Skip to main content
Erschienen in: BMC Psychiatry 1/2019

Open Access 01.12.2019 | Research article

Association between interpersonal trust and suicidal ideation in older adults: a cross-sectional analysis of 7070 subjects in Shandong, China

verfasst von: Zihang Yu, Lingzhong Xu, Long Sun, Jiao Zhang, Wenzhe Qin, Jiajia Li, Gan Ding, Qian Wang, Jing Zhu, Su Xie

Erschienen in: BMC Psychiatry | Ausgabe 1/2019

Abstract

Backgrounds

Suicidal ideation is an important public health issue due to devastating mortality. In the meantime, interpersonal trust was found to be negatively associated with mental disorder and physical health. Although there is increasing evidence that interpersonal trust is a significant predictor of suicidal ideation, evidence of this association is still lacking in the developing world. The aim of this study was to test the association between interpersonal trust and suicidal ideation among older adults in China.

Methods

Using a multi-stage stratified sampling strategy, 7070 older adults aged 60 and above from Shandong Province, China were recruited in this study. Socio-demographic characteristics, health status, family relationship, psychological distress, interpersonal trust and suicidal ideation in the last 12 months were obtained through face to face interviews. The association between interpersonal trust and suicidal ideation was assessed using multiple logistic regression models adjusting for socio-demographic characteristics, health status, family relationship and psychological distress.

Results

7.1% of participants reported suicidal ideation in the past 12 months, which was related to gender, resident area, marital status, educational level, self-rated economic, chronic disease, self-rated health status and family relationship within 1 month, psychological distress and interpersonal trust. After adjusting for sociodemographic factors, health status, family relationship and psychological distress, interpersonal mistrust was associated with two times odds of suicidal ideation when compared to interpersonal trust

Conclusions

The interpersonal trust was associated with suicidal ideation among elderly in Shandong, China. Intervention approaches regarding inducing and promoting interpersonal trust should be developed to prevent suicide.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CI
confidence interval
K10
Kessler Psychological Distress Scale 10
OR
odds ratio
SD
standard deviation

Background

In previous research, the factors associated with suicidal ideation can be divided into three groups: socio-demographic characteristics, psychological factors and social environmental factors [1, 2]. A large portion of literature had demonstrated the significance of a wide variety of socio-demographic and psychological causes of suicidal ideation [3, 4], while the social (interpersonal) related factors of suicidal ideation were often neglected, consequently, were not received enough attention.
Interpersonal trust, the basis of almost entire major theories of interpersonal relationships [5], was one of the most important ingredients among social environmental factors. As Giddens said, trust is faith in the reliability of other people in a specified set of events or outcomes [6]. A growing body of evidence in developed countries suggests that interpersonal trust is associated with mental disorder and physical health. For example, in the USA, a prospective study found that perceptions of higher levels of interpersonal trust are associated with lower odds of developing mental disorder [7]. Pollack found the relationship between mistrust and poorer self-rated health, depression and functional limitations [8]. In Australian, Phongsavan reported that after controlling socio-demographic characteristics and health conditions, those who have higher levels of trust were inversely associated with psychological distress [9]. In Canada, the three studies undertaken by Rotenberg indicated that loneliness scores on the revised UCLA loneliness scale were negatively correlated with interpersonal trust [10]. In developing countries, there is much less evidence indicating that interpersonal trust is linked to the health condition. In the China context, Winnie Yip’s work suggested that trust exhibited strong and consistent associations with health and well-being in the rural Chinese population [11]. Older adults who mistrust people were more likely to suffer from poor physical and mental health at the same time. These negative influences may, in turn, increase the probability that one would consider suicide. In addition, one ecological investigation conducted in 11 European countries found that social trust was inversely associated national suicide rate after controlling for other sociodemographic and psychological variables [12]. During the economic crisis, experts found the presence of a low interpersonal trust was the significant predictor of suicidal ideation and suicide attempt [13]. Previous studies on the association between suicidal ideation and trust mainly focused on teenagers, while the correlation may be stronger among seniors [14, 15]. Compared with the younger population, the elderly had a greater likelihood of cognitive impairment and disadvantaged physical condition, which would lead to more need for emotional support and material assistance that generally acquired from trusted relationships, especially when negative life events occur [16, 17]. Consequently, lacking trust would preclude them from seeking help and social support in time. There are few studies showed that trust is linked to suicidal ideation in developed economies. In Japan, Masayuki found individual-level mistrust was associated with suicidal ideation after adjusting for social support and psychological distress among the elderly living in the rural area [18]. The same result is also found that social trust accumulated reduce the probability that one will consider suicide among male living in urban areas and subjects with a mean age of 54.5 [19, 20]. In South Korea, by using a nationally representative longitudinal cohort database, Kim showed that the low interpersonal trust group has a greater likelihood of suicidal ideation [21]. Because research on interpersonal trust and suicidal ideation are still in an early stage, it is necessary to record the possible relationships.
Suicide is a major public health problem worldwide and resulted in 842,000 deaths in 2013 [22]. In China, suicide accounted for 3.6% of general population deaths and ranked as the fifth most important cause of death [23]. The suicide rate was 9.8 per 100 thousand people in the late 2010s in China, demonstrating a significant decline trend compared with 23 per 100 thousand people in the late 1990s [23, 24]. However, the decline has not been found among older adults, on the contrary, the rate in elderly was strikingly increased and ranged from 44.3 to 200.0 per 100 thousand which is four to five times higher than average population [25]. Population aging is rapidly developing in the world, especially in China. It is estimated that the percentage of people in China aged 60 years and above will increase from 12.4% (168 million) in 2010 to 28% (402 million) in 2040 [26]. Given the alarming population aging development speed, suicide among seniors is becoming one of the most noteworthy issues. Suicidal ideation as the intermediate condition between a sound physical condition and death by suicide is an initial and inevitable stage in the process of suicide [27]. The available evidence showed that the most effective measure to prevent suicide was reducing the likelihood of suicidal ideation [2]. Therefore, even if individuals do not conduct the suicidal act, the occurrence of suicidal ideation is worth priority to study.
The current study designed to test the association between interpersonal trust and elderly suicidal ideation in China. We hypothesized that interpersonal trust would be inversely and dependently associated with suicidal ideation even after controlling for other defined risk factors.

