Next Article in Journal
Hematological Changes in Gas Station Workers
Previous Article in Journal
Consumer Views and Experiences of Secondary-Care Services Following REFOCUS-PULSAR Staff Recovery-Oriented Practices Training
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Resilience and Extrinsic Motivation as Mediators in the Relationship between Fear of Failure and Burnout

by
Murat Yıldırım
1,*,
Ömer Kaynar
2,
Francesco Chirico
3,4,† and
Nicola Magnavita
3,†
1
Department of Psychology, Faculty of Science and Letters, Agri Ibrahim Cecen University, 04100 Ağrı, Turkey
2
Sports Science Faculty, Muş Alparslan University, 49250 Muş, Turkey
3
Post-Graduate School of Occupational Health, Università Cattolica del Sacro Cuore, 20123 Rome, Italy
4
Health Service Department, Italian State Police, Ministry of the Interior, 00198 Milan, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2023, 20(10), 5895; https://doi.org/10.3390/ijerph20105895
Submission received: 19 January 2023 / Revised: 4 April 2023 / Accepted: 17 May 2023 / Published: 20 May 2023

Abstract

:
Athletes with fear of failure are at risk of developing the symptoms of a wide range of psychological problems, including burnout. Understanding the risks and protective factors of athletes’ psychological health is an essential step in tailoring strategies and interventions to promote athletes’ psychological and mental health. This study examined the mediating roles of resilience and extrinsic motivation in the relationship between fear of failure and burnout among Turkish athletes. The study included 335 young athletes (93.4% males) whose ages ranged from 18 to 55 years (M = 24.95, SD = 8.22). Participants completed the self-reported measures of fear of failure, resilience, extrinsic motivation, and burnout. The analysis revealed that fear of failure had significant predictive effects on resilience, extrinsic motivation, and burnout. Resilience and extrinsic motivation also had significant predictive effects on burnout. The mediation analysis results showed that both resilience and extrinsic motivation partially mediated the effect of fear of failure on athlete burnout. The findings of the study provide a better insight into the underlying mechanisms between fear of failure and athlete burnout by considering resilience and extrinsic motivation as mediators. These results suggest that the adverse impact of fear of failure on athlete burnout can be mitigated by cultivating resilience and hindering extrinsic motivation.

