Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 28 November 2023
Sec. Public Mental Health
This article is part of the Research Topic Community Series In Mental-Health-Related Stigma and Discrimination: Prevention, Role, and Management Strategies, volume II View all 23 articles

Insights from China: understanding the impact of community resilience and government trust in psychological resilience and anxiety during COVID-19

Yue HuYue Hu1Yuxin HuangYuxin Huang1Hua Zhang
Hua Zhang1*Min FangMin Fang2Guobang ChenGuobang Chen1
  • 1School of Political Science and Public Administration, Guangxi Minzu University, Guangxi, China
  • 2School of Public Administration, South China Agricultural University, Guangzhou, Guangdong Province, China

Background: COVID-19 has the potential to greatly impact an individual mental well-being. However, an individual’s psychological resilience, combined with support from their community and government disaster relief efforts can aid individuals in confronting crises with a positive mindset. The purpose of this study is to investigate how individuals, across three dimensions of individual resilience perception, community resilience perception, and government trust perception, mitigate individual anxiety during COVID-19.

Methods: This study employed an online survey method that was not restricted by geographical location. Data collection took place from January 2022 to June 2022, and the valid questionnaires covered all 31 provinces, autonomous regions, and municipalities in China. The assessment of community resilience was conducted employing the Conjoint Community Resilience Assessment Measure-10 (CCRAM-10). Structural Equation Modeling (SEM) was also used to examine the relationship between community resilience, government trust, individual psychological resilience, and anxiety.

Results: The SEM results reveal that individual psychological resilience is significantly negatively correlated with anxiety (b = −0.099, p < 0.001), while there is a significant positive correlation between community resilience perception (b = 0.403, p < 0.001) and government trust (b = 0.364, p < 0.001) with individual psychological resilience. Furthermore, government trust perception enhances psychological resilience, consequently reducing anxiety (b = −0.036, p < 0.001). The results also revealed that women and increasing age had a mitigating effect on individual anxiety during COVID-19.

Conclusion: Individual’s mental state is influenced on multiple dimensions during COVID-19. Not only can individual psychological resilience better cope with anxiety, but support at the community and government dimensions has a significant impact on individual psychology. These resources can enhance the resilience of both individuals and communities, helping them better cope with stress and difficulties.

Introduction

Ulrich Beck’s risk society thesis underscores that contemporary society is characterized by an awareness of risk and uncertainty (1). During a pandemic outbreak, individuals may experience heightened levels of anxiety, fear, helplessness, and stress related to the possibility of getting sick or dying (13). No individual can easily avoid exposure to public risks. Moreover, with many countries implementing stay-at-home measures to reduce the spread of the novel coronavirus, social interactions among residents have decreased. During this time, individuals may experience increased social isolation and loneliness, leading to more pronounced levels of anxiety and depression (47). Research has unveiled that psychological resilience plays a pivotal role in enabling individuals to adapt to their psychological, emotional, and physical environments while facilitating self-recovery and rejuvenation following periods of duress. This intrinsic psychological resilience is instrumental in an individual’s capacity to confront diverse stressors and challenges, thereby augmenting self-assurance, optimism, and overall life quality (810).

However, during a crisis, vulnerable individuals have limited capacities to cope with risks and have limited access to human an economic resource that can be mobilized (11). In such circumstances, the importance of external support in reducing an individual’s vulnerability to further trauma becomes paramount (12). Primarily, communities first become the buffer point under the impact of public crises. Social support from neighbors and friends within residential communities significantly reduces the negative impact of major disasters on individual mental health (13). In addition, citizens’ confidence in local government can diminish the public perception of crisis-related risks and future apprehensions, thus augmenting their perceived control over the crisis and effectively safeguarding their mental health (11, 14).

Research related to resilience have attracted the attention of numerous disciplines (15). However, current research on community resilience primarily concentrates on the resilience capacity at the community level (9, 1618). Secondly, previous studies have often examined pairwise relationships, such as the impact of community resilience on psychological resilience or the relationship between trust in government and mental health. Using SEM, a commonly used tool in psychological research. It better allows for the examination and identification of the correlations and the proportion of mediating effects among variables. This study employs SEM to examine how assessments in three dimensions, namely individual resilience, perceived community resilience, and perceived government trust, affect mental health during COVID-19.

Anxiety and psychology resilience during crisis

Anxiety is a common human psychological emotion, typically triggered by both internal and external stimuli. In appropriate circumstances, anxiety responses can help individuals better cope with stress and challenges. However, excessive anxiety can lead to various psychological disturbances, subsequently affecting an individual’s physiological and behavioral well-being (19). During a pandemic outbreak, individuals may experience fear and a sense of helplessness regarding illness or death (20, 21). Feelings of social isolation and loneliness may intensify, and the levels of anxiety and depression may become more pronounced (57).

Psychological resilience explains why certain individuals are better able to process traumatic internal injuries than others (22), achieving better psychological and emotional balance (23, 24), and being more likely to respond positively during crises (25). Psychological resilience can be seen as a malleable capability, which is a person’s capacity to adapt and recover when facing difficulties, setbacks, and stress. This capability can change with changes in the environment (26). This ability can be learned and developed by anyone (27). Many studies have confirmed that this inherent psychological resilience is crucial for an individual’s ability to confront diverse stresses and challenges, contributing to increased self-confidence, motivation, and quality of life (8, 10, 28).

Prior literature has demonstrated a negative relationship between psychological resilience and anxiety. For instance, studies on events such as Hurricane Katrina in Louisiana and the Deepwater Horizon oil spill have shown that lower levels of psychological resilience in individuals are associated with higher rates of depression and anxiety (29). Another example is the aftermath of intensive terrorist attacks in Israel, where individual resilience serves as a protective factor, effectively reducing individual anxiety levels (17).

Community resilience during crisis

The development of individual psychological resilience is not only associated with individual characteristics but also closely related to one’s social support network. A positive and supportive peer group can provide necessary support and assistance, thereby enhancing an individual’s psychological resilience (12). While individual resilience plays a role in coping with crises, individuals in crisis situations, especially vulnerable groups, are often more susceptible to risk, making external support crucial in minimizing the risk of further trauma. During public crises, communities become a buffer in the face of crisis impacts, serving as the frontline units in dealing with the crisis directly, responding to it, and managing it (30).