Methods

Study design and data collection

Our data were collected from the Survey of the Shandong Elderly Family Health Service. The detailed sampling and quality assurance measures have been described in a previously published paper [28]. We chose Weihai, Weifang, and Heze as the investigation sites, because these three cities not only respectively represent the high, media, low level of gross domestic product (GDP) per capita (2016) in Shandong Province, but also are separately located in the eastern, central and western regions. We used a multi-stage, stratified sampling method to select a representative sample of people aged 60 years or above in the general population. In total, 7088 older adults were recruited into the study and 18 were excluded for incomplete data. In total, 7070 individuals were included in the final sample. After verbal informed consent was obtained from interviewees, all participants were interviewed individually using a structured questionnaire.
The survey group consists of 1 professor, 2 lecturers, 2 doctoral students and 28 master students from Shandong University School of Public Health. Most students major in social medicine and health service management, while others major in epidemiology, health toxicology, occupational and environmental health. To ensure the quality of the survey, first, some investigators were organized to conduct a preliminary survey in a village in caishi town of Jinan after the first draft of the questionnaire. We revised and perfected the questionnaire according the problems in the investigation process. Before the formal survey, all investigators got a survey manual and received professional face-to-face interview training to better understand the background, purpose, methods, contents and other aspects. The possible problems in the investigation were envisaged and related solutions were proposed. Then, during the investigation, the investigators were divided into six groups. After random sampling, both centralized and household survey way was adopted. Emphasis is placed on the objectivity of the investigators without inductive inquiry and subjective conjecture, and the elderly with poor understanding ability would be properly explained by interviewers. If the two sides cannot understand each other’s meaning due to dialect problems, the local staff would translate for them. Last, completed questionnaires were carefully checked by investigators, group leader and quality supervisors at the end of each day to fill and correct the missing or contradictory items. Group meetings were held as necessary to discuss the problems encountered in the investigation and propose solutions.

Measures

Suicidal ideation

The dependent variable of this study was suicidal ideation in the past year before the survey. We evaluated suicidal ideation through the yes/no response to the question, “have you ever seriously thought about committing suicide” if the participant answered yes, we then ask, “have you seriously thought about committing suicide at some point in the past 12 months?” We grouped suicidal ideation as “yes” (coded = 1) when subjects answer “yes” about the second question. Likewise, we categorized suicidal ideation as “no” (coded = 0) when the response was “no”. U. S National Comorbidity Survey and National Comorbidity Survey Replication have also used this question to estimate suicidal ideation [29].

Interpersonal trust

In this paper, interpersonal trust was examined through one question, “Do you think that the people around you are trustworthy?”, respondents could answer “Yes” (coded as trust), “Depends” (coded as median trust), “No” (coded as mistrust).

Socio-demographic factors

Age was categorized into 60–64 years old, 65–69 years old, 70–74 years old, 75–79 years old and 80 years old and above. To date, findings related to age have been mixed. We wonder which age group the elderly has a greater likelihood of suicidal ideation. Therefore, it is necessary to indicate the suicidal ideation of the elderly in different age group. Location of residence was categorized into rural, town and urban. Living arrangement and chronic diseases were binary classifications. Based on the distribution of participants, we categorized marital status into two groups: single and couple [30]. We collapsed the unmarried, divorced, and widowed to single. Education was categorized into no schooling, primary school, junior school and above. The respondents were asked to rate their economic status with four options: wealthy and not worried about livelihood, not wealthy but not worried about livelihood, not wealthy and worried about livelihood, poor and worried about livelihood. Self-rated health status was assessed by asking the participants rate their health condition with a single question: “would you say that your health has on the whole been excellent, good, fair, poor, or very poor in a month?” This five-point scale was categorized into good, fair and poor health. We ask participants “how you feel about the relationship with your family in a month?” and the answer was categorized into good, fair and poor.

Psychological distress

Kessler Psychological Distress Scale 10 (K10) was used to assess psychological distress [31]. The reliability and validity of the scale has been proved for Chinese populations [32]. There has a validation study showed that the K10 seems to be composed of depression factor and anxiety factor and has a reasonable psychometric property [33]. This instrument has ten items and each of them having a five-point Likert response ranging from none of the time to all of the time. The total scores range from 10 to 50, with higher scores manifest higher psychological distress. The K10 total score has been showed to be a clinically useful indicator of the existence of suicidal ideation [34]. The α reliability coefficient was 0.92 in the current study.

