Abstract
Elderly migrants who face the dual challenges of aging and migration are more likely to suffer psychological disorders. Existing research has demonstrated a link between loneliness and psychological disorders in the general elderly population. However, we know little about the relationships among elderly migrants, and the psychological mechanisms linking them. This study aims to examine the effects of loneliness on anxiety and depressive symptoms among Chinese elderly migrants, and explore the mediating roles of perceived stress and resilience. All 654 participants were recruited in Nanjing, Jiangsu Province, China. Results showed that loneliness was significantly correlated with anxiety and depressive symptoms (p < 0.001). Perceived stress and resilience mediated the relationship between loneliness and anxiety symptoms. The mediating effect of perceived stress was 0.128 (Bootstrap 95% CI: 0.092–0.168, Ratio = 37.4%). Resilience was 0.026 (Bootstrap 95% CI: 0.005–0.049, Ratio = 7.6%). Furthermore, perceived stress and resilience also mediated the relationship between loneliness and depressive symptoms. The mediating effects were 0.111 and 0.043, respectively (Bootstrap 95% CI: 0.073–0.151, Ratio = 27.9%; Bootstrap 95% CI: 0.020–0.069, Ratio = 10.8%). All the mediating effects were significant because the bootstrap 95% CIs did not contain zero. Overall, our findings suggested that loneliness not only can directly influence elderly migrants' anxiety and depressive symptoms but also by increasing perceived stress or decreasing resilience.
Keywords: loneliness, anxiety, depression, elderly migrants, mediation analysis
Introduction
Population migration is a key issue and a significant factor in the sustainable population development of China (1). Population migration is a complex process involving multiple changes, which can bring about a series of problems such as lack of social networks and social support, language and cultural differences, and discrimination, all of them may have a negative effect on migrants' mental health (2, 3). According to “Report on China's Migrant Population Development”, during the 15 years from 2000 to 2015, the number of elderly migrants increased from 5.03 to 13.04 million, with a 6.3% annual increase (1). With the rapid increase of elderly migrants, more and more researchers have begun to pay attention to their physical and mental health.
Anxiety and depression are two common psychological disorders in later life (4–7), and are significantly associated with low quality of life and high risk of suicide (8–11). The West China Health and Aging Trend Study shows that 20.8% elderly people have the anxiety symptoms, and 19.6% have depressive symptoms (7). Over the past few decades, researchers have carried out numerous studies on the factors that may put people at risk of anxiety and depression. Previous studies have confirmed that loneliness is a key predictor of anxiety and depressive symptoms (6, 12). However, researchers did not deliberately distinguish elderly migrants from non-migrants, although previous studies have shown that migrants are more likely to suffer psychological disorders than non-migrants (13–15). And little is known the psychological mechanisms linking them. So, we conducted this study aimed at examining the effects of loneliness on anxiety and depressive symptoms among Chinese elderly migrants, and attempted to explore the mediating roles of perceived stress and resilience.
Loneliness, anxiety and depression
Loneliness refers to the subjective feeling of inadequate social relations (16) and has become a public health problem (17). A national survey including 20,255 Chinese elderly people aged 60 and above showed that 29.6% participants reported “often felt lonely” (18). For elderly people, they will face a shrinking of social network, decrease of social interaction, and loss of social roles as they age, all of them may make them feel lonely (6). An overview of 40 systematic reviews found that loneliness is associated with the increased mortality and negative mental health outcomes (19).
Anxiety and depression are common mental health problems in the elderly and are the hot topics of gerontological research. Numeral studies have confirmed that loneliness is associated with anxiety and depressive symptoms in the elderly (6, 12). Creese et al. (20) found that loneliness was a risk factor for anxiety and depression in the elderly both before and during COVID-19 (20). In addition, a 5-year longitudinal study conducted in Chicago found that loneliness can predict the subsequent increase of depressive symptoms in the elderly (21).
