Skip to main content

Measuring character strengths as possible protective factors against suicidal ideation in older Chinese adults: a cross-sectional study

Abstract

Background

Suicide is a global issue among the elderly. The number of older people committing suicide is proliferating, and the elderly suicide rate is the highest among all age groups in China. A better understanding of the possible protective factors against suicidal ideation is necessary to facilitate prevention and intervention efforts. The objectives of the present study are threefold. First, this study aims to examine the psychometric properties of the three-dimensional inventory of character strengths (TICS) with a sample of older adults. Second, this study intends to investigate correlations among suicide ideation, wellbeing, and character strengths. Third, the study seeks to explore the possible protective roles of the three character strengths and wellbeing in explaining suicidal ideation among older adults.

Methods

A cross-sectional study comprising 308 older adults aged at least 50 years old from nursing homes was conducted. Four questionnaires, namely, the TICS, the Geriatric Suicide Ideation Scale—10 items, the Brief Inventory of Thriving, and the Satisfaction with Life Scale, were used. Exploratory structural equation modeling, intraclass correlation coefficients, partial correlations, and sets of hierarchical regressions were adopted to estimate and report the results.

Results

TICS could be used to assess the character strengths (i.e., caring, inquisitiveness, and self-control) among older adults with an acceptable goodness-of-fit (chi square = 157.30, df = 63, p < 0.001, CFI = 0.94, TLI = 0.90, RMSEA = 0.07, 90% CI = [0.06, 0.08]). Wellbeing and character strengths exhibited a negative association with suicidal ideation among older adults. Moreover, character strengths showed an independently cross-sectional relationship with suicidal ideation, explaining 65.1% of the variance of suicidal ideation after controlling for the wellbeing and demographics.

Conclusion

This study indicated that character strengths were associated with low levels of suicidal ideation. Therefore, the protective factors against suicidal ideation among older adults should be given additional attention.

Peer Review reports

Background

The cross-national patterns of suicide rates, which can be influenced by gender and other factors, differ. Nevertheless, suicide rates generally increase with age. Since 1987, when China’s suicide mortality statistics initially became available from the Ministry of Health, suicide rates in older adults have always been higher than those in young adults and in other countries [1]. As the population in China ages, the number of older people also increases; hence, suicide rates can worsen. Therefore, an improved understanding of this phenomenon is necessary to facilitate prevention and intervention efforts.

Previous studies have focused on the risk factors of suicidal ideation among older adults. From the interpersonal-psychological theory of suicide [2, 3], two active psychological constructions, that is, thwarted belongingness and perceived burdensomeness, predict suicidal ideation. Thwarted belongingness refers to social alienation, whereas perceived burden occurs when older adults regard themselves as a burden to others, thus potentially generating self-hatred [4]. The interpersonal-psychological theory explains a series of risk factors for suicidal ideation [5]. Many other previous studies in this area have demonstrated that these risk factors, such as the older adults’ age, financial strain, poor health, depression, filial piety of children, social network, low perceived control, and loneliness, are correlated with suicidal ideation [1]. For instance, negative emotions and the lack of positive ones are highly correlated with suicidal ideation and can reduce the hope of older adults to lead a productive life [6]. A sense of loneliness may stimulate a high degree of threat surveillance, ultimately reducing executive functioning and weakening an individual’s ability to participate in healthy behaviors required for self-control, such as regular exercise [7]. Depression and hopelessness are proven markers of increased suicidal ideation in older adults [8]. Negative events in the family, such as quarrels and illness and death of family members and friends, are also closely relevant to suicidal ideation [9]. Older adults, who isolate themselves from society, feel lonely, and worry about their future, may come up with the idea of ending their life to stop their suffering. These studies have indicated that negative individual (e.g., hopelessness) and social (e.g., isolation) factors can contribute to the risk of suicidal ideation of older adults. Recently, with the emergence of positive psychology, which has been defined as the scientific study of optimal human functioning [10], an increasing number of researchers has shifted their focus from passive influential factors to the effect of positive factors [11].

Protective factors are conditions or attributes (e.g., living environment, living conditions, skills, strengths, resources, personal character, supports, or coping strategies) that help in the prevention or reduction of suicide ideations and suicidal behaviors. An improved understanding of these factors can help health care providers and mental health professionals to prevent suicidal ideation and enhance protective factors via interventions. Several protective factors, such as a sense of belongingness [12], reasons for living, and perceived social support [9], may lessen suicidal ideation among older adults. For instance, hope is a robust protective factor against suicidal ideation [13]. Researchers observed that hope is a sign of decreased perceived burdensomeness and thwarted belongingness and can play a role against hopelessness when dealing with suicidal ideation [14]. Moreover, after suffering from bereavement, which reduces the wellbeing of older adults, a heightened social trust can reduce the difficulty of the situation for older adults and enable them to find social companionship aside from their family [15]. Therefore, trusting social interaction can have a significant influence on preventing older adults from withdrawing into themselves day by day and reducing loneliness and suicidal ideation [16].

In positive psychology, two major dimensions contribute to mental health, that is, wellbeing and character strength. Wellbeing is a multidimensional construct [17] that includes subjective wellbeing (e.g., satisfaction with life) and psychological wellbeing (i.e., thriving). Previous studies have identified that decreased wellbeing is linked to high suicidal ideation [2, 5]. Cross-sectional, longitudinal, and experimental data have also indicated that wellbeing can lead to diverse positive outcomes on mental health [18].

In addition, character strengths are positive patterns embodied in emotions, thoughts, and behaviors that facilitate personal development and are universally valued [19]. Peterson and Seligman proposed the Values in Action Inventory of Strengths (VIA-IS) to assess 24 character strengths categorized under six virtues [19]. However, studies indicated that this English questionnaire had difficulty in converting factor structures among various cultures and countries. Thus, the model relating six higher-order virtues of 24 character strengths may be inconsistent across cultures [20,21,22]. Later, studies found the three-dimensional model of character strengths as a reliable solution to character strength structure [23, 24]. The three character strengths are caring (i.e., show of love, care, and gratitude for others), inquisitiveness (i.e., curiosity and passion for creativity), and self-control (i.e., quality of persistence and self-control). The three-dimensional inventory of character strengths (TICS) was developed and validated [25, 26] and was successfully applied in various populations, such as undergraduates, community participants, and inpatients [24, 27]. This model shows consistency with Asian and Western populations and among people of different gender, age, educational attainment, and marital status categories [27]. However, the new instrument, TICS, has not been applied in our target population, the elder population. Hence, this study aimed to determine whether TICS is applicable to older people.

