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ORIGINAL RESEARCH article

Front. Psychol., 18 April 2024
Sec. Health Psychology

The effect of event impact on fear of missing out: the chain mediation effect of coping styles and anxiety

\r\nBofeng He,,Bofeng He1,2,3Zhenjing Tan,Zhenjing Tan4,5Kaiying LaiKaiying Lai6Boyu Qiu
Boyu Qiu3*Suiping Wang,
Suiping Wang1,2*
  • 1Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
  • 2School of Psychology, South China Normal University, Guangzhou, China
  • 3School of Health Management, Guangzhou Medical University, Guangzhou, China
  • 4School of Education, South China Normal University, Guangzhou, China
  • 5School of Public Health, Guangdong Medical University, Dongguan, China
  • 6Guangzhou Institute of Educational Research, Guangzhou, China

The fear of missing out is a generalized anxiety stemming from the possibility of not being present at new events or advantageous situations of others. To explore potential mechanisms, a survey measuring the impact of event, coping style, anxiety, and fear of missing out was conducted with 1,014 college students (367 males and 647 females, aged 19–24 years). In addition, the study delved deeper into the dimensions of intrusion, avoidance, and hyperarousal concerning the impact of event, examining their roles in coping style, anxiety, and fear of missing out. Results showed that: (1) The impact of event could predict the fear of missing out positively. (2) A more positive coping style is negatively associated with anxiety. (3) A chain mediation effect of coping style and anxiety is observed in the path from hyperarousal and avoidance to the fear of missing out. (4) In contrast to the hyperarousal or avoidance, the path from intrusion to the fear of missing out is mediated by anxiety but not coping style. These findings motivate us to implement different intervention tactics for varying impacts of events.

1 Introduction

The contemporary world has seen a tremendous surge in the availability of information, thanks to the rapid progress in communication technologies. These technologies enable us to stay connected and informed about current developments and occurrences at all times and from any location. However, the ease of access to information also presents challenges, such as the fear of missing out on something beneficial, an investment opportunity, or the fear of peers out performing oneself. Such apprehensions result in anxiety. Researchers refer to this psychological feeling as the fear of missing out (FoMO). The FoMO is defined as a form of anxiety stemming from the fear of missing out on novel experiences or events advantageous to others (Przybylski et al., 2013). People are susceptible to experiencing the FoMO when they feel anxious about missing out on advantageous investment opportunities while stock market indices are on the rise. Additionally, they may experience the FoMO when they want to stay constantly updated on the people and events around them during significant occurrences. FoMO is not a minority experience. A study conducted by a Chinese organization revealed that 15.2% of participants reported experiencing a severe FoMO (Wen, 2016). Notably, men tend to experience this fear more strongly than women (Przybylski et al., 2013).

As a new psychological state that has emerged alongside technological developments, numerous researchers have explore phenomenon of FoMO. The FoMO has been found to be associated with unfavorable psychological experiences and problematic behaviors (Swan and Kendall, 2016; Zou et al., 2018; Reer et al., 2019; Elhai et al., 2021). Individuals who experience the FoMO may also experience emotional problems such as anxiety and depression (Beyens et al., 2016; Swan and Kendall, 2016; Oberst et al., 2017; Dhir et al., 2018). They tend to stay constantly connected to the outside world to reduce anxiety, typically resulting in prolonged and frequent use of social media. This often leads to problematic use of social media (Beyens et al., 2016; Casale et al., 2018; Franchina et al., 2018; Reer et al., 2019; Balta et al., 2020; Elhai et al., 2020a,b; Duman and Ozkara, 2021; Guazzini et al., 2022). Driven by their desire to stay connected and avoid missing any information, individuals suffering from the FoMO may even use their phones while driving (Przybylski et al., 2013) or developing alcoholism (Riordan et al., 2015; Abri, 2017).

While it is widely acknowledged that a strong association exists between the fear of missing out and negative psychological and problematic behaviors. a conclusive relationship between these variables has not been established conclusively (Akbari et al., 2021). Most current research has primarily focused on the psychological and behavioral problems arising from the FoMO (Riordan et al., 2015; Swan and Kendall, 2016; Franchina et al., 2018; Xie et al., 2018; Elhai et al., 2020a; Fitzgerald et al., 2023). However, the causes of FoMO remain unclear, and further investigation is necessary to explore its potential mechanisms.

1.1 Impact of event and FoMO

The FoMO is influenced by various factors including personality traits, psychological needs, and life events (Przybylski et al., 2013; Blackwell et al., 2017). In addition to these individual idiosyncratic factors, an important exogenous factor is the impact of event (Turkle, 2011). Impact of event refer to life events that affect one's mental health and have negative consequences (Brown et al., 1973). Individuals are affected to varying degrees by events in their lives on the dimensions of intrusion, avoidance, and hyperarousal (Zilberg et al., 1982; Wu and Chan, 2003; Motlagh, 2010). The intrusive factor refers to an individual experiencing recurring and intrusive memories, such as nightmares, after being affected by an event. This can negatively impact the individual unconsciously or cognitively. Meanwhile, avoidance behavior occurs when an individual adopts strategies to steer clear of events, emotions, or memories associated with the event, such as avoiding people, places, or media content. Following a traumatic event, individuals may also experience hyperarousal, which is characterized by heightened physiological and psychological states. Symptoms may include irritability, increased alertness, insomnia, and heightened sensitivity to stimuli related to the event.

Research has considered impact of event as a holistic entity, arguing that it can lead to mental health issues such as depression and anxiety (Flory and Yehuda, 2015; Geng et al., 2019). Sudden impact of event may significantly affect an individual's mental and physical health, resulting in exhaustion and potential mental health issues (Lazarus and Opton, 1966). These events, such as failing exams, interpersonal relationship problems, or major social events, can result in physical and mental problems, negative emotions like insomnia, anxiety, depression, and, in severe cases, suicidal behavior for a college student. Furthermore, studies have examined the impact of event on individual mental health from three distinct dimensions. For instance, a study of 357 college students who experienced the impact of event. The findings indicate that impact of event significantly predict suicidal ideation solely on the dimension of higharousal (Briere et al., 2015). Another study, which focused on Vietnam War veterans, revealed that only intrusion significantly predicts suicidal ideation (Bell and Nye, 2007). Therefore, segmenting event impact into distinct dimensions will aid in our deeper understanding of the underlining mechanism.

Studies have shown that the impact of event was linked to FoMO. The impact of event can cause stress, mood swings, and other emotional issues (Barlow, 2000; Garnefski et al., 2001; Hughes and Shin, 2011). To alleviate these emotions, individuals may turn to the Internet or social media frequently for a long time, which in turn increase the level of FoMO (Farahani et al., 2011; Billieux et al., 2015; Buglass et al., 2017). A study on people's mental health levels during the COVID-2019 pandemic also found that when the major event of COVID-2019 occurred, people were more likely to suffer from FoMO due to anxiety that they would miss out on information related to the pandemic (Casale and Flett, 2020; Koban et al., 2022).