The mediating role of perceived stress and resilience
Stress is an important risk factor for physical and mental health, and can affect health not only directly through autonomic and neuroendocrine responses, but also indirectly through changes in health-related behaviors (22). Perceived stress is the assessment of the level of threat from the stressor they face (23, 24). In past studies, researchers have found that people with high levels of perceived stress have high risks to suffer anxiety and depression (21). Loneliness is a painful experience, and has been confirmed as a stressor (25, 26). Burke and Segrin (25) found that loneliness had a positive effect on perceived stress. Similarly, Cacioppo et al. (27) found that people who felt lonely had a higher level of perceived stress than non-lonely people, even when they were exposed to a similar frequency and intensity of stressor, and even when they were relaxed. Moreover, several studies in Chinese elderly population confirmed that perceived stress was a crucial mediator between the relationship of loneliness and mental health (28–30). So, we speculate that perceived stress plays a crucial role between the relationships of loneliness on anxiety and depressive symptoms among Chinese elderly migrants.
Resilience refers to the ability of a person to adapt to and recover from trauma, adversity and stressor (31, 32). It is well-known that resilience is a protective factor for health and wellbeing, and is a key contributor of successful aging (33–35). Several empirical studies have confirmed that people with high resilience are at a low risk to suffer anxiety and depression (6, 36). Kumpfer's resilience framework suggests that resilience can mediate the relationships between adversity and its outcomes and propel a person to grow by facing adversity (37). A study in nursing homes found that loneliness had a negative effect on elderly people' depression and resilience played a mediating role between this association (38). Moreover, researchers argued that resilience can be influenced by internal factors (biological and psychological) and external factors (environmental) (34, 39). For the elderly migrants, the environmental changes coming with migration may influence their resilience (40). So, we think that elderly migrants' resilience is worth investigating and it may play a crucial role between the relationship of loneliness on anxiety and depressive symptoms among Chinese elderly migrants.
The current study
From what has been discussed above, we can find that there exists a significant reciprocal relationship between loneliness, perceived stress, resilience, anxiety and depressive symptoms, and perceived stress and resilience maybe play crucial roles between the relationships of loneliness on anxiety and depressive symptoms. Elderly migrants who face the dual challenges of aging and migration are more likely to suffer psychological disorders. However, most of the previous studies on the effects of loneliness on anxiety and depression did not distinguish elderly migrants from non-migrants. The purpose of this study is to examine the relationships between loneliness on anxiety and depressive symptoms among Chinese elderly migrants, and explore the mediating roles of perceived stress and resilience. Thus, we propose the following hypotheses (Figure 1).
Figure 1.
Hypothesized relationships between loneliness, perceived stress, resilience, anxiety and depression.
Hypothesis 1. Loneliness is a positive predictor of anxiety and depressive symptoms among Chinese elderly migrants.
Hypothesis 2. Perceived stress plays a mediating role in the relationship between loneliness and anxiety symptom among Chinese elderly migrants.
Hypothesis 3. Perceived stress plays a mediating role in the relationship between loneliness and depressive symptom among Chinese elderly migrants.
Hypothesis 4. Resilience plays a mediating role in the relationship between loneliness and anxiety symptom among Chinese elderly migrants.
Hypothesis 5. Resilience plays a mediating role in the relationship between loneliness and depressive symptom among Chinese elderly migrants.
Methods
Participants
The data in this study came from the National Social Science Foundation Project of China “A follow-up study on the mechanism of intergenerational relationship on the mental health of elderly migrants”. This project was performed from September 2019 to September 2020 in Nanjing, Jiangsu Province, China. The project first randomly selected seven districts in Nanjing (Qinhuai, Qixia, Gulou, Xuanwu, Jianye, Yuhuatai, and Jiangning District), then randomly selected three communities in each district, and finally recruited elderly migrants who met the inclusion criteria in these 21 communities. All participants were informed of the purpose of the study and volunteered to participate. All participants were face-to-face interviewed using a structured questionnaire. All interviewers had medical research background and received uniform and standardized training prior to the project. This study used the first phase survey data of the project. Inclusion criteria were: (1) aged 60 and above; (2) household registration not moved to Nanjing; (3) moved to Nanjing ≤ 10 years. A total of 654 participants were included in this study after screening. The mean number of years that participants moved to Nanjing was 3.96 ± 1.96. The necessary permission to conduct this study was obtained from the ethics committee of the university.
