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ORIGINAL RESEARCH article

Front. Psychol., 09 October 2020
Sec. Health Psychology

Grief and Posttraumatic Growth Among Chinese Bereaved Parents Who Lost Their Only Child: The Moderating Role of Interpersonal Loss

Xin Xu\r\nXin Xu1 Jun Wen\r\nJun Wen1 Ningning Zhou\r\nNingning Zhou1 Guangyuan Shi\r\nGuangyuan Shi1 Renzhihui Tang\r\nRenzhihui Tang1 Jianping Wang\r\n
Jianping Wang1 *Natalia A. Skritskaya\r\nNatalia A. Skritskaya2
  • 1Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China
  • 2Center for Complicated Grief, Columbia School of Social Work, New York, NY, United States

Objective: Losing the only child is considered as the most severe kind of bereavement. It can trigger intense grief symptoms along with loss of psychosocial resources, but meanwhile, it can also lead to posttraumatic growth (PTG). The current study aimed to examine (a) whether a curvilinear relationship exists between grief and PTG and (b) the moderating role of resources-loss among Chinese bereaved parents who lost their only child (shidu parents).

Methods: One hundred and ninety-nine shidu parents from five provinces completed the assessment packet covering prolonged grief symptoms and PTG, as well as resource loss. Hierarchical regression analyses were computed to examine the curvilinear relationship and the moderating effect of interpersonal loss and socio-economic loss.

Results: There was no significant curvilinear relationship between grief and PTG in shidu parents. Under the high levels of interpersonal loss, shidu parents’ PTG scores decreased as the severity of grief increased. However, the socio-economic loss did not show a significant moderating effect.

Conclusion: The results of the current study did not show a significant curvilinear relationship between grief and PTG in shidu parents. High levels of grief coupled with high levels of interpersonal loss may interfere with their ability to achieve PTG. Therefore, evaluating degrees of interpersonal loss seems to be an important part of the treatment process when working with shidu parents. To facilitate their adaptation from a positive perspective, helping them maintain existing or develop new interpersonal relationships may be helpful.

Introduction

As an old Chinese saying states, “there are three biggest misfortunes in life: fatherless in youth, widowed in middle age, and childless in old age,” loss of a child is considered the most severe kind of bereavement (Zetumer et al., 2015). It often leads to intense emotional pain and a higher rate of prolonged grief disorder (PGD; Kersting et al., 2011; Newson et al., 2011; Zhou et al., 2018). According to the 11th edition of the International Classification of Diseases (ICD-11; World Health Organization, 2018), PGD is characterized by longing for or persistent preoccupation with the deceased accompanied by intense emotional pain (e.g., sadness, guilt, and anger), as well as functional impairment, which persist for more than 6 months. Bereaved parents often appear to hold certain maladaptive cognitions about death (Skritskaya et al., 2017; Kokou-Kpolou et al., 2018). Bereaved parents with PGD demonstrated more intense grief symptoms, self-blame, and suicidality than other bereaved people with PGD (Zetumer et al., 2015).

What is more bitter than the death of a child is losing the only child in a context where it is a cultural imperative to continue family bloodlines, and children are the source of care for aging parents (Zheng and Lawson, 2015). Because of the previous “One-Child Policy” strictly implemented in China from 1980, there is a special kind of bereaved parents called shidu parents. In the policy targeted at this population, they are defined as bereaved parents over the age of 49 who have lost their only child, and they can receive a monthly subsidy from the government (Wang and Hu, 2019; Zhou et al., 2020). Chinese culture attaches great importance to filial piety and the continuation of family lineage. As reflected by the Confucian saying “having no posterity is extremely nonfilial,” it is a cultural imperative to have a child (Pan et al., 2016). Therefore, shidu parents are not only afflicted by child loss but also suffer from identity loss and social stigmatization (Zheng and Lawson, 2015). Compared to Chinese parents with a living child or who had given birth again, they had a higher risk of intense grief, depression, anxiety, posttraumatic stress, and chronic diseases (Xu et al., 2014; Zheng et al., 2017; Cao et al., 2018; Yin et al., 2018). Additionally, compared with a prevalence of PGD of about 10% in general bereaved people (Lundorff et al., 2017), the prevalence rate in shidu parents was 35.5% (Zhou et al., 2020). Although grief intensity may vary over time, grief would not go away entirely throughout shidu parents’ whole life (Wei et al., 2016; Simon et al., 2020).

Alarmingly, the number of shidu parents was more than 1.5 million in 2015 in China, and the number of shidu families is expected to reach about 4.5 million by 2050 (Wang, 2016). It is imperative to learn more about their bereavement reactions and then design targeted clinical interventions for them. Despite grief being a universal experience and some valuable findings regarding bereaved parents have been discussed, grief symptoms and expression vary by culture (Xiu et al., 2016; Kokou-Kpolou et al., 2020; Stelzer et al., 2020). Given that shidu parents are affected by Chinese familism and Confucianism culture (Zhang and Jia, 2018; Shi et al., 2019), there may be some unique characteristics among shidu parents.

Another concern about shidu parents is that the only child’s death usually will lead to secondary resources loss. Interpersonal and socio-economic loss may be the most common loss they have experienced. In Chinese culture, some people hold an opinion that the death of children is a result of karma (Chan et al., 2005; Zheng et al., 2017). Death is a punishment for previous immoral behavior. Usually, the death of a child is a taboo topic in China. Even nowadays, family members rarely talk about the deceased openly (Cacciatore and DeFrain, 2015). Therefore, shidu parents usually experienced a form of disenfranchised grief in China. This social and cultural context may make it more difficult for shidu parents to cope with child-loss. Shidu parents would deliberately or passively end up in social isolation because of their child-death (Wei et al., 2016). Some of them even quit their job, sell their house, and move to a different place. Therefore, the loss of the only child often results in interpersonal loss. Additionally, because of Chinese traditional filial piety culture, adult children are the main care providers, giving emotional and financial support to their parents (Zheng et al., 2017; Cao et al., 2018). Therefore, losing the only child also leads to economic losses, especially in rural areas (Liang et al., 2019). Undoubtedly, these resources loss may, in turn, affect shidu parents’ psychological status (Lambert et al., 2018).

