempt (n = 473)

 Yes

171

36.2

 No

302

63.8

Experience of being abused (n = 398)

 Yes

76

19.1

 No

322

81.9

Suicide of a family member or other relative (n = 437)

 Yes

131

25.1

 No

390

74.9

a1 USD = 115 yen (as of June, 2018)

Personal life, suicidal behavior, and help-seeking behavior

Table 2 outlines personal life factors, suicide-related information, and help-seeking information of the deceased. Suicide methods varied. The majority (61.0%) of the deceased used hanging; the next most frequent category was jumping from a high place (14.7%). Nearly half (43.5%) left a suicide note.
Table 2

Suicide, personal life, and suicidal behaviors of the deceased

Study variables

n

%

Suicide methods (n = 462)

 Hanging

282

61.0

 Jumping from a high place

68

14.7

 Poisoning

29

6.3

 Briquette coal

27

5.9

 Brodie to train

23

5.0

 Carbon monoxide poisoning

20

4.3

 Burning

13

2.8

Suicide note (n = 490)

 Yes

213

43.5

 No

277

56.5

Held private life insurance (n = 454)

 Yes

304

67.0

 No

150

55.0

Sudden decrease in income

 Yes

61

22.6

 No

209

77.4

Multiple debts

 Yes

82

15.7

 No

441

84.3

Loss of employment (including bankruptcy)

 Yes

57

10.9

 No

466

89.1

Deteriorated relationships in workplace

 Yes

95

18.2

 No

428

81.8

Sleep disorder observed

 Yes

250

73.3

 No

91

26.7

Change of daily life behaviors observed

 Yes

290

69.2

 No

24.7

30.8

Attended psychiatric consultation (medical treatment)

 Yes

241

46.1

 No

282

53.9

Consulted with friends, colleagues

 Yes

415

79.3

 No

108

20.7

Suicidal behavior before suicide (n = 430)

 Yes

352

81.9

 No

78

18.1

Timing of recognized suicidal behavior (n = 158)

 Less than 7 days before the death

35

22.2

 7–14 days before the death

46

29.1

 15–30 days before the death

9

5.7

 More than 30 days before the death

68

43.0

Recognized signs and symptom of suicide (n = 467)

 Yes

298

63.8

 No

169

36.2

Timing of signs and symptoms of suicide (n = 132)

 Within 14 days

75

56.8

 14–30 days

21

15.9

 More than 30 days

36

27.3

More than two-thirds (67.0%) had private life insurance, which normally can be paid out for suicide deaths in Japan [17, 18]. Half of the interviewees (22.2 + 29.1%) observed unusual behaviors such as cleaning desks, visiting relatives, or contacting old friends within 2 weeks before the suicide.

Median survival days from onset of main reason for suicide, and associated factors

Table 3 shows survival days from the onset of the main reason for suicide to death, and possible associated factors (Mann–Whitney U test). Median survival time was 1956.0 days (5.5 years) [IQR: 658.5–4035.5 days]. Personal risk factors for shorter survival time included being male (median 1430.0 days = 3.9 years, p < 0.001), under 20 years old (median 1199.0 days = 3.3 years), 20–29 years old (median 1664.0 days = 4.6 years), or 40–49 years old (median 1778.5 days = 4.9 years).
Table 3

Days from onset of main cause of suicide to suicide completion, and determinants of early suicide death (< 3 years from onset of main cause to suicide)

Variables

n

Median

IQRa (days)

p-value

 

(Days)

(Years)

Total

397

1956.0

(5.4)

658.5–4035.5

  

Male

265

1430.0

(3.9)

478.0–2928.0

< 0.001***

 

Female

132

3185.0

(8.7)

1452.0–5825.5

 

Age

(n = 396)

     

 < 20

21

1199.0

(3.3)

444.0–2507.0

0.014*

 

 20–29

82

1664.5

(4.6)

516.3–3124.3

 

 30–39

76

2290.0

(6.3)

744.0–3937.5

 

 40–49

86

1778.5

(4.9)

717.0–3947.0

 

 50–59

79

2350.0

(6.4)

749.0–4591.0

 

 ≥ 60

52

2494.0

(6.8)

496.8–6185.8

 

Job type

(n = 397)

     

 Self-employment, employer

60

828.0

(2.3)

388.3–2616.5

0.001**

 

 Employee

164

1813.0

(5.0)

772.3–3557.3

 

 No job

173

2533.0

(6.9)

935.5–5114.5

 

Self-employed president

(n = 67)

     

 Founder

41

697.5

(1.9)

365.3–2863.0

0.004**

 

 Successor

26

2173.0

(6.0)

710.0–5567.0

 

Private life insurance

(n = 356)

     