FoMO can be considered a reflection of deficient self-regulation (Przybylski et al., 2013). Self-regulation theory is a process that involves the interaction of three processes: personal, behavioral, and environmental (Bandura and Cervone, 1986). It is a systematic approach by which individuals direct their cognitions, emotions, and behaviors toward achieving their goals (Zimmerman, 2000). During the process of self-regulation, individuals plan and cyclically adapt their self-generated thoughts, feelings, and actions to achieve personal goals. However, when faced with an impact of event, the cyclical adaptive process of self-regulation is disrupted, resulting in significant cognitive, affective, and behavioral stress. The defensive response described can be referred to as an ego-barrier strategy. This strategy is intended to protect the self, but ultimately it can restrict the individual's growth and impede their development (Pintrich et al., 2012).

Individuals who experience impaired self-regulation may be in a state of diffuse anxiety at the affective level. At the cognitive level, there is a need to reevaluate the event, leading to a constant follow-up on related information. At the behavioral level, this is often accompanied by maladaptive social media use in order to stay informed and avoid missing out on information. Therefore, the impact of event can lead to the development of FoMO. From this theoretical perspective, FoMO can be understood as a hindrance to self-regulation caused by situational or chronic unsatisfied psychological needs (Przybylski et al., 2013). Studies from sports, education and games have found that the satisfaction of basic needs is closely linked to proactive behavioral regulation (Ryan et al., 2000; Przybylski et al., 2009).

From the perspective of impaired self-regulation, the path from impact of event to FoMO occurs in the form of emotionally, cognitively, and behaviorally impeded regulation. Emotionally, both regulatory stress and regulatory failure bring about emotional problems and anxiety. Cognitively and behaviorally, cognitive appraisal and behavioral regulation adjust coping strategies and goals, which may lead to poor coping style when individuals are unable to cope with appropriate cognitive strategies and actions. Therefore, there may be two mediating mechanisms in the path from impact of event to FoMO: (1) Maladaptive coping style due to impaired regulation following life event shocks, which subsequently triggers FoMO; and (2) Emotional problems arise following impact of event due to impaired emotional regulation, which then triggers generalized anxiety, leading to FoMO.

1.2 Mediation effect of coping style in the path from impact of event to FoMO

An individual's interaction with the environment may result in a burden, and the cognitive and behavioral efforts taken to alleviate this burden by making conscious, purposeful, and flexible adjustments are coping style (Lazarus, 1974; Joffe and Bast, 1978). Based on the attributes of coping style, they can be categorized into positive and negative coping styles (Xie, 1998). For example, when faced with difficulties and stress, individuals may choose to cope with positive coping styles such as changing their thoughts and talking to people to confide in them about their troubles, or they may choose to cope with negative coping styles such as trying to forget about things through smoking and drinking, excessive use of social media, and passive waiting for things to get worse.

Several studies have pointed out that coping style play a mediating role in the path from the impact of event to negative psychological experiences (Wolfradt et al., 2003; Kasi et al., 2012; Mahmoud et al., 2012; Roohafza et al., 2014). Additionally, some studies have argued for a positive association between the impact of event and coping style (Cao and Si, 2010). When individuals cope with negative life events negatively, it exacerbates their negative emotions (Tu and Guo, 2011).

In terms of theoretical foundations, the coping process model proposed by Lazarus suggests that the coping of a life event goes through two processes: cognitive assessment and coping behavior (Lazarus and Folkman, 1984). When a life event strikes, the individual first assesses the event and then chooses a strategy to cope based on the resources he or she possesses. Therefore, the situational nature of the life event and the individual's cognitive base will affect the choice of the coping style. And the impact of event can also bring challenges to the self-regulatory system. When a life event suddenly brings an impact that exerts pressure on an individual's external environment, the cognitive system needs to seek coordination between the internal and external environments in order to cope with the event. When the regulatory system is overstressed by the impact of event, it can lead to negative coping style.

Likewise, when individuals face impact of event, they tend to stay in touch with the outside world and gather as much relevant information as possible through prolonged and frequent use of internet applications such as social media (Bright and Logan, 2018; Fang et al., 2020; Deniz, 2021). Individuals hope to fulfill their need to stay connected to the outside world in this way to alleviate their anxiety, and at the same time, they will often fear that they will not be able to consistently keep up with people and events in the outside world and feel worried and anxious (Franchina et al., 2018; Elhai et al., 2020b). This misuse of social media is a kind of negative coping style, so it can be inferred that a negative coping style at the impact of event leads to FoMO. It was also noted above that the impact of event can lead to negative coping style, therefore, there is ample empirical and theoretical evidence that the coping style has a mediating role in the path from the impact of event to FoMO.

1.3 Mediation effect of anxiety in the path from impact of event to FoMO

Anxiety is a negative emotion that individuals experience as a result of perceiving or anticipating a threat, an undesirable consequence, and usually manifests itself as inner distress, apprehension, and restlessness (Bell and Sciacca, 2020). This emotion is often accompanied by increased activity of the autonomic nervous system, such as the presence of a rapid heartbeat, deepened breathing, sweating, muscle tension, and other physiological responses (Barlow, 2000; Etkin and Wager, 2007). Anxiety may affect an individual's mood, thinking, and behaviors, and severe anxiety disorders can affect the quality of life. According to epidemiological studies, anxiety disorders have a worldwide prevalence ranging from 5% to 10% worldwide (Kessler et al., 2007).

The relationship between impact of event and anxiety has been examined. It has been noted that after major life events such as natural disasters, adolescents are prone to anxiety problems such as fear, tension, and somatization (Reijneveld et al., 2003; Groome and Soureti, 2004; Kar and Bastia, 2006). According to the susceptibility-stress model of anxiety, anxiety arises when internal factors (e.g., personality) and external environmental factors (e.g., impact of event) activate potential susceptibility factors, catalyzing the development of anxiety (Barlow, 2000; Mathews and MacLeod, 2005; Tang et al., 2008).

The impact of event can trigger anxiety, which in turn can contribute to the FoMO. Conceptually, FoMO is conceptually defined as being a diffuse form of anxiety and is even considered a subcategory of anxiety (Przybylski et al., 2013; Huan You et al., 2018). Individuals who suffer from FoMO experience diffuse anxiety due to the fear of missing meaningful experiences of others. They have a strong expectation of consistently paying attention and following up on what others are doing and are concerned about missing out on novel experiences that others have. Apart from studies that have linked FoMO to anxiety, little attention has been paid to the path from anxiety to FoMO. Anxiety itself may lead to a more serious FoMO. FoMO is the fear of regret, which arises from an individual's generalized worry and anxiety about missing out on a social interaction, anxiety is the main factor that triggers the FoMO. Thus, it can be assumed that anxiety has a mediating role in the pathway from impact of event to the FoMO.

1.4 Chain mediating role of coping style and anxiety

Maladaptive coping styles may further exacerbate anxiety. It has been suggested that positive coping styles are protective factors for anxiety, whereas negative coping styles, such as avoidance, are risk factors for anxiety. Previous studies have shown that negative coping styles are positively correlated with anxiety levels (Kozora et al., 2005; Murberg and Bru, 2005; Lewis et al., 2012; Roohafza et al., 2014). In a study of coping styles and anxiety in college students, it was found that negative coping styles were a major predictor of anxiety (Mahmoud et al., 2012). Anxiety is a state caused by an individual's perception of and reaction to stressful events, which is not only affected by impact of event but also by coping style (Beck and Clark, 1997). Therefore, it can be hypothesized that there may be a chain-mediated relationship between coping style and anxiety in the path from impact of event to FoMO.