Community resilience is an ability that encompasses both resilience and protection (31). Researchers have pointed out that resilience plays a role in maintaining stability, recovering, and reconstructing (32). These abilities and functions stem from the community itself and are reflected in its members (33). A resilient community not only helps prevent or minimize loss or damage to life, property, and the environment but also has the capacity to respond quickly and recover normal operations, even when critical parts of the community are severely affected (34). Communities can increase their resilience, reduce risk, and overall vulnerability through sustainable development policies, effective intervention measures, increased social support and resources (35, 36).

Communities are the refuge for residents, especially resilient communities that can effectively reduce the impact of disasters on residents, provide timely assistance and support, and help people gradually return to normal life. Resilient communities can provide emotional support, material assistance, and social connections, offering strong support for individual resilience during crises (37). When communities successfully resist risks, people’s psychological stress is relieved (38), thus reducing the trauma caused by risks and communication errors (39). Social support from neighbors and friends in residential communities also significantly reduces the negative impact of major natural disasters on individuals’ mental health (13). Braun-Lewensohn and Sagy (40) found that community resilience is closely related to the reduction of anxiety levels among rural residents during missile attacks. Williams and Merten’s research (41) discovered that community interactions among teenagers have a positive impact on the long-term mental health of teenagers.

Government crisis management and trust

Government’s governance actions during disasters and citizens’ trust in the government can also have a positive impact on the development of psychological resilience (14). Behavioral public administration applies psychological theories to introduce government trust as a factor influencing individual psychology in public crises (42, 43). The logic behind how government trust alleviates individual anxiety during crises is as follows: firstly, citizens’ trust in the government can reduce the public’s perception of crisis-related risks and future concerns, enhance their perception of crisis controllability, thus effectively protecting their mental health (14, 44, 45). Studies have pointed out that local governments played a crucial role in issuing policies, communicating information, and organizing resources during the Covid-19 crisis (30). During the outbreak of the SARS virus in 2003, the trust of residents in the Hong Kong region in the government and healthcare institutions effectively mitigated the harm caused by personal anxiety (14). Under the influence of government and media protective measures, residents’ trust reduces their perceived risk, weakening the sense of crisis (46). When the public has trust in the government, they are more likely to accept the information and measures provided by the government, thus reducing unnecessary panic and worry (44).

Moreover, as a mechanism for reducing complexity, public trust in the government can also increase cooperation and coordination between the government and the public, maintaining people’s ability to act in complex environments, thereby better addressing crises (47). Because crisis events provide opportunities that require close social cooperation to address them, positive outcomes in crisis interventions can lead to a “unity effect” in public psychology (48). Therefore, trust is a key element in resolving collective action dilemmas (49). Government trust also increases community cooperation, thus enhancing community resilience.

Secondly, the policies issued by the government are mainly implemented at the community dimension, with communities in China designed as the basic administrative units. Community resilience plays a supportive role in individual resilience, and the construction of community resilience also requires support and efforts from various stakeholders. This includes support and assistance from local governments, non-governmental organizations, and other relevant stakeholders (50). Community resilience requires sufficiently strong and fast resources to facilitate functional recovery in response to changing environments (15). Some researchers have pointed out that resilient communities are successful in lobbying the government to provide resources for community reconstruction (51). The higher the level of material preparedness, the higher the perception of residents regarding the connections, resources, and potential for change within the community (52). When resources and characteristics are sufficient to generate resistance or resilience, the community can maintain its functionality (36).

Framework and hypotheses

The above literature emphasizes the impact of community resilience and government trust on individual psychological resilience and anxiety. Based on the literature, we have established a theoretical framework for anxiety, psychological resilience, community resilience, and government trust (Figure 1). First, researchers have pointed out that psychological resilience explains why some individuals are better able to cope with traumatic injuries than others (22), making it easier to achieve psychological and emotional balance (23, 24, 53). Therefore, we propose the hypothesis:

FIGURE 1
www.frontiersin.org

Figure 1. The theoretical framework that encompasses the relationships between interconnects anxiety, psychological resilience, community resilience, and government trust.

Hypothesis 1 (H1): Individual psychological resilience mitigates individual anxiety emotions.

Furthermore, research indicates that community resilience has a positive impact on individual psychological resilience. The stress-buffering hypothesis confirms that social support may positively affect individuals’ psychological ability to resist risks during crises, thereby moderating the impact of stress on pathological stress responses (54). The more support from external sources, the stronger an individual’s ability to cope with stressful situations (37).

In addition to the influence of community resilience on psychological resilience, research also suggests the role of community resilience in psychological well-being. Personal social support enhances an individual’s ability to cope with external challenges, and the individual’s sense of anxiety during crises is reduced (55). Social support from neighbors and friends in residential communities also significantly reduces the negative impact of major natural disasters on individual mental health (13). Zhang et al.’s (56) study found that international students in Wuhan, during the lockdown, experienced reduced anxiety through the indirect impact of perceiving community resilience on community communication and support. Zhang et al.’s (18) research found that community resilience alleviated mental health stress among the older adults through the perception of community prevention effects. Based on the literature mentioned above, we propose the following hypotheses:

Hypothesis 2 (H2): Community resilience increases individual psychological resilience.

Hypothesis 3 (H3): Community resilience alleviates anxiety by enhancing individual psychological resilience.

Individual trust in the government can have a positive impact on the development of psychological resilience (11). When the public has trust in the government, it enhances their perception of crisis controllability and can further effectively protect their mental health (14, 46). Previous research has often not strictly distinguished psychological well-being from psychological resilience and anxiety. We believe that trust in the government not only enhances individual resilience and reduces individual anxiety but also alleviates anxiety through the enhancement of individual resilience. Based on this, we propose the following hypotheses:

Hypothesis 4 (H4): Citizens’ government trust enhances individual psychological resilience.

Hypothesis 5 (H5): Government trust alleviates anxiety by enhancing individual psychological resilience.

Furthermore, community resilience builds a stable institutional environment that encourages the formation of trust beliefs and trust behaviors. Similarly, trust is conducive to the occurrence of cooperative behavior (57), and when such cooperative behavior occurs within a community, community resilience is also enhanced. Trust and community resilience mutually influence each other, leading to co-variation effects and impacting individual resilience. Zhang’s (58) study treated trust in the government as a moderating variable for community resilience and anxiety. Community resilience reduced anxiety in older adults during COVID-19, but this association weakened in older adults with low trust in the government. In another study by Zhang, governance efficacy was treated as an intermediate variable for community resilience (18). We believe that communities and higher-level local governments are different government levels that residents can typically distinguish and perceive their subjective feelings. Therefore, we consider the perceived community resilience at the community dimension and the perceived trust in the government at the government dimension as two independent variables. The subjective feelings of these two government dimensions will have co-variation effects.