Statistical analysis

First, we presented descriptive statistics on the demographic characteristics and prevalence. The results were exhibited as number and percentage for categorical variables, for continuous variables as means and standard deviations (SDs). Second, the Chi-square test was performed to compare the prevalence of suicidal ideation across different groups of the respondents and the continuous variable was compared by Student’s t-test. Last, multiple logistic regression analyses were used to examine the relationship between interpersonal trust and the likelihood of suicidal ideation in the past 12 months. In model 1, we adjusted for sociodemographic characteristics, health status and family relationship to estimate the effect of interpersonal mistrust on suicidal ideation risk. In model 2, we added psychological distress to our model in order to examine how much of the variance in this association was explained by mental factor. Non-significant variables from the univariate analyses were excluded. Sample weight was included in the models. We used SPSS 22.0 to perform all statistical analyses. Associations were determined by odds ratios (ORs) and 95% confidence intervals (CIs).

Results

Socio-demographic characteristics of participants

Distribution of the study participants and prevalence of suicidal ideation are presented in Table 1. The study included 7070 elderly people with a mean age of 69.81 years (SD = 6.45), of which 40.3% are men and 59.7% are women. In addition, the major elderly had the following characteristics: living in rural (70.6%), not living alone (85.5%), couple (81.3%), being a primary educational level (41.4%), reporting not worried about livelihood even not wealthy (69.6%), having at least one chronic disease (68.9%), reporting good or above health (65.3%) and having a good relationship with family (94.7%) in 1 month. 87% of participants reported that they had the complete trust of those around them, 11.3% reported media trust and only 1.7% reported mistrust. The mean score of Kessler 10 was 15.34 (SD = 6.68). Of all respondents, 499 (7.1%) experienced suicidal ideation in the past 12 months. Most social demographic variables showed differences except living arrangement. There was a significant difference in suicidal ideation regarding to gender (p < 0.001), residence (p < 0.001), marital status (p < 0.001), educational level (p < 0.001), reported economic level (p < 0.001), chronic diseases (p < 0.001), self-rated health (p < 0.001) and the relationship with family (p < 0.001) in 1 month. Compared with the reference group, individuals who are female, aged above 75, rural resident, single, illiterate, poor and worried about livelihood, poor self-reported health and family relationship in 1 month were associated with a greater risk of suicidal ideation. The rate of people who have suicidal ideation in the past 12 months was significantly lower in participants with complete trust (6.1%) than those mistrust (23.5%) (p < 0.001). Regarding psychological distress, those with suicidal ideation scored significantly higher on the K10 than the counterpart (t = − 25.254, p < 0.001).
Table 1
Prevalence of suicidal ideation in the past year by participant characteristics among elderly in Shandong, China (n = 7070)
  
Suicidal Ideation in The Past Year
  
 
N (%)
No (%)
Yes (%)
χ2/t
p value
Total
7070
6571 (92.9)
499 (7.1)
Gender
30.025
0.000
 Male
2846 (40.3)
2703 (95.0)
143 (5.0)
 Female
4224 (59.7)
3868 (91.6)
356 (8.4)
Age
9.274
0.055
 60–64
1577 (22.3)
1448 (91.8)
129 (8.2)
 65–69
2129 (30.1)
1970 (92.5)
159 (7.5)
 70–74
1780 (25.2)
1657 (93.1)
123 (6.9)
 75–79
975 (13.8)
923 (94.7)
52 (5.3)
 ≧80
609 (8.6)
573 (94.1)
36 (5.9)
Residence
28.204
0.000
 Rural
4990 (70.6)
4586 (91.9)
404 (8.1)
 Town
524 (7.4)
503 (96)
21 (4)
 Urban
156 (22)
1482 (95.2)
74 (4.8)
Living alone
0.116
0.733
 Yes
1026 (14.5)
951 (92.7)
75 (7.3)
 No
6044 (85.5)
5620 (93)
424 (7)
Marital status
17.342
0.000
 Single a
1331 (18.8)
1202 (90.3)
129 (9.7)
 Couple
5739 (81.2)
5369 (93.6)
370 (6.4)
Educational level
48.624
0.000
 No schooling
2270 (32.1)
2045 (90.1)
225 (9.9)
 Primary school
2924 (41.4)
2734 (93.5)
190 (6.5)
 Junior school and above
1876 (26.5)
1792 (95.5)
84 (4.5)
Self-rated economic status
303.471
0.000
 Wealthy and not worried about livelihood
1618 (22.9)
1557 (96.2)
61 (3.8)
 Not wealthy but not worried about livelihood
4920 (69.6)
4510 (93.7)
310 (6.3)
 Not wealthy and worried about livelihood
478 (6.8)
374 (78.2)
104 (21.8)
 Poor and worried about livelihood
54 (0.8)
30 (55.6)
24 (44.4)
Chronic disease
49.681
0.000
 No
2200 (31.1)
2115 (96.1)
85 (3.9)
 Yes
4870 (68.9)
4456 (91.5)
414 (8.5)
Self-rated health status in one month
350.75
0.000
 Good
4615 (65.3)
4443 (96.3)
172 (3.7)
 Fair
1657 (23.4)
1503 (90.7)
154 (9.3)
 Poor
798 (11.3)
625 (78.3)
173 (21.7)
Family relationship in one month
241.192
0.000
 Good
6694 (94.7)
6286 (93.9)
408 (6.1)
 Fair
310 (4.4)
250 (80.6)
60 (19.4)
 Poor
66 (0.9)
35 (53)
31 (47)
Interpersonal trust
84.618
0.000
 Trust
6154 (87)
5777 (93.9)
377 (6.1)
 Median
797 (11.3)
703 (88.2)
94 (11.8)
 Mistrust
119 (1.7)
91 (76.5)
28 (23.5)
 Psychological distress (M ± SD)
15.34 ± 6.68
14.62 ± 5.90
24.78 ± 8.84
25.254
0.000
Note: a Others included those who are unmarried (0.9%), widowed (17.6%), or divorced (0.2%)