1.5 Aims

In summary, college students may face challenges such as failed exams and strained relationships in both their studies and personal lives. If these challenges are not addressed rationally, negative emotions such as anxiety may arise. Additionally, students are often heavily involved in social media and mobile phone networks, which can contribute to FoMO. Therefore, this study examines the relationship between impact of event, coping style, anxiety, and FoMO. The analysis focuses on the impact of event on FoMO and coping style, as well as anxiety. Three dimensions of an event impact will be discussed in separate models.

1.6 Hypothesis of the current study

Based on the above arguments, the current study suggests that the impact of event affected FoMO through the chain mediation effect of coping style and anxiety. Therefore, the following research hypothesis is proposed (see Figure 1 for the full illustration of the full model): H1: Impact of event can positively predict FoMO. H2: Coping style mediates the path from impact of event to FoMO. H3: Anxiety mediates the path from impact of event to FoMO. H4: Coping style negatively predict anxiety.

Figure 1
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Figure 1. Full proposed model for the mediating role of coping style and anxiety on the association between impact of event and the fear of missing out. The full proposed model included: (A) The direct effect from impact of event to fear of missing out; (B) The mediating role of coping style in the path from impact of event to fear of missing out; (C) The mediating role of anxiety in the path from impact of event to fear of missing out; and (D) The path from coping style to anxiety.

2 Method

2.1 Participants and procedure

Participants were selected based on the criteria of being college students aged 19–24 in Guangdong Province, excluding those with known cognitive impairments or psychiatric disorders. A total of 1143 questionnaires were collected, the questionnaire was considered invalid if more than 3 questions were omitted or if the same option was selected more than 20 times in a row. Based on this screening criterion, 129 samples were excluded from the analyses. The final sample consisted of 1,014 valid questionnaires, including 367 male students (36.19%) and 647 female students (63.81%), with a mean age of 20.35 years (SD = 1.15, range: 19–24 years). The sample consisted mainly of university grade 1 (n = 410, 35.12% male, mean age:19.24 ± 0.44years, range: 19-21years), grade 2 (n = 238, 35.29% male, mean age: 20.57 ± 0.82 years, range: 19–23 year) and grade 3 (n = 366, 37.97% male, mean age: 21.47 ± 0.61years, range: 21–24 year) students (see Table 1). The study received approval from the Research Ethics Committee of Guangzhou Medical University(permission number: 202310002). Informed consent forms, detailing the study's purpose, the voluntary basis of participation, and the commitment to data privacy, were provided to both the students and their parents. Participation in the study was contingent upon receiving signed consent from the student. Those who consented were then guided to complete the questionnaires in a supervised setting within their schools.

Table 1
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Table 1. Demographic information.

2.2 Measures

2.2.1 Impact of event

Impact of event was measured by the Chinese version (Guo et al., 2007) of the Impact of Event Scale-Revised (IES-R). Three dimensions including avoidance (e.g., “I tried to remove it from my memory.”), intrusion (e.g., “I found myself acting or feeling like I was back at that time.”), and hyperarousal (e.g. “I had trouble concentrating.”) were included in the scale. Respondents were asked to rate 22 items (8 items for avoidance, 8 items for intrusion, and 6 items for hyperarousal) on a five-point Likert scale from 1 (Not at all) to 5 (Extremely). The total score for each dimension was calculated to create composite scores for avoidance impact of event, intrusion impact of event, and hyperarousal impact of event separately. Higher scores always represent higher levels of the impact of event. In this study, the Cronbach's alpha coefficient of the IES-R was 0.933 (0.837 for avoidance subscale, 0.878 for intrusion subscale, and 0.804 for hyperarousal subscale).

2.2.2 Coping style

Coping style was measured by the Simplified Coping Style Questionnaire (SCSQ) (Xie, 1998). The SCSQ comprises 20 items, assessing participants' positive coping style (12 items, e.g., “I will try to see the good side of things.”) and negative coping style (8 items, e.g., “I will smoke, drink, take drugs and eat too much to relieve my worries.”). Respondents were asked to rate each item on a four-point Likert scale from 1 (Not using this strategy) to 4 (This strategy is often used). The total score of the positive coping style subscale was subtracted from the total score of the negative coping style subscale to obtain a composite score of coping style, with larger composite scores indicating a greater tendency for individuals to use positive coping styles. The Cronbach's alpha coefficient for the scale in this study was 0.865 (0.865 for positive coping style subscale and 0.721 for negative coping style subscale).

2.2.3 Anxiety

The Chinese version of the anxiety subscale from the Symptom Checklist-90 (SCL-90) (Derogatis et al., 1976). was used in the current study. This subscale comprises 10 items, with examples such as “Suddenly scared for no reason” and “Spells of terror or panic.” Each item was rated on a five-point Likert scale from 1 (Not at all) to 5 (Extremely). The total score across all items were calculated, with higher scores indicating higher levels of anxiety. In the present study, the Cronbach's alpha coefficient for the anxiety subscale from SCL-90 was 0.882.

2.2.4 Fear of missing out

The Fear of Missing Out Scale (Przybylski et al., 2013) was used to access the pervasive apprehension that others might be having rewarding experiences from which one is absent. Respondents were requested to rate 10 items on a five-point scale from 1 (Not at all true of me) to 5 (Extremely true of me). Examples include “I fear others have more rewarding experiences than me” and “I get anxious when I don't know what my friends are up to.” The scores were summed, with a larger score indicating more fear of missing out. The Cronbach's alpha coefficient of the Fear of Missing Out Scale was 0.878 in this study.

2.3 Statistical approach

The mediating effects were estimated following the structural equation modeling procedures using Mplus 7.0. Bootstrap procedures were used to test and validate the statistical significance of the paths. Model fit was assessed using a variety of fit indices, including the ratio chi-square over degrees of freedom (λ2/df), comparative fit index (CFI), root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), and Tucker-Lewis index (TLI). Previous literature (Hoyle, 2012) indicates that the model fit is good when λ2/df ≤ 5; CFI ≥ 0.95, TLI ≥ 0.95, RMSEA ≤ 0.06, and SRMR ≤ 0.08. The bootstrapping procedure computes an estimation of the indirect effect with a 95% confidence interval (CI). The indirect effect is considered significant when zero is excluded from the confidence interval.

3 Results

3.1 Descriptive statistics

Means, standard deviations, and correlations across all variables are presented in Table 2. The scores of the three subscales (avoidance, intrusion, and hyperarousal) from the IES-R were positively correlated with the indicator of the FoMO (r1 = 0.15, r2 = 0.16, r3 = 0.17; ps < 0.001), indicating that a greater impact of the event leads to more FoMO. Coping style was negatively correlated with the scores of the avoidance and the hyperarousal subscale from the IES-R (r1 = −0.07, r2 = −0.09; ps < 0.05), while anxiety was positively correlated with the scores of the three subscales from the IES-R (r1 = 0.19, r2 = 0.17, r3 = 0.25; ps < 0.001).