Methods

Variables and measurement

The first section of the questionnaire comprises demographic information about residents, including gender, age, marital status, household registration, political affiliation, educational level, and annual income. The second section assesses anxiety, psychological resilience, community resilience, and government trust.

Anxiety

Drawing from the model of the Generalized Anxiety Disorder-7 (GAD-7) scale (59), we measured anxiety using a 7-item anxiety subscale from the Depression Anxiety Stress Scales. Participants were asked to indicate how much time, in the past 2 weeks, they have been troubled by specific issues presented in 7 questions. The seven questions are: “1. Feeling tense, anxious, or restless.” “2. Unable to stop or control worries.” “3. Excessive worry about various things.” “4. Finding it difficult to relax.” “5. Unable to calm down due to unease.” “6. Easily getting upset or irritable.” “7. Feeling something dreadful is going to happen.” Responses were scored on a scale from 1 to 4, with higher scores indicating greater levels of anxiety.

Psychological resilience

Psychological resilience refers to an individual’s ability to adapt to external environmental changes when faced with adversity, threats, or challenges through self-regulation or external support (12). This study assessed participants’ self-perceived level of psychological resilience under emergency circumstances using two questions: “1. I can adapt to change” and “2. I tend to recover quickly after illness or difficulties.” Responses were rated on a scale from 1 to 5.

Community resilience

Community resilience capacity is defined as a social system’s preparedness, response, and recovery capabilities when faced with destructive disaster events (31). Assessment indicators for community resilience encompass a community’s ability to resist, respond to, recover from, and rebuild after crisis events (36). We adopted the CCRAM-10 assessment framework, which serves as a comprehensive indicator reflecting a community’s crisis response and recovery capabilities. It assesses community resilience from five aspects. Leadership: “1. The local government of my community functions well” and “2. The decision makers in the local government handle matters appropriately.” Collective efficacy: “3. There are mutual assistance and people care for one another. “and “4. I count on my community to assist and share essential information.” Preparedness: “5. Community has well-established infrastructure for emergency situation “and 6. Residents are aware of their roles in an emergency and respond promptly “. Place attachment: “7. I am proud to tell others where I live and participate community issues “and “8. I have a sense of belonging to my community.” Social trust: “9. Good relationships exist between various groups “and “10. Residents in my community trust each other and community develop well “. This framework is a well-established tool for assessing urban community resilience (60).

Specifically, leadership covers the cognitive perception of positive support provided by community leaders from the top down. Collective efficacy represents the level of mutual assistance and concern among neighbors. Preparedness involves the awareness of the community’s ability to respond to emergencies. Local attachment represents residents’ identification with their own community. Social trust reflects mutual trust and relationships among community residents (60). In this study, a 5-point Likert scale was used to measure the 10 items, with higher scores indicating a stronger perceived sense of community resilience.

Government trust

Government trust refers to the trust and reliance that the public places in the government. This trust is based on the belief in the government’s ability, goodwill, and integrity (61). To assess residents’ trust in the government during emergencies, we employed a 5-point Likert scale and asked:"1. Are you satisfied with the central government? “and “2. Are your satisfaction with the local government?” These items assessed the degree of trust residents had in government, with higher scores indicating greater trust.

Sample and data collection

This study used a questionnaire survey method, and data collection took place from January 2022 to June 2022, collecting a total of 2,316 questionnaires. During the COVID-19 pandemic, due to the widespread implementation of social distancing measures, conducting in-person surveys became challenging. Therefore, this study employed an online survey method that was not limited by geographical location. Participants were contacted using a snowball sampling method through the internet and social media, and data collection was conducted through anonymous online questionnaires. To select participants, we used the general characteristics of the entire online population as a reference. We chose four main demographic variables, including gender, region, educational level, and household registration, as sampling criteria. Researchers on social media selected respondents who met these criteria and distributed online questionnaires to them to obtain the sample. Valid questionnaires covered all 31 provinces, autonomous regions, and municipalities in China. Since we conducted an online convenience survey, the participants were relatively younger, but their characteristics were similar to those of Chinese internet users. After excluding invalid questionnaires, we obtained 2,279 valid questionnaires.

Data analysis

We commenced by conducting a descriptive statistical analysis of socio-demographic characteristics among our 2,279 participants, covering variables such as gender, age, marital status, residence, political affiliation, education, and income. Secondly, we conducted a correlation analysis to investigate potential associations between socio-demographic factors and our measurement variables. Finally, we employed SEM to examine the mediating role of psychological resilience in the relationships between anxiety and both community resilience and government trust. This analytical process encompassed model development, parameter estimation, and model fit testing, all executed using STATA 15.1 software.

Results

Descriptive statistics

The study included 2,279 participants, with a higher proportion of female participants (n = 1,334, 58.53%) compared to male participants (n = 945, 41.47%). The mean age was 28.66 years, with a median age of 24 years. Regarding marital status, 65.60% were unmarried, while 34.40% were married. In the context of political alignment, 21.59% were identified as members of the Chinese Communist Party (hereinafter referred to as CCP Members), while the vast majority, constituting 78.41%, were non-members of the Chinese Communist Party (hereinafter referred to as Non-CCP Members). Household registration was categorized as urban (n = 1,200, 52.65%) and non-urban (n = 1,079, 47.35%). Education levels were divided into three categories: high school and below (n = 297, 13.03%), college and bachelor’s degree (n = 1,697, 74.46%), and postgraduate or higher (n = 285, 12.51%; see Table 1).

TABLE 1
www.frontiersin.org

Table 1. Demographic characteristics of the participants.

The measurement of the four variables, anxiety, psychological resilience, community resilience, and government trust are carried out using 5-Likert scales. Firstly, Cronbach’s alpha was employed to examine the reliability of anxiety (α = 0.968), psychological resilience (α = 0.840), community resilience (α = 0.973), and government trust (α = 0.836). The Cronbach’s alpha values for the core variables were all greater than 0.80, which validates the high internal consistency of the relevant items on this scale, indicating good reliability. When we do correlation analysis and SEM later, we normalize the variables of 1–5 or 1–4 (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Investigation items of core variables in questionnaire.