Although the negative consequences of child-loss have been well-documented, studies reported that people who struggle with traumas could also experience positive psychological changes, such as posttraumatic growth (PTG; Tedeschi and Calhoun, 2004). Therefore, it is not surprising that bereaved parents may achieve certain levels of PTG (Moore et al., 2015; Albuquerque et al., 2018; Waugh et al., 2018), even after losing the only child (Pan et al., 2016; Zhou et al., 2018). Three facets of growth among Chinese shidu parents have been identified in a previous study (Xu et al., under review): (1) A changed philosophy of life. For example, survivors will re-evaluate what is important in life. (2) Changes in self. Shidu parents may develop new interests or establish new paths for their lives, instead of mainly focusing on their children as they did in the past. Shidu parents may feel that they can handle anything after going through such a painful loss (Tedeschi and Calhoun, 2004). (3) Changes in relationships with others. Shidu parents may become more compassionate, particularly toward those who are in a similar situation (Calhoun et al., 2010). PTG is worthy of being investigated in trauma research and integrated into clinical practice (Zoellner and Maercker, 2006). Although PTG is a universal phenomenon, its manifestation may have cross-cultural differences (McDiarmid and Taku, 2016). Considering culture impacts people’s reflection after trauma (Kashyap and Hussain, 2018), more studies about PTG among shidu parents are highly needed, which may help therapists design interventions from a positive perspective (Roepke, 2015).

It is worth noting that grief and PTG can, and do, coexist after bereavement (Tedeschi et al., 2007; Zhou et al., 2018). Lots of studies have examined the relationship between grief and PTG but with conflicting results. Some studies show a negative correlation (Engelkemeyer and Marwit, 2008), some positive (Xu et al., 2015), or no significant correlation at all (Salloum et al., 2019). These inconsistent findings suggest that the relationship between grief and PTG may vary in different bereaved samples. Based on a model of growth in grief, some degree of emotional distress may urge bereaved people to manage the pain, find ways to understand death, and finally accept the changed world. Too low levels of grief may be not enough to challenge their assumptive world beliefs and facilitate them to change (Calhoun et al., 2010). However, severe grief may exhaust people’s resources to achieve growth (Tedeschi and Calhoun, 1995). Therefore, some researchers suggested that certain grief levels may be useful for producing PTG, and an inverted U-shape relationship might be adequate for grief and PTG (Currier et al., 2012; Yilmaz and Zara, 2016; Eisma et al., 2019). Considering that both grief and PTG may be affected by culture and society (Cormio et al., 2015), simply copying a Western model to another culture is inadvisable (Neimeyer, 2012). Chinese bereaved parents are in a collectivist and family-centered culture, while European and American parents are affected by individualism (Xiu et al., 2016). Whether the curvilinear relationship between grief and PTG exists among shidu parents is still worth exploring.

The impact of different moderators affecting distress and PTG can also partly explain the ambiguous relationship between grief and PTG (Shiri et al., 2008; Tian and Solomon, 2018). We speculated that resource loss might play a moderating role between grief and PTG, because low-to-moderate resources loss may motivate people to use active coping and instrumental coping to deal with loss and grief (Hobfoll, 1991). Successful coping with more grief can provide the potential for greater PTG (Calhoun et al., 2010; Waugh et al., 2018). However, if resources losses are severe and individual’s resources are exhausted, they may be defensive, aggressive, and even irrational (Hobfoll et al., 2018). In this situation, people with very few resources may be overwhelmed and too preoccupied with their difficulties. Serious maladjustment may ensue following the stressful experience (Tedeschi and Calhoun, 2004). It is hard for bereaved people to deal with the intense grief to achieve personal growth (Currier et al., 2012). Therefore, the relationship between grief and PTG might differ for individuals with different levels of resource loss.

The Current Study

The present study aimed to examine (a) whether a curvilinear relationship exists between grief and PTG among shidu parents and (b) whether resources-loss affects the relationship of grief and PTG. Two hypotheses are as follows: (1) based on the evidence from previous studies (Currier et al., 2012; Yilmaz and Zara, 2016), there is an inverted U-shape model between grief and growth in shidu parents; (2) the relationship between grief and PTG is different under different levels of resources-loss. Under low-to-moderate levels of resources loss, shidu parents with higher levels of grief report higher PTG. When under high levels of resources loss, shidu parents’ intense grief may be related to lower PTG.

Materials and Methods

Procedures

The data used in the current study were a part of a larger project “Constructing a psychological help system for Chinese shidu parents, based on a popular-based survey” collected from April 2017 to August 2017 across five provinces. The project was approved by the Ethics Committee of Beijing Normal University. With the help of the community institutions and public interest organizations (e.g., self-help groups for shidu parents), we recruited shidu parents by a convenient sampling method. For a detailed recruitment description, see Zhou et al. (2020).

Participants

A total of 211 shidu parents completed the questionnaire packet. Seven questionnaires were excluded because missing items were more than 20% of the data. Five participants who lost their child within 6 months were also excluded from the analyses, because they may be in the period of acute grief (Shear, 2015; World Health Organization, 2018). The validation rate for the questionnaires of the present study was 94.3%. The final sample size was 199, including 71 males and 128 females. The participants came from five provinces: Anhui (n = 21), Jilin (n = 52), Henan (n = 80), Jiangsu (n = 7), and Hunan (n = 39). Their average age was 60.92 (SD = 6.98) years, with the average length of loss was 8.30 (SD = 6.00) years. More detailed descriptive information of the sample is presented in Table 1.

TABLE 1
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Table 1. Demographic characteristics of participants.

Measurement

Sociodemographic Information

A brief demographic questionnaire was used to collect basic information regarding each participant’s gender, age, education, marital status, monthly income, as well as relevant information of the deceased children.

Prolonged Grief Symptoms

The severity of grief symptoms was measured by the Prolonged Grief Disorder Questionnaire (PG-13; Prigerson et al., 2009). Two items assess separation distress, and nine items are related to cognitive, emotional, and behavioral reactions. A five-point scoring system was used (1 = never and 5 = several times a day) to rate the first 11 items. The last two items regarding the length of bereavement and functional impairment were to be answered “yes” or “no.” Total scores of the 11 items excluding the functional impairment and length items were calculated to represent the severity levels of grief symptoms (Pohlkamp et al., 2018). The Chinese version of PG-13 was shown to have good validity and reliability and was widely used in bereaved people (He et al., 2014; Zhou et al., 2018). The Cronbach’s alpha of the 11-items was 0.910 in the current study.

Posttraumatic Growth

Posttraumatic growth inventory (PTGI) is the most widely used tool to assess positive psychological changes after trauma (Tedeschi and Calhoun, 1996). The Chinese version of PTGI was obtained by a back-translation method. It was translated into Chinese from the original version by two psychology doctoral students, and then translated back into English by a professional English postgraduate and finally revised by a clinical psychologist. A previous study found that the original five-factor model was not suitable for Chinese shidu parents (no convergent; Xu et al., under review). Through parallel analysis and principal components, a revised 17-item, three-factor structure version (Life philosophy, Self-changes, and Relationships with others) of PTGI for Chinese shidu parents (PTGI-CS) was deemed appropriate [root mean square error of approximation (RMSEA) = 0.058; comparative fit index (CFI) = 0.920; Tucker-Lewis index (TLI) = 0.905; and standardized root mean squared residual (SRMR) = 0.054]. According to the criteria used in previous studies (Tedeschi and Calhoun, 1996; Rodriguez-Rey et al., 2016), item 5, item 10, and item 13 in the original version were eliminated because of cross-loadings, and item 18 was eliminated because of factor loadings less than 0.50 (unpublished results). Items were rated on a six-point scale ranging from 1 (“I did not experience this change at all after losing the child”) to 6 (“I experienced this change greatly after losing the child”). Total scores ranged from 17 to 102, with higher scores reflecting greater growth. The Cronbach’s alpha of the PTGI-CS was 0.879 in the current study.