Table 2
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Table 2. Descriptive statistics and correlations for all variables.

3.2 The mediating role of coping style and anxiety on the association between avoidance impact of event and the FoMO

The full proposed model was constructed, including: (a) the direct path: avoidance impact of event → the FoMO, (b) the indirect path for coping style: avoidance impact of event → coping style → the FoMO, (c) the indirect path for anxiety: avoidance impact of event → anxiety → the FoMO, (d) the direct path for mediators: coping style → anxiety. The path from coping style to the FoMO did not reach significant level in the full proposed model (see Figure 2 for standardized path coefficients). The full proposed model was a saturated model (λ2(df = 0) = 0; CFI = 1.000, TLI = 1.000, SRMR = 0.000, and RMSEA = 0.000). Consequently, we eliminated the path between them (coping style → the FoMO) to construct an alternative model, and the model fit indices [λ2(df = 1) = 1.226,p = 0.268; CFI = 0.998, TLI = 0.991, SRMR = 0.009, and RMSEA = 0.015] were within an acceptable range (see Figure 3 for standardized path coefficients). The alternative model fits the data well and is more concise compared to the full model. Therefore, the alternative model was selected as the final model. The indirect effects for the full model are reported in Table 3. Bootstrapping analyses suggested that the mediating effects of anxiety alone and the chain mediation effect of coping style and anxiety reached a significant level (indirect effects = 0.050, 0.001, respectively; ps < 0.05).

Figure 2
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Figure 2. Results of the full proposed model for the mediating role of coping style and anxiety on the association between avoidance impact of event and the fear of missing out. Significant standardized paths are displayed by the solid line. Paths that did not reach the significance level are indicated by dashed lines. ***p < 0.001, **p < 0.01, *p < 0.05.

Figure 3
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Figure 3. Results of the alternative model for the mediating role of coping style and anxiety on the association between avoidance impact of event and the fear of missing out. Significant standardized paths are displayed by the solid line. Paths that did not reach the significance level are indicated by dashed lines. ***p < 0.001, **p < 0.01, *p < 0.05.

Table 3
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Table 3. Indirect effects for the mediating role of coping style and anxiety on the association between hyperarousal impact of event and the fear of missing out.

3.3 The mediating role of coping style and anxiety on the association between intrusion impact of event and the FoMO

The full proposed model was constructed, including: (a) the direct path: intrusion impact of event → the FoMO, (b) the indirect path for coping style: intrusion impact of event → coping style → the FoMO, (c) the indirect path for anxiety: intrusion impact of event → anxiety → the FoMO, (d) the direct path for mediators: coping style → anxiety. The full proposed model was a saturated model (λ2(df = 0) = 0; CFI = 1.000, TLI = 1.000, SRMR = 0.000, and RMSEA = 0.000). The path from intrusion impact of event to coping style and the path from coping style to the FoMO did not reach a significant level in the full proposed model (see Figure 4 for standardized path coefficients), indicating that the coping style did not show mediation effect in this model. Therefore, we removed the coping style from the full model and construct an alternative model. As the alternative model is a saturated model (λ2(df = 0) = 0; CFI = 1.000, TLI = 1.000, SRMR = 0.000, and RMSEA = 0.000). Nevertheless, the alternative model is more concise compared to the full model (see Figure 5 for standardized path coefficients). Therefore, the alternative model was selected as the final model. The indirect effects for the full model are reported in Table 4. Bootstrapping analyses suggested that the mediating effects of anxiety alone reached significant level (indirect effect = 0.046, ps < 0.05).

Figure 4
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Figure 4. Results of the full proposed model for the mediating role of coping style and anxiety on the association between intrusion impact of event and the fear of missing out. Significant standardized paths are displayed by the solid line. Paths that did not reach the significance level are indicated by dashed lines. ***p < 0.001, **p < 0.01.

Figure 5
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Figure 5. Results of the alternative model for the mediating role of coping style and anxiety on the association between intrusion impact of event and the fear of missing out. Significant standardized paths are displayed by the solid line. Paths that did not reach the significance level are indicated by dashed lines. ***p < 0.001, **p < 0.01.

Table 4
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Table 4. Indirect effects for the mediating role of coping style and anxiety on the association between intrusion impact of event and the fear of missing out.

3.4 The mediating role of coping style and anxiety on the association between hyperarousal impact of event and the FoMO

The full proposed model was constructed, including: (a) the direct path: hyperarousal impact of event → the FoMO, (b) the indirect path for coping style: hyperarousal impact of event → coping style → the FoMO, (c) the indirect path for anxiety: hyperarousal impact of event → anxiety → the FoMO, (d) the direct path for mediators: coping style → anxiety. The full proposed model was a saturated model [λ2(df = 0) = 0; CFI = 1.000, TLI = 1.000, SRMR = 0.000, and RMSEA = 0.000]. The path from coping style to the FoMO did not reach a significant level in the full proposed model (see Figure 6 for standardized path coefficients). Therefore, we deleted the path between them (coping style → the FoMO) to construct an alternative model, and the model fit indices (λ2(df = 1) = 1.386, p = 0.239; CFI = 0.998, TLI = 0.987, SRMR = 0.009, and RMSEA = 0.020) were within an acceptable range (see Figure 7 for standardized path coefficients). The alternative model fits the data well and is more concise compared to the full model. Therefore, the alternative model was selected as the final model. The indirect effects for the full model are reported in Table 5. Bootstrapping analyses suggested that the mediating effects of anxiety alone and the chain mediation effect of coping style and anxiety reached significant level (indirect effects = 0.062, 0.002, respectively; ps < 0.05).

Figure 6
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Figure 6. Results of the full proposed model for the mediating role of coping style and anxiety on the association between hyperarousal impact of event and the fear of missing out. Significant standardized paths are displayed by the solid line. Paths that did not reach the significance level are indicated by dashed lines. ***p < 0.001, **p < 0.01.

Figure 7
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Figure 7. Results of the alternative model for the mediating role of coping style and anxiety on the association between hyperarousal impact of event and the fear of missing out. Significant standardized paths are displayed by the solid line. Paths that did not reach the significance level are indicated by dashed lines. ***p < 0.001, **p < 0.01.

Table 5
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Table 5. Indirect effects for the mediating role of coping style and anxiety on the association between hyperarousal impact of event and the fear of missing out.

4 Discussion

This study investigates the various factors contributing to FoMO, diverging from previous studies that focused on the negative outcomes associated with FoMO. By collecting samples from a population of college students, the present study analyzed the association between impact of event and FoMO, and investigated how the relationship was influenced by coping style and anxiety. A multiple mediator model revealed a positive association between the impact of event and FoMO levels in college students, thus supporting H1. Coping style and anxiety were identified as chain mediators in the pathway from impact of event to FoMO, thus supporting H2 and H3.

The results revealed a positive correlation between the impact of event and the level of FoMO, indicating that individuals who are more affected by major life events tend to experience more severe FoMO symptoms. This finding supports H1 and aligns with explanations from self-regulation theory. The impact of event disrupts the intended and cyclical self-regulatory processes, triggering self-regulatory defense mechanisms, which ultimately leads to a blockage of self-regulation (Zimmerman, 2000; Pintrich et al., 2012). With a greater impact, the degree of diffuse anxiety stemming from blocked self-regulation worsens, ultimately exacerbating FoMO.