Analysis of SEM results

In this study, we employed SEM for analysis. The model’s fit indices are as follows: the chi-square value is 4038.35 with 323 degrees of freedom, the Comparative Fit Index (CFI) is 0.934, the Tucker-Lewis Index (TLI) is 0.928, the Standardized Root Mean Square Residual (SRMR) is 0.041, and the Root Mean Square Error of Approximation (RMSEA) is 0.071. All these indicators meet the relevant standards and requirements, indicating a good model fit.

The results (see Figure 2; Table 3) show a significant negative correlation between anxiety and psychological resilience (b = −0.099, p < 0.001), confirming hypothesis H1. The enhancement of psychological resilience mitigates the negative impact of anxiety.

FIGURE 2
www.frontiersin.org

Figure 2. The results of SEM.

TABLE 3
www.frontiersin.org

Table 3. The results of direct, indirect, and total effects of demographic variables, anxiety, psychological resilience, community resilience, and government trust.

There is a significant positive correlation between community resilience and psychological resilience (b = 0.403, p < 0.001), confirming hypothesis H2. This suggests that a stronger community resilience is associated with higher individual psychological resilience in the face of risks. The construction of community resilience has a positive effect on individuals in risk situations. Community resilience has a positive and significant effect on anxiety (b = 0.169, p < 0.001). Although community resilience reduces anxiety by increasing psychological resilience (b = −0.040, p < 0.001), the overall effect remains significantly positive (b = 0.129, p < 0.001), and hypothesis H3 is not supported.

Individual government trust is significantly positively correlated with psychological resilience (b = 0.364, p < 0.001), confirming hypothesis H4. Residents with high trust in the government exhibit greater psychological resilience. Government trust not only reduces anxiety (b = −0.136, p < 0.001) but also alleviates anxiety by enhancing individual psychological resilience (b = −0.036, p < 0.001). The total effect of government trust on anxiety is −0.172 (p < 0.001), confirming hypothesis H5.

The results of the covariate relationship between community resilience and government trust indicate a significant association between the two. There is a positive relationship between community resilience and government trust, with a standardized coefficient of b = 0.71 (p < 0.001), highlighting the significant positive correlation between increased community resilience and higher levels of government trust. This underscores the important connection between community resilience and government trust.

Regarding demographic variables, males were found to be more anxious than females (b = 0.063, p < 0.001). Increasing age (b = −0.110, p < 0.001) significantly mitigated anxiety and had a positive impact on psychological well-being. Educational level (b = −0.036, p = 0.147), household registration (b = 0.022, p = 0.339), marital status (b = −0.018, p = 0.581), and income (b = 0.013, p = 0.604) had no significant impact on anxiety.

Discussion

During times of crises, individuals consistently endeavor to establish supportive connections with others. When self-reliant individuals become part of a collective entity, it substantially contributes to the accomplishment of objectives previously unattainable on an individual basis (13). Integration into social networks can aid an individual in avoiding adverse experiences, thereby augmenting the likelihood of psychological resilience (55), subsequently bolstering one’s psychological resilience. This assimilation into social networks progressively nurtures a communal sense of efficacy, laying the groundwork for an individual’s psychological flexibility and recovery (12). Social support encompasses emotional, informational, material, and cognitive facets, among others. These resources have the potential to fortify the resilience of both individuals and communities, enabling them to better cope with and adapt to stress and adversity (62). Our research demonstrates that individual resilience during COVID-19 is influenced by community resilience and government trust, thereby affecting individual psychological well-being.

Individual dimension – psychological resilience can alleviate anxiety

Psychological resilience acts as a safeguarding element for residents and augmenting psychological resilience can mitigate the adverse effects of anxiety. In times of peril, “fear and apprehension” are common manifestations among individuals navigating a state of existential risk. Concerned about their “ontological security,” individuals may grapple with “existential anxiety,” prompting them to either vacate the hazardous zone or mitigate harm (63). Psychological resilience is crucial for an individual’s ability to cope with various stressors and challenges, promoting overall adaptation and mental well-being (8, 10). This implies that individuals in adversity can overcome difficulties through their own efforts. Our findings also reinforce previous research conclusions that high psychological resilience fosters the development of positive cognitions about oneself, the world, and the future, reducing anxiety during COVID-19.

Community resilience – its impact on individual resilience and anxiety

The pressure-buffering hypothesis suggests that social support has a positive impact on individuals’ ability to resist risk during crises (54). Crises hold a dual significance for communities. When managed effectively, crises can activate advantages and exhibit a diminishing effect; conversely, mismanagement can lead to amplification within a disaster chain reaction (64). Communities, serving as buffers during crises, play two crucial roles in crisis periods. Firstly, they constitute the fundamental unit of governance, and their performance in emergency functions directly extends and supplements the government’s crisis management capabilities, underpinning the overall crisis management of society (65, 66). Researchers have also pointed out the role of communities in soft mobilization during crises. Public crisis management represents an extraordinary mode of governance, where the administrative and political mobilization methods effective in routine management may become less efficient. Effective self-mobilization within society can transmit government decisions and crisis-related knowledge to grassroots and individuals, aiding in dispelling panic induced by crises and enhancing societal and individual crisis resilience (67).

The construction of community resilience encompasses the accumulation of diverse social capital, which provides support to individuals during risks. The more social support individuals receive during risks, the stronger their psychological resilience against risks becomes. Our data results reveal that community resilience also acts as a ‘protective umbrella’ for individuals. Resilient communities develop their own resources in social, political, cultural, and psychological aspects to mitigate the impact of risks on the community (68). They may even utilize crises in reverse, strengthening their pre-existing resilience and perpetuating a self-enhancing environment for the community (31). Given that communities are on the frontline of risk, the construction of their resilience is particularly essential in supporting individuals. Individuals facing risks can seek external assistance through community social networks to acquire risk information and leverage community resources to enhance their adaptability to risks, thus reducing panic and anxiety arising from a lack of control or understanding of external circumstances.