 Yes

228

1628.5

(4.5)

585.0–3573.3

0.043*

 

 No

128

2350.0

(6.4)

901.5–4442.3

 

Slump in business

(n = 397)

     

 Yes

44

1106.0

(3.0)

608.8–2479.5

0.029*

 

 No

353

2059.0

(5.6)

692.5–4245.0

 

Working status

(n = 249)

     

 Managing director or higher

104

1262.0

(3.5)

372.3–2571.5

0.001**

 

 Not managerial post

145

2290.0

(6.3)

736.0–5005.5

 

Job Promotion

(n = 397)

     

 Yes

15

1219.0

(3.3)

163.0–1956.0

0.036*

 

 No

382

2018.0

(5.5)

701.8–4171.8

 

Excessive fatigue (overwork)

(n = 397)

     

 Yes

54

1291.0

(3.5)

343.0–2010.3

< 0.001***

 

 No

343

2150.0

(5.9)

767.0–4323.0

 

Experience of abuse in the past

(n = 373)

     

 Yes

73

3113.0

(8.5)

1529.5–5501.0

< 0.001***

 

 No

300

1658.5

(4.5)

573.5–3522.0

 

Experience of suicide attempt

(n = 373)

     

 Yes

146

2603.0

(7.1)

393.0–3358.0

< 0.001**

 

 No

227

1464.0

(4.0)

1310.3–4947.5

 

Studied variables

Crude odds ratio

95% CI

p-value

Adjusted odds ratio

95% CI

p-value

Determinants of early death (< 3 years) from the onset of main cause of suicide (logistic regression analysis)

    

 Self-employed, founder president

4.82

2.39–9.74

< 0.001***

4.52

2.01–10.15

< 0.001***

 Had a job, employee

1.61

1.05–2.47

0.030*

3.93

1.62–9.54

0.002**

 Managerial position

1.65

0.98–2.78

0.058

   

 Male

2.85

1.73–4.70

< 0.001***

2.51

1.02–6.20

0.046*

 Age quartile

0.99

0.98–1.01

0.262

   

 Experience of abuse

0.31

0.16–0.62

0.001**

   

 Experience of suicide attempt

0.37

0.23–0.60

< 0.001***

0.35

0.17–0.69

0.003**

 Family member’s with suicide history

0.77

0.47–1.25

0.288

   

 Consulted with someone

0.48

0.29–0.80

0.005**

0.53

0.30–0.95

0.033*

Backward elimination was used to generate the best model

We entered variables with p < 0.05 in binary regression as covariates for the final model

* p < 0.05, ** p < 0.01, *** p < 0.001

a Internal quartile range

We ran binary and multiple logistic regression analyses to determine higher risk factors of early death, defined as less than 3 years from the onset of the main reason for suicide (Table 3). We mainly analyzed variables with p < 0.05 in the Mann–Whitney U test in the regression analyses. After controlling for possible confounding factors, we ran multiple regression analysis. We adopted backward elimination to generate the best model. In the final model, we identified the following positively associated high-risk factors: self-employed founder-president status [Adjusted odds ratio (AOR) 4.52, 95% CI 2.01–10.15, p < 0.001], employee status [AOR 3.93, 95% CI 1.62–9.54, p = 0.002], and being male [AOR 2.51, 95% CI 1.02–6.20, p = 0.046]. In contrast, previous suicide attempts [AOR 0.35, 95% CI 0.17–0.69, p = 0.003] and consulting with anyone in advance [AOR 0.53, 95% CI 0.30–0.93, p = 0.033] were associated with more survival days.

Main findings

Our study identified that median survival length from the onset of the main reason for suicide among the deceased was 5.4 years (median 1956 days). The highest-risk group (fewest survival days) were male self-employed founder-presidents. Half of the founder-presidents died within 2 years of onset of the precipitating cause (median 1.9 years). Similarly, employees in director or manager positions, and those who received a job promotion were also at risk of significantly fewer survival days. The majority of the deceased, however, showed several suicidal behaviors or other signals before the suicide. Almost half of respondents noticed such occurrences approximately 1 month (30 days) before suicide. Surprisingly, a majority (79.3%) of the deceased sought help from someone, while those who had shorter survival times tended not to do so.

Discussion

Possible reasons for associations, and comparison with other studies

Our high-risk group had work-related precipitating causes, although the most frequent reasons for suicide in the national data are health-related problems [19]. Among the deceased, for those who were self-employed at the time of death, such as founder-presidents whose data are shown in Table 3, financial problems seemed to be the strongest reason that eventually led them to kill themselves after a shorter period, which supports a previous finding [20]. Regarding the unemployed, health problems accounted for the greatest number of cases.