A noteworthy discovery of this study is that all three impact of event dimensions positively predicted FoMO. However, they did not follow identical paths in the models. A chain of mediation effect of coping style and anxiety in the path from the avoidance factor and the hyperarousal factor to FoMO was found. While the mediating effect of coping style did not reach significant level in the path from the intrusion factor to FoMO. The mediating effect of anxiety remained significant cross all models.

Previous discussions on the impact of event on FoMO have tended to focus on life events as a distinct structure (Garnefski et al., 2001; McLaughlin and Hatzenbuehler, 2009; Turkle, 2011; Davies et al., 2022). The variability of individuals' post-event psychological responses, as measured by the dimensions of intrusion, hyperarousal, and avoidance, implies that not all individuals experience the event in the same way. As a result, their coping styles and psychological states may also vary post-event.

Impact of event can induce high levels of arousal in an individual's physiological and psychological state, which can hinder self-regulation. The pressure to regulate the situation can lead to over-defense, negative coping mechanisms, anxiety, and subsequently, FoMO. Due to the intense pain brought on by the impact of the event, the defense mechanism is triggered, and avoidance strategies are employed (Pintrich et al., 2012). However, simply avoiding the situation does not eliminate the pain caused by the impact of event. Avoidance is a negative coping mechanism that only provides short-term relief from perceived danger and pain. This can prevent cognitive change and maintain cognitive dissonance. Negative coping mechanisms can also increases anxiety and leads to FoMO (Mahmoud et al., 2012; Roohafza et al., 2014). In contrast to the dimensions of avoidance and heightened arousal, the intrusive dimension involves abnormal activation of the individual's memory system. This leads to uncontrollable and repeated recall and experience of fragments, images, and sensations associated with the impact of event. Event-related memories are abnormally reinforced and consolidated, resulting in their frequent and involuntary intrusions into the individual's consciousness, such as nightmares due to intrusive memories. Intrusions are recollections of past events that remain at the conscious level and do not affect behavior. Therefore, they do not impact coping style. This could be a possible explanation for the lack of significance in the relationship between coping style and the intrusion dimension. However, the impact of event was intrusive and caused the individual to experience negative emotions continuously, leading to anxiety and triggering their FoMO.

The degree of positive coping style was significantly and negatively related to the level of anxiety, supporting H4 and consistent with the findings of previous studies (Kozora et al., 2005; Lewis et al., 2012). The impact of event places tremendous external pressure on the individual, making it difficult for the cognitive system to reconcile the internal and external environments into rational coping styles, resulting in poor coping styles (Lazarus, 1974; Folkman and Lazarus, 1988). Poor coping styles do not solve the problems associated with the impact of event in life but instead increase the individual's negative emotions, causing anxiety and triggering FoMO (Beck and Clark, 1997). The current results showed that the greater the impact of the event, the more negative the coping style of an individual under stress. The negative coping style leads to an increase in the level of anxiety, which further exacerbates FoMO. Therefore, there is a chain mediating effect between coping style and anxiety in the impact of the event to FoMO pathway.

We explored the path from the impact of event to FoMO, concerning three factors of the impact of event. This study provides a deeper understanding of the origins and mechanisms behind FoMO, thereby providing a theoretical basis for interventions to address this phenomenon. The results revealed that the anxiety caused by the impact of event will make college students prone to FoMO, when confronted with the impact of event, it is important to avoid long-term and high-arousal negative emotions using positive coping strategy.

This study has several limitations: (1) the cross-sectional study design limits the inference of causal relationships between variables; future studies should employ longitudinal studies to more accurately explain causal relationships between variables; (2) data were collected through self-reporting in a retrospective manner, and the accuracy of the data is influenced by individual subjectivity; future studies could incorporate behavioral tasks to measure FoMO, anxiety, and other variables; (3) there may be multiple types of FoMO (Abri, 2017; Wegmann et al., 2017), and the influencing factors of different types of FoMO and their mechanisms should be addressed in further research.

5 Conclusion

This study explored the relationship between impact of event on FoMO and provided a more comprehensive reference basis for FoMO intervention by further clarifying the psychological factors and mechanisms affecting FoMO. The results of the study showed that (1) the impact of event is positively correlated with FoMO, indicating that the more an individual is affected by life events, the more severe the FoMO symptoms; (2) the positive degree of coping style is negatively correlated with the degree of anxiety (3) there is a chain mediation between coping style and anxiety in the hyperarousal and avoidance factor of the impact of event to the FoMO; (4) anxiety plays a mediates role in the link between the impact of event and FoMO.

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 study was approved by the Research Ethics Committee of Guangzhou Medical University (#202310002). 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

BH: Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. ZT: Conceptualization, Data curation, Writing – review & editing, Formal analysis. KL: Conceptualization, Writing – review & editing. BQ: Conceptualization, Data curation, Writing – review & editing. SW: Conceptualization, Methodology, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (No. 32171051), 2024 Guangzhou Basic and Applied Basic Research Foundation (No. 2024A04J5080), and Guangzhou Philosophy and Social Sciences Planning 2023 Annual Fund (No. 2023GZGJ195).

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

Abri, A. A. (2017). Where is the Party Tonight? The Impact of Fear of Missing Out on Peer Norms and Alcohol Expectancies and Consumption among College Students. PhD thesis, University of Connecticut.

Google Scholar

Akbari, M., Seydavi, M., Palmieri, S., Mansueto, G., Caselli, G., and Spada, M. (2021). Fear of missing out (fomo) and internet use: a comprehensive systematic review and meta-analysis. J. Behav. Addict. 10, 879–900. doi: 10.1556/2006.2021.00083

PubMed Abstract | Crossref Full Text | Google Scholar

Balta, S., Emirtekin, E., Kircaburun, K., and Griffiths, M. D. (2020). Neuroticism, trait fear of missing out, and phubbing: The mediating role of state fear of missing out and problematic instagram use. Int. J. Mental Health Addict. 18, 628–639. doi: 10.1007/s11469-018-9959-8

Crossref Full Text | Google Scholar

Bandura, A., and Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive motivation. Organ. Behav. Hum. Decis. Proc. 38, 92–113. doi: 10.1016/0749-5978(86)90028-2

Crossref Full Text | Google Scholar

Barlow, D. H. (2000). Unraveling the mysteries of anxiety and its disorders from the perspective of emotion theory. Am. Psychol. 55, 1247–1263. doi: 10.1037/0003-066X.55.11.1247

PubMed Abstract | Crossref Full Text | Google Scholar

Beck, A. T., and Clark, D. A. (1997). An information processing model of anxiety: Automatic and strategic processes. Behav. Res. Ther. 35, 49–58. doi: 10.1016/S0005-7967(96)00069-1

PubMed Abstract | Crossref Full Text | Google Scholar

Bell, D., and Sciacca, F. (2020). Diagnostic and statistical manual of mental disorders. Radiopaedia.org. doi: 10.53347/rID-80880