1. Introduction

Fear of failure can be a risk factor diminishing the psychological health of athletes. In particular, extreme fear of failure is a major barrier to success for athletes who endeavour to achieve the highest level of excellence. The concept of fear of failure refers to the tendency to appraise threats in situations where the probability of failure is present [1]. According to researchers and achievement motivation theorists, fear of failure is learned at early ages between 5 and 9 years through practices of socialisation [2]. Individuals with high levels of fear of failure tend to exhibit destructive self-talk such as self-blame [3].
Fear of failure is a common self-destructive feeling, and most athletes have difficulties overcoming these negative experiences. Athletes experience fear of failure at different times and in various contexts, especially when they are concerned about not achieving what they wish and have intensively worked to acquire, such as winning a wrestling championship [1]. Research findings have shown that fear of failure is related to various factors such as a maladaptive aspects of perfectionism [4] and personality characteristics such as avoidance temperament [5]. Fear of failure is also associated with a wide range of social and individual factors, such as age, goal attainment, types of sport, perceived competence, self-control, self-compassion, shame coping, well-being, interpersonal behaviour, and sports performance [6,7,8]. Furthermore, a greater experience of fear of failure is linked with ineffective coping strategies to deal with failure experiences [9]. As a result of this, athletes who do not have effective coping abilities to overcome such situations tend to experience negative effects and poor performance, and even may subsequently drop out of the sport [10]. As such, athletes need to be equipped with and use a wide range of character strengths and coping strategies to cope with these demands. The inability to deal with these situations may result in serious problems in athletes’ performance.
Taylor et al. [1] highlighted that examination of the fear of failure in sports is necessary to advance knowledge and gain a comprehensive understanding of how best to design interventions focused on diminishing the fear of failure within individuals and better understanding the reciprocal effects within their social network. Therefore, examining the impact of fear of failure on psychological health and the possible mechanisms between this would be useful for research and practice. As such, the underlying mechanism between fear of failure and burnout with resilience and motivation as possible mediators were examined in this study.
In the wider literature, the concept of burnout has been conceptualised in terms of three main dimensions that include emotional exhaustion (loss of energy, wearing out, debilitation, fatigue, and depletion), reduced personal accomplishment (diminished productivity, an inability to deal with stress, and lower morale), and depersonalisation (loss of idealism, withdrawal, and irritability) [11,12]. In the context of sports, burnout refers to a syndrome characterised by emotional and physical exhaustion, a decreased sense of accomplishment or success, and sport devaluation [13]. This multifaceted framework of burnout suggests the importance of individual differences in the experience of stress in various contexts [12], including sports, by involving one’s perception of the self and others [13].
Athletes put a lot of physical and psychological effort into attaining success and maintaining their success for a long period of time in sports environments requiring intense competition [14]. In the face of stressful situations such as sports competitions, a positive state of psychological health of athletes serves a critical role in terms of producing better sportive performance. In such stressful situations, athletes may suffer from sport-related burnout that involves an inability to respond to stress corresponding to physical exercises and competition [13]. As such, burnout should be taken into account as a major concept as its adverse impact on well-being and mental health outcomes cannot be neglected [15,16], like many other psychosocial factors [17,18,19,20].
Researchers have highlighted that it is critical to prevent and mitigate athlete burnout [21]. A systematic review paper including 58 published scientific studies reported a wide range of demographic, psychological, and situational factors affecting athletes’ burnout either positively or negatively. These factors include motivation, perceived control, coping, resilience, social support, enjoyment, anxiety, perceived stress, mood disturbance, parental influence, coach behaviour, identity, and training load [22]. Another recent systematic review study demonstrated that various factors could lead to athlete burnout, such as perfectionistic concerns, chronic stress, and reduced self-determined motivation [21]. A high level of fear of failure was found to be associated with high levels of burnout and psychological distress in athletes competing in high-level sports [21]. Furthermore, resilience has been linked to reduced burnout [23,24]. Therefore, psychological resources such as resilience can be used to mitigate the perfectionistic mindset as effective coping strategies in the prevention and treatment of athlete burnout [21].
Resilience is an important psychological factor that is assumed to mitigate the impact of fear of failure on burnout. The concept of resilience is defined as a dynamic process that concerns how people respond to stressors, threats, risks, and challenges [25,26]. Researchers conceptualise resilience in different ways, stressing its protective and mitigating roles in that resilience minimises the adverse effects of events, improves adjustment and the adaptation of an individual to the environment, enhances the ability for problem-solving, and contributes to positive personality traits, well-being, and mental health [27].