Association between interpersonal trust and suicidal ideation in the past 12 months

Table 2 shows the results of multiple logistic analysis in two models. In model 1, interpersonal mistrust was associated with a statistically significant increase in likelihood of suicide ideation (β = 1.20; OR = 3.33; 95%CI 2.00–5.54). The results in model 2 indicated that controlling for psychological distress slightly attenuated the positive association between interpersonal mistrust and suicide ideation (β = 0.72; OR = 2.06; 95%CI 1.5–3.70) but it still remained statistically significant. As for other characteristics, running all significant covariates simultaneously within multivariate models reveal that the independent influence factors for suicidal ideation were gender, education, self-rated economic and health status and relationship with family.
Table 2
Associations between interpersonal trust and suicidal ideation in the past year among elderly in Shandong, China
Variables
Model 1
Model 2
β
OR
95% CI
β
OR
95% CI
Gender
 Male Ref
 
1.00
  
1.00
 
 Female
0.55
1.73***
1.38–2.17
0.33
1.39**
1.09–1.77
Residence
 Rural Ref
 
1.00
  
1.00
 
 Town
−0.65
0.52**
0.33–0.84
−0.49
0.61
0.37–1.00
 Urban
−0.20
0.82
0.61–1.11
−0.08
0.92
0.67–1.27
Marital status
 Single a; Ref
 
1.00
  
1.00
 
 Couple
− 0.23
0.80
0.64–1.00
−0.16
0.85
0.67–1.09
Educational level
 No schooling Ref
 
1.00
  
1.00
 
 Primary school
−0.15
0.86
0.68–1.08
− 0.32
0.73**
0.57–0.92
 Junior school and above
−0.30
0.74
0.55–1.01
−0.57
0.57***
0.41–0.79
Self-rated economic status
 Wealthy and not worried about livelihood Ref
 
1.00
  
1.00
 
 Not wealthy but not worried about livelihood
0.19
1.21
0.90–1.64
−0.06
0.94
0.69–1.30
 Not wealthy and worried about livelihood
1.20
3.31***
2.28–4.82
0.69
2.00**
1.34–3.00
 Poor and worried about livelihood
1.76
5.82***
2.98–11.40
1.16
3.18**
1.51–6.69
Chronic disease
 No Ref
 
1.00
  
1.00
 
 Yes
−0.37
0.69**
0.53–0.89
−0.23
0.80
0.61–1.04
Self-rated health status in one month
 Good Ref
 
1.00
  
1.00
 
 Fair
0.63
1.87***
1.47–2.37
0.27
1.32*
1.02–1.69
 Poor
1.44
4.23***
3.29–5.48
0.45
1.57**
1.18–2.10
Family relationship in one month
 Good Ref
 
1.00
  
1.00
 
 Fair
0.71
2.04***
1.46–2.85
0.16
1.18
0.82–1.70
 Poor
1.69
5.41***
3.08–9.48
0.86
2.36**
1.26–4.41
Interpersonal trust
 Trust Ref
 
1.00
  
1.00
 
 Median
0.46
1.59***
1.22–2.07
0.11
1.12
0.84–1.50
 Mistrust
1.22
3.38***
2.04–5.62
0.73
2.08*
1.56–3.73
 Psychological distress (M ± SD)
   
0.13
1.14***
1.13–1.16
a Others included those who are unmarried (0.9%), widowed (17.6%), or divorced (0.2%); Ref denotes reference category; * p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001