Cross-sectional studies have indicated that character strengths are associated with positive mental health outcomes, such as life satisfaction and happiness, wellbeing, positive emotions, quality of life [28, 29], low levels of perceived life stress, and a meaningful life [30, 31]. One study determined that character strengths were associated with reduced suicidal ideation among students [32]. Therefore, the present study aims to apply TICS to older adults and further examine the protective role of character strengths against suicidal ideation. The current research is based on and ensures the continuity of the previous research. In addition, this study further examines if character strengths exhibit an interdependent association with suicidal ideation beyond the influence of wellbeing.

In summary, this study attempts to explore the relationships between wellbeing and character strengths on suicidal ideation among Chinese older adults from the perspective of positive psychology. The aims are twofold. First, this work examines the psychometric properties of TICS with a sample of older adults to expand the applicability of this newly developed instrument. The valid instrument for the elderly can be helpful in future character strength-based interventions. For example, practitioners can use the TICS to help participants identify their signature character strengths, which is one of the commonly used strategies in character strength-based interventions [33]. Second, relationships between suicidal ideation and character strengths, in conjunction with two dimensions of wellbeing (i.e., life satisfaction and thriving), are explored. This study further examines whether character strengths could exhibit an independent association with suicidal ideation beyond the influence of wellbeing and demographics. We hypothesized that after adjusting for demographic variables, wellbeing and character strengths show a significantly negative association with suicide ideation among Chinese older adults. Furthermore, character strengths exhibit a significant additional variance in suicide ideation scores after accounting for the wellbeing.

Methods

Participants

A total of 308 participants (female: N = 151, male: N = 157; mean age = 73.06 years, standard deviation [SD] = 8.75 years, range = 53–91 years) were recruited from nine public nursing homes from nine districts in the city of Chongqing, China.

Sampling and recruitment

Nursing homes have become an alternative residence not only for frail older people but also for the broader elderly population to spend their old age [34]. Therefore, we left the recruitment information in nursing homes to reach our target population. An opportunity sampling method was used to recruit participants in this study. The staff helped in asking older adults if they were interested in participating in the research. Data were collected from March 2017 to May 2018. The eligibility criteria for participants included the following: (a) at least 50 years old; (b) volunteers to complete the questionnaires; (c) in good physical and mental health; (d) cognitive fitness and sufficient education to understand the questionnaire clearly. Older adults were ineligible if they have a cognitive impairment and a clinical diagnosis of mental illness. The exclusion criteria were assessed through prescreening conducted by well-trained and seasoned staff working in the nursing home. The older adults, who presented circumstances (e.g., dementia, stroke, and cerebral palsy) in which they could not complete the survey, would be referred to special care and were excluded from our study. Whether the subjects had suicidal ideation was not included in the recruitment criteria. Eligible participants were referred to our research team to complete the questionnaires.

Study procedure

Participants were invited to attend a 30-min paper-and-pencil test comprising four questionnaires, which is presented in three blocks (one questionnaire in each block, except for the wellbeing questionnaires that were presented together in one block). The first, second, and third blocks contained 15 items that assess character strengths, 10 items that measure suicidal ideation, and 15 items that evaluate wellbeing, respectively (see the “Measures” section for details on each questionnaire). Participants were given a 3–5-min rest after completing each block to reduce fatigue and cognitive load. Demographic information (e.g., gender and age) was collected after they completed the questionnaire. All questionnaires, including the demographic information, were self-reported. Two social workers and a Master of Social Work student assisted the older people with poor eyesight and those that may have misunderstood the questionnaires in answering. They supervised the tests and provided prompt instructions to participants during the tests. No inducement was involved in the process. We did not provide the participants with any compensation or incentive. This study was conducted in Chinese, and all the materials used in the study (e.g., the recruitment information and questionnaires) were presented in Chinese.

Measures

TICS

TICS is a brief, newly developed scale for measuring character strength, that is, caring (e.g., “Respect for the group’s decision is important to me.”), inquisitiveness (e.g., “I can always come up with new ways to do things.”), and self-control (e.g., “I am a highly self-disciplined person.”), in diverse populations [24]. The three factors of character strength have been verified in previous studies [21, 23, 27]. The current 15-item TICS showed sound psychometric characteristics among westerners, easterners, community population, and medical samples. Participants were required to rate each item from 1 (“very much unlike me”) to 5 (“very much like me”). Subscale scores were obtained by averaging across items in the scale.

Geriatric suicide ideation scale—10 items (GSIS–10)

The GSIS–10 is a subscale of the Geriatric Suicide Ideation Scale (GSIS), which is commonly used to measure suicidal ideation among old adults (e.g., “Hope my life will end soon”). GSIS is a 31-item scale used to assess in four dimensions (i.e., suicide ideation, death ideation, loss of personal and social worth, and perceived meaning in life) [35]. The 10-item suicide ideation subscale measured in one dimension, that is, suicidal ideation and differentiated psychiatric patients from non-patients. Participants were asked to rate the extent to which they agreed with each item using a five-point Likert scale (1 = “strongly disagree” to 5 = “strongly agree”). High mean scores indicated high suicidal ideation. The reliability and validity of the Chinese version of GSIS were confirmed [36].

Brief inventory of thriving (BIT)

The BIT comprises 10 important personal life facets (10 items) that determine the level of thriving and is a comprehensive measure of wellbeing (e.g., “I am optimistic about my future.”) [37]. A previous study evaluated the psychometric properties of BIT in China [38]. A total of 705 community participants, including older adults, completed the questionnaire and presented evidence of the Chinese version of BIT: a good internal consistency (Cronbach’s alpha > 0.85), a solid factor structure (χ2 = 60.35, df = 35, CFI = 0.96, TLI = 0.95, RMSEA = 0.05, 90% CI = [0.03, 0.06]), and good convergent (i.e., positively related to life meaning and positive affect, r = 0.34–0.65, p < 0.01), discriminant (i.e., negatively related to psychopathology symptoms, r = − 0.23 to − 0.48, p < 0.01), and incremental validities (i.e., additionally contributed 7.00% variance to psychopathology symptoms after controlling for wellbeing). Accordingly, all of these facets of BIT are pertinent to older adults in China, including those who live in nursing homes. In this study, the participants were asked to respond to each item using a five-point Likert scale (1 = “strongly disagree” to 5 = “strongly agree”).

Satisfaction with life scale (SWLS)

Diener and Emmons constructed this widely used five-item self-reported scale that measures life satisfaction (e.g., “In most ways, my life is close to my ideal.”) [39]. SWLS measures one dimension of wellbeing and is a cognitive evaluation or judgment of one’s life. The participants were asked to answer each item using a seven-point Likert scale (1 = “strongly disagree” to 7 = “strongly agree”). Previous studies showed that the coefficient alpha (0.87) and test–retest coefficient (0.82) were relatively high in various populations [40].

Data analysis plan

All pieces of questionnaires have been double-checked with the help of the social workers and staff of the nursing homes to guarantee the quality of data input. The dataset of the current study has no missing item and data.