We have assumed that resilience is an effective mitigating factor to reduce burnout in athletes. As such, we considered a socio-ecological perspective to better understand the fundamental process of resilience as a potential mediator in the relationship between fear of failure and burnout. According to Ungar [28], resilience, based on the social ecology approach, is an individual’s capacity to seek resources and cope with challenges in a culturally meaningful way to maintain and protect well-being in the face of any adversities, challenges, or events. In his social ecology theory of resilience, Ungar [28] highlighted the importance of individual capacities and resources to adopt resilient pathways. For example, resilience is related to the well-being and psychological health of people against stressors or challenges [29,30].
Given that resilience has a mitigating and protective role in stressful situations [29], it is important to incorporate these aspects when investigating the essential factors of well-being, motivation, and burnout, which differ based on diverse populations, contexts, and cultures. The existing literature showed that both internal and external factors significantly contribute to the ability to have better well-being and psychological health [29,31,32]. Internal factors are linked with the personal characteristics of a person, having a meaningful effect on a person’s psychological health and ability to cope with stressful situations, such as cognitive skills, self-worth, self-regulation, positive attitude toward the self, motivation, and personal values [33,34]. External factors, on the other hand, influence the ability of a person to be resilient while dealing with stressful situations or adversity. For instance, a strong social support system promotes and reinforces coping skills among people to adopt resilient pathways [35]. In the context of athletes, resilience can enhance the ability to recover from hardship and stressors both at the personal level and the sport-environmental level [36]. Therefore, resilience can be trained, developed, and fostered in athletes.
The concept of motivation can be best understood within the Self-determination Theory (SDT) [37,38], which asserts that every individual has the ability to make choices and manage their own life. In this theory, such an ability is vital in well-being and psychological health through enabling individuals to believe that they have explicit control over their choices and lives. Self-determination has a positive impact on motivation, by which individuals feel more motivated to engage in activities and develop toward universal psychological needs which can be achieved through the experience of autonomy, competence, and relatedness. In the tradition of SDT, motivation is differentiated into intrinsic and extrinsic motivation [37,38]. Intrinsic motivation refers to individuals’ tendencies to perform an activity which is intrinsically interesting and spontaneously satisfying, while extrinsic motivation refers to engagement in an activity because it causes some separate outcomes [39]. Those who are intrinsically motivated participate in activities just because of the experience of positive feelings, pleasures, and enjoyment derived from the activities themselves. To master optimal challenges, those people willingly perform what they are doing with high curiosity and novelty. On the other hand, those who are extrinsically motivated tend to perform behaviours or get involved in activities which lead to tangible rewards and distance from pain or punishment [39].
In the context of sports, motivation is studied to understand physical activities and performance. In this regard, a substantial amount of work has been carried out on motivation in order to comprehend why some athletes demonstrate a long-lasting tendency and desire to pursue their sports activities, while others quit or lose interest [40]. Studies have shown that athletes can be motivated by various external factors including evaluations, rewards, and pressure from friends, parents, and coaches [41]. Furthermore, motivation is also found to be related to long-time commitment and the risk of suffering from bulimic symptoms [42], sport satisfaction, subjective vitality, and an absence of negative physical symptoms [43]. A lack of motivation or solid achievement goals is positively linked to fear of failure, which has the potential to lead to a wide range of maladaptive self-protective strategies [44]. Moreover, a greater autonomous form of motivation can be achieved through the fulfilment of psychological needs, and such a fulfilment leads to greater personal and sports outcomes [40].
Previous research has emphasised that a comprehensive understanding of fear of failure in athletes is a critical step for promoting their psychological well-being, quality of engagement, motivation, sports performance, and social development [45]. Studies have typically been conducted to examine the direct impact of fear of failure on mental health outcomes (e.g., burnout) in sports, with a lack of attention given to the investigation of possible mechanisms that may explain this association [46]. In this regard, two important mechanisms, namely, resilience and motivation, may be of importance. From an applied point of view, it is important to obtain a better understanding of psychological factors (e.g., resilience and motivation) in explaining the association between fear of failure and burnout of athletes. This has a significant potential for developing models of psychological care and management in this population, which may in turn promote positive sports-related outcomes. Such a model and an understanding are necessary to inform sports authorities and provide guidance and support for the sport’s practitioners, such as sports psychologists, coaches, and medical staff, in designing coping strategies for athletes and, in turn, improving their psychological health, and reducing burnout. On the basis of our literature review sketched above, a structural model was proposed, as shown in Figure 1. Therefore, this study aims to examine mediating roles of resilience and motivation in the relationships between fear of failure and burnout among athletes. In light of this structural model, we proposed three main hypotheses:
H1. 
Fear of failure would have a direct negative impact on resilience and a direct positive impact on extrinsic motivation and burnout.
H2. 
Resilience would have a direct negative impact on burnout, while extrinsic motivation would have a direct positive impact on burnout.
H3. 
Resilience and extrinsic motivation would mediate the association between fear of failure and burnout.