Discussion

In the current study, we investigated the association between interpersonal trust and suicidal ideation in a large population-based sample of older Chinese. We found strong evidence of an increased risk of suicidal ideation among seniors reporting interpersonal mistrust. We also observed the prevalence of elderly suicidal ideation was 7.1%. In addition, suicidal ideation was also found significantly correlated with gender, education, economic status, physical health, and family relationship. Some associations were attenuated after controlling for psychological distress, emphasizing the importance of mental health.
Our study examined the relationship between interpersonal trust and suicidal ideation both with and without psychological distress included in the model. After controlled other variables, such as gender, age, residence, marital status, education, self-rated economic and health condition, chronic diseases and relationship with family, both models exhibited similar result that the odds of suicidal ideation increased when the elderly report they mistrust people around. This finding here emphasis the intervention designed specifically to induce and promote trust may be effective in reducing suicidal ideation. As the autonomous organization in China, community residents’ committees and village committee should provide more activities according to the needs of the elderly, so that older adults can establish their trust and emotional foundation at the same time as they participate. At the same time, there is evidence that informal social networks like having high neighborhoods attachment usually establish higher interpersonal trust than engaging formal civic participation [35]. The main purpose in including the psychological distress in Model 2 is to see how the OR value would change when compared to Model 1. The OR value of interpersonal mistrust was remarkably reduced from 3.33 in Model 1 to 2.06 in Model 2. Previous research showed that people who report low level of interpersonal trust had higher odds ratio of psychological distress and people with psychological distress were more likely to have suicidal ideation [36]. Therefore, adjusting psychological distress rendered the influence of interpersonal trust less prominent.
The prevalence of suicidal ideation in the past year among the older people in current study was 7.1%, which was similar to the 7.3% found in general population of United States [37]. However, due to geography and socioeconomic background in various studies, the incidence rates are also varied in a large range. Several studies have documented the considerable gap in the incidence of suicidal ideation in China. For example, a study conducted in Hunan, located in south central area in China, reported that 14.5% of elderly (60+) lived in rural communities was experienced suicidal ideation in the last 12 months and the figure down to 14.1% after standardization [2]. Another study conducted in Shanghai and Beijing reported the prevalence estimate was 3.1% [38]. The difference with our research might due to geography since the study sample in the research carried out in Hunan and metropolitan cities were respectively strictly limited to the rural residents and urban residents, while our sample included both rural and urban populations in Shandong for the better representation. Numerous studies have shown that the suicide rate in the rural population is higher than those in urban population in China [23, 39]. The figure in previous studies was 2.23% in Japan for aged 65 and above and 3.3% in America with data collected from 2001 to 2003 National Comorbidity Survey Republication [29, 40]. Both are lower than the percentage in our study. One explanation might be that due to China’s booming economy and socioeconomic changes in recent decades, the older people have to bare unfamiliar challenges and encounter various problems which make them vulnerable to negative emotions like anxiety and depression and led to the desire to escape through suicide.
Being female, low educational level, and self-rated poor health condition was found to be positively significantly correlated with senior’s suicidal ideation in the current study. These influences have been repeatedly emphasized in previous studies as being important elderly risk indicators [4144]. Besides, relationship with family also plays a role in elderly suicidal ideation especially for Chinese family. Bad family relationship was positively correlated with the occurrence of suicidal ideation. The result is consistent with those conducted among Asian Americans [45]. These results highlight the importance of establishing harmonious family especially among young-old elderly for suicide prevention.
In our study, we also found that poverty and worried about livelihood was the strongest significant predictor of suicidal ideation. The result is supported by a study collected data from the National Health and Nutrition Examination Survey which demonstrated that income to poverty ratio was one of the most important correlates for suicidal ideation [46]. The majority of seniors with self-rated poor financial state especially who unable to guarantee the basic life have to undergo much more problem such as physical illness, mental disorder and lack of social support which would further produce wish to commit suicide. Although mood disorder such as anxiety and particularly depression has been repeatedly proved to be the key risk factor in high-income countries, an impulse-control disorder caused by economic distress and discordant family relations is the strongest predictor in low-and-middle income countries particularly China [44]. China has been proved to be one of the countries which have the low prevalence of mental illness among suicide victims [47]. This may be the reason why psychological distress measured by K10 happened not to be the strongest predictor in this study. Therefore, suicide intervention for older people should pay more attention to economic status and not be restricted to psychological interventions.

Strengths and limitations

This study had some limitations. First, although the items are commonly used by existing studies [21], one item measure of suicidal ideation and interpersonal trust is less reliable and accuracy than more detailed measurement, which cannot exclude the possibility of measurement error. Suicidal ideation could be biased reporting by having different interpretations of what “serious” means. Interpersonal trust may be under-reporting biased in consideration of interpersonal harmony is the core value of Chinese culture. Another limitation of the measure of interpersonal trust is that the elderly were not asked to consider different groups, like family, neighbors, friends. However, we believe that as long as there is a trusted person, whether this person is relatives or neighbors, the elderly could obtain benefits of trust which include reducing the possibility of depression and loneliness and improving health. Second, it is possible that suicidal ideation shapes report of interpersonal trust. Seniors with suicidal ideation may be preoccupied with negative thinking and may misinterpret others as untrustworthy. The cross-sectional survey design does not permit the determination of the cause-effect relationship of suicidal ideation. Third, subjective measures instead of objective information might be subject to seniors’ recall bias. Finally, there may be other confounding factors than those available for consideration in this study. Despite these limitations, by using data from a large size of the sample, our study was given a high degree of statistical power. As far as we know, this is the first study to investigate the association between suicidal ideation and interpersonal trust among Chinese elderly. This study extends the literature about the role interpersonal trust plays in suicidal ideation and provides additional targets for interventions to prevent suicide in older adults. Future research about interpersonal trust can focus on its clinical application in suicide risk assessment.

Conclusions

Our findings revealed that interpersonal mistrust is a possible risk factor for suicidal ideation. Besides, gender, education, self-rated economic status, self-rated health status and relationship with family in 1 month were significantly associated with suicidal ideation in the past 1 year. The results of this study suggested that multi-faceted interventions for seniors including activities which can establish trust would be conductive to reduce the risk of suicidal ideation.