Resources Loss

Interpersonal loss and socio-economic loss were assessed by a six-item Resources Loss Scale (RLS). The former was measured by four items from the Conservation of Resources Evaluation (COR-E; Hobfoll and Lilly, 1993; Heath et al., 2012), including “Feeling that you are a person of great value to other people”; “Stability of your family”; “Intimacy with at least one friend”; and “Intimacy with at least one family member.” Two items related to the socio-economic loss were adapted from previous studies (Canetti et al., 2010), including “faith in government,” and “financial resources (e.g., money or property).” Participants were asked to use 0 (“no loss”), 1 (“a little loss”), 2 (“many losses”), and 3 (“great losses”) to indicate to what extent they have lost the following resources in the past year because of losing the only child. Higher scores are related to higher levels of resources-loss. The Chinese version of this measure was obtained by a back-translation method. The results of confirmatory factor analysis (CFA) were: RMSEA = 0.093, CFI = 0.954, TLI = 0.914, and SRMR = 0.034. The Cronbach’s α coefficients were 0.840 for the whole RLS, 0.823 for the interpersonal loss, and 0.566 for the socio-economic loss. Considering all the model fit indices and Cronbach’s α coefficients, this two-factor, six-item scale was applicable in the current study.

Data Analyses

Harman’s single-factor test was used to determine whether a common method bias existed before analyzing the data. All observed variables (grief, PTG, and resource-loss) were included in an exploratory factorial analysis. Eight factors’ eigenvalues were greater than 1, and the first of which explained 22.25% of the total variance of the data. The first factor explained far less than 50% of the variance (Aguirre-Urreta and Hu, 2019). These results suggested that the possibility of common method bias was withdrawn, and further analysis could be conducted. Given the maximum percentage of missing values was 3.0% for RLS item 4, missing values of questionnaire items were imputed using the Expectation-Maximization algorithm. Then CFA was conducted to confirm the structure validity of the PTGI-CS and the Resources Loss Scale. The values of SRMR < 0.08, RMSEA < 0.08, CFI > 0.90, and TLI > 0.90 indicate an adequate or good model fit (Westland, 2015).

Descriptive statistics were used to summarize descriptive information of participants’ demographic characteristics and psychosocial variables. Pearson correlations analyses were carried out to examine the relationships between socio-demographic variables and key research variables. Next, following the procedure suggested by Aiken and West (1991), for scores of PTGI-CS as outcomes, series hierarchical multiple regression (HMR) analyses were conducted to test our two hypotheses. Model 1 was used to explore the moderating role of interpersonal loss, while Model 2 for socio-economic loss. A systematic review of bereaved parents’ PTG suggested that gender, time since the death, and cause of death may impact PTG (Waugh et al., 2018), and the continuation of family lineage is important in China. Therefore, the gender of participants (0 = male and 1 = female), time since the loss (years), cause of death (0 = non-violent, such as chronic disease; 1 = violent, such as an accident), and having a grandchild or not (0 = no and 1 = yes) were entered as covariates in step 1; grief was entered in step 2; squared grief levels (grief2) was entered in step 3 to assess the curvilinear relationship between grief and PTG. Significantly improved R2 changes in the third step indicated the curvilinear relationship between grief and PTG. Then resource loss was entered in step 4; grief × resources loss interaction was entered in step 5; and grief2 × resources loss interaction was entered in step 6. The moderating effect can be verified from step 5 to step 6 by testing the significance of R2 changes and regression coefficients on interaction terms. Main and interaction effects were centered to minimize multicollinearity. The significance level was set to α = 0.05.

Statistical analyses were performed by SPSS version 25 (IBM Corp, 2017), except for the CFA, which was carried out by Mplus Version 7.4 (Muthén and Muthén, 2013).

Results

Preliminary Analyses

Descriptive results of continuous covariates (time since the loss) and psychosocial variables are presented in Table 2. The values of the skewness (0.04–1.23) and kurtosis (−1.18 to 1.52) suggested that none of these variables had unacceptable levels of skew or kurtosis (Tabachnick et al., 2007). The mean total scores of PG-13 and PTGI-CS were (32.97 ± 11.34) and (44.56 ± 15.07). The total scores of interpersonal loss and socio-economic loss were (5.09 ± 3.53) and (2.66 ± 1.94). For each item of resources loss, the proportion of shidu parents who scored 2 or 3 (many or great losses) is shown in Figure 1. Losses in “value to others” (49.2%), “family stability” (45.2%), and “finances” (47.7%) were most endorsed, with almost half of participants feeling that way. Losses in “Intimacy with at least one family member” were the least frequently endorsed in this group, still about a third (35.7%) of shidu parents reported it.

TABLE 2
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Table 2. Descriptive results of continuous covariates and psychosocial variables.

FIGURE 1
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Figure 1. The proportion of each resource loss item shidu parents endorsed “many” and “great.”

Correlations Analyses

The correlations among covariates and main research variables are presented in Table 3. Gender (r = 0.381; p < 0.001), interpersonal loss (r = 0.397; p < 0.001), and socio-economic loss (r = 0.362; p < 0.001) had significant correlations with grief. Only having a grandchild was significantly negatively related to PTG in shidu parents (r = −0.201; p = 0.004).

TABLE 3
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Table 3. Correlations among covariates and main research variables.

Hierarchical Multiple Regression Analyses

The results of HMR analyses (Table 4) did not support our first hypothesis that there was an inverted U-shape model between grief and growth, while the second hypothesis about the moderating role of resource loss was partly supported.

TABLE 4
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Table 4. Hierarchical regression model predicting outcomes of posttraumatic growth (PTG).

Shidu parents’ having a grandchild was significantly negatively associated with PTG (β = −7.22, t = −3.07, p = 0.002, Cohen’s f2 = 0.048). However, in the third step, the addition of quadratic grief did not show significant R2 changes (β = 0.01, ΔR2 = 0.01, p = 0.202). There was no significant curvilinear relationship between grief and PTG in shidu parents.