Measures
Loneliness
The UCLA 3-item loneliness scale was used to measure loneliness of elderly migrants (41). Each item is scored on a scale from 1 (hardly ever or never) to 3 (almost always) and the total score ranges from 3 to 9. Higher scores indicate higher feeling of loneliness. The Chinese version has high reliability and validity in the elderly (42, 43). Cronbach's α for the present sample was 0.866.
Perceived stress
Perceived Stress Scale (PSS) was used to measure perceived stress of elderly migrants over the past month (23). PSS consists of 14 items and two subscales: sense of uncontrollable and sense of nervous. Items 4, 5, 6, 7, 9, 10, and 13 belong to the uncontrollable dimension and are scored in reverse. Items 1, 2, 3, 8, 11, 12, and 14 belong to the nervous dimension. Each item is scored on a scale from 0 (never) to 4 (always) and the total score ranges from 0 to 56. Higher scores indicate higher perceived stress. The Chinese version is translated by Yang and Huang (44), and has high reliability and validity (44, 45). Cronbach's α for the present sample was 0.809.
Resilience
The 10-item Connor–Davidson Resilience Scale (CD-RISC-10) was used to measure resilience of elderly migrants (46). CD-RISC-10 contains 10 items. Each item is scored on a scale from 1 (never) to 5 (always) and the total score ranges from 10 to 50. Higher scores indicate higher resilience. Several studies have shown that CD-RISC-10 has high reliability and validity in the Chinese population (47, 48). Cronbach's α for the present sample was 0.922.
Anxiety
The Hospital Anxiety and Depression Scale-Anxiety (HADS-A) was used to measure anxiety of elderly migrants (49). HADS-A is a screening scale for anxiety which consists of seven items. Each item is scored on a scale from 0 to 3 and the total score ranges from 0 to 21. Higher scores indicate higher risks to suffer anxiety. Several studies have shown that HADS-A also has a high reliability and validity in the general population (5, 50). Cronbach's α for the present sample was 0.787.
Depression
The 9-item Patient Health Questionnaire (PHQ-9) was used to measure depression of elderly migrants over the past 2 weeks (51). PHQ-9 is a screening scale for depression which consists of 9 items. Each item is scored on a scale from 0 (never) to 3 (almost every day) and the total score ranges from 0 to 27. Higher scores indicate higher risks to suffer depression. The Chinese version has been widely used and demonstrated a high reliability and validity among elderly people (52, 53). Cronbach's α for the present sample was 0.806.
Demographic variables
Demographic data such as age, sex, marital status, education level, religious belief, household registration, retirement pension and yearly income were collected. Marital status was categorized into: divorced or widowed, married and having a spouse. Education level was classified as primary school or lower, junior or senior high school, and college or higher. Yearly income was categorized as: 0–5,000¥, 5,001–10,000¥, 10,001–20,000¥, and >20,000¥.
Analytic strategies
Scale items were presented in Table 1. All analyses were conducted in the SPSS 26.0 software and the significance level was set at 0.05 (two-tailed). Firstly, we implemented descriptive analysis to describe the demographic characteristics of the participants. Then, we conducted the Pearson correlation analysis to examine the bivariate correlations of loneliness, perceived stress, resilience, anxiety and depression. Finally, we used the SPSS PROCESS macro 4.0 (54) to explore the mediating role of perceived stress and resilience between the relationship of loneliness and psychological distress. PROCESS Model 4 was used to build the multiple mediation models with a bootstrap sample of 5,000. The mediating effect was significant if the bootstrap 95%CI did not contain zero.