The data analysis plan had three steps. First, an exploratory structural equation modeling (ESEM) was conducted to examine the three-factor structure of TICS among older adults. In this study, the comparative fit index (CFI), the Tucker–Lewis Index (TLI), and the root mean square error of approximation (RMSEA) with its 90% confidence interval were examined. Brown noted that CFI > 0.95, TLI > 0.95, and RMSEA < 0.05 or 0.08 suggest an adequate and excellent fit to the data [41].

Second, the intraclass correlation coefficients (ICC) were used to indicate the reliability of all measures in the current sample, which could evaluate the 95% confidence interval where the true ICC value lands on [42]. Cronbach’s alpha is a special application of ICC [42, 43], but it may provide a biased impression of the poor when the number of the items decreased [44]. Therefore, we used ICC parameters with the 95% confidence interval in the current study, which has been regarded as a desirable index of the level of reliability [42]. In the current study, the “two-way random-effects model” and “consistency” type of ICC form were adopted to calculate the ICC parameters [42]. Koo and Li [42] noted that the ICC values less than 0.50, between 0.50 and 0.75, and 0.75 and 0.90, and greater than 0.90 are indicative of poor, moderate, good, and excellent reliability, respectively.

Third, the descriptive statistics and partial correlations among character strengths, suicidal ideation, and wellbeing were calculated with gender and age as the control variables. The correlations between character strengths and wellbeing were expected to be positive, whereas those between character strengths and suicidal ideation were expected to be negative. Fourth, sets of hierarchical regressions using the entry method were performed to explore the possible protective roles of the three character strengths and wellbeing in explaining suicidal ideation among older adults, with the adjustment of two demographic variables (i.e., gender and age). Suicidal ideation was set as the dependent variable in the hierarchical regression. The two demographic variables (i.e., gender and age) were used in Step 1, followed by two wellbeing indicators in Step 2. Then, the three character strengths were included in Step 3. This exploratory investigation would show the relative roles of character strengths and wellbeing in explaining suicidal ideation among older adults. SPSS 24.0 and Mplus 7.4 were used to conduct the aforementioned analyses.

Results

ESEM analysis

The three-factor correlated model TICS exhibited an acceptable goodness-of-fit (chi square = 157.30, df = 63, p < 0.001, CFI = 0.94, TLI = 0.90, RMSEA = 0.07, 90% CI = [0.06, 0.08]). Furthermore, the standardized parameter estimates from this ESEM model, reported in Table 1, showed that the TICS model held a clear factor structure. These estimates showed that items 1, 2, 4, 6, and 10 loaded prominently on the self-control factor, items 3, 5, 7, 8, and 9 on inquisitiveness factor, and items 11, 12, 13, 14, and 15 on caring factor. All were consistent with its intended factor loadings.

Table 1 Standardized parameter estimates from the ESEM of TICS

Reliability

The reliability of TICS in the current sample was acceptable, with ICC = 0.69 [95% CI = 0.63–0.74] for self-control, ICC = 0.62 [95% CI = 0.55–0.68] for inquisitiveness, and ICC = 0.77 [95% CI = 0.73–0.81] for caring. The GSIS in the older adults showed a moderate to good reliability with ICC = 0.75 [95% CI = 0.71–0.79]. The reliability of BIT was moderate (ICC = 0.69, 95% CI = 0.63–0.74]), and the reliability of SWLS was moderate to good (ICC = 0.76, 95% CI = 0.72–0.80).

Descriptive and correlation analysis

Table 2 shows the means and SDs of the three character strengths, suicidal ideation, and wellbeing. The three strengths of character, caring, self-control and inquisitiveness, showed negative correlations (r = − 0.54, − 0.56, and − 0.44, respectively, p < 0.001) with suicidal ideation. Moreover, suicidal ideation was negatively related to thriving (r = − 0.59, p < 0.001) and wellbeing (r = − 0.41, p < 0.001). However, age and gender exhibited an insignificant correlation (r = −0.05 and − 0.01, p = 0.37 and 0.83, respectively) with suicidal ideation. Furthermore, the three character strengths were positively related to the wellbeing measures (r = 0.28 to 0.53, p < 0.001).

Table 2 Descriptive and correlations (N = 308)

These results indicated that not gender and age but wellbeing and character strengths are significant variables in explaining suicidal ideation among older adults. Moreover, low SD indicated the homogeneity of the investigated population.

Hierarchical regression analysis

Collinearity statistics indicated that all VIF values were less than 3; thus, multicollinearity was not an issue among the predictors in the present data. The results were shown in step 1, that is, the gender and age factors did not significantly contribute to the variance of suicidal ideation (t = − 0.16 and − 0.88, p = 0.87 and 0.83, respectively). In step 2, the wellbeing, including life satisfaction and thriving, explained the observed 36.3% variance of suicidal ideation in the nursing home sample (B = − 0.14 and − 0.52, t = − 2.55 and − 9.64, p = 0.01 and p < 0.001, respectively). However, in step 3, the wellbeing, life satisfaction, and thriving did not significantly account for the additional variance of suicidal ideation (t = 1.07 and − 0.93, p = 0.28 and 0.35, respectively) after character strengths and demographics were controlled. Notably, the three character strengths, caring (B = − 0.45, t = − 11.84, p < 0.001), inquisitiveness (B = − 0.33, t = − 7.89, p < 0.001), and self-control (B = − 0.45, t = − 10.83, p < 0.001), were significant contributors that explained a total of 65.1% variance of suicidal ideation, while controlling for wellbeing and demographic variables. Table 3 shows the results.

Table 3 Hierarchical regressions of demographic variables, character strengths, and wellbeing on suicidal ideation (N = 308)

Discussion

In this study, we examined the psychometric properties of TICS with a sample of 308 older adults aged at least 50 years old and the possible protective factors (i.e., character strengths and wellbeing) of suicidal ideation. TICS was found to be consistent in measuring the three character strengths and showed a cross-sectional relationship with suicidal ideation among the older adults.