When examining the effect of interpersonal loss (Model 1), significant R2 changes and regression coefficient on interaction terms in step 6 were found (ΔR2 = 0.03, β = 0.01, p = 0.015, Cohen’s f2 = 0.032). There was only a significant interaction effect between grief2 and interpersonal loss but not loss of socio-economic resources (Model 2).

We explored the moderating effect of interpersonal loss by calculating the relationships between grief2 and PTG under low, average, and high levels of interpersonal loss. Under low (1 SD below mean) and average levels of interpersonal loss, no significant correlations between grief2 and PTG were found (β = −0.01, t = −0.60, p = 0.551; and β = 0.01, t = 1.49, p = 0.139). Under high levels of interpersonal loss (1 SD above mean), grief2 were significantly related to PTG (β = 0.03, t = 2.50, p = 0.013, Cohen’s f2 = 0.031). These results indicated a curvilinear relationship between grief and PTG existed at the high interpersonal loss level. For shidu parents with high levels of interpersonal loss, as the severity of grief symptoms increased, their PTG levels decreased (Figure 2).

FIGURE 2
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Figure 2. Relationship among grief, PTG, and interpersonal loss among shidu parents.

Discussion

The current study examined the relationship between grief and PTG, and the moderating role of resources-loss among Chinese bereaved parents who lost their only child. The results of the current study did not support an inverted U-shape relationship between grief and PTG in shidu parents. When testing the moderating effects of two kinds of resource loss, we found that under the high levels of interpersonal loss, shidu parents’ PTG decreased as the severity of grief increased. However, the socio-economic loss did not show a significant moderating effect.

Shidu parents’ having a grandchild was significantly negatively associated with PTG. Chinese culture regarding filial piety and continuation of bloodlines may be the main reason. The death of the only child would challenge shidu parents’ value of continuation of the family line. In this situation, having a grandchild may be a comfort and could alleviate some pain for these shidu parents. Death may challenge their world belief to a lesser degree when they still have an offspring to continue their bloodlines. Therefore, it might result in less effort to make meaning of death and less reported growth (Calhoun et al., 2010).

There was no significant curvilinear relationship between grief and PTG in shidu parents. This finding was surprising given the support from previous studies (Currier et al., 2012; Yilmaz and Zara, 2016). One of the reasons to account for this difference might be related to sample characteristics. Participants in the above two studies were bereaved adults who experienced all kinds of bereavement, not confined to a child-loss. However, in our study, the participants were bereaved parents who lost their only child and their average age was 60.92 years. Besides, their average time since the loss was 8.30 years, but which was limited to 2 years in the other two studies. Time since the loss seems to be an important factor associated with PTG (Waugh et al., 2018). A study on bereaved youth also did not find this curve relationship (Salloum et al., 2019). These results suggested that the patterns of the relationship between grief and growth may vary in different samples. The curvilinear relationship between grief and PTG in adults indicated that too low levels of grief may be not enough to challenge ones’ assumptive world beliefs, while too high levels of grief probably will overwhelm an individual’s capacity for growth (Currier et al., 2012; Eisma et al., 2019). However, in addition to the grief levels, the levels of disruption of core beliefs and the extent to which bereaved people have reconstructed their beliefs about the world must be taken into account (Calhoun et al., 2010). Child-loss is considered as the most severe kind of bereavement, and it violates the belief that children should outlive their parents (Zetumer et al., 2015). It is often perceived as unnatural and unjust (Hibberd et al., 2010). To most Chinese parents, children mean their hope, emotional support, the continuation of bloodlines, and main caregivers after getting old. Losing the only child may mean losing all of these. Therefore, understanding the only child’s death, rebuilding a functional worldview, and achieving PTG may be more difficult and complicated for shidu parents. Due to the lack of qualitative and follow-up information, the process of grief and PTG, and how reconstructed beliefs work among shidu parents are not very clear so far. Therefore, qualitative research and longitudinal studies are necessary to further explore the relationship between grief and PTG among shidu parents.

Only interpersonal loss but not socio-economic loss showed a significant moderating effect between grief and PTG. The value of Cohen’s f2 of 0.032 indicated that the moderating effect was smaller than medium effect sizes but not so small as to be trivial (Cohen, 1988). The conclusion is similar to previous findings that the interpersonal loss had a significant effect after trauma (Banou et al., 2009; Hall et al., 2015).

When exploring the moderating effect of interpersonal loss, we found that more severe grief symptoms were related to lower PTG when the interpersonal loss is higher. Some reasons may account for this phenomenon. Severe interpersonal loss may lead to a lack of adequate social support for the bereaved to adapt to loss. Social support may alleviate the negative effects of the loss and facilitate effective coping, which is considered an important factor in facilitating PTG (Howard Sharp et al., 2018; Oginska-Bulik, 2018). For shidu parents with higher levels of grief, being “stuck” in grief, such as longing for and preoccupation with their deceased child, leaves them limited time and energy to search for new meanings and direction in life. When it is coupled with severe interpersonal loss, shidu parents may use out all the resources and lack sufficient interpersonal support to struggle with the grief and loss. Therefore, it is hard for shidu parents with high levels of grief to achieve growth under severe interpersonal loss. Additionally, higher resources loss and grief are related to lower self-efficacy (Smith et al., 2015; Witting et al., 2016; Edwards et al., 2018), while self-efficacy is positively related to PTG (Shakespeare-Finch et al., 2014). Consequently, under high levels of interpersonal loss, shidu parents’ higher grief is related to lower PTG.

Socio-economic loss, including loss of faith in government and financial loss, did not play a significant role in the relationship between grief and PTG. Because the only child’s loss is related to the previous national policy, shidu parents may have conflicted feelings toward the government. On the one hand, they may experience certain levels of resentment and loss of faith in the government. On the other hand, they still rely on the government and realize that the government provides support for them (Zhang and Jia, 2018). Besides, a monthly subsidy from the government can make up for their financial loss to a certain extent. Shidu parents could be supported by the government, but the significant socio-economic loss has been reported nonetheless. The government support and their reliance on government may mitigate the impact of socio-economic loss. These might explain why economic loss did not play a significant role. Additionally, perhaps the more significant impact of interpersonal loss on shidu parents may be another reason. Self-identity plays a core role in bereavement adjustment (Maccallum and Bryant, 2013). Chinese shidu parents show a typical merged self-identity and a weak independent self-identity (Yu, 2018). They might very strongly define themselves through relationships and are affected by others. Therefore, the interpersonal loss would have a stronger effect on grief and PTG.