Crossref Full Text | Google Scholar

Bell, J. B., and Nye, E. C. (2007). Specific symptoms predict suicidal ideation in vietnam combat veterans with chronic post-traumatic stress disorder. Milit. Med. 172, 1144–1147. doi: 10.7205/MILMED.172.11.1144

PubMed Abstract | Crossref Full Text | Google Scholar

Beyens, I., Frison, E., and Eggermont, S. (2016). “I don't want to miss a thing”: adolescents' fear of missing out and its relationship to adolescents' social needs, Facebook use, and Facebook related stress. Comput. Hum. Behav. 64, 1–8. doi: 10.1016/j.chb.2016.05.083

Crossref Full Text | Google Scholar

Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., and Griffiths, M. D. (2015). Can Disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Curr. Addict. Rep. 2, 156–162. doi: 10.1007/s40429-015-0054-y

Crossref Full Text | Google Scholar

Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., and Liss, M. (2017). Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Person. Indiv. Differ. 116, 69–72. doi: 10.1016/j.paid.2017.04.039

Crossref Full Text | Google Scholar

Briere, J., Godbout, N., and Dias, C. (2015). Cumulative trauma, hyperarousal, and suicidality in the general population: a path analysis. J. Trauma Dissoc. 16, 153–169. doi: 10.1080/15299732.2014.970265

PubMed Abstract | Crossref Full Text | Google Scholar

Bright, L. F., and Logan, K. (2018). Is my fear of missing out (FOMO) causing fatigue? Advertising, social media fatigue, and the implications for consumers and brands. Internet Res. 28, 1213–1227. doi: 10.1108/IntR-03-2017-0112

Crossref Full Text | Google Scholar

Brown, G. W., Sklair, F., Harris, T. O., and Birley, J. L. T. (1973). Life events of psychiatric disorders. Psychol. Med. 3:74. doi: 10.1017/S0033291700046365

Crossref Full Text | Google Scholar

Buglass, S. L., Binder, J. F., Betts, L. R., and Underwood, J. D. (2017). Motivators of online vulnerability: the impact of social network site use and FOMO. Comput. Hum. Behav. 66, 248–255. doi: 10.1016/j.chb.2016.09.055

Crossref Full Text | Google Scholar

Cao, Y., and Si, J. (2010). Correlation between life events coping style and stress reaction among college students. Chinese J. School Health 31, 53–57.

Google Scholar

Casale, S., and Flett, G. L. (2020). Interpersonally-based fears during the COVID-19 pandemic: Reflections on the fear of missing out and the fear of not mattering constructs. Clin. Neuropsychiat. 17, 88–93. doi: 10.36131/CN20200211

PubMed Abstract | Crossref Full Text | Google Scholar

Casale, S., Rugai, L., and Fioravanti, G. (2018). Exploring the role of positive metacognitions in explaining the association between the fear of missing out and social media addiction. Addict. Behav. 85, 83–87. doi: 10.1016/j.addbeh.2018.05.020

PubMed Abstract | Crossref Full Text | Google Scholar

Davies, E., Read, J., and Shevlin, M. (2022). The impact of adverse childhood experiences and recent life events on anxiety and quality of life in university students. Higher Educ. 84, 211–224. doi: 10.1007/s10734-021-00774-9

PubMed Abstract | Crossref Full Text | Google Scholar

Deniz, M. (2021). Fear of missing out (FoMO) mediate relations between social self-efficacy and life satisfaction. Psicologia 34:28. doi: 10.1186/s41155-021-00193-w

PubMed Abstract | Crossref Full Text | Google Scholar

Derogatis, L. R., Rickels, K., and Rock, A. F. (1976). The scl-90 and the mmpi: a step in the validation of a new self-report scale. Br. J. Psychiat. 128, 280–289. doi: 10.1192/bjp.128.3.280

PubMed Abstract | Crossref Full Text | Google Scholar

Dhir, A., Yossatorn, Y., Kaur, P., and Chen, S. (2018). Online social media fatigue and psychological wellbeing A study of compulsive use, fear of missing out, fatigue, anxiety and depression. Int. J. Inf. Manage. 40, 141–152. doi: 10.1016/j.ijinfomgt.2018.01.012

Crossref Full Text | Google Scholar

Duman, H., and Ozkara, B. Y. (2021). The impact of social identity on online game addiction: the mediating role of the fear of missing out (FoMO) and the moderating role of the need to belong. Curr. Psychol. 40, 4571–4580. doi: 10.1007/s12144-019-00392-w

Crossref Full Text | Google Scholar

Elhai, J. D., Gallinari, E. F., Rozgonjuk, D., and Yang, H. (2020a). Depression, anxiety and fear of missing out as correlates of social, non-social and problematic smartphone use. Addict. Behav. 105:106335. doi: 10.1016/j.addbeh.2020.106335

PubMed Abstract | Crossref Full Text | Google Scholar

Elhai, J. D., Yang, H., Fang, J., Bai, X., and Hall, B. J. (2020b). Depression and anxiety symptoms are related to problematic smartphone use severity in Chinese young adults: Fear of missing out as a mediator. Addict. Behav. 101:105962. doi: 10.1016/j.addbeh.2019.04.020

PubMed Abstract | Crossref Full Text | Google Scholar

Elhai, J. D., Yang, H., and Montag, C. (2021). Fear of missing out (fomo): overview, theoretical underpinnings, and literature review on relations with severity of negative affectivity and problematic technology use. Brazil. J. Psychiat. 43, 203–209. doi: 10.1590/1516-4446-2020-0870

PubMed Abstract | Crossref Full Text | Google Scholar

Etkin, A., and Wager, T. D. (2007). Functional neuroimaging of anxiety: a meta-analysis of emotional processing in ptsd, social anxiety disorder, and specific phobia. Am. J. Psychiat. 164, 1476–1488. doi: 10.1176/appi.ajp.2007.07030504

PubMed Abstract | Crossref Full Text | Google Scholar

Fang, J., Wang, X., Wen, Z., and Zhou, J. (2020). Fear of missing out and problematic social media use as mediators between emotional support from social media and phubbing behavior. Addict. Behav. 107:106430. doi: 10.1016/j.addbeh.2020.106430

PubMed Abstract | Crossref Full Text | Google Scholar

Farahani, H. A., Kazemi, Z., Aghamohamadi, S., Bakhtiarvand, F., and Ansari, M. (2011). Examining mental health indices in students using facebook in Iran. Proc. Soc. Behav. Sci. 28, 811–814. doi: 10.1016/j.sbspro.2011.11.148

Crossref Full Text | Google Scholar

Fitzgerald, H. E., Lubin, R. E., Duncan, T., Hiserodt, M., and Otto, M. W. (2023). Underscoring the f in fomo: how does anxiety sensitivity contribute to fear of missing out? Cognit. Behav. Ther. 52, 38–46. doi: 10.1080/16506073.2022.2131619

PubMed Abstract | Crossref Full Text | Google Scholar

Flory, J. D., and Yehuda, R. (2015). Comorbidity between post-traumatic stress disorder and major depressive disorder: alternative explanations and treatment considerations. Dial. Clin. Neurosci. 17, 141–150. doi: 10.31887/DCNS.2015.17.2/jflory