Results from the second part showed that, contrary to our expectations, wellbeing, including life satisfaction and thriving, was insignificantly related to suicidal ideation after controlling character strengths. This result was inconsistent with multiple previous research studies, which indicated a direct relationship between wellbeing and suicide risk in the healthy and unhealthy population [5, 45]. Notably, character strengths showed an independent association with suicide ideation beyond the effect of wellbeing, explaining a total of 65.1% variance of suicidal ideation in this research. Cognitive factors play a significant role in affecting the suicidal ideation of older adults. Moreover, individuals likely have different perceptions of their wellbeing conditions and different levels of occurrence of suicide ideation even when facing the same circumstances due to the influence of cognition (e.g., cognitive aging, cognitive bias, and appraisal styles). For example, high levels of cognitive functioning have been found to be robustly related to better psychological wellbeing among older adults [46, 47]. By contrast, at a decreased cognitive functioning level, older adults likely experience severe psychological pain (e.g., depression and hopelessness), which increases their risk of suicidal ideation [48]. Moreover, depressed individuals with negative beliefs and cognitive biases (e.g., biased self-referent cognitive style and hopelessness) showed a high level of suicide ideation [49]. Moreover, positive self-appraisals, functioning as a resilient factor, may buffer individuals from suicidal ideation [50, 51]. Character strengths play the role of a cognitive schema, serving to organize categories of information related to oneself, others, and the world [52]. Considerable research findings, including ours, have demonstrated the positive relationship between character strengths and wellbeing across culture, lifespan, and population [25, 26, 32, 53, 54]. Given the same conditions, older people with high character strengths likely perceive difficult moments in life in a less negative manner than those with low character strengths. In this way, they may enjoy better wellbeing and less likely generate suicidal ideation. Therefore, this finding may explain why personal protective factors, namely, character strengths, presented a high percentage of variance (65.1%) of suicide ideation after controlling the effect of social protective factors, namely, wellbeing. However, further studies are necessary. Moreover, in the complete model, life satisfaction did not contribute to the variance of suicidal ideation. Among older adults, particularly those living in nursing homes, a significant difference exists between global life satisfaction, as evaluated by SWLS (which measures one dimension of wellbeing and is a cognitive evaluation or judgment of one’s life), and satisfaction with present life. Therefore, questions in SWLS may have different implications for elderly persons; they may be pleased with the lives they have led but unsatisfied with their current lives.

Among character strengths, a significant negative association was found between the character strength of self-control and suicidal ideation. Our findings were consistent with several studies between westerners and easterners that comprise certain relationships between self-control and suicide. For example, previous studies have proposed that suicide attempts and poor psychological functioning are related [55]. Depressed patients had higher scores on maladaptive schemas, such as recognition seeking, negativity/pessimism, and insufficient self-control, than healthy controls [55]. This finding shows that in different groups, self-control has a significant effect on suicidal ideation or attempts. Moreover, by using the data from the National Survey of Child and Adolescent Wellbeing, researchers observed that self-control predicts suicidal tendencies [56]. The effect of self-control remains significant when controlling for depression in juveniles and previously reported suicidal thoughts and behaviors [56]. Our findings determined that character strengths accounted for a significant additional variance in suicide ideation, which was consistent with this study to a certain degree. Furthermore, previous studies have demonstrated that the effects of self-control on wellbeing and psychosocial adjustment are significant [57, 58]. Therefore, when facing stress and adversity, self-control may promote wellbeing and positive adaptation for older adults [58], which may prevent them from suicide ideation [59].

Second, a high level of the character strength of caring was significantly associated with a low level of suicide ideation among older adults in our study. Although research on a direct relationship between caring and elderly people’s suicidal ideation is limited, one study indicated that caring and connections are important protective factors for adolescent health and wellbeing [60]. Although we did not analyze the influences of different kinds of caring on suicidal ideation, multiple previous research studies explored the relationship between gratitude and suicidal ideation. One research indicated that gratitude was closely associated with less suicidal ideation and suicide attempts among Chinese adolescents [61]. Another research also indicated that gratitude is a protective factor that mediated the negative relationship between humor and suicidal ideation [62]. Our result is consistent with that of previous ones. Phillip Slater [63] noted that the desire for the community, engagement, and dependence are deeply human desires that can create meaning and happiness. Moreover, the thwarted belongingness has been identified as proximal causes of suicidal ideation [2, 5]. Furthermore, older adults who presented agreeableness and conscientiousness likely perceive positive relationships with others and high psychological wellbeing [64], and likely generate suicidal ideation [59]. This notion can be one possible explanation of why caring can be a powerful human strength that plays a role against negative events in life and protect people from suicidal ideation.

Third, the character strength of inquisitiveness was also found to present a significant negative relationship with suicidal ideation among older adults. Numerous previous studies have identified the positive relationship between inquisitiveness (e.g., curiosity and zest) and psychological wellbeing [65, 66]. This relationship has been examined as an important protective factor against suicidal ideation and behaviors [5, 45]. Moreover, high trait curiosity was significantly associated with a lower rate of mortality among the aging population [67]. A recent study directly presented that high curiosity could predict the increased coping efficacy in stopping negative thoughts over time in veterans with suicidal ideation [68]. These findings, including ours, suggested that elderly people with a high level of inquisitiveness have lower tendencies to generate suicidal ideas. One possible reason is that with the character strength of inquisitiveness, older adults likely develop and maintain flexible and adaptive responses to age-related challenges, thereby preventing them from suicidal risks [67].

Last, our results indicated that gender was insignificantly associated with suicidal ideation in the current sample, which was inconsistent with previous studies claiming that the Chinese female group experience a greater risk of suicide than the male group [69, 70]. However, a recent study has demonstrated a downward trend of national male–female differences in elderly suicide rates in China [71]. One possible reason lies in the marked magnitude of differences between urban and rural areas [72]. Rural male–female differences among the elderly contributed most to the national male–female differences in China [71]. The differences between male–female suicide rates in rural areas have been decreasing. Thus, the national male–female differences reduced, whereas the urban male–female differences increased [71]. However, further examinations are needed.

Suicide rates are associated with suicidal ideation in older adults, but research on preventive interventions in this age group is limited [73]. Therefore, the results of this study may be of practical significance, which can enrich the existing research theories and provide theoretical support for subsequent prevention and intervention efforts. Our findings indicated that character strengths were cross-sectionally related to suicidal ideation. Self-control, caring, and inquisitiveness were associated with low levels of suicidal ideation. Therefore, as protective factors of suicidal ideation, strategies that implement certain activities or practices related to character strengths can be used through preventive interventions. Prevention of suicidal ideation should incorporate integrative perspectives to create a series of targeted and indicated interventions in nursing homes, communities, hospitals, and individuals. Strategies should focus on strengthening the character strengths of elderly people to modify their thought trajectory and prevent them from generating suicidal ideation. Thus, further research and application to a wide range of groups for preventing suicidal ideation in older adults in China are timely and necessary.

Limitations

The findings must be interpreted in light of several limitations. First, the primary limitation resides in the cross-sectional nature of the study. The cross-sectional study design prevents us from detecting a direct causal relationship between the nominated possible protective factors in our study and the suicide ideation.