2. Method

2.1. Participants

The requisite sample size was based on the rule of thumb that a sample size between 115 and 285 is sufficient to detect an indirect effect among the variables [47]. The sample for this study included 335 young Turkish athletes (93.4% males) whose ages ranged between 18 and 55 years, with a mean age of 24.95 years (SD = 8.22). Most athletes had a bachelor’s degree (52.54%), were single (72.24%), national championship (37.01%), national athletes (50.15%), and had been doing sports actively for 10 years and above (46.57%). Detailed demographic information is presented in Table 1. Athletes aged 18 years and above who were engaged in active sports were included in the study. Those who did not meet these criteria were not allowed to take part in the study.

2.2. Measures

2.2.1. Fear of Failure

The Performance Failure Appraisal Inventory (PFAI) [48] is a multidimensional instrument of threat appraisals relate to fear of failure. Participants were required to answer how strongly they believed each of the aversive consequences of failure was likely to happen to them following failure. The PFAI included 25 self-reported items grouped into five domains: (i) fear of experiencing shame and embarrassment (seven items), (ii) fear of having an uncertain future (four items), (iii) fear of devaluing one’s self-estimate (four items), (iv) fear of important others losing interest (five items), and (v) fear of upsetting important others (five items). Only an experiencing shame and embarrassment subscale was used for the purpose of this study. Each item was rated on a 5-point Likert scale from 1 (do not believe at all) to 5 (truly believe). A composite fear of failure score could be obtained by summing the individual items on each sub-scale. Turkish validation of the PFAI produced good reliability and validity evidence [49]. In this study, Cronbach’s alpha coefficient for the PFAI was 0.82.

2.2.2. Burnout

The athlete Burnout Questionnaire (ABQ) [13] is a 15-item self-reported questionnaire developed to measure the burnout level of athletes. The ABQ includes three sub-scales, with five items per sub-scale: physical/emotional exhaustion, reduced sense of accomplishment, and sport devaluation. Each item is rated on a 5-point Likert scale type ranging from 1 (almost never) to 5 (almost always). A total score can be computed to measure the overall burnout of athletes. Higher scores indicate higher levels of burnout. Turkish validation of the scale demonstrated good evidence of reliability and validity [50]. In this study, Cronbach’s alpha coefficient for the ABQ was 0.85.

2.2.3. Resilience

The Brief Resilience Scale (BRS) [51] is a 6-item self-report scale developed to assess the ability to bounce back or recover from setbacks, adversities, and failures. The items are answered on a 5-point Likert-type scale ranging from 1 (strongly disagree) to 5 (strongly agree). A total score can be computed by summing all items after reversing negatively worded items. Higher scores signify a higher ability of resilience to bounce back from stressful situations. Turkish adaptation of the scale revealed good evidence of reliability and validity [52]. In this study, Cronbach’s alpha coefficient for the BRS was 0.74.

2.2.4. Motivation

The Sport Motivation Scale II (SMS-II; Pelletier et al., 2013) [40] was developed to measure people’s level of motivation regarding sports. The scale includes 18 items clustered into 6 dimensions (3 items per dimension): intrinsic, integrated, identified, introjected, external (or extrinsic), and amotivated. Only the extrinsic dimension was used for the purpose of this study. Each item was rated using a 7-point Likert scale ranging from 1 (does not correspond at all) to 7 (corresponds completely). Higher scores on the scale represent greater sport motivation. Turkish adaptation of the scale revealed good evidence of reliability and validity [53]. In this study, Cronbach’s alpha coefficient for the SMS-II was 0.82.

2.3. Procedure

A snowball sampling approach was used to collect the data. Athletes were requested to share the link with their friends after they took part in the study. The questionnaire was created in Google Forms and was made available to the participants through social networking sites (e.g., Twitter, Facebook, and WhatsApp) and e-mails from respective sports associations or clubs. All participants were informed about the nature, aims, and procedure of the study and they were asked to give their consent prior to completing the questionnaires. Participants were given information about their rights before and after participation through the first page of the online survey. In addition, they were fully assured of the confidentiality and anonymity of responses. Involvement in the study was completely voluntary and participants have not received any incentives for their involvement. The study procedure was in accordance with the Declaration of Helsinki [54] and institutional guidelines.

2.4. Statistical Analyses

In the proposed structural model, resilience and extrinsic motivation were considered as possible mediators (M) of the relationship between fear of failure (X) and athlete burnout (Y). We employed bootstrapping (10,000 samples) to examine the extent to which the fear of failure–athlete burnout relationship was mediated through resilience and extrinsic motivation [55,56]. To determine the indirect effect, a 95% bootstrapped confidence interval was computed [57]. Effect size (small = 0.01, medium = 0.09, and large = 0.25) was estimated to assess the emerging effect [58]. All analyses were performed using SPSS v26 for Windows and the macro-PROCESS v4.1 [55].