Table 1.
Scale items of UCAL-3, PSS and CD-RISC-10.
| Scale | Items |
|---|---|
| UCAL-3 | How often do you feel the lack of company? |
| How often do you feel that life is boring? | |
| How often do you feel isolated from others? | |
| PSS | Feeling distracted by something that cannot be expected to happen. |
| Feeling unable to control the important things in your life. | |
| Feeling jittery and stressed. | |
| Successfully deal with annoying life troubles. | |
| Feel that you can effectively deal with important changes in your life. | |
| Feel confident in being able to handle your own personal issues. | |
| Feel that things are going well. | |
| Find yourself unable to handle all the things you have to do. | |
| There are ways to control the annoying things in your life. | |
| Feel like you are in charge of things. | |
| You are often angry because many things are happening beyond your control. | |
| You often feel that there are things you have to accomplish. | |
| Able to master the way of time arrangement. | |
| Feel that difficult things are piling up and you can't get over them. | |
| CD-RISC-10 | I can adapt to changes. |
| I can handle anything. | |
| I can find the humorous side of things. | |
| Dealing with stress makes me stronger. | |
| I can bounce back after illness and hardship. | |
| Even with the obstacles, I can still achieve my goals. | |
| Under pressure, I can still focus and think clearly. | |
| I don't get discouraged easily by failure. | |
| I consider myself a strong person. | |
| I can deal with unpleasant feelings. |
Results
Demographic characteristics
The demographic characteristics of all 654 participants were shown in Table 2. In this study, the mean age of elderly migrants was 66.05 years old (SD = 4.67; Range = 60–86), 216 (33.0%) were males and 438 (67.0%) were females. One hundred and one (15.4%) elderly migrants had a terrible marital status (divorced or windowed). Three hundred and fifty-four (54.1%) had a low level of education (primary school or lower). Ninety-nine (15.1%) had a religious belief. Four hundred and fifty-three (69.3%) had a rural household registration. Four hundred and three (61.6%) had a retirement pension.
Table 2.
Demographic characteristics of 654 participants.
| Variables | Category | N | Mean ±SD/percentage |
|---|---|---|---|
| Age | 654 | 66.05 ± 4.67 | |
| Gender | Male | 216 | 33.0% |
| Female | 438 | 67.0% | |
| Marital status | Divorced or widowed | 101 | 15.4% |
| Married with spouse | 553 | 84.6% | |
| Education level | Primary school or lower | 354 | 54.1% |
| Junior or senior high school | 262 | 40.1% | |
| College or higher | 38 | 5.8% | |
| Religious belief | No | 555 | 84.9% |
| Yes | 99 | 15.1% | |
| Household registration | Rural | 453 | 69.3% |
| Town | 201 | 30.7% | |
| Retirement pension | No | 251 | 38.4% |
| Yes | 403 | 61.6% | |
| Yearly income (¥) | 0–5,000 | 249 | 38.0% |
| 5,001–10,000 | 126 | 19.3% | |
| 10,001–20,000 | 87 | 13.3% | |
| >20,000 | 192 | 29.4% |
Bivariate correlations of the key variables
The bivariate correlations of the key variables were presented in Table 3. The results showed that loneliness, perceived stress, resilience and anxiety were significantly correlated with each other (p < 0.001). As hypothesized, loneliness was positively correlated with perceived stress (r = 0.398, p < 0.001) and negatively correlated with resilience (r = −0.298, p < 0.001). In addition, loneliness was positively correlated with anxiety (r = 0.361, p < 0.001) and depression (r = 0.430, p < 0.001). Perceived stress was negatively correlated with resilience (r = −0.607, p < 0.001), and positively correlated with anxiety (r = 0.499, p < 0.001) and depression (r = 0.517, p < 0.001). Resilience was negatively correlated with anxiety (r = −0.378, p < 0.001) and depression (r = −0.444, p < 0.001). Based on the bivariate correlations between variables, we further conducted the multiple mediation analyses to explore the mediating roles of perceived stress and resilience in the following section.