Second, the generalizability of the findings can be regarded as another limitation of the present study. The sample in the study is not a nationwide sample, and only older adults in nursing homes of Chongqing are selected as research subjects. However, Chongqing, with a medium level of development, may have a certain degree of representation. In addition, the current study collected data at nursing homes, which limits the representative of the population. For example, we used the exclusion criteria, such as not diagnosed with depression, to select subjects in this study. Although not having a diagnosis of depression does not mean that the participant is not clinically depressed, we cannot easily generalize our findings to the clinical sample. Some researchers have determined that no direct link exists between depression and suicidality in nonclinical populations [74]. However, depression was considered an important factor influencing suicidal ideation [8]. Therefore, the result of this study cannot be applied to the clinical population with depression.

Third, the sampling and recruitment procedure may influence the results. Allowing the social workers to exclude certain older adults from the recruitment implied the potential to generate a selection bias in the sample, which, though, would be helpful to guarantee that all eligible participants had the basic abilities (e.g., understanding the questions and responding to them) to complete the questionnaire without major difficulties. Moreover, the exclusion criteria should include the acute risk of suicide because those who were at acute risk for suicide would be under significant stressors, have a high level of suicide ideation, and require immediate intervention [75]. The means of convenience sampling was also likely to be biased. In contemporary China, nursing homes are newly developed because of tremendous social change. The traditional family-based support system alone was inadequate to cope with the rapid social change and the increase in the aged population due to the one-child policy in China. Children are busy with work, usually in another city, and therefore have no time to take care of their older parents. Therefore, older adults chose to live in nursing homes. However, some older adults, for example, those who have limited access to nursing homes or living in the community, were excluded from the study sample.

The psychometric properties of the measurements were a noteworthy limitation. The measures we used in this study may have the issue of cross-cultural variations, which influenced the level of reliability. For example, regarding the measures of wellbeing, the concept of “life satisfaction” has been demonstrated to be similarly understood across a wide range of cultures, whereas the Satisfaction with Life Scale showed metric equivalence in different cultures [76,77,78]. The Cronbach’s alpha (similar to the ICC value) is 0.76 in the current sample, which is similar to the older adults from France (0.80) [79], Mexico (0.74) [80], and Ecuador (0.79) [81]. However, the cross-cultural variations of thriving are not well discussed in existing studies. The BIT showed relatively high reliability in older American adults (Cronbach’s alpha = 0.90) [37], whereas the level of reliability is moderate in the current Chinese elderly population (ICC = 0.69). These results indicated that people from different cultures may hold an inconsistent reaction to the concept of “thriving,” which could influence the psychometric properties of BIT in different language versions. Specifically, the emphasis on filial piety (Xiaodao) is rooted in Chinese culture for centuries. The intergenerational co-residence and taking care of parents remain an important obligation of children. These actions are also signs of respect and social support for the older generation, which may directly protect the mental health and wellbeing of older Chinese parents [82,83,84,85]. Therefore, our participants may rate lower scores on certain items of BIT (e.g., I feel a sense of belonging in my community; There are people who appreciate me as a person), which reduce the internal consistency of BIT. Additionally, the living experience and conditions of the participants influence the perception of character strengths. A recent study has demonstrated that demographics (e.g., age, marital status, and retirement status) and living conditions (e.g., living with families and partners) are associated with an individual’s character strengths [86]. For example, the strengths of curiosity are positively related to the living conditions (i.e., living together), whereas the strengths of creativity are negatively associated with the living conditions [86]. All participants in our study lived in the nursing house, separated from their families (e.g., children). Therefore, they may rate lower scores on the item of curiosity but higher scores on the creativity, which may cause certain effects on the internal consistency of the character strengths of inquisitiveness. Moreover, compared with the character strengths of caring, the Cronbach’s alpha of the inquisitiveness has been relatively lower in the surgery inpatient sample [24], who do not live with their families.

Another influencing issue is the length of the instruments. The relatively low level of reliability of TICS and BIT may be associated with the briefness of TICS and BIT as the coefficient (e.g., α), which can be strongly affected by the length of the measurements’ scale [87]. Using Cronbach’s alpha as the indicator may mislead to an impression of poor reliability when using brief scales [27, 44]. One previous research using Ryff’s Scales of Psychological Wellbeing, which comprises 18 questions for six factors, found that the lowest Cronbach’s alpha estimate of one dimension was 0.53 [88]. This finding may indicate that BIT (containing only 10 items) and TICS of inquisitiveness and self-control (each containing five items) can be acceptable. However, the starting level of 0.70 is suggested.

To find additional convincing evidence, future studies should use a multi-wave longitudinal design to investigate the relationship among character strengths, wellbeing, and suicide ideation over time among a generalizable community or clinical samples. Random samples in different circumstances should be used in future studies to reduce the selection bias. The recruitment procedure could also be enhanced by conducting a suicide risk assessment, which is helpful in expanding this work to older adults under different categories of suicide risks (e.g., acute and chronic suicide risks), who may report different levels of previous suicide ideation, planning, and attempts [75]. More studies should be conducted to investigate the psychometric properties of the measurements (e.g., life satisfaction, thriving, and character strengths) before applying the instruments. Specifically, further studies should be conducted to test whether the items in different languages could achieve an equivalent meaning, whether the same concept and construct represent the same behaviors and values in different cultures among different groups, and whether the psychometric properties (e.g., reliability and validity) are of the same measure in various cultures and populations.

Conclusion

In summary, we showed that TICS could be used to assess the character strengths among older adults. Character strengths were associated with low levels of suicidal ideation. As the research on interventions to reduce suicidal ideation and behaviors in older people is limited, we believe that future studies should accumulate similar evidence and provide theoretical support for subsequent interventions.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BIT:

Brief Inventory of Thriving

CFI:

Comparative Fit Index

ESEM:

Exploratory Structural Equation Modelling

GSIS:

Geriatric Suicide Ideation Scale

RMSEA:

Root Mean Square Error of Approximation

SWLS:

Satisfaction with Life Scale

TICS:

Three-Dimensional Inventory of Character Strengths

TLI:

Tucker–Lewis Index

VIA-IS:

Values in Action Inventory of Strengths

VIF:

Variance Inflation Factor

References

  1. 1.

    Zhong B, Chiu HFK, Conwell Y. Rates and characteristics of elderly suicide in China, 2013–14. J Affect Disord. 2016;206:273–9.

    PubMed  Article  Google Scholar 

  2. 2.

    Joiner TE. Why people die by suicide: Harvard University press; 2005.

    Google Scholar 

  3. 3.

    Joiner TE, Van Orden KA, Witte TK, Selby EA, Ribeiro JD, Lewis R, et al. Main predictions of the interpersonal-psychological theory of suicidal behavior: empirical tests in two samples of young adults. J Abnorm Psychol. 2009;118:634–46.

    PubMed  PubMed Central  Article  Google Scholar 

  4. 4.

    Stanley IH, Hom MA, Rogers ML, Hagan CR, Joiner TE. Understanding suicide among older adults: a review of psychological and sociological theories of suicide. Aging Ment Health. 2016;20:113–22.