Implications

The findings of the current study expand the bereavement research under Chinese cultural contexts and provide some guidance for clinical treatment in the area of grief counseling. First, shidu parents’ pattern of grief and PTG is different from that in bereaved adults in Western culture (Currier et al., 2012; Eisma et al., 2019). This result implies that there may be some unique characteristics among shidu parents. Besides, some researchers have proposed a two-component model of PTG, indicating that PTG has a functional side and meanwhile may also contain illusory, self-deceptive components, thereby it may not always be beneficial for adjustment (Zoellner and Maercker, 2006). The role of PTG in bereavement is still open to discussion. More studies, especially longitudinal studies about the adaptive significance of PTG and its related factors in shidu parents are highly needed. Secondly, the present study highlighted the moderating role of interpersonal loss between grief and PTG that might provide some information for interventions. It seems essential for therapists to raise awareness of the possibility of PTG and have an understanding of what factors may be related to PTG (Zoellner and Maercker, 2006). The current study results indicated that high levels of grief coupled with high levels of interpersonal loss may interfere with shidu parents’ ability to achieve PTG. Therefore, evaluating degrees of interpersonal loss seems to be an important part of the treatment process when working with shidu parents. For people who experienced higher interpersonal loss, professional grief treatments that not only focus on the loss but also help the bereaved strengthen interpersonal relationships can be considered, such as complicated grief treatment (CGT; Shear et al., 2005, 2016). CGT has an emphasis on helping bereaved people restore their connections to others in their life. When implementing CGT with shidu parents, this theme deserves close attention to help them maintain existing or develop new interpersonal relationships. Additionally, outside of the clinical context, shidu parents with severe interpersonal loss and grief may benefit from social support. Previous studies suggest that different kinds of social support may have different impacts on different bereaved people (Li and Chen, 2016; Howard Sharp et al., 2018). Future research is encouraged to explore what types of social support (e.g., emotional support or practical support) or which sources of social support (i.e., family, friends, and significant others) may be most helpful for shidu parents.

Limitations

The study has several limitations. First, many shidu parents with severe grief symptoms or avoidance of social contact may be unwilling to participate in the present study. Therefore, the current study was based on a convenience sampling method, and only 199 participants were included in the analyses. Though this was a useful strategy in recruiting this hard-to-reach population, which may limit the generalizability of the findings. The result of post hoc power analysis (with the estimation based on α = 0.05 and effect size = 0.032, power = 0.713) indicated the statistical power to identify a significant moderating effect was limited due to the relatively small sample size. Besides, most of the participants in the current study lost an adult child. Therefore, cautious interpretation is required when extending the results to the whole shidu parents. Future research using a large, representative sample is encouraged to validate these findings. Second, we only used a questionnaire method to explore bereavement outcomes. The revised version of PTGI for Chinese shidu parents was used for the first time. Besides, perhaps because the socio-economic loss subscale only has two items, the alpha coefficient of it was relatively low. With the limitation of research methods, we failed to learn about deeper information about the relationship between grief and PTG, and the effects of resources loss. Future studies combining questionnaire and interview methods might provide us with a more comprehensive understanding. Third, this is a cross-sectional study that does not allow causal conclusions about grief, PTG, and resource loss. Consequently, longitudinal studies may be needed to further expand on these findings.

Conclusion

The current study focused on a special group of bereaved parents: parents who lost their only child. Results did not reveal a significant curvilinear relationship between grief and PTG in shidu parents. Under severe interpersonal loss, shidu parents’ high levels of grief symptoms may interfere with the progress of PTG. Therefore, the evaluation of degrees of interpersonal loss is necessary and meaningful when working with shidu parents. These findings not only enrich the bereavement research in eastern culture, but also provide a potential benefit to therapists and social workers to develop a specific treatment to help shidu parents from a positive perspective.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Ethics Committee of Beijing Normal University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

XX collected data for the study and drafted the initial manuscript. JW collected and analyzed the data and reviewed and edited the manuscript. NZ, GS, and RT collected data for the study and reviewed the manuscript. JW was responsible for project management and supervision. NS contributed substantially to the manuscript revision and editing. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Social Science Fund of China under the Grant Major Program [grant number 16ZDA233].

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank the shidu parents who participated in the current study, and the community institutions and public interest organizations who helped us contact the participants.

References

Aguirre-Urreta, M. I., and Hu, J. (2019). Detecting common method bias: performance of the Harman’s single-factor test. ACM SIGMIS Database 50, 45–70. doi: 10.1145/3330472.3330477

CrossRef Full Text | Google Scholar

Aiken, L. S., and West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA, US: Sage Publications, Inc.

Google Scholar

Albuquerque, S., Narciso, I., and Pereira, M. (2018). Posttraumatic growth in bereaved parents: a multidimensional model of associated factors. Psychol. Trauma 10, 199–207. doi: 10.1037/tra0000305

PubMed Abstract | CrossRef Full Text | Google Scholar

Banou, E., Hobfoll, S. E., and Trochelman, R. D. (2009). Loss of resources as mediators between interpersonal trauma and traumatic and depressive symptoms among women with cancer. J. Health Psychol. 14, 200–214. doi: 10.1177/1359105308100204

PubMed Abstract | CrossRef Full Text | Google Scholar

Cacciatore, J., and DeFrain, J. (2015). The world of bereavement: Cultural perspectives on death in families. New York: Springer Press.

Google Scholar

Calhoun, L. G., Tedeschi, R. G., Cann, A., and Hanks, E. A. (2010). Positive outcomes following bereavement: paths to posttraumatic growth. Psychol. Belg. 50, 125–143. doi: 10.5334/pb-50-1-2-125

CrossRef Full Text | Google Scholar

Canetti, D., Galea, S., Hall, B. J., Johnson, R. J., Palmieri, P. A., and Hobfoll, S. E. (2010). Exposure to prolonged socio-political conflict and the risk of PTSD and depression among Palestinians. Psychiatry 73, 219–231. doi: 10.1521/psyc.2010.73.3.219

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, X., Yang, C., and Wang, D. (2018). The impact on mental health of losing an only child and the influence of social support and resilience. Omega 80, 666–684. doi: 10.1177/0030222818755284

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, C. L. W., Chow, A. Y. M., Ho, S. M. Y., Tsui, Y. K. Y., Tin, A. F., Koo, B. W. K., et al. (2005). The experience of Chinese bereaved persons: a preliminary study of meaning making and continuing bonds. Death Stud. 29, 923–947. doi: 10.1080/07481180500299287

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New Jersey: Lawrence Erlbaum Press.