Our results indicate a positive and significant relationship between community resilience and anxiety, with community resilience not mitigating anxiety through individual resilience. Previous research has often confirmed the positive relationship between community resilience and individual mental health, such as Zhang’s study (18), which found that community resilience alleviated mental health stress among the older adults by perceiving community preventive effects. Nevertheless, most studies have not directly demonstrated the relationship between community resilience and anxiety. Another study by Zhang (56) found that international students in Wuhan during the lockdown period were indirectly influenced by community resilience perception through community communication and support to alleviate anxiety, but community resilience perception did not have a direct effect on anxiety. Lee et al. (9) found that community resilience could enhance individual psychological resilience, but the relationship between community resilience and anxiety was not significant. Lyons et al. (51), through correlation analysis, identified a positive relationship between community resilience and higher psychological well-being but did not control for other variables using multiple regression. Williams and Merten’s research (41) revealed that increased community interactions among adolescents fostered their agency and significantly reduced depressive symptoms, but the direct impact of community interactions on anxiety symptoms was positively significant. Our results confirm the substantial effect of communities on individual resilience but do not alleviate anxiety. Given the multifactorial nature of anxiety, variables such as trust in the government and individual resilience play a significant role in mitigating anxiety. The SEM analysis clearly demonstrates the contributions of variables to anxiety relief, both indirectly and directly.

Government trust – its impact on individual resilience and anxiety

The conclusion reveals that government trust not only significantly positively influences individual psychological resilience but also plays a constructive role in alleviating anxiety. When individuals encounter difficulties, seeking assistance and collaborating with others can help them better cope with challenges and enhance their survival and recovery capabilities. In situations with a high level of external pressure controllability, individuals facing risks become more resilient in terms of risk tolerance and recovery capabilities. Trust is a key factor in individuals’ actions during risk, and higher levels of trust lead individuals to actively seek external support to gain greater pressure controllability. This sense of unity can be achieved through the establishment of trust and common goals, thereby assisting individuals and groups in coping with stress and challenges (12, 69).

Mutual trust and dependence between the government and residents are among the political characteristics of emergency management in China (70). Firstly, in China, disaster management power is largely concentrated in the hands of the central government, which plays a crucial role in disaster reduction, preparedness, and response. Secondly, under the influence of cultural factors related to legitimacy, residents’ trust in the government significantly influences their risk perception. This trust and confidence are primarily affected by the government’s ability and performance in crisis prevention and management. When the government is well-prepared, efficient, and responsive, citizens do not excessively worry about crises, and they are less critical of related crisis management decisions (30). Furthermore, local governments can provide necessary resources and support to enhance community disaster preparedness, response, and resilience. Community resilience built on the foundation of robust community resources is beneficial for community resistance to external crises and can serve as a “safe haven” for individuals during public crises.

In times of crisis impact, mutual trust, and a sense of solidarity among people play a crucial and positive role in subsequent disaster management (38). Good crisis governance by the government enhances citizens’ trust in the government during crises (47). When the public has trust in the government, they are more likely to accept the information and measures provided by the government, thereby reducing unnecessary panic and worry. Additionally, public trust in the government can also increase cooperation and coordination between the government and the public, enabling a better response to crises. These factors contribute to improving individual psychological resilience and alleviating anxiety. Previous research has pointed out the “unity effect,” (48) which is attributed to the belief that being part of a group can provide individuals with many benefits. As a member of a group, an individual can access social support and resources, thereby increasing their chances of survival and psychological recovery. Our research confirms this. Specifically, government trust is a protective factor for individuals. Enhanced trust in the government strengthens the impact of individual psychological resilience on mental health.

The mutual influence between community resilience and government trust

The construction of community resilience also requires support and efforts from various stakeholders, with many resources relying on local and central government provision for community rebuilding (15, 36, 52). Our findings underscore the close relationship between community resilience and government trust. Highly trusted communities often form bonds of mutual assistance, which can provide residents with robust emotional support and reduce their fear of risks (71). A resilient community, by definition, implies strong social support, a sense of trust, and robust stability and rebuilding capabilities. Residents coexisting in a public crisis within such a community can utilize the abundant social capital and social networks within the community to regulate their own anxiety in the face of unexpected situations, thereby enhancing their individual psychological resilience.

Limitations

The limitations of this study are as follows. Firstly, due to the convenience sampling method used in the study, the representativeness of the questionnaire survey participants was affected, limiting the generalizability of the conclusions. Secondly, the heterogeneity of communities has a significant impact on individuals residing within them, and community resilience is related to the type and characteristics of the community, which can clearly influence individuals living in the community. Whether this influence has structural characteristics is a variable that was not addressed in this study and therefore cannot be analyzed. Inequality in residence and its impact on individuals is a topic worthy of future attention.

Conclusion

In this study, the factors influencing individual anxiety in a major crisis were examined, and the research distinguished how evaluations at the individual, community, and government dimension interacted and affected mental health. The results indicate that in a super crisis, individual psychology is impacted on multiple dimensions. Not only does individual psychological resilience better cope with anxiety in the crisis, but support at the community and government dimensions also significantly affects individual psychology. For more vulnerable individuals in times of risk, enhanced trust, and sense of belonging among community members facilitate the effectiveness and quality of social support, thereby strengthening self-regulation and self-recovery capabilities at both the community and individual dimensions. Additionally, trust during risk contributes to the formation of cooperative behaviors, allowing individuals to mitigate the impact of risk and subsequently alleviate anxiety, enhancing psychological resilience. Our study reinforces this conclusion. Particularly in the context of China, government governance actions and public trust in the government are strong influencing factors on individuals’ psychology. Trust in the government during risk enhances individual psychological resilience, thus mitigating anxiety. This expands our understanding of the impact of community and government governance as external environmental factors on mental health in the context of major crises. Thirdly, the study employed SEM, which helped us to delineate the interrelationships among subjective variables and their contributions to the dependent variable.

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 humans were approved by Academic Ethics Committee of School of Politics Science and Public Administration, Guangxi Minzu University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

YHu: Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing. YHua: Data curation, Methodology, Writing – original draft, Investigation, Software. HZ: Data curation, Methodology, Writing – original draft, Conceptualization, Funding acquisition, Supervision, Writing – review & editing. MF: Conceptualization, Data curation, Methodology, Writing – review & editing. GC: Data curation, Software, Writing – review & editing.

Funding

The author (s) declare that no financial support was received for the research, authorship, and/or publication of this article.

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.