Table 3.
The results of Pearson correlation analysis.
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|
| 1. Loneliness | 4.02 | 1.43 | 1 | ||||
| 2. Perceived stress | 20.87 | 7.66 | 0.398*** | 1 | |||
| 3. Resilience | 33.06 | 7.53 | −0.298*** | −0.607*** | 1 | ||
| 4. Anxiety | 11.20 | 3.36 | 0.361*** | 0.499*** | −0.378*** | 1 | |
| 5. Depression | 5.00 | 3.99 | 0.430*** | 0.517*** | −0.444*** | 0.521*** | 1 |
p < 0.001 (two-tailed).
Mediation analyses
The results of the multiple mediation analyses were shown in Tables 4, 5 and Figures 2, 3. In the multiple mediation model, loneliness was entered as the independent variable; anxiety and depression as the dependent variables; perceived stress and resilience as the mediating variables, and age, gender, marital status, education level, religious belief, household registration, retirement pension and yearly income as the control variables.
Table 4.
The results of the multiple mediation model.
| Path | Effect | Boot SE | Boot LLCI | Boot ULCI | Ratio |
|---|---|---|---|---|---|
| Total indirect effect | 0.154a | 0.020 | 0.116 | 0.195 | 45.0% |
| Indirect effect 1 (X → M1 → Y) | 0.128a | 0.020 | 0.092 | 0.168 | 37.4% |
| Indirect effect 2 (X → M2 → Y) | 0.026a | 0.011 | 0.005 | 0.049 | 7.6% |
| Compare 1 (Indirect effect 1 minus 2) | 0.103a | 0.025 | 0.055 | 0.153 |
X, Loneliness; Y, Anxiety; M1, Perceived stress; M2, Resilience. Ratio, the ratio of the indirect effect to the total effect.
The bootstrap 95% CIs not contain zero. Age, sex, marital status, education level, religious belief, household registration, retirement pension and yearly income were analyzed as control variables. All values have been standardized.
Table 5.
The results of the multiple mediation model.
| Path | Effect | Boot SE | Boot LLCI | Boot ULCI | Ratio |
|---|---|---|---|---|---|
| Total indirect effect | 0.154a | 0.020 | 0.115 | 0.194 | 38.7% |
| Indirect effect 1 (X → M1 → Y) | 0.111a | 0.020 | 0.073 | 0.151 | 27.9% |
| Indirect effect 2 (X → M2 → Y) | 0.043a | 0.012 | 0.020 | 0.069 | 10.8% |
| Compare 1 (Indirect effect 1 minus 2) | 0.068a | 0.026 | 0.016 | 0.120 |
X, Loneliness; Y, Depression; M1, Perceived stress; M2, Resilience. Ratio, the ratio of the indirect effect to the total effect.
The bootstrap 95% CIs not contain zero. Age, sex, marital status, education level, religious belief, household registration, retirement pension and yearly income were analyzed as control variables. All values have been standardized.
Figure 2.
The multiple mediation model of the association between loneliness and anxiety through perceived stress and resilience. *p < 0.05, ***p < 0.001 (two-tailed). All values have been standardized.
Figure 3.
The multiple mediation model of the association between loneliness and depression through perceived stress and resilience. ***p < 0.001 (two-tailed). All values have been standardized.
Table 4 and Figure 2 showed the mediating role of perceived stress and resilience in the relationship between loneliness and anxiety. The total effect of loneliness on anxiety was 0.342 (p < 0.001). When perceived stress and resilience entered as mediators, the effect decreased (β = 0.188, p < 0.001). The total indirect effect was 0.154 (95% CI: 0.116, 0.195) and the ratio to the total effect was 45.0% (0.154/0.342). The indirect effect of perceived stress was 0.128 (95% CI: 0.092, 0.168; Ratio = 37.4%). Resilience was 0.026 (95% CI: 0.005, 0.049; Ratio = 7.6%). All the indirect effects were significant because the bootstrap 95% CIs did not contain zero. Hypothesis 1, hypothesis 2 and hypothesis 4 were confirmed. In addition, the indirect effect of perceived stress was significantly higher than resilience, as the bootstrap 95% CIs did not contain zero (95% CI: 0.055, 0.153).