    PubMed  Article  Google Scholar 

  5. 5.

    Van Orden KA, Witte TK, Cukrowicz KC, Braithwaite SR, Selby EA, Joiner TE. The interpersonal theory of suicide. Psychol Rev. 2010;117:575–600.

    PubMed  PubMed Central  Article  Google Scholar 

  6. 6.

    Luo Y, Waite LJ. Loneliness and mortality among older adults in China. J Gerontol Series B Psychol Sci Soc Sci. 2014;69:633–45.

    Article  Google Scholar 

  7. 7.

    Cacioppo JT, Hawkley LC. Perceived social isolation and cognition. Trends Cogn Sci. 2009;13:447–54.

    PubMed  PubMed Central  Article  Google Scholar 

  8. 8.

    Sirey JA, Bruce ML, Carpenter M, Booker D, Reid MC, Newell KA, et al. Depressive symptoms and suicidal ideation among older adults receiving home delivered meals. Int J Geriatric Psychiatry. 2008;23:1306–11.

    Article  Google Scholar 

  9. 9.

    Lee SH, Tsai YF, Chen CY, Huang LB. Triggers of suicide ideation and protective factors of actually executing suicide among first onset cases in older psychiatric outpatients: a qualitative study. Bmc Psychiatry. 2014;14:269.

    PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Alex Linley P, Joseph S, Harrington S, Wood AM. Positive psychology: past, present, and (possible) future. J Posit Psychol. 2006;1:3–16.

    Article  Google Scholar 

  11. 11.

    Luo X, Wang Q, Wang X, Cai T. Reasons for living and hope as the protective factors against suicidality in Chinese patients with depression: a cross sectional study. Bmc Psychiatry. 2016;16:252.

    PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Kissane M, McLaren S. Sense of belonging as a predictor of reasons for living in older adults. Death Studies. 2006;30:243–58.

    PubMed  Article  Google Scholar 

  13. 13.

    Davidson CL, Wingate LR, Slish ML, Rasmussen KA. The great black Hope: Hope and its relation to suicide risk among African Americans. Suicide Life Threat Behav. 2010;40:170–80.

    PubMed  Article  Google Scholar 

  14. 14.

    Huen JMY, Ip BYT, Ho SMY, Yip PSF. Hope and hopelessness: the role of hope in buffering the impact of hopelessness on suicidal ideation. PLoS One. 2015;10:e0130073.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  15. 15.

    Stolz E, Fux B, Mayerl H, Rasky E, Freidl W. Passive suicide ideation among older adults in europe: a multilevel regression analysis of individual and societal determinants in 12 countries (SHARE). J Gerontol Series B Psychol Sci Soc Sci. 2016;71:947–58.

    Article  Google Scholar 

  16. 16.

    Avci D, Selcuk KT, Dogan S. Suicide risk in the hospitalized elderly in Turkey and affecting factors. Arch Psychiatr Nurs. 2017;31:55–61.

    PubMed  Article  Google Scholar 

  17. 17.

    Halleröd B, Seldén D. The multi-dimensional characteristics of wellbeing: how different aspects of wellbeing interact and do not interact with each other. Soc Indic Res. 2013;113:807–25.

    Article  Google Scholar 

  18. 18.

    Lyubomirsky S, King L, Diener E. The benefits of frequent positive affect: does happiness lead to success? Psychol Bull. 2005;131:803–55.

    PubMed  Article  Google Scholar 

  19. 19.

    Peterson C, Seligman MEP. Character strengths and virtues: a handbook and classification. USA: Oxford University Press; 2004.

    Google Scholar 

  20. 20.

    Khumalo IP, Wissing MP, Temane QM. Exploring the validity of the Values-In-Action Inventory of Strengths (VIA-IS) in an African context. J Psychol Afr. 2008;18:133–42.

  21. 21.

    Shryack J, Steger MF, Krueger RF, Kallie CS. The structure of virtue: an empirical investigation of the dimensionality of the virtues in action inventory of strengths. Personal Individ Differ. 2010;48:714–9.

    Article  Google Scholar 

  22. 22.

    Park N, Peterson C. Does it matter where we live? The urban psychology of character strengths. Am Psychol. 2010;65:535–47.

    PubMed  Article  Google Scholar 

  23. 23.

    McGrath RE. Integrating psychological and cultural perspectives on virtue: the hierarchical structure of character strengths. J Posit Psychol. 2015;10:407–24.

    Article  Google Scholar 

  24. 24.

    Duan W, Bu H. Development and initial validation of a short three-dimensional inventory of character strengths. Qual Life Res. 2017;26:2519–31.

    PubMed  Article  Google Scholar 

  25. 25.

    Duan W, Ho SMY, Bai Y, Tang X, Zhang Y, Li T, et al. Factor structure of the Chinese virtues questionnaire. Res Soc Work Pract. 2012;22:680–8.

    Article  Google Scholar 

  26. 26.

    Duan W, Ho SMY, Bai Y, Tang X. Psychometric evaluation of the Chinese virtues questionnaire. Res Soc Work Pract. 2013;23:336–45.

    Article  Google Scholar 

  27. 27.

    Duan W, Ho SMY. Three-dimensional model of strengths: examination of invariance across gender, age, education levels, and marriage status. Community Ment Health J. 2017;53:233–40.

    PubMed  Article  Google Scholar 

  28. 28.

    Claudia B, René TP, Willibald R. Self- and peer-rated character strengths: how do they relate to satisfaction with life and orientations to happiness? J Posit Psychol. 2013;8:116–27.

    Article  Google Scholar 

  29. 29.

    Proctor C, Maltby J, Linley PA. Strengths use as a predictor of well-being and health-related quality of life. J Happiness Stud. 2011;12:153–69.

    Article  Google Scholar 

  30. 30.

    Duan W, Ho SMY, Siu BP, Li T, Zhang Y. Role of virtues and perceived life stress in affecting psychological symptoms among Chinese college students. J Am Coll Heal. 2015;63:32–9.

    Article  Google Scholar 

  31. 31.

    Littman-Ovadia H, Steger M. Character strengths and well-being among volunteers and employees: toward an integrative model. J Posit Psychol. 2010;5:419–30.

    Article  Google Scholar 

  32. 32.

    Park N, Pererson C, Seligman MEP. Strengths of character and well-being. J Soc Clin Psychol. 2004;23:603–19.

    Article  Google Scholar 

  33. 33.

    Seligman MEP, Steen TA, Park N, Peterson C. Positive psychology Progress: empirical validation of interventions. Am Psychol. 2005;60:410–21.

    PubMed  Article  Google Scholar 

  34. 34.

    Chu L-W, Chi I. Nursing homes in China. J Am Med Dir Assoc. 2008;9:237–43.

    PubMed  Article  Google Scholar 

  35. 35.