References

1. Beck, U. Risk society: Towards a new modernity, vol. 17. Ney York: Sage (1992).

Google Scholar

2. Lee, AM, Wong, JGWS, McAlonan, GM, Cheung, V, Cheung, C, Sham, PC, et al. Stress and psychological distress among SARS survivors 1 year after the outbreak. Can J Psychiatry. (2007) 52:233–40. doi: 10.1177/070674370705200405

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Liu, X, Kakade, M, Fuller, CJ, Fan, B, Fang, Y, Kong, J, et al. Depression after exposure to stressful events: lessons learned from the severe acute respiratory syndrome epidemic. Compr Psychiatry. (2012) 53:15–23. doi: 10.1016/j.comppsych.2011.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Badrfam, R, Qorbani, M, and Zandifar, A. Status of stigma on the health care workers related to COVID-19 at the first wave of the pandemic in Iran: a qualitative study. Front Psych. (2022) 13:1045683. doi: 10.3389/fpsyt.2022.1045683

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Brooks, SK, Webster, RK, Smith, LE, Woodland, L, Wessely, S, Greenberg, N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. (2020) 395:912–20. doi: 10.1016/S0140-6736(20)30460-8

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Ozamiz-Etxebarria, N, Dosil-Santamaria, M, Picaza-Gorrochategui, M, and Idoiaga-Mondragon, N. Stress, anxiety, and depression levels in the initial stage of the COVID-19 outbreak in a population sample in the northern Spain. Cad Saude Publica. (2020) 36:e00054020. doi: 10.1590/0102-311X00054020

PubMed Abstract | CrossRef Full Text | Google Scholar

7. van Bortel, T, Basnayake, A, Wurie, F, Jambai, M, Koroma, AS, Muana, AT, et al. Psychosocial effects of an Ebola outbreak at individual, community and international dimensions. Bull World Health Organ. (2016) 94:210–4. doi: 10.2471/blt.15.158543

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Mak, WW, Ng, IS, and Wong, CC. Resilience: enhancing well-being through the positive cognitive triad. J Couns Psychol. (2011) 58:610–7. doi: 10.1037/a0025195

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Lee, J, Blackmon, BJ, Cochran, DM, Kar, B, Rehner, TA, and Gunnell, MS. Community resilience, psychological resilience, and depressive symptoms: an examination of the Mississippi gulf coast 10 years after hurricane Katrina and 5 years after the Deepwater horizon oil spill. Disaster Med Public Health Prep. (2018) 12:241–8. doi: 10.1017/dmp.2017.61

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Klohnen, EC. Conceptual analysis and measurement of the construct of ego-resiliency. J Pers Soc Psychol. (1996) 70:1067–79. doi: 10.1037/0022-3514.70.5.1067

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Bucens, V. Invitation to terror—The expanding empire of the unknown. Ethnopolitics. (2008) 7:486–488. doi: 10.1080/17449050802611051

CrossRef Full Text | Google Scholar

12. Williams, R, and Drury, J. Psychosocial resilience and its influence on managing mass emergencies and disasters. Psychiatry. (2009) 8:293–6. doi: 10.1016/j.mppsy.2009.04.019

CrossRef Full Text | Google Scholar

13. Kaniasty, K, and Norris, FH. In search of altruistic community: patterns of social support mobilization following hurricane Hugo. Am J Community Psychol. (1995) 23:447–77. doi: 10.1007/BF02506964

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Cheung, CK, and Tse, JWL. Institutional trust as a determinant of anxiety during the SARS crisis in Hong Kong. Soc Work Public Health. (2008) 23:41–54. doi: 10.1080/19371910802053224

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Norris, FH, Stevens, SP, Pfefferbaum, B, Wyche, KF, and Pfefferbaum, RL. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. Am J Community Psychol. (2008) 41:127–50. doi: 10.1007/s10464-007-9156-6

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Huang, Y, Wong, H, and Fu, Y. Resilience and depression among the survivors of the 2013 Yaan earthquake. J Soc Work. (2020) 20:817–33. doi: 10.1177/1468017319852593

CrossRef Full Text | Google Scholar

17. Kimhi, S, Eshel, Y, and Bonanno, GA. Resilience protective and risk factors as prospective predictors of depression and anxiety symptoms following intensive terror attacks in Israel. Personal Individ Differ. (2020) 159:109864. doi: 10.1016/j.paid.2020.109864

CrossRef Full Text | Google Scholar

18. Zhang, J, Wang, Y, and Zhou, M. Community resilience and psychological distress in Chinese older adults amid COVID-19: the roles of perceived community prevention effectiveness and risk perception. Aging Ment Health. (2022) 26:1426–35. doi: 10.1080/13607863.2021.1935458

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Scovel, T. The effect of affect on foreign language learning: a review of the anxiety research. Lang Learn. (1978) 28:129–42. doi: 10.1111/j.1467-1770.1978.tb00309.x

CrossRef Full Text | Google Scholar

20. Wu, KK, Chan, SK, and Ma, TM. Posttraumatic stress, anxiety, and depression in survivors of severe acute respiratory syndrome (SARS). J Traumatic Stress: Official Pub Int Society for Traumatic Stress Stud. (2005) 18:39–42. doi: 10.1002/jts.20004

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Moldofsky, H, and Patcai, J. Chronic widespread musculoskeletal pain, fatigue, depression and disordered sleep in chronic post-SARS syndrome; a case-controlled study. BMC Neurol. (2011) 11:1–7. doi: 10.1186/1471-2377-11-37

PubMed Abstract | CrossRef Full Text | Google Scholar

22. White, B, Driver, S, and Warren, AM. Considering resilience in the rehabilitation of people with traumatic disabilities. Rehabil Psychol. (2008) 53:9–17. doi: 10.1037/0090-5550.53.1.9

CrossRef Full Text | Google Scholar

23. Beasley, M, Thompson, T, and Davidson, J. Resilience in response to life stress: the effects of coping style and cognitive hardiness. Personal Individ Differ. (2003) 34:77–95. doi: 10.1016/S0191-8869(02)00027-2

CrossRef Full Text | Google Scholar

24. Wang, J. A study of resiliency characteristics in the adjustment of international graduate students at American universities. J Stud Int Educ. (2009) 13:22–45. doi: 10.1177/1028315307308139

CrossRef Full Text | Google Scholar

25. Sun, D, Yu, R, Lv, L, and Liao, C. Anxiety and its impact on college students in the context of major sudden epidemic crisis: protective and influential factors. J Southwest Normal University (Natural Science Edition). (2021) 10:121–8. doi: 10.13718/j.cnki.xsxb.2021.10.018