Table 5 and Figure 3 showed the mediating role of perceived stress and resilience in the relationship between loneliness and depression. The total effect of loneliness on depression was 0.398 (p < 0.001). When perceived stress and resilience entered as mediators, the effect decreased (β = 0.244, p < 0.001). The total indirect effect was 0.154 (95% CI: 0.115, 0.194; Ratio = 38.7%). The indirect effect of perceived stress was 0.111 (95% CI: 0.073, 0.151; Ratio = 27.9%). Resilience was 0.043 (95% CI: 0.020, 0.069; Ratio = 10.8%). All the indirect effects were significant because the bootstrap 95% CIs did not contain zero. Hypothesis 1, hypothesis 3 and hypothesis 5 were confirmed. In addition, the indirect effect of perceived stress was significantly higher than resilience, as the bootstrap 95% CIs did not contain zero (95% CI: 0.016, 0.120).
Discussion
The main purpose of this study is to examine the relationships between loneliness, anxiety and depression among Chinese elderly migrants, and explore the psychological mechanisms linking them. In line with our expectations, all hypotheses we presented before were confirmed. Through the Pearson correlation analysis, we found that there was a significant pairwise correlation between loneliness, perceived stress, resilience, anxiety and depression. Based on these correlations, we further conducted the multiple mediation analyses. One major finding of the multiple mediation analysis is that loneliness is a positive predictor of anxiety and depression among Chinese elderly migrants, meaning that elderly migrants with higher loneliness have greater anxiety and depression. Another one is that elderly migrants' reported status of perceived stress and resilience strongly mediated the relationship of loneliness on anxiety and depression. The total mediating effects of perceived stress and resilience are 45.0 and 38.7%, respectively, revealing that our mediating variables play crucial roles in explaining the relationships of loneliness on anxiety and depression. In short, loneliness can not only directly affect anxiety and depression, but also can indirectly affect them by perceived stress or resilience.
The direct effect of loneliness on anxiety and depression
In line with hypothesis 1, loneliness is a positive predictor of elderly migrants' anxiety and depression. Higher loneliness is associated with greater anxiety and depressive symptoms. The result is consistent with those in the general elderly population (6, 20). However, the scores of loneliness, anxiety and depression are lower than previous studies in the general elderly population, which are contrary to what we envisioned. This phenomenon may be explained by the multidimensional properties of loneliness and the characteristics of Chinese elderly migrants. Loneliness is regarded as a multidimensional concept that includes social loneliness and emotional loneliness, the former being influenced by social networks, and the latter by intimate relationships (55, 56). Previous studies have found that both of social loneliness and emotional loneliness are significant associated with psychological health (57, 58). For the elderly migrants, they usually face a shrinking of social network and difficulties of social integration due to the change of environment as well as language and cultural differences that come with migration (3, 59, 60). In addition, due to the fact that the main purpose of migration among Chinese elderly migrants is providing care for their grandchildren, the average age of the samples in the study of elderly migrants is significantly lower than in the study of the general elderly population (66.05 ± 4.67 in this study) and the intimate relationship may be improved. We think that all of these lead to the difference between our study and studies in the general elderly population.
The mediating role of perceived stress and resilience
In line with our hypotheses, perceived stress plays a mediating role between the relationship of loneliness on anxiety and depression. The mediating effects of perceived stress are 37.4 and 27.9%, respectively. This finding is consistent with previous studies revealing that loneliness is a risk factor for anxiety and depression, and is associated with high levels of perceived stress (28, 61). Previous studies have found that loneliness is a stressor and positively associated with perceived stress. Loneliness usually demonstrates the lack of social and intimate relationships which shrinks the ways to copy stress (27). As a result, it is easy to suffer psychological problems such as anxiety and depression.