Google Scholar

Cormio, C., Romito, F., Giotta, F., and Mattioli, V. (2015). Post-traumatic growth in the italian experience of long-term disease-free cancer survivors. Stress Health 31, 189–196. doi: 10.1002/smi.2545

PubMed Abstract | CrossRef Full Text | Google Scholar

Currier, J. M., Holland, J. M., and Neimeyer, R. A. (2012). Prolonged grief symptoms and growth in the first 2 years of bereavement: evidence for a nonlinear association. Traumatology 18, 65–71. doi: 10.1177/1534765612438948

CrossRef Full Text | Google Scholar

Edwards, T. P., Yopp, J. M., Park, E. M., Deal, A., Biesecker, B. B., and Rosenstein, D. L. (2018). Widowed parenting self-efficacy scale: a new measure. Death Stud. 42, 247–253. doi: 10.1080/07481187.2017.1339743

PubMed Abstract | CrossRef Full Text | Google Scholar

Eisma, M. C., Lenferink, L. I. M., Stroebe, M. S., Boelen, P. A., and Schut, H. A. W. (2019). No pain, no gain: cross-lagged analyses of posttraumatic growth and anxiety, depression, posttraumatic stress and prolonged grief symptoms after loss. Anxiety Stress Coping 32, 231–243. doi: 10.1080/10615806.2019.1584293

PubMed Abstract | CrossRef Full Text | Google Scholar

Engelkemeyer, S. M., and Marwit, S. J. (2008). Posttraumatic growth in bereaved parents. J. Trauma. Stress 21, 344–346. doi: 10.1002/jts.20338

PubMed Abstract | CrossRef Full Text | Google Scholar

Hall, B. J., Murray, S. M., Galea, S., Canetti, D., and Hobfoll, S. E. (2015). Loss of social resources predicts incident posttraumatic stress disorder during ongoing political violence within the Palestinian Authority. Soc. Psychiatry Psychiatr. Epidemiol. 50, 561–568. doi: 10.1007/s00127-014-0984-z

PubMed Abstract | CrossRef Full Text | Google Scholar

He, L., Tang, S., Yu, W., Xu, W., Xie, Q., and Wang, J. (2014). The prevalence, comorbidity and risks of prolonged grief disorder among bereaved Chinese adults. Psychiatry Res. 219, 347–352. doi: 10.1016/j.psychres.2014.05.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Heath, N. M., Hall, B. J., Russ, E. U., Canetti, D., and Hobfoll, S. E. (2012). Reciprocal relationships between resource loss and psychological distress following exposure to political violence: an empirical investigation of COR theory’s loss spirals. Anxiety Stress Coping 25, 679–695. doi: 10.1080/10615806.2011.628988

PubMed Abstract | CrossRef Full Text | Google Scholar

Hibberd, R., Elwood, L. S., and Galovski, T. E. (2010). Risk and protective factors for posttraumatic stress disorder, prolonged grief, and depression in survivors of the violent death of a loved one. J. Loss Trauma 15, 426–447. doi: 10.1080/15325024.2010.507660

CrossRef Full Text | Google Scholar

Hobfoll, S. E. (1991). Traumatic stress: a theory based on rapid loss of resources. Anxiety Res. 4, 187–197. doi: 10.1080/08917779108248773

CrossRef Full Text | Google Scholar

Hobfoll, S. E., Halbesleben, J., Neveu, J. -P., and Westman, M. (2018). Conservation of resources in the organizational context: the reality of resources and their consequences. Annu. Rev. Organ. Psychol. Organ. Behav. 5, 103–128. doi: 10.1146/annurev-orgpsych-032117-104640

CrossRef Full Text | Google Scholar

Hobfoll, S. E., and Lilly, R. S. (1993). Resource conservation as a strategy for community psychology. J. Community Psychol. 21, 128–148. doi: 10.1002/1520-6629(199304)21:23.0.CO;2-5

CrossRef Full Text | Google Scholar

Howard Sharp, K. M., Russell, C., Keim, M., Barrera, M., Gilmer, M. J., Foster Akard, T., et al. (2018). Grief and growth in bereaved siblings: interactions between different sources of social support. Sch. Psychol. Q. 33, 363–371. doi: 10.1037/spq0000253

PubMed Abstract | CrossRef Full Text | Google Scholar

Kashyap, S., and Hussain, D. (2018). Cross-cultural challenges to the construct “Posttraumatic Growth”. J. Loss Trauma 23, 51–69. doi: 10.1080/15325024.2017.1422234

CrossRef Full Text | Google Scholar

Kersting, A., Brahler, E., Glaesmer, H., and Wagner, B. (2011). Prevalence of complicated grief in a representative population-based sample. J. Affect. Disord. 131, 339–343. doi: 10.1016/j.jad.2010.11.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Kokou-Kpolou, C. K., Cénat, J. M., Noorishad, P. -G., Park, S., and Bacqué, M. -F. (2020). A comparison of prevalence and risk factor profiles of prolonged grief disorder among French and Togolese bereaved adults. Soc. Psychiatry Psychiatr. Epidemiol. 55, 757–764. doi: 10.1007/s00127-020-01840-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Kokou-Kpolou, K., Megalakaki, O., and Nieuviarts, N. (2018). Persistent depressive and grief symptoms for up to 10 years following perinatal loss: involvement of negative cognitions. J. Affect. Disord. 241, 360–366. doi: 10.1016/j.jad.2018.08.063

PubMed Abstract | CrossRef Full Text | Google Scholar

Lambert, J. E., Witting, A. B., James, S., Ponnamperuma, L., and Wickrama, T. (2018). Toward understanding posttraumatic stress and depression among trauma-affected widows in Sri Lanka. Psychol. Trauma 11, 551–558. doi: 10.1037/tra0000361

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., and Chen, S. (2016). A new model of social support in bereavement (SSB): an empirical investigation with a Chinese sample. Death Stud. 40, 223–228. doi: 10.1080/07481187.2015.1127296

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, Y., Sarwar, M., and Horn, S. V. (2019). Child loss, social capital, and depressive symptoms among elderly adults in urban and rural China. J. Aging Health 31, 343–373. doi: 10.1177/0898264318804637

PubMed Abstract | CrossRef Full Text | Google Scholar

Lundorff, M., Holmgren, H., Zachariae, R., Farver-Vestergaard, I., and O’Connor, M. (2017). Prevalence of prolonged grief disorder in adult bereavement: a systematic review and meta-analysis. J. Affect. Disord. 212, 138–149. doi: 10.1016/j.jad.2017.01.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Maccallum, F., and Bryant, R. A. (2013). A cognitive attachment model of prolonged grief: integrating attachments, memory, and identity. Clin. Psychol. Rev. 33, 713–727. doi: 10.1016/j.cpr.2013.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

McDiarmid, L., and Taku, K. (2016). Family-valued and personally important posttraumatic growth in American and Japanese adolescents. J. Child Fam. Stud. 26, 357–369. doi: 10.1007/s10826-016-0565-8

CrossRef Full Text | Google Scholar

Moore, M. M., Cerel, J., and Jobes, D. A. (2015). Fruits of trauma? Posttraumatic growth among suicide-bereaved parents. Crisis 36, 241–248. doi: 10.1027/0227-5910/a000318

PubMed Abstract | CrossRef Full Text | Google Scholar

Muthén, L. K., and Muthén, B. O. (2013). Mplus (Version 7.11) [Computer Software]. Author, Los Angeles.