This study might suggest that the deceased self-employed tried to compensate for their debt with private life insurance payments to protect their bereaved families, since 67% had life insurance. In Japan, life insurance companies can pay death benefits even in the case of suicide, if the 2- to 5-year exemption period has passed [17, 18]. These death benefits might constitute a moral hazard for increasing suicide deaths.

The path to suicide for the self-employed could begin with business failure, which existing evidence shows may lead to hardships in life, multiple debts, or overwork, followed by depression [3, 10]. For the unemployed, the path may begin with absence of a job or job loss, or some individuals may face workplace difficulties, such as heavier workloads or longer working hours, which can lead to health problems, eventually causing them to relinquish their work [2, 10, 20].

This study included those who presented risk factors for suicide, such as mental health problems including depression [21], and a family history involving suicide/attempts or personality disorders [22]. Although the risk factors themselves indicated suicidality, it is difficult for family members and surrounding people to recognize all mental health problems. Regarding work-related suicide, interpersonal conflicts were common among the deceased; therefore, preparing people to cope with such conflicts [23] and increasing the availability of relationship counselling are necessary [24].

Peculiar traditional Japanese values concerning suicide

Worldwide, poverty and low social status are associated with high suicide rates [3]. Our study, however, showed a positive association between fewer survival days and higher social status, such as for company owners, managers, and those who have been promoted (Table 3). The context of these associations might be the failure of company management or workplace difficulties [10, 20, 25, 26]. The traditional Japanese idea is that one means of compensating for a serious mistake is to commit suicide, and many Japanese people regard suicide as a respectable death [27].

Gender differences

Surprisingly, this study identified a negative association with previous suicide attempts. Existing study emphasized that a suicide attempt is the strongest risk factor for committing suicide [3]. The present study, however, demonstrated that experiencing abuse or suicide attempts might contribute to longer survival times after the onset of the main reason for suicide. Perhaps abuse—for example, child abuse, domestic violence experiences—includes “family problems” that occur repeatedly over a long period. These factors were more likely to be observed in females than males [28, 29]. In contrast, debt and company mismanagement related to short-term deadlines for payment, accrual of interest, or imminent judgments of bankruptcy may have affected males [3, 10, 28].

Recommendations

We observed that the possible intervention time is quite limited; however, those who have contact with high-risk groups should be alert to behavioral changes or signals of impending suicide.

Limitations

To the best of our knowledge, this is the first study to estimate the average survival days after the onset of the main reason for suicide, and was based on interviews with more than 500 bereaved persons in Japan.

This study, however, has several limitations. First, sampling was respondent-driven and used snow-balling because families of those who commit suicide are reluctant to speak out. Although the interviewees gave us much useful information, we must consider the possibility of response bias in their answers.

Abbreviations

AOR: 

adjust odds ratio

COR: 

crude odds ratio

HIV: 

human immunodeficiency virus

IQR: 

interquartile range

NPO: 

Nonprofit Organization

WHO: 

World Health Organization

Declarations

Authors’ contributions

The NPO LIFELINK conceived the study and collected the data. KS analyzed the data and prepared the manuscript. The author read and approved the final manuscript.

Acknowledgements

We first thank all study participants. In addition, we thank all the research assistants, who traveled to various remote areas in Japan to conduct the interviews.

Competing interests

The author declares that she has no competing interests.

Availability of data and materials

The datasets used and analyzed are partly available from the author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study used secondary data from the “Listening to the Voices of the Voiceless: A Survey on Suicide” [15]. Moreover, this study was planned in 2005, almost no ethical review committee had been organized in academic institutes in Japan. Therefore, this study does not have Ethical Approval number. However, prior to collecting data for the survey, search team members provided more details of the study by phone or email to those who agreed to participate. The explanation included assurances that participation was voluntary, that confidentiality would be kept from everyone outside the working team, and that responses would not be linked to respondents’ identities. Participants were informed that they could refuse or discontinue study participation at any time. Each interviewee gave written consent for participation before the interview started. All interviewers had considerable prior experience conducting interviews with potentially distressed informants, as well as experience with meeting and talking to bereaved relatives before the study began. Additional interviews were held when further information was necessary. The participants were contacted by mail approximately 2 months after the interview to determine whether the interview had negatively affected them in any way. The working team offered contacts with helplines and professional medical staff as appropriate.

Funding

Part of the original data collection was supported by the Nippon foundation.

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Authors’ Affiliations

(1)
Teikyo University Graduate School of Public Health, 2-11-1, Kaga, Itabashi, Tokyo 1738605, Japan
(2)
National Center of Neurology and Psychiatry, Institute of Mental Health, Japan Support Center for Suicide Countermeasures, Tokyo, Japan

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