Our results also found that resilience was an important mediator between the relationship of loneliness on anxiety and depression among Chinese elderly migrants. The mediating effects of resilience are 7.6 and 10.8%, respectively. This finding agrees with Kumpfer's resilience framework, where resilience can mediate the relationship between adversity and its outcomes (37). In this study, loneliness is regarded as an adversity, with anxiety and depression as its negative outcomes. As mentioned above, loneliness can limit individuals' recourses to seek help when they suffer adversities, which are a manifestation of resilience. However, resilience is helpful to increase the belief to overcome elderly migrants' negative outcomes (62). Thus, the relationships between loneliness, resilience, anxiety and depression among Chinese elderly migrants are clear. Loneliness can not only directly influence anxiety and depression, but also through the mediating effect of resilience. In addition, the comparisons of the mediating effects of perceived stress and resilience showed that the effects of perceived stress were significantly stronger than resilience both in the relationship between loneliness and anxiety and in the relationship between loneliness and depression. In short, perceived stress and resilience play crucial roles in explaining the relationships of loneliness on anxiety and depression among Chinese elderly migrants. For elderly migrants who feel lonely, they are more likely to suffer anxiety and depression. According to the findings of this paper, the interventions that combine components of reducing perceived stress or increasing resilience are important to improve their anxiety and depression. The community can organize some activities and lectures to provide a platform for elderly migrants to get out of their house and communicate and interact with others. And adult children should communicate more with their elderly parents with the experience of migration to identify and help them cope with adversities in a timely manner.
Limitation
Firstly, the cross-sectional research design makes it difficult to reveal causal relationships between the key variables. Secondly, the information collected through participant self-reports may affect the reliability of our results, although we have assessed the reliability of the used scales and gained a positive result. Thirdly, the project was not originally designed to measure the effects of loneliness on psychological distress, so some potential control variables were not measured. For example, the age at which older migrants move may have an impact on our results, as those who move at age 50 and older may have different experiences than those who move at age 60 and older. Lastly, all participants were recruited from Nanjing, Jiangsu Province, and may not apply to other regions with different geographic and cultural backgrounds. In future studies, conduct a longitudinal study In future studies, a longitudinal study design is needed to clarify the causal relationship between loneliness and psychological disorders. In addition, we will try to collect samples of elderly migrants from different regions of China and fully consider the possible influencing factors to fill the gaps in the current study.
Conclusion
This study was an important extension of the literature on elderly migrants, not only confirming the important role of loneliness in anxiety and depressive symptoms, but also finding the crucial mediating roles of perceived stress and resilience. The present findings showed that loneliness was positively associated with anxiety and depressive symptoms among Chinese elderly migrants. Loneliness can not only directly affect anxiety and depressive symptoms, but also affect them by increasing perceived stress or decreasing resilience. Loneliness, anxiety and depression are prevalent in elderly people, and all of them can pose serious threats to elderly people' health and wellbeing. The findings of this study suggest that loneliness puts elderly migrants at risk for anxiety and depressive symptoms. But we can mitigate the negative effects of loneliness by reducing the level of perceived stress or increasing the level of psychological resilience (especially by reducing perceived stress).
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by the Ethics Committee of Nanjing Medical University. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
Author contributions
HW: conceptualization, methodology, formal analysis, and writing—original draft. YH: formal analysis and writing—original draft. LZ, MY, and RD: investigation and data curation. JY: conceptualization, supervision, and writing—review and editing. All authors have approved the final manuscript.
Funding
This work was supported by the National Social Science Foundation of China (number: 18BRK026).
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.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We thank all investigators and community managers who participated in this work, as well as all elderly migrants who participate in this study.
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Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.