PubMed Abstract | Google Scholar

Neimeyer, R. A. (2012). The (half) truth about grief. Illn. Crisis Loss 20, 389–395. doi: 10.2190/IL.20.4.g

CrossRef Full Text | Google Scholar

Newson, R. S., Boelen, P. A., Hek, K., Hofman, A., and Tiemeier, H. (2011). The prevalence and characteristics of complicated grief in older adults. J. Affect. Disord. 132, 231–238. doi: 10.1016/j.jad.2011.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Oginska-Bulik, N. (2018). Posttraumatic positive changes among parents who have experienced the loss of a child—the role of social support. Health Psychol. Rep. 6, 118–125. doi: 10.5114/hpr.2018.72410

CrossRef Full Text | Google Scholar

Pan, X., Liu, J., Li, L. W., and Kwok, J. (2016). Posttraumatic growth in aging individuals who have lost their only child in China. Death Stud. 40, 395–404. doi: 10.1080/07481187.2016.1169234

PubMed Abstract | CrossRef Full Text | Google Scholar

Pohlkamp, L., Kreicbergs, U., Prigerson, H. G., and Sveen, J. (2018). Psychometric properties of the Prolonged Grief Disorder-13 (PG-13) in bereaved Swedish parents. Psychiatry Res. 267, 560–565. doi: 10.1016/j.psychres.2018.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Prigerson, H. G., Horowitz, M. J., Jacobs, S. C., Parkes, C. M., Mihaela, A., Karl, G., et al. (2009). Prolonged grief disorder: psychometric validation of criteria proposed for DSM-V and ICD-11. PLoS Med. 6:e1000121. doi: 10.1371/journal.pmed.1000121

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez-Rey, R., Alonso-Tapia, J., Kassam-Adams, N., and Garrido-Hernansaiz, H. (2016). The factor structure of the posttraumatic growth inventory in parents of critically ill children. Psicothema 28, 495–503. doi: 10.7334/psicothema2016.162

PubMed Abstract | CrossRef Full Text | Google Scholar

Roepke, A. M. (2015). Psychosocial interventions and posttraumatic growth: a meta-analysis. J. Consult. Clin. Psychol. 83, 129–142. doi: 10.1037/a0036872

PubMed Abstract | CrossRef Full Text | Google Scholar

Salloum, A., Bjoerke, A., and Johnco, C. (2019). The associations of complicated grief, depression, posttraumatic growth, and hope among bereaved youth. Omega 79, 157–173. doi: 10.1177/0030222817719805

PubMed Abstract | CrossRef Full Text | Google Scholar

Shakespeare-Finch, J., Rees, A., and Armstrong, D. (2014). Social support, self-efficacy, trauma and well-being in emergency medical dispatchers. Soc. Indic. Res. 123, 549–565. doi: 10.1007/s11205-014-0749-9

CrossRef Full Text | Google Scholar

Shear, M. K. (2015). Clinical practice. Complicated grief. N. Engl. J. Med. 372, 153–160. doi: 10.1056/NEJMcp1315618

PubMed Abstract | CrossRef Full Text | Google Scholar

Shear, K., Frank, E., Houck, P. R., and Reynolds, C. F. (2005). Treatment of complicated grief: a randomized controlled trial. JAMA 293, 2601–2608. doi: 10.1001/jama.293.21.2601

PubMed Abstract | CrossRef Full Text | Google Scholar

Shear, M. K., Reynolds, N. M., Simon, C. F., Zisook, Y., Wang, C., Mauro, C., et al. (2016). Optimizing treatment of complicated Grief: a randomized clinical trial. JAMA Psychiatry 73, 685–694. doi: 10.1001/jamapsychiatry.2016.0892

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, G. Y., Wen, J., Xu, X., Zhou, N. N., Wang, J. N., Shi, Y. Q., et al. (2019). Culture-related grief beliefs of Chinese shidu parents: development and psychometric properties of a new scale. Eur. J. Psychotraumatol. 10:1626075. doi: 10.1080/20008198.2019.1626075

PubMed Abstract | CrossRef Full Text | Google Scholar

Shiri, S., Wexler, I. D., Alkalay, Y., Meiner, Z., and Kreitler, S. (2008). Positive and negative psychological impact after secondary exposure to politically motivated violence among body handlers and rehabilitation workers. J. Nerv. Ment. Dis. 196, 906–911. doi: 10.1097/NMD.0b013e31818ec80b

PubMed Abstract | CrossRef Full Text | Google Scholar

Simon, N. M., Shear, M. K., Reynolds, C. F., Cozza, S. J., Mauro, C., Zisook, S., et al. (2020). Commentary on evidence in support of a grief-related condition as a DSM diagnosis. Depress. Anxiety 37, 9–16. doi: 10.1002/da.22985

PubMed Abstract | CrossRef Full Text | Google Scholar

Skritskaya, N. A., Mauro, C., Olonoff, M., Qiu, X., Duncan, S., Wang, Y., et al. (2017). Measuring maladaptive cognitions in complicated grief: introducing the typical beliefs questionnaire. Am. J. Geriatr. Psychiatry 25, 541–550. doi: 10.1016/j.jagp.2016.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, A. J., Abeyta, A. A., Hughes, M., and Jones, R. T. (2015). Persistent grief in the aftermath of mass violence: the predictive roles of posttraumatic stress symptoms, self-efficacy, and disrupted worldview. Psychol. Trauma 7, 179–186. doi: 10.1037/tra0000002

PubMed Abstract | CrossRef Full Text | Google Scholar

Stelzer, E. M., Zhou, N., Maercker, A., O’Connor, M. F., and Killikelly, C. (2020). Prolonged grief disorder and the cultural crisis. Front. Psychol. 10:2982. doi: 10.3389/fpsyg.2019.02982

PubMed Abstract | CrossRef Full Text | Google Scholar

Tabachnick, B. G., Fidell, L. S., and Ullman, J. B. (2007). Using multivariate statistics. Boston, MA: Pearson.

Google Scholar

Tedeschi, R. G., and Calhoun, L. G. (1995). Trauma and transformation: Growing in the aftermath of suffering. Thousand Oaks, CA, US: Sage Publications, Inc.