Acknowledgements

We acknowledge the Center for Health Economics Experiment and Public Policy, School of Public Health, Shandong University. In addition, we highly acknowledge all investigators who participates the Survey of the Shandong Elderly Family Health Service.
The verbal informed consent was obtained from each participant prior to the survey and Academic Research Ethics Committee of Shandong University School of Public Health confirmed this form of consent and approved the study protocol.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Peter T, Roberts LW, Buzdugan R. Suicidal ideation among Canadian youth: a multivariate analysis. Arch Suicide Res. 2008;12(3):263–75.PubMedCrossRef Peter T, Roberts LW, Buzdugan R. Suicidal ideation among Canadian youth: a multivariate analysis. Arch Suicide Res. 2008;12(3):263–75.PubMedCrossRef
2.
Zurück zum Zitat Xu H, et al. A cross-sectional study on risk factors and their interactions with suicidal ideation among the elderly in rural communities of Hunan, China. BMJ Open. 2016;6(4):e010914.PubMedPubMedCentralCrossRef Xu H, et al. A cross-sectional study on risk factors and their interactions with suicidal ideation among the elderly in rural communities of Hunan, China. BMJ Open. 2016;6(4):e010914.PubMedPubMedCentralCrossRef
3.
Zurück zum Zitat Sareen J, et al. Anxiety disorders and risk for suicidal ideation and suicide attempts: a population-based longitudinal study of adults. Arch Gen Psychiatry. 2005;62(11):1249–57.PubMedCrossRef Sareen J, et al. Anxiety disorders and risk for suicidal ideation and suicide attempts: a population-based longitudinal study of adults. Arch Gen Psychiatry. 2005;62(11):1249–57.PubMedCrossRef
4.
Zurück zum Zitat Nock MK, et al. Mental disorders, comorbidity and suicidal behavior: results from the National Comorbidity Survey Replication. Mol Psychiatry. 2010;15(8):868–76.PubMedCrossRef Nock MK, et al. Mental disorders, comorbidity and suicidal behavior: results from the National Comorbidity Survey Replication. Mol Psychiatry. 2010;15(8):868–76.PubMedCrossRef
5.
Zurück zum Zitat Simpson JA. Psychological foundations of trust. Curr Dir Psychol Sci. 2007;16(5):264–8.CrossRef Simpson JA. Psychological foundations of trust. Curr Dir Psychol Sci. 2007;16(5):264–8.CrossRef
6.
Zurück zum Zitat Giddens A. The consequences of modernity[M]. Wiley; 2013. Giddens A. The consequences of modernity[M]. Wiley; 2013.
7.
Zurück zum Zitat Fujiwara T, Kawachi I. A prospective study of individual-level social capital and major depression in the United States. J Epidemiol Community Health. 2008;62(7):627–33.PubMedCrossRef Fujiwara T, Kawachi I. A prospective study of individual-level social capital and major depression in the United States. J Epidemiol Community Health. 2008;62(7):627–33.PubMedCrossRef
8.
Zurück zum Zitat Pollack CE, Knesebeck OVD. Social capital and health among the aged: comparisons between the United States and Germany. Health Place. 2004;10(4):383–91.PubMedCrossRef Pollack CE, Knesebeck OVD. Social capital and health among the aged: comparisons between the United States and Germany. Health Place. 2004;10(4):383–91.PubMedCrossRef
9.
Zurück zum Zitat Phongsavan P, et al. Social capital, socio-economic status and psychological distress among Australian adults. Soc Sci Med. 2006;63(10):2546–61.PubMedCrossRef Phongsavan P, et al. Social capital, socio-economic status and psychological distress among Australian adults. Soc Sci Med. 2006;63(10):2546–61.PubMedCrossRef
10.
Zurück zum Zitat Rotenberg KJ. Loneliness and interpersonal trust. J Soc Clin Psychol. 1994;13(2):152–73.CrossRef Rotenberg KJ. Loneliness and interpersonal trust. J Soc Clin Psychol. 1994;13(2):152–73.CrossRef
11.
Zurück zum Zitat Yip W, et al. Does social capital enhance health and well-being? Evidence from rural China. Soc Sci Med. 2007;64(1):35–49.PubMedCrossRef Yip W, et al. Does social capital enhance health and well-being? Evidence from rural China. Soc Sci Med. 2007;64(1):35–49.PubMedCrossRef
12.
Zurück zum Zitat Kelly BD, et al. Social capital and suicide in 11 European countries: an ecological analysis. Soc Psychiatry Psychiatr Epidemiol. 2009;44(11):971–7.PubMedCrossRef Kelly BD, et al. Social capital and suicide in 11 European countries: an ecological analysis. Soc Psychiatry Psychiatr Epidemiol. 2009;44(11):971–7.PubMedCrossRef
13.
Zurück zum Zitat Marina E, et al. Suicidal ideation and reported suicide attempts in Greece during the economic crisis. World Psychiatry Off J World Psychiatr Assoc. 2013;12(1):53–9. Marina E, et al. Suicidal ideation and reported suicide attempts in Greece during the economic crisis. World Psychiatry Off J World Psychiatr Assoc. 2013;12(1):53–9.
14.
Zurück zum Zitat Lester D, Gatto JL. Interpersonal trust, depression, and suicidal ideation in teenagers. Psychol Rep. 1990;67(1):786–6.PubMedCrossRef Lester D, Gatto JL. Interpersonal trust, depression, and suicidal ideation in teenagers. Psychol Rep. 1990;67(1):786–6.PubMedCrossRef
15.
Zurück zum Zitat Hill R M, et al. Interpersonal trust and suicide ideation among adolescent psychiatric inpatients: An indirect effect via perceived burdensomeness[J]. Suicide Life Threat. Behav. 2019;49(1):240–52.PubMedCrossRef Hill R M, et al. Interpersonal trust and suicide ideation among adolescent psychiatric inpatients: An indirect effect via perceived burdensomeness[J]. Suicide Life Threat. Behav. 2019;49(1):240–52.PubMedCrossRef