PubMed Abstract | Crossref Full Text | Google Scholar

Folkman, S., and Lazarus, R. S. (1988). The relationship between coping and emotion: Implications for theory and research. Soc. Sci. Med. 26, 309–317. doi: 10.1016/0277-9536(88)90395-4

PubMed Abstract | Crossref Full Text | Google Scholar

Franchina, V., Vanden Abeele, M., Van Rooij, A., Lo Coco, G., and De Marez, L. (2018). Fear of missing out as a predictor of problematic social media use and phubbing behavior among flemish adolescents. Int. J. Environ. Res. Public Health 15:2319. doi: 10.3390/ijerph15102319

PubMed Abstract | Crossref Full Text | Google Scholar

Garnefski, N., Kraaij, V., and Spinhoven, P. (2001). Negative life events, cognitive emotion regulation and emotional problems. Person. Indiv. Differ. 30, 1311–1327. doi: 10.1016/S0191-8869(00)00113-6

Crossref Full Text | Google Scholar

Geng, F., Zhou, Y., Liang, Y., Zheng, X., Li, Y., Chen, X., et al. (2019). Posttraumatic stress disorder and psychiatric comorbidity among adolescent earthquake survivors: a longitudinal cohort study. J. Abnormal Child Psychol. 47, 671–681. doi: 10.1007/s10802-018-0462-2

PubMed Abstract | Crossref Full Text | Google Scholar

Groome, D., and Soureti, A. (2004). Post-traumatic stress disorder and anxiety symptoms in children exposed to the 1999 Greek earthquake. Br. J. Psychol. 95, 387–397. doi: 10.1348/0007126041528149

PubMed Abstract | Crossref Full Text | Google Scholar

Guazzini, A., Gursesli, M. C., Serritella, E., Tani, M., and Duradoni, M. (2022). Obsessive-Compulsive Disorder (OCD) types and social media: are social media important and impactful for OCD people? Eur. J. Invest. Health, Psychol. Educ. 12, 1108–1120. doi: 10.3390/ejihpe12080078

PubMed Abstract | Crossref Full Text | Google Scholar

Guo, S., Xin, Z., and Geng, L. (2007). Reliability and validity of chinese version of the impact of event scale-revised. Chin. J. Clin. Psychol. 15, 15–17. doi: 10.3969/j.issn.1005-3611.2007.01.006

Crossref Full Text | Google Scholar

Hoyle, R. H. (2012). Handbook of Structural Equation Modeling. New York: Guilford Press.

Google Scholar

Huan You, C., Geng Feng, N., Xiao Wei, C., Qi, W., Yu Hong, S., and Xiao Jun, S. (2018). Fear of missing out: what have i missed again? Adv. Psychol. Sci. 26:527. doi: 10.3724/SP.J.1042.2018.00527

Crossref Full Text | Google Scholar

Hughes, K. C., and Shin, L. M. (2011). Functional neuroimaging studies of post-traumatic stress disorder. Expert Rev. Neurother. 11, 275–285. doi: 10.1586/ern.10.198

PubMed Abstract | Crossref Full Text | Google Scholar

Joffe, P., and Bast, B. A. (1978). Coping and defense in relation to accommodation among a sample of blind men. J. Nervous Mental Dis. 166, 537–552. doi: 10.1097/00005053-197808000-00001

PubMed Abstract | Crossref Full Text | Google Scholar

Kar, N., and Bastia, B. K. (2006). Post-traumatic stress disorder, depression and generalised anxiety disorder in adolescents after a natural disaster: a study of comorbidity. Clin. Pract. Epidemiol. Mental Health 2, 1–7. doi: 10.1186/1745-0179-2-1

PubMed Abstract | Crossref Full Text | Google Scholar

Kasi, P. M., Naqvi, H. A., Afghan, A. K., Khawar, T., Khan, F. H., Khan, U. Z., et al. (2012). Coping styles in patients with anxiety and depression. ISRN Psychiat. 2012, 1–7. doi: 10.5402/2012/128672

PubMed Abstract | Crossref Full Text | Google Scholar

Kessler, R. C., Angermeyer, M., Anthony, J. C., Graaf, R. D., Gasquet, I., Girolamo, G. D., et al. (2007). Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World Psychiat. 6:168.

PubMed Abstract | Google Scholar

Koban, K., Neureiter, A., Stevic, A., and Matthes, J. (2022). The covid-19 infodemic at your fingertips. reciprocal relationships between covid-19 information fomo, bedtime smartphone news engagement, and daytime tiredness over time. Comput. Hum. Behav. 130:107175. doi: 10.1016/j.chb.2021.107175

PubMed Abstract | Crossref Full Text | Google Scholar

Kozora, E., Ellison, M. C., Waxmonsky, J. A., Wamboldt, F. S., and Patterson, T. L. (2005). Major life stress, coping styles, and social support in relation to psychological distress in patients with systemic lupus erythematosus. Lupus 14, 363–372. doi: 10.1191/0961203305lu2094oa

PubMed Abstract | Crossref Full Text | Google Scholar

Lazarus, R. S. (1974). Psychological stress and coping in adaptation and illness. Int. J. Psychiat. Med. 5, 321–333. doi: 10.2190/T43T-84P3-QDUR-7RTP

Crossref Full Text | Google Scholar

Lazarus, R. S., and Folkman, S. (1984). Stress, appraisal, and coping. New York, NY: Springer. doi: 10.1017/S0141347300015019

Crossref Full Text | Google Scholar

Lazarus, R. S., and Opton, E. M. (1966). “The study of psychological stress: a summary of theoretical formulations and experimental findings,” in Anxiety and Behavior (Elsevier), 225–262. doi: 10.1016/B978-1-4832-3131-0.50015-9

Crossref Full Text | Google Scholar

Lewis, K. M., Byrd, D. A., and Ollendick, T. H. (2012). Anxiety symptoms in African-American and Caucasian youth: relations to negative life events, social support, and coping. J. Anxiety Disor. 26, 32–39. doi: 10.1016/j.janxdis.2011.08.007

PubMed Abstract | Crossref Full Text | Google Scholar

Mahmoud, J. S. R., Staten, R. T., Hall, L. A., and Lennie, T. A. (2012). The relationship among young adult college students' depression, anxiety, stress, demographics, life satisfaction, and coping styles. Issues Mental Health Nurs. 33, 149–156. doi: 10.3109/01612840.2011.632708

PubMed Abstract | Crossref Full Text | Google Scholar

Mathews, A., and MacLeod, C. (2005). Cognitive vulnerability to emotional disorders. Ann. Rev. Clin. Psychol. 1, 167–195. doi: 10.1146/annurev.clinpsy.1.102803.143916

PubMed Abstract | Crossref Full Text | Google Scholar

McLaughlin, K. A., and Hatzenbuehler, M. L. (2009). Stressful life events, anxiety sensitivity, and internalizing symptoms in adolescents. J. Abnormal Psychol. 118, 659–669. doi: 10.1037/a0016499

PubMed Abstract | Crossref Full Text | Google Scholar

Motlagh, H. (2010). Impact of Event Scale-Revised. J. Physiother. 56, 203. doi: 10.1016/S1836-9553(10)70029-1