CrossRef Full Text | Google Scholar

26. Rutter, M. Psychosocial resilience and protective mechanisms. Am J Orthopsychiatry. (1987) 57:316–31. doi: 10.1111/j.1939-0025.1987.tb03541.x

CrossRef Full Text | Google Scholar

27. Newman, R. APA's resilience initiative. Prof Psychol Res Pract. (2005) 36:227–9. doi: 10.1037/0735-7028.36.3.227

CrossRef Full Text | Google Scholar

28. Masten, AS, Best, KM, and Garmezy, N. Resilience and development: contributions from the study of children who overcome adversity. Dev Psychopathol. (1990) 2:425–44. doi: 10.1017/S0954579400005812

CrossRef Full Text | Google Scholar

29. Osofsky, HJ, Osofsky, JD, and Hansel, TC. Deepwater horizon oil spill: mental health effects on residents in heavily affected areas. Disaster Med Public Health Prep. (2011) 5:280–6. doi: 10.1001/dmp.2011.85

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ma, L, and Christensen, T. Government trust, social trust, and citizens’ risk concerns: evidence from crisis management in China. Public Perform Manag Rev. (2019) 42:383–404. doi: 10.1080/15309576.2018.1464478

CrossRef Full Text | Google Scholar

31. Magis, K. Community resilience: an indicator of social sustainability. Soc Nat Resour. (2010) 23:401–16. doi: 10.1080/08941920903305674

CrossRef Full Text | Google Scholar

32. Geis, DE. By design: the disaster resistant and quality-of-life community. Natural Hazards Rev. (2000) 1:151–60. doi: 10.1061/(ASCE)1527-6988(2000)1:3(151)

CrossRef Full Text | Google Scholar

33. Paton, D, and Johnston, D. Disasters and communities: vulnerability, resilience, and preparedness. Disaster Prevent Manag: Int J. (2001) 10:270–7. doi: 10.1108/EUM0000000005930

CrossRef Full Text | Google Scholar

34. Chandra, A, Acosta, J, and Meredith, LS. Understanding Community Resilience in the Context of National Health Security: A Literature Review. CA: RAND Corporation (2010).

Google Scholar

35. Cutter, SL, Barnes, L, Berry, M, Burton, C, Evans, E, Tate, E, et al. A place-based model for understanding community resilience to natural disasters. Glob Environ Chang. (2008) 18:598–606. doi: 10.1016/j.gloenvcha.2008.07.013

CrossRef Full Text | Google Scholar

36. Bruneau, M, Chang, SE, Eguchi, RT, Lee, GC, O'Rourke, TD, Reinhorn, AM, et al. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthq Spectra. (2003) 19:733–52. doi: 10.1193/1.1623497

CrossRef Full Text | Google Scholar

37. Vinkers, CH, van Amelsvoort, T, Bisson, JI, Branchi, I, Cryan, JF, Domschke, K, et al. Stress resilience during the coronavirus pandemic. Eur Neuropsychopharmacol. (2020) 35:12–6. doi: 10.1016/j.euroneuro.2020.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Babcicky, P, and Seebauer, S. Collective efficacy and natural hazards: differing roles of social cohesion and task-specific efficacy in shaping risk and coping beliefs. J Risk Res. (2020) 23:695–712. doi: 10.1080/13669877.2019.1628096

CrossRef Full Text | Google Scholar

39. Patel, SS, Rogers, MB, Amlôt, R, and Rubin, GJ. What do we mean by'community resilience'? A systematic literature review of how it is defined in the literature. PLoS currents. (2017) 9:9. doi: 10.1371/currents.dis.db775aff25efc5ac4f0660ad9c9f7db2

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Braun-Lewensohn, O, and Sagy, S. Community resilience and sense of coherence as protective factors in explaining stress reactions: comparing cities and rural communities during missiles attacks. Community Ment Health J. (2014) 50:229–34. doi: 10.1007/s10597-013-9623-5

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Williams, AL, and Merten, MJ. Linking community, parenting, and depressive symptom trajectories: testing resilience models of adolescent agency based on race/ethnicity and gender. J Youth Adolesc. (2014) 43:1563–75. doi: 10.1007/s10964-014-0141-8

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Grimmelikhuijsen, S, Jilke, S, Olsen, AL, and Tummers, L. Behavioral public administration: combining insights from public administration and psychology. Public Adm Rev. (2017) 77:45–56. doi: 10.1111/puar.12609

CrossRef Full Text | Google Scholar

43. Zhang, S, Song, Y, and Zhong, S. Dual-process mechanisms of government trust repair from the perspective of behavioral public administration. J Shanghai University: Social Sci Edition. (2020) 37:15. doi: 10.3969/j.issn1007-6522.2020.06.001

CrossRef Full Text | Google Scholar

44. Zhang, H, Zhang, Q, and Lu, Q. Exploring government satisfaction and citizen expectation management: a case study in the Wenchuan earthquake disaster area. Contemporary World and Socialism. (2008) 6:6.

Google Scholar

45. Seebauer, S, and Babcicky, P. Trust and the communication of flood risks: comparing the roles of local governments, volunteers in emergency services, and neighbours. J Flood Risk Manag. (2018) 11:305–16. doi: 10.1111/jfr3.12313

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Bichard, E, and Kazmierczak, A. Are homeowners willing to adapt to and mitigate the effects of climate change? Clim Change. (2012) 112:633–54. doi: 10.1007/s10584-011-0257-8

CrossRef Full Text | Google Scholar

47. Fang, M, and Zhang, H. How can crisis intervention repair government trust?-the moderating effect of risk communication and community support. J Pub Admin. (2021) 14:4–23.