    Heisel MJ, Flett GL. The development and initial validation of the Geriatric Suicide Ideation Scale. Am J Geriatric Psychiatry Official J Am Assoc Geriatric Psychiatry. 2006;14:742–51.

  36. 36.

    Chou KL, Jun LW, Chi I. Assessing Chinese older adults' suicidal ideation: Chinese version of the Geriatric Suicide Ideation Scale. Aging Ment Health. 2005;9:167–71.

  37. 37.

    Su R, Tay L, Diener E. The development and validation of the Comprehensive Inventory of Thriving (CIT) and the Brief Inventory of Thriving (BIT). Applied Psychology-Health and Well Being. 2014;6:251–79.

  38. 38.

    Duan W, Guan Y, Gan F. Brief Inventory of Thriving: a comprehensive measurement of wellbeing. Chinese Sociological Dialogue. 2016;1:15–31.

  39. 39.

    Diener E, Emmons RA, Larsen RJ, Griffin S. The Satisfaction With Life Scale. J Pers Assess. 1985;49:71–5.

  40. 40.

    Pavot W, Diener E. Review of the Satisfaction With Life Scale. Netherlands: Springer; 2009.

  41. 41.

    Brown T. Confirmatory factor analysis for applied research. New York: The Guilford Press; 2006.

    Google Scholar 

  42. 42.

    Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155–63.

  43. 43.

    Cronbach LJ, Shavelson RJ. My current thoughts on coefficient alpha and successor procedures. Educ Psychol Meas. 2004;64:391–418.

    Article  Google Scholar 

  44. 44.

    Maydeu-Olivares A, Coffman DL, Hartmann WM. Asymptotically distribution-free (ADF) interval estimation of coefficient alpha. Psychol Methods. 2007;12:157–76.

    PubMed  Article  Google Scholar 

  45. 45.

    Butterworth P, Fairweather KA, Anstey KJ, Windsor TD. Hopelessness, demoralization and suicidal behaviour: the backdrop to welfare reform in Australia. Aust N Z J Psychiatry. 2006;40:648–56.

    PubMed  Article  Google Scholar 

  46. 46.

    Llewellyn DJ, Lang IA, Langa KM, Huppert FA. Cognitive function and psychological well-being: findings from a population-based cohort. Age Ageing. 2008;37:685–9.

    PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    Wilson RS, Boyle PA, Segawa E, Yu L, Begeny CT, Anagnos SE, et al. The influence of cognitive decline on well-being in old age. Psychol Aging. 2013;28:304–13.

    PubMed  PubMed Central  Article  Google Scholar 

  48. 48.

    Heisel MJ, Flett GL, Besser A. Cognitive functioning and geriatric suicide ideation: testing a Mediational model. Am J Geriatr Psychiatry. 2002;10:428–36.

    PubMed  Article  Google Scholar 

  49. 49.

    Uncapher H. Cognitive biases and suicidal ideation in elderly psychiatric inpatients. Omega-J Death Dying. 2000;42:21–36.

    Article  Google Scholar 

  50. 50.

    Johnson J, Gooding PA, Wood AM, Tarrier N. Resilience as positive coping appraisals: testing the schematic appraisals model of suicide (SAMS). Behav Res Ther. 2010;48:179–86.

    CAS  PubMed  Article  Google Scholar 

  51. 51.

    Johnson J, Gooding PA, Wood AM, Taylor PJ, Pratt D, Tarrier N. Resilience to suicidal ideation in psychosis: positive self-appraisals buffer the impact of hopelessness. Behav Res Ther. 2010;48:883–9.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Tucker RP, Smith CE, Hollingsworth DW, Cole AB, Wingate LRR. Do thought control strategies applied to thoughts of suicide influence suicide ideation and suicide risk? Pers Individ Differ. 2017;112:37–41.

  53. 53.

    Martínez-Martí ML, Ruch W. Character strengths and well-being across the life span: data from a representative sample of German-speaking adults living in Switzerland. Front Psychol. 2014;5.1253.

  54. 54.

    Shimai S, Otake K, Park N, Peterson C, Seligman MEP. Convergence of character strengths in American and Japanese young adults. J Happiness Stud. 2006;7:311.

    Article  Google Scholar 

  55. 55.

    Ahmadpanah M, Astinsadaf S, Akhondi A, Haghighi M, Sadeghi Bahmani D, Nazaribadie M, et al. Early maladaptive schemas of emotional deprivation, social isolation, shame and abandonment are related to a history of suicide attempts among patients with major depressive disorders. Compr Psychiatry. 2017;77:71–9.

    PubMed  Article  Google Scholar 

  56. 56.

    Nofziger S. J. Callanan V. predicting suicidal tendencies among high risk youth with the general theory of crime. Deviant Behav. 2016;37:167–83.

    Article  Google Scholar 

  57. 57.

    De Ridder DT, Lensvelt-Mulders G. Taking stock of self-control: a meta-analysis of how trait self-control relates to a wide range of behaviors. Self-regulation and self-control. Abingdon: Routledge; 2018. p. 221–74.

  58. 58.

    Ambriz MGJ, Izal M, Montorio I. Psychological and social factors that promote positive adaptation to stress and adversity in the adult life cycle. J Happiness Stud. 2012;13:833–48.

    Article  Google Scholar 

  59. 59.

    Heisel MJ, Flett GL. Psychological resilience to suicide ideation among older adults. Clin Gerontol. 2008;31:51–70.

    Article  Google Scholar 

  60. 60.

    Oishi S, Diener E. Goals, culture, and subjective well-being. In: Diener E, editor. Culture and well-being: the collected works of Ed Diener. Dordrecht: Springer Netherlands; 2009. p. 93–108.

    Google Scholar 

  61. 61.

    Li D, Zhang W, Li X, Li N, Ye B. Gratitude and suicidal ideation and suicide attempts among Chinese adolescents: direct, mediated, and moderated effects. J Adolesc. 2012;35:55–66.

    PubMed  Article  Google Scholar 

  62. 62.

    Stockton JG, Tucker RP, Kleiman EM, Wingate LR. How does gratitude affect the relationship between positive humor styles and suicide-related outcomes? Personal Individ Differ. 2016;102:240–4.

    Article  Google Scholar 

  63. 63.

    Kirkendall L. The pursuit of loneliness: American culture at the breaking point. Boston, MA: Beacon Press; 1970.

    Google Scholar 

  64. 64.

    Indoumou Peppe C, Altintas E, Ngoma Voumbi E, Guerrien A. Personality, relationships with others and psychological well-being: a pilot study on the Gabonese older people. J Happiness Stud. 2018;19:1965–79.

    Article  Google Scholar 

  65. 65.

    Litman JA, Robinson OC, Demetre JD. Intrapersonal curiosity: inquisitiveness about the inner self. Self Identity. 2017;16:231–50.