Crossref Full Text | Google Scholar

Murberg, T. A., and Bru, E. (2005). The role of coping styles as predictors of depressive symptoms among adolescents: a prospective study. Scandin. J. Psychol. 46, 385–393. doi: 10.1111/j.1467-9450.2005.00469.x

PubMed Abstract | Crossref Full Text | Google Scholar

Oberst, U., Wegmann, E., Stodt, B., Brand, M., and Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: the mediating role of fear of missing out. J. Adolesc. 55, 51–60. doi: 10.1016/j.adolescence.2016.12.008

PubMed Abstract | Crossref Full Text | Google Scholar

Pintrich, P. R., Brown, D. R., and Weinstein, C. E. (2012). “Self-regulated learning in college students: knowledge, strategies, and motivation,” in Student Motivation, Cognition, and Learning (London: Routledge), 129–150. doi: 10.4324/9780203052754-8

Crossref Full Text | Google Scholar

Przybylski, A. K., Murayama, K., DeHaan, C. R., and Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Comput. Hum. Behav. 29, 1841–1848. doi: 10.1016/j.chb.2013.02.014

Crossref Full Text | Google Scholar

Przybylski, A. K., Weinstein, N., Ryan, R. M., and Rigby, C. S. (2009). Having to versus wanting to play: background and consequences of harmonious versus obsessive engagement in video games. CyberPsychol. Behav. 12, 485–492. doi: 10.1089/cpb.2009.0083

PubMed Abstract | Crossref Full Text | Google Scholar

Reer, F., Tang, W. Y., and Quandt, T. (2019). Psychosocial well-being and social media engagement: The mediating roles of social comparison orientation and fear of missing out. New Media Soc. 21, 1486–1505. doi: 10.1177/1461444818823719

Crossref Full Text | Google Scholar

Reijneveld, S. A., Crone, M. R., Verhulst, F. C., and Verloove-Vanhorick, S. P. (2003). The effect of a severe disaster on the mental health of adolescents: a controlled study. Lancet 362, 691–696. doi: 10.1016/S0140-6736(03)14231-6

Crossref Full Text | Google Scholar

Riordan, B. C., Flett, J. A. M., Hunter, J. A., Scarf, D., and Conner, T. S. (2015). Fear of missing out (fomo): the relationship between fomo, alcohol use, and alcohol-related consequences in college students. J. Psychiat. Brain Funct. 2:9. doi: 10.7243/2055-3447-2-9

Crossref Full Text | Google Scholar

Roohafza, H. R., Afshar, H., Keshteli, A. H., Mohammadi, N., Feizi, A., Taslimi, M., et al. (2014). What's the role of perceived social support and coping styles in depression and anxiety? J. Res. Med. Sci. 19:944.

PubMed Abstract | Google Scholar

Ryan, R. M., and Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am. Psychol. 55, 68–78. doi: 10.1037/0003-066X.55.1.68

PubMed Abstract | Crossref Full Text | Google Scholar

Swan, A. J., and Kendall, P. C. (2016). Fear and missing out: youth anxiety and functional outcomes. Clin. Psychol. 23, 417–435. doi: 10.1111/cpsp.12169

Crossref Full Text | Google Scholar

Tang, H., Kuang, C., and Yao, S. (2008). Review of a developmental vulnerability-stress perspective of anxiety disorders. Chin. J. Clin. Psychol. 16, 222–224. doi: 10.3969/j.issn.1005-3611.2008.02.038

Crossref Full Text | Google Scholar

Tu, Y., and Guo, Y. (2011). The influence of life-events on negative emotions: Social support as a moderator and coping style as a mediator. Chin. J. Clin. Psychol. 19, 652–655. doi: 10.16128/j.cnki.1005-3611.2011.05.018

Crossref Full Text | Google Scholar

Turkle, S. (2011). Alone Together: Why We Expect More From Technology and Less From Each Other. New York, NY: Basic Books.

Google Scholar

Wegmann, E., Oberst, U., Stodt, B., and Brand, M. (2017). Online-specific fear of missing out and internet-use expectancies contribute to symptoms of internet-communication disorder. Addict. Behav. Rep. 5, 33–42. doi: 10.1016/j.abrep.2017.04.001

PubMed Abstract | Crossref Full Text | Google Scholar

Wen, Z. (2016). How to say goodbye to the “fear of missing out”. Available online at: https://www.xinli001.com/info/100001714 (accessed December 20, 2023).

Google Scholar

Wolfradt, U., Hempel, S., and Miles, J. N. (2003). Perceived parenting styles, depersonalisation, anxiety and coping behaviour in adolescents. Person. Indiv. Differ. 34, 521–532. doi: 10.1016/S0191-8869(02)00092-2

Crossref Full Text | Google Scholar

Wu, K. K., and Chan, K. S. (2003). The development of the Chinese version of impact of event scale - revised (CIES-R). Soc. Psychiat. Psychiatric Epidemiol. 38, 94–98. doi: 10.1007/s00127-003-0611-x

PubMed Abstract | Crossref Full Text | Google Scholar

Xie, X., Wang, Y., Wang, P., Zhao, F., and Lei, L. (2018). Basic psychological needs satisfaction and fear of missing out: friend support moderated the mediating effect of individual relative deprivation. Psychiat. Res. 268, 223–228. doi: 10.1016/j.psychres.2018.07.025

PubMed Abstract | Crossref Full Text | Google Scholar

Xie, Y. (1998). A preliminary study of the reliability and validity of the simplified coping style questionnaire. Chin. J. Clin. Psychol. 6, 53–54.

Google Scholar

Zilberg, N. J., Weiss, D. S., and Horowitz, M. J. (1982). Impact of event scale: a cross-validation study and some empirical evidence supporting a conceptual model of stress response syndromes. J. Consult. Clin. Pyschol. 50, 407–414. doi: 10.1037/0022-006X.50.3.407

PubMed Abstract | Crossref Full Text | Google Scholar

Zimmerman, B. J. (2000). “Attaining self-regulation,” in Handbook of Self-Regulation (Elsevier), 13–39. doi: 10.1016/B978-012109890-2/50031-7

Crossref Full Text | Google Scholar

Zou, P., Sun, L., Yang, W., Zeng, Y., Chen, Q., Yang, H., et al. (2018). Associations between negative life events and anxiety, depressive, and stress symptoms: a cross-sectional study among Chinese male senior college students. Psychiat. Res. 270, 26–33. doi: 10.1016/j.psychres.2018.09.019

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: impact of event, fear of missing out, coping styles, anxiety, self-regulation

Citation: He B, Tan Z, Lai K, Qiu B and Wang S (2024) The effect of event impact on fear of missing out: the chain mediation effect of coping styles and anxiety. Front. Psychol. 15:1382440. doi: 10.3389/fpsyg.2024.1382440

Received: 05 February 2024; Accepted: 29 March 2024;
Published: 18 April 2024.

Edited by:

Haibo Yang, Tianjin Normal University, China

Reviewed by:

Wahyu Rahardjo, Gunadarma University, Indonesia
Mustafa Can Gursesli, University of Florence, Italy

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*Correspondence: Suiping Wang, wangsuiping@m.scnu.edu.cn; Boyu Qiu, boyuqiu@gzhmu.edu.cn

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