16.
Zurück zum Zitat Decarli C. Mild cognitive impairment: prevalence, prognosis, aetiology, and treatment. Lancet Neurol. 2003;2(1):15–21.PubMedCrossRef Decarli C. Mild cognitive impairment: prevalence, prognosis, aetiology, and treatment. Lancet Neurol. 2003;2(1):15–21.PubMedCrossRef
17.
Zurück zum Zitat Demura S, et al. The prevalence of falling and status of physical function among elderly individuals with locomotive and visual/hearing disorders. Arch Gerontol Geriatr. 2013;57(3):333–8.PubMedCrossRef Demura S, et al. The prevalence of falling and status of physical function among elderly individuals with locomotive and visual/hearing disorders. Arch Gerontol Geriatr. 2013;57(3):333–8.PubMedCrossRef
18.
Zurück zum Zitat Noguchi M, et al. Social capital and suicidal ideation in community-dwelling older residents: a multilevel analysis of 10,094 subjects in Japan[J]. Am J Geriatr Psychiatry. 2017;25(1):37–47.PubMedCrossRef Noguchi M, et al. Social capital and suicidal ideation in community-dwelling older residents: a multilevel analysis of 10,094 subjects in Japan[J]. Am J Geriatr Psychiatry. 2017;25(1):37–47.PubMedCrossRef
19.
Zurück zum Zitat Okamoto M, et al. Social capital and suicide: an ecological study in Tokyo, Japan. Environ Health Prev Med. 2013;18(4):306–12.PubMedCrossRef Okamoto M, et al. Social capital and suicide: an ecological study in Tokyo, Japan. Environ Health Prev Med. 2013;18(4):306–12.PubMedCrossRef
20.
Zurück zum Zitat Eiji Y. Comparison of social Trust's effect on suicide ideation between urban and non-urban areas: the case of Japanese adults in 2006. Soc Sci Med. 2015;140:118–26.CrossRef Eiji Y. Comparison of social Trust's effect on suicide ideation between urban and non-urban areas: the case of Japanese adults in 2006. Soc Sci Med. 2015;140:118–26.CrossRef
21.
Zurück zum Zitat Kim J Y ,et al. Association between interpersonal trust, reciprocity, and suicidal behaviors: A longitudinal cohort study in South Korea[J]. Prev Med. 2017; 99:218-21.PubMedCrossRef Kim J Y ,et al. Association between interpersonal trust, reciprocity, and suicidal behaviors: A longitudinal cohort study in South Korea[J]. Prev Med. 2017; 99:218-21.PubMedCrossRef
22.
Zurück zum Zitat Abubakar I I, et al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385(9963):117–71.CrossRef Abubakar I I, et al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385(9963):117–71.CrossRef
23.
Zurück zum Zitat Phillips M R, Li X, Zhang Y. Suicide rates in China, 1995–99. Lancet. 2002;359(9309):835–40.PubMedCrossRef Phillips M R, Li X, Zhang Y. Suicide rates in China, 1995–99. Lancet. 2002;359(9309):835–40.PubMedCrossRef
24.
Zurück zum Zitat Wang CW, et al. Suicide rates in China from 2002 to 2011: an update. Soc Psychiatry Psychiatr Epidemiol. 2014;49(6):929–41.PubMedCrossRef Wang CW, et al. Suicide rates in China from 2002 to 2011: an update. Soc Psychiatry Psychiatr Epidemiol. 2014;49(6):929–41.PubMedCrossRef
25.
Zurück zum Zitat Li X, Xiao Z, Xiao S. Suicide among the elderly in mainland China. Psychogeriatrics. 2009;9(2):62–66.PubMedCrossRef Li X, Xiao Z, Xiao S. Suicide among the elderly in mainland China. Psychogeriatrics. 2009;9(2):62–66.PubMedCrossRef
26.
Zurück zum Zitat United Nations: World Population Prospects, the 2012 Revision. New York: United Nations; 2013 United Nations: World Population Prospects, the 2012 Revision. New York: United Nations; 2013
27.
Zurück zum Zitat Goldstein RB, et al. The prediction of suicide. Sensitivity, specificity, and predictive value of a multivariate model applied to suicide among 1906 patients with affective disorders. Arch Gen Psychiatry. 1991;48(5):418–22.PubMedCrossRef Goldstein RB, et al. The prediction of suicide. Sensitivity, specificity, and predictive value of a multivariate model applied to suicide among 1906 patients with affective disorders. Arch Gen Psychiatry. 1991;48(5):418–22.PubMedCrossRef
28.
Zurück zum Zitat Wang Q, et al. Association of anthropometric indices of obesity with hypertension in Chinese elderly: an analysis of age and gender differences. Int J Environ Res Public Health. 2018;15(4):801.PubMedCentralCrossRef Wang Q, et al. Association of anthropometric indices of obesity with hypertension in Chinese elderly: an analysis of age and gender differences. Int J Environ Res Public Health. 2018;15(4):801.PubMedCentralCrossRef
29.
Zurück zum Zitat Kessler RC, et al. Trends in Suicide Ideation, Plans, Gestures, and Attempts in the United States, 1990–1992 to 2001–2003. JAMA. 2005;293(20):2487–95.PubMedCrossRef Kessler RC, et al. Trends in Suicide Ideation, Plans, Gestures, and Attempts in the United States, 1990–1992 to 2001–2003. JAMA. 2005;293(20):2487–95.PubMedCrossRef
30.
Zurück zum Zitat Ge D, et al. Exploring the risk factors of suicidal ideation among the seniors in Shandong, China: a path analysis. J Affect Disord. 2017;207:393–7.PubMedCrossRef Ge D, et al. Exploring the risk factors of suicidal ideation among the seniors in Shandong, China: a path analysis. J Affect Disord. 2017;207:393–7.PubMedCrossRef
31.