    Article  Google Scholar 

  66. 66.

    Hausler M, Strecker C, Huber A, Brenner M, Höge T, Höfer S. Distinguishing relational aspects of character strengths with subjective and psychological well-being. Front Psychol. 2017;8.1159.

  67. 67.

    Swan GE, Carmelli D. Curiosity and mortality in aging adults: a 5-year follow-up of the Western collaborative group study. Psychol Aging. 1996;11:449–53.

    CAS  PubMed  Article  Google Scholar 

  68. 68.

    Denneson LM, Smolenski DJ, Bush NE, Dobscha SK. Curiosity improves coping efficacy and reduces suicidal ideation severity among military veterans at risk for suicide. Psychiatry Res. 2017;249:125–31.

    PubMed  Article  Google Scholar 

  69. 69.

    Li H, Xu L, Chi I. Factors related to Chinese older adults' suicidal thoughts and attempts. Aging Ment Health. 2016;20:752–61.

    PubMed  Article  Google Scholar 

  70. 70.

    Simon M, Chang ES, Zeng P, Dong X. Prevalence of suicidal ideation, attempts, and completed suicide rate in Chinese aging populations: a systematic review. Arch Gerontol Geriatr. 2013;57:250–6.

    PubMed  PubMed Central  Article  Google Scholar 

  71. 71.

    Zhong B-L, Chiu HFK, Conwell Y. Elderly suicide trends in the context of transforming China, 1987–2014. Sci Rep. 2016;6:37724.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  72. 72.

    Li M, Katikireddi SV. Urban-rural inequalities in suicide among elderly people in China: a systematic review and meta-analysis. Int J Equity Health. 2019;18:2.

    PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    Okolie C, Dennis M, Simon Thomas E, John A. A systematic review of interventions to prevent suicidal behaviors and reduce suicidal ideation in older people. Int Psychogeriatr. 2017;29:1801–24.

    PubMed  Article  Google Scholar 

  74. 74.

    Campos RC, Holden RR, Laranjeira P, Troister T, Oliveira AR, Costa F, et al. Self-report depressive symptoms do not directly predict suicidality in nonclinical individuals: contributions toward a more psychosocial approach to suicide risk. Death Studies. 2016;40:335–49.

    PubMed  Article  Google Scholar 

  75. 75.

    Bryan CJ, Rudd MD. Advances in the assessment of suicide risk. J Clin Psychol. 2006;62:185–200.

    PubMed  Article  Google Scholar 

  76. 76.

    Singelis TM, Yamada AM, Barrio C, Laney JH, Her P, Ruiz-Anaya A, et al. Metric equivalence of the Bidimensional Acculturation Scale, the Satisfaction With Life Scale, and the Self-Construal Scale across Spanish and English language versions. Hisp J Behav Sci. 2006;28:231–44.

  77. 77.

    Tomás JM, Gutiérrez M, Sancho P, Romero I. Measurement invariance of the Satisfaction With Life Scale (SWLS) by gender and age in Angola. Personal Individ Differ. 2015;85:182–6.

  78. 78.

    Bai X, Wu C, Zheng R, Ren X. The psychometric evaluation of the Satisfaction with Life Scale using a nationally representative sample of China. J Happiness Stud. 2011;12:183–97.

  79. 79.

    Blais MR, Vallerand RJ, Pelletier LG, Brière NM. L'échelle de satisfaction de vie: Validation canadienne-française du "Satisfaction with Life Scale.". Canadian J Behavioural Science/Revue Canadienne des Sciences du Comportement. 1989;21:210–23.

    Article  Google Scholar 

  80. 80.

    López-Ortega M, Torres-Castro S, Rosas-Carrasco O. Psychometric properties of the Satisfaction with Life Scale (SWLS): secondary analysis of the Mexican Health and Aging Study. Health Qual Life Outcomes. 2016;14:170.

  81. 81.

    Schnettler B, Miranda-Zapata E, Lobos G, del Carmen LM, Adasme-Berríos C, Hueche C. Measurement invariance in the Satisfaction with Life Scale in Chilean and Ecuadorian older adults. Personal Individ Differ. 2017;110:96–101.

  82. 82.

    Chen X, Silverstein M. Intergenerational social support and the psychological well-being of older parents in China. Res Aging. 2000;22:43–65.

    CAS  Article  Google Scholar 

  83. 83.

    Chen T. Living arrangement preferences and realities for elderly Chinese: implications for subjective wellbeing. Ageing Soc. 2019;39:1557–81.

    Article  Google Scholar 

  84. 84.

    Silverstein M, Cong Z, Li S. Intergenerational transfers and living arrangements of older people in rural China: consequences for psychological well-being. J Gerontol Series B. 2006;61:S256–S66.

    Article  Google Scholar 

  85. 85.

    Ye M, Chen Y. The influence of domestic living arrangement and neighborhood identity on mental health among urban Chinese elders. Aging Ment Health. 2014;18:40–50.

    PubMed  Article  Google Scholar 

  86. 86.

    Baumann D, Ruch W, Margelisch K, Gander F, Wagner L. Character strengths and life satisfaction in later life: an analysis of different living conditions. Appl Res Qual Life. 2019. https://doi.org/10.1007/s11482-018-9689-x.

  87. 87.

    Streiner DL. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. 2003;80:99–103.

    PubMed  Article  Google Scholar 

  88. 88.

    Xu Y, Yu Y, Xie Y, Peng L, Liu B, Xie J, et al. Positive affect promotes well-being and alleviates depression: the mediating effect of attentional bias. Psychiatry Res. 2015;228:482–7.

    PubMed  Article  Google Scholar 

Download references

Acknowledgements

The authors thank all participants for their generous contributions to this study.

Funding

This study was supported by East China University of Science and Technology Supporting Funds for Scientific Research, Strengths-Based Interventions in Multiple Contexts (PI: Prof. Wenjie Duan) and Education Department of Shaanxi Province (No.18JK0370, PI: Dr. Xinfeng Cheng). The funders had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Author information

Affiliations

Authors

Contributions

All authors designed the study. XC collected the data. HB and WD analyzed the data. YZ and AH drafted and revised the manuscript. All authors wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Wenjie Duan.

Ethics declarations

Ethics approval and consent to participate

The protocol was approved by the institutional review board of the affiliated hospital of Chongqing Medical University. Written informed consent was obtained from all participants in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cheng, X., Bu, H., Duan, W. et al. Measuring character strengths as possible protective factors against suicidal ideation in older Chinese adults: a cross-sectional study. BMC Public Health 20, 439 (2020). https://doi.org/10.1186/s12889-020-8457-7

Download citation

Keywords

  • Character strengths
  • Life satisfaction
  • Psychometric
  • Suicidal ideation
  • China