3. Results

3.1. Descriptive Statistics and Correlation Analysis

Table 2 presents descriptive statistics (i.e., mean and standard deviation), tests of normality (i.e., skewness and kurtosis), bivariate correlation coefficient, and internal consistency reliability estimates for the main variables of this study. The values of skewness (range = 0.12 and 0.53) and kurtosis (range = −0.59 and 0.45) indicated that all variables had a relatively normal distribution, with a commonly used reference for skewness and kurtosis values < |1| [59]. All the study variables had acceptable to good internal consistency reliability. The correlation analysis demonstrated that fear of failure had significant positive correlations with athlete burnout and extrinsic motivation, and a significant negative correlation with resilience. Athlete burnout was significantly negatively correlated with resilience and significantly positively correlated with extrinsic motivation. There was a significant negative relationship between resilience and extrinsic motivation.

3.2. Mediation Analysis

The results of the mediation analysis are presented in Table 3 and Table 4, and Figure 1. The results showed that fear of failure had a significant negative predictive effect on resilience (β = −0.31, p < 0.001) and a significant positive predictive effect on extrinsic motivation (β = 0.22, p < 0.001). Fear of failure explained 10% of the variance in resilience and 5% of the variance in extrinsic motivation. In addition, fear of failure (β = 0.19, p < 0.001), resilience (β = −0.37, p < 0.001), and extrinsic motivation (β = 0.11, p < 0.05) had significant predictive effects on athlete burnout. These three variables collectively explained 26% of the variance in athlete burnout. Furthermore, the indirect effect of fear of failure on athlete burnout was statistically significant through the mediating effects of resilience (effect = 0.18, 95% CI [0.10, 0.26]) and extrinsic motivation (effect = 0.04, 95% CI [0.00, 0.09]). These findings suggest that resilience and extrinsic motivation partially mediate the effect of fear of failure on athlete burnout.

4. Discussion

The purpose of this study was to explore the influence of fear of failure on athlete burnout and its potential mediating mechanisms of resilience and extrinsic motivation. As hypothesised, the results of this study indicated that fear of failure significantly negatively predicted resilience and significantly positively predicted extrinsic motivation and athlete burnout. This confirms the first research hypothesis. These results are consistent with the results of previous studies, showing the negative associations between the fear of failure and resilience [60] and positive associations between the fear of failure with motivation and burnout [61]. This may be because athletes with a high level of fear of failure are prone to avoid success and focus on failure when challenges arise [62]. Athletes with a low fear of failure are willing to spend time and energy, and maintain a positive attitude and interest in purposefully increasing effort towards a set goal, and this reduces extrinsic motivation and burnout [61].
The study also revealed that resilience negatively predicted the burnout of athletes, while extrinsic motivation positively predicted burnout, which validates the second hypothesis of this study. This result also supports the view that psychological resources and strengths (e.g., resilience and psychological capital) directly affect the results of individual development through the individual’s self-regulatory system [63,64,65]. The extrinsic motivation was found to increase burnout and diminish satisfaction [66]. Therefore, the promotion of resilience and the switching of the focus from extrinsic motivation to intrinsic motivation are important factors in contributing to reduced levels of burnout. Such promotion in sports helps to create a warm and supportive atmosphere, enabling athletes to feel more confident and supported to become more aware of their potential and own group members.
This study also found that resilience and extrinsic motivation play a parallel mediating role between the fear of failure and athlete burnout, which validates the third hypothesis. This result suggests that athletes with a high level of fear of failure have poor resilience and high extrinsic motivation, leading to a greater burnout experience. Earlier research has demonstrated that resilience is an important explanatory factor for the influence of negative feelings and experiences on mental health outcomes [67,68,69,70]. The cultivation of resilience can enhance athletes’ psychological health by reducing burnout experiences due to a fear of failure. Athletes with higher extrinsic motivation are more willing to actively participate in activities with the hope of achieving other people’s goals through rewards or external factors. This form of motivation is represented by a locus of external control, whose aim is either to fulfil an external demand or to acquire a reward [71], and is related to negative outcomes [44]. Therefore, the experience of fear of failure related to sports can diminish psychological resources, which in turn has the potential to deteriorate the psychological health of athletes, such as the greater experience of burnout.
From time to time, many people experience dysfunctional beliefs such as fear of failure, concern about the future, ruminating through past experiences, and self-blame about themselves. When dysfunctional beliefs or thinking are excessively experienced, they may lead to negative consequences [72,73]. While certain psychological resources (e.g., resilience) buffer the negative impacts of these beliefs on psychological health, others (e.g., extrinsic motivation) may exacerbate this impact. Researchers, practitioners, and policymakers could take the results of our study to help alleviate the suffering of individuals, including athletes, to help them grow and function effectively, not just at the individual level but also at the organisational level.
This study paves the way for numerous applications in activities, and not only those of athletes, but more generally including health promotion in the workplace. Burnout is a condition that can affect workers exposed to intense and prolonged stress which exceeds their individual resources and resilience strategies. Longitudinal studies conducted on frontline workers of COVID-19 hubs, forced to deal with the pandemic for a long time, have shown that the tendency to burnout increases with the constant increase in workload, compassion fatigue and isolation, and the lack of time for meditation, physical activity, and relaxation options [74]. During the COVID-19 pandemic, as well as in previous outbreaks, like the general public [75,76,77,78,79], frontline healthcare workers were at high risk of burnout, as are many healthcare workers outside of epidemics who lack adequate resilience and ongoing motivation [80,81].
Although the current study presents new information relative to the mediating roles of resilience and extrinsic motivation on the relationship between fear of failure and burnout, it is not without limitations. The cross-sectional research design of this research did not enable firm causal conclusions among the variables. Carrying out longitudinal research by collecting data at different time points alongside experimental research is necessary for future studies, as there are various dynamic and complex processes by which fear of failure is associated with psychological outcomes. Additionally, the most salient mediating processes appear to involve psychological strengths such as resilience, which need to be examined further in subsequent studies. In addition, the data for this study were collected through an online survey. In spite of their superiority, such as for reasons of accessibility and affordability, online surveys have been criticised in terms of carrying selection bias and challenges to including participants who do not have access to the internet [82]. Finally, there was a substantial difference between the proportion of male (93.43%) and female athletes (6.57%). The results of the current sample might not be representative of the population. Therefore, future research needs to conduct studies with an ideally equal number of male and female athletes to improve the representativeness of the sample.