Google Scholar

Tedeschi, R. G., and Calhoun, L. G. (1996). The posttraumatic growth inventory: measuring the positive legacy of trauma. J. Trauma. Stress 9, 455–471. doi: 10.1007/Bf02103658

PubMed Abstract | CrossRef Full Text | Google Scholar

Tedeschi, R. G., and Calhoun, L. G. (2004). Posttraumatic growth: conceptual foundations and empirical evidence. Psychol. Inq. 15, 1–18. doi: 10.1207/s15327965pli1501_01

CrossRef Full Text | Google Scholar

Tedeschi, R. G., Calhoun, L. G., and Cann, A. (2007). Evaluating resource gain: understanding and misunderstanding posttraumatic growth. Appl. Psychol. 56, 396–406. doi: 10.1111/j.1464-0597.2007.00299.x

CrossRef Full Text | Google Scholar

Tian, X., and Solomon, D. H. (2018). Grief and post-traumatic growth following miscarriage: the role of meaning reconstruction and partner supportive communication. Death Stud. 44, 237–247. doi: 10.1080/07481187.2018.1539051

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, G. (2016). Research on the total population, age structure and developing trend of the lost only child women by computer simulation. Popul. Econ. 5, 1–11.

Google Scholar

Wang, N., and Hu, Q. (2019). “It is not simply the loss of a child”: the challenges facing parents who have lost their only child in post-reproductive age in China. Death Stud. 1–10. doi: 10.1080/07481187.2019.1626941 [Epub ahead of print]

PubMed Abstract | CrossRef Full Text | Google Scholar

Waugh, A., Kiemle, G., and Slade, P. (2018). What aspects of post-traumatic growth are experienced by bereaved parents? A systematic review. Eur. J. Psychotraumatol. 9:1506230. doi: 10.1080/20008198.2018.1506230

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, Y., Jiang, Q., and Gietel-Basten, S. (2016). The well-being of bereaved parents in an only-child society. Death Stud. 40, 22–31. doi: 10.1080/07481187.2015.1056563

PubMed Abstract | CrossRef Full Text | Google Scholar

Westland, J. C. (2015). Structural equation modeling: From paths to networks. New York: Springer.

Google Scholar

Witting, A. B., Lambert, J., and Wickrama, T. (2016). War and disaster in Sri Lanka: implications for widows’ family adjustment and perception of self-efficacy in caring for one’s family. Int. J. Psychol. 54, 126–134. doi: 10.1002/ijop.12407

PubMed Abstract | CrossRef Full Text | Google Scholar

World Health Organization (2018). ICD-11 beta draft. 6B42 prolonged grief disorder.

Google Scholar

Xiu, D., Maercker, A., Woynar, S., Geirhofer, B., Yang, Y., and Jia, X. (2016). Features of prolonged grief symptoms in Chinese and Swiss bereaved parents. J. Nerv. Ment. Dis. 204, 693–701. doi: 10.1097/NMD.0000000000000539

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, W., Fu, Z. F., He, L., Schoebi, D., and Wang, J. P. (2015). Growing in times of grief: attachment modulates bereaved adults’ posttraumatic growth after losing a family member to cancer. Psychiatry Res. 230, 108–115. doi: 10.1016/j.psychres.2015.08.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Y., Herrman, H., Bentley, R., Tsutsumi, A., and Fisher, J. (2014). Effect of having a subsequent child on the mental health of women who lost a child in the 2008 Sichuan earthquake: a cross-sectional study. Bull. World Health Organ. 92, 348–355. doi: 10.2471/BLT.13.124677

PubMed Abstract | CrossRef Full Text | Google Scholar

Yilmaz, M., and Zara, A. (2016). Traumatic loss and posttraumatic growth: the effect of traumatic loss related factors on posttraumatic growth. Anadolu Psikiyatri Derg. 17:5. doi: 10.5455/apd.188311

CrossRef Full Text | Google Scholar

Yin, Q., Shang, Z., Zhou, N., Wu, L., Liu, G., Yu, X., et al. (2018). An investigation of physical and mental health consequences among Chinese parents who lost their only child. BMC Psychiatry 18:45. doi: 10.1186/s12888-018-1621-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, W. (2018). The influence of self-construal on grief among Chinese parents who lost their only child. Beijing Normal University.

Google Scholar

Zetumer, S., Young, I., Shear, M. K., Skritskaya, N., Lebowitz, B., Simon, N., et al. (2015). The impact of losing a child on the clinical presentation of complicated grief. J. Affect. Disord. 170, 15–21. doi: 10.1016/j.jad.2014.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., and Jia, X. (2018). A qualitative study on the grief of people who lose their only child: from the perspective of familism culture. Front. Psychol. 9:869. doi: 10.3389/fpsyg.2018.00869

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, Y., and Lawson, T. R. (2015). Identity reconstruction asshiduers: narratives from Chinese older adults who lost their only child. Int. J. Soc. Welf. 24, 399–406. doi: 10.1111/ijsw.12139

CrossRef Full Text | Google Scholar

Zheng, Y., Lawson, T. R., and Anderson Head, B. (2017). “Our Only Child Has Died”—a study of bereaved older chinese parents. Omega 74, 410–425. doi: 10.1177/0030222815612285

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, N., Wen, J., Stelzer, E. M., Killikelly, C., Yu, W., Xu, X., et al. (2020). Prevalence and associated factors of prolonged grief disorder in Chinese parents bereaved by losing their only child. Psychiatry Res. 284:112766. doi: 10.1016/j.psychres.2020.112766

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, N., Yu, W., Huang, H., Shi, G., Luo, H., Song, C., et al. (2018). Latent profiles of physical and psychological outcomes of bereaved parents in China who lost their only child. Eur. J. Psychotraumatol. 9:1544026. doi: 10.1080/20008198.2018.1544026

PubMed Abstract | CrossRef Full Text | Google Scholar

Zoellner, T., and Maercker, A. (2006). Posttraumatic growth in clinical psychology—a critical review and introduction of a two component model. Clin. Psychol. Rev. 26, 626–653. doi: 10.1016/j.cpr.2006.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: shidu parents, grief, posttraumatic growth, moderating effect, interpersonal loss, socio-economic loss

Citation: Xu X, Wen J, Zhou N, Shi G, Tang R, Wang J and Skritskaya NA (2020) Grief and Posttraumatic Growth Among Chinese Bereaved Parents Who Lost Their Only Child: The Moderating Role of Interpersonal Loss. Front. Psychol. 11:558313. doi: 10.3389/fpsyg.2020.558313

Received: 01 May 2020; Accepted: 14 September 2020;
Published: 09 October 2020.

Edited by:

Chun-Qing Zhang, Hong Kong Baptist University, Hong Kong

Reviewed by:

Dan Wu, Guangdong Medical University, China
Chun Tao, Stanford University, United States
Natania S. Lipp, Lehigh University, United States
Kossigan Cyrille Kokou-Kpolou, University of Picardie Jules Verne, France

Copyright © 2020 Xu, Wen, Zhou, Shi, Tang, Wang and Skritskaya. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jianping Wang, wjphh@bnu.edu.cn

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