Zurück zum Zitat Cairney J, et al. Evaluation of 2 measures of psychological distress as screeners for depression in the general population. Can J Psychiatr. 2007;52(2):111–20.CrossRef Cairney J, et al. Evaluation of 2 measures of psychological distress as screeners for depression in the general population. Can J Psychiatr. 2007;52(2):111–20.CrossRef
32.
Zurück zum Zitat Zhou C, et al. Reliability and validity of 10-item Kessler scale (K10) Chinese version in evaluation of mental health status of Chinese population. Chin J Clin Psychol. 2008;16(6):627–9. Zhou C, et al. Reliability and validity of 10-item Kessler scale (K10) Chinese version in evaluation of mental health status of Chinese population. Chin J Clin Psychol. 2008;16(6):627–9.
33.
Zurück zum Zitat O'Connor SS, et al. The association between the Kessler 10 and suicidality: a cross-sectional analysis. Compr Psychiatry. 2012;53(1):48–53.PubMedCrossRef O'Connor SS, et al. The association between the Kessler 10 and suicidality: a cross-sectional analysis. Compr Psychiatry. 2012;53(1):48–53.PubMedCrossRef
34.
Zurück zum Zitat Chamberlain P, et al. Suicidal ideation: the clinical utility of the K10. Crisis. 2009;30(1):39–42.PubMedCrossRef Chamberlain P, et al. Suicidal ideation: the clinical utility of the K10. Crisis. 2009;30(1):39–42.PubMedCrossRef
35.
Zurück zum Zitat Li Y, Pickles A, Savage M. Social capital and social Trust in Britain. Eur Sociol Rev. 2005;21(2):109–23.CrossRef Li Y, Pickles A, Savage M. Social capital and social Trust in Britain. Eur Sociol Rev. 2005;21(2):109–23.CrossRef
36.
Zurück zum Zitat Hamano T, et al. Social capital and psychological distress of elderly in Japanese rural communities. Stress Health. 2011;27(2):163–9.PubMedCrossRef Hamano T, et al. Social capital and psychological distress of elderly in Japanese rural communities. Stress Health. 2011;27(2):163–9.PubMedCrossRef
37.
Zurück zum Zitat Lish J D, et al. Suicide screening in a primary care setting at a Veterans Affairs Medical Center. Psychosomatics. 1996;37(5):413–24.PubMedCrossRef Lish J D, et al. Suicide screening in a primary care setting at a Veterans Affairs Medical Center. Psychosomatics. 1996;37(5):413–24.PubMedCrossRef
38.
Zurück zum Zitat Lee S, et al. Lifetime prevalence of suicide ideation, plan, and attempt in metropolitan China. Acta Psychiatr Scand. 2007;116(6):429–37.PubMedCrossRef Lee S, et al. Lifetime prevalence of suicide ideation, plan, and attempt in metropolitan China. Acta Psychiatr Scand. 2007;116(6):429–37.PubMedCrossRef
39.
Zurück zum Zitat Zhang J, et al. The change in suicide rates between 2002 and 2011 in China. Suicide Life Threat Behav. 2014;44(5):560–8.PubMedCrossRef Zhang J, et al. The change in suicide rates between 2002 and 2011 in China. Suicide Life Threat Behav. 2014;44(5):560–8.PubMedCrossRef
40.
Zurück zum Zitat Ono Y, et al. Epidemiology of suicidal ideation and help-seeking behaviors among the elderly in Japan. Psychiatr Clin Neurosci. 2001;55(6):605–10.CrossRef Ono Y, et al. Epidemiology of suicidal ideation and help-seeking behaviors among the elderly in Japan. Psychiatr Clin Neurosci. 2001;55(6):605–10.CrossRef
41.
Zurück zum Zitat Scm YYM, et al. Suicidal ideation and associated factors among community-dwelling elders in Taiwan. Psychiatr Clin Neurosci. 2005;59(4):365–71.CrossRef Scm YYM, et al. Suicidal ideation and associated factors among community-dwelling elders in Taiwan. Psychiatr Clin Neurosci. 2005;59(4):365–71.CrossRef
42.
Zurück zum Zitat Li Y, et al. Factors associated with suicidal behaviors in mainland China: a meta-analysis. BMC Public Health. 2012;12(1):524. Li Y, et al. Factors associated with suicidal behaviors in mainland China: a meta-analysis. BMC Public Health. 2012;12(1):524.
43.
Zurück zum Zitat Qin P, Mortensen PB. Specific characteristics of suicide in China. Acta Psychiatr Scand. 2001;103(2):117–21.PubMedCrossRef Qin P, Mortensen PB. Specific characteristics of suicide in China. Acta Psychiatr Scand. 2001;103(2):117–21.PubMedCrossRef
44.
46.
Zurück zum Zitat Tektonidou MG, Dasgupta A, Ward MM. Suicidal ideation among adults with arthritis: prevalence and subgroups at highest risk: data from the 2007–2008 National Health and nutrition examination survey. Arthritis Care Res. 2011;63(9):1322–33.CrossRef Tektonidou MG, Dasgupta A, Ward MM. Suicidal ideation among adults with arthritis: prevalence and subgroups at highest risk: data from the 2007–2008 National Health and nutrition examination survey. Arthritis Care Res. 2011;63(9):1322–33.CrossRef
47.
Zurück zum Zitat Jie Z, ShuiYuan X, Liang Z. Mental disorders and suicide among young rural Chinese: a case-control psychological autopsy study. Am J Psychiatr. 2010;167(7):773–81.CrossRef Jie Z, ShuiYuan X, Liang Z. Mental disorders and suicide among young rural Chinese: a case-control psychological autopsy study. Am J Psychiatr. 2010;167(7):773–81.CrossRef
Metadaten
Titel
Association between interpersonal trust and suicidal ideation in older adults: a cross-sectional analysis of 7070 subjects in Shandong, China
verfasst von
Zihang Yu
Lingzhong Xu
Long Sun
Jiao Zhang
Wenzhe Qin
Jiajia Li
Gan Ding
Qian Wang
Jing Zhu
Su Xie
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Psychiatry / Ausgabe 1/2019
Elektronische ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-019-2186-4

Weitere Artikel der Ausgabe 1/2019

BMC Psychiatry 1/2019 Zur Ausgabe