Google Scholar

48. Toya, H, and Skidmore, M. Do natural disasters enhance societal trust? Kyklos. (2014) 67:255–79. doi: 10.1111/kykl.12053

CrossRef Full Text | Google Scholar

49. Berkman, LF. Social epidemiology: social determinants of health in the United States: are we losing ground? Annu Rev Public Health. (2009) 30:27–41. doi: 10.1146/annurev.publhealth.031308.100310

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Berkes, F, and Ross, H. Community resilience: toward an integrated approach. Soc Nat Resour. (2013) 26:5–20. doi: 10.1080/08941920.2012.736605

CrossRef Full Text | Google Scholar

51. Lyons, A, Fletcher, G, and Bariola, E. Assessing the well-being benefits of belonging to resilient groups and communities: development and testing of the Fletcher-Lyons collective resilience scale (FLCRS). Group Dyn Theory Res Pract. (2016) 20:65–77. doi: 10.1037/gdn0000041

CrossRef Full Text | Google Scholar

52. Berkes, F, and Seixas, CS. Building resilience in lagoon social–ecological systems: a local-level perspective. Ecosystems. (2005) 8:967–74. doi: 10.1007/s10021-005-0140-4

CrossRef Full Text | Google Scholar

53. Na, L, Yang, L, Mezo, PG, and Liu, R. Age disparities in mental health during the COVID19 pandemic: the roles of resilience and coping. Soc Sci Med. (2022) 305:115031. doi: 10.1016/j.socscimed.2022.115031

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Boyraz, G, Legros, DN, and Tigershtrom, A. COVID-19 and traumatic stress: the role of perceived vulnerability, COVID-19-related worries, and social isolation. J Anxiety Disord. (2020) 76:102307. doi: 10.1016/j.janxdis.2020.102307

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Cohen, S, and Wills, TA. Stress, social support, and the buffering hypothesis. Psychol Bull. (1985) 98:310–57. doi: 10.1037/0033-2909.98.2.310

CrossRef Full Text | Google Scholar

56. Zhang, X, English, AS, Li, X, Yang, Y, Stanciu, A, and Shuang, W. International students’ collective resilience in crisis: sense of community reduced anxiety via social contact and social support during lockdown. Heliyon. (2023) 9:e15298. doi: 10.1016/j.heliyon.2023.e15298

CrossRef Full Text | Google Scholar

57. Mayer, RC, Davis, JH, and Schoorman, FD. An integrative model of organizational trust. Acad Manage Rev. (1995) 20:709–34. doi: 10.5465/amr.1995.9508080335

CrossRef Full Text | Google Scholar

58. Zhang, J, Wang, Y, Zhou, M, and Ke, J. Community resilience and anxiety among Chinese older adults during COVID-19: the moderating role of trust in local government. J Community Appl Soc Psychol. (2022) 32:411–22. doi: 10.1002/casp.2563

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Rubin, GJ, Amlôt, R, Page, L, and Wessely, S. Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: cross sectional telephone survey. BMJ. (2009) 339:b2651. doi: 10.1136/bmj.b2651

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Cohen, O, Leykin, D, Lahad, M, Goldberg, A, and Aharonson-Daniel, L. The conjoint community resiliency assessment measure as a baseline for profiling and predicting community resilience for emergencies. Technol Forecast Soc Chang. (2013) 80:1732–41. doi: 10.1016/j.techfore.2012.12.009

CrossRef Full Text | Google Scholar

61. Terry, LD. Trustworthy government: leadership and management strategies for building trust and high performance. Public Adm Rev. (1997) 90:420–59. doi: 10.2307/2082914

CrossRef Full Text | Google Scholar

62. Pfefferbaum, RL, Pfefferbaum, B, Van Horn, RL, Klomp, RW, Norris, FH, and Reissman, DB. The communities advancing resilience toolkit (CART). J Public Health Manag Pract. (2013) 19:250–8. doi: 10.1097/phh.0b013e318268aed8

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Tian, G. The dual impact of risk society environment on contemporary individual survival: an interpretation of Giddens and Beck's risk society theories. Philosop Res. (2007) 6:113–7.

Google Scholar

64. Dong, RH. On the fundamental role of communities in disaster crisis emergency management. Theoretical Front. (2004) 10:2.

Google Scholar

65. Wang, W. The application of the state-society analytical framework in research on changes in community governance structures. Jiangsu. Soc Sci. (2009) 4:106–12. doi: 10.3969/j.issn.1003-8671.2009.04.017

CrossRef Full Text | Google Scholar

66. Min, J, and Hua, X. Community emergency preparedness in the perspective of public crisis governance. Xué Hǎi. (2011) 4:7. doi: 10.3969/j.issn.1001-9790.2011.04.017

CrossRef Full Text | Google Scholar

67. Long, TJ. From "mobilizing society" to "mobilized by society": mobilization issues in crisis management. Politics and Law. (2005) 2:9.

Google Scholar

68. Davis, R, Cook, D, and Cohen, L. A community resilience approach to reducing ethnic and racial disparities in health. Am J Public Health. (2005) 95:2168–73. doi: 10.2105/AJPH.2004.050146

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Jain, L, Bhivandkar, S, Baqir, H, Shoib, S, Nimavat, N, Mohan, A, et al. Beyond physical health: the role of psychosocial challenges and stigma in tackling the COVID-19 pandemic—a scoping review. Front Psych. (2023) 14:14. doi: 10.3389/fpsyt.2023.1180252

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Han, Z, Lu, X, Hörhager, EI, and Yan, J. The effects of trust in government on earthquake survivors’ risk perception and preparedness in China. Nat Hazards. (2017) 86:437–52. doi: 10.1007/s11069-016-2699-9

CrossRef Full Text | Google Scholar

71. Xue, K, Guo, S, Liu, Y, Liu, S, and Xu, D. Social networks, trust, and disaster-risk perceptions of rural residents in a multi-disaster environment: evidence from Sichuan, China. Int J Environ Res Public Health. (2021) 18:2106. doi: 10.3390/ijerph18042106

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: COVID-19, anxiety, psychological resilience, community resilience, government trust, mental well-being

Citation: Hu Y, Huang Y, Zhang H, Fang M and Chen G (2023) Insights from China: understanding the impact of community resilience and government trust in psychological resilience and anxiety during COVID-19. Front. Public Health. 11:1298269. doi: 10.3389/fpubh.2023.1298269

Received: 21 September 2023; Accepted: 10 November 2023;
Published: 28 November 2023.

Edited by:

Mohammadreza Shalbafan, Iran University of Medical Sciences, Iran

Reviewed by:

Funda İpekten, Adiyaman University, Türkiye
Saba Khurshid, National University of Medical Sciences (NUMS), Pakistan
Yajun Song, East China University of Science and Technology, China

Copyright © 2023 Hu, Huang, Zhang, Fang and Chen. 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: Hua Zhang, 20040018@gxmzu.edu.cn

Disclaimer: 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.