5. Conclusions

In conclusion, the present study revealed that fear of failure may have affected symptoms of athlete burnout. However, this can be explained via the impacts of resilience and extrinsic motivation. While extrinsic motivation serves as a risk factor in terms of its impact on athlete burnout, resilience plays an important role in protecting athletes’ psychological health by reducing the adverse impact of fear of failure on athlete burnout. The examination of protective factors alongside risk factors can provide a wider insight into measures to cope with the symptoms of burnout in athletes resulting from fear of failure related to sports. The findings of the present study are also useful for sports coaching to help in developing health promotion programs and cultivating resilience among the athlete population. Additionally, it will be the responsibility of policymakers to develop public health strategies through the promotion of policies related to psychological strengths in the context of sports.

Author Contributions

Conceptualisation, M.Y. and Ö.K.; Methodology, M.Y.; Software, M.Y.; Validation, M.Y. and F.C.; Formal analysis, M.Y.; Investigation, M.Y.; Resources, M.Y.; Data curation, M.Y. and Ö.K.; Writing—original draft, M.Y.; Writing—review and editing, M.Y., Ö.K., F.C. and N.M.; Visualisation, M.Y.; Supervision, M.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent Statement

Consent was obtained from all participants included in the study.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author (M.Y.) upon reasonable request.

Acknowledgments

We thank all participants who voluntarily contributed to this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Taylor, S.; Eklund, R.; Arthur, C. Fear of failure in sport, exercise, and physical activity: A scoping review. Int. Rev. Sport Exerc. Psychol. 2021, 1–29. [Google Scholar] [CrossRef]
  2. Elliot, A.J.; Conroy, D.E.; Barron, K.E.; Murayama, K. Achievement motives and goals: A developmental analysis. In The Handbook of Life-Span Development, 2nd ed.; Lerner, R.M., Lamb, M.E., Freund, A.M., Eds.; Wiley: Hoboken, NJ, USA, 2010; pp. 474–510. [Google Scholar]
  3. Conroy, D.E.; Coatsworth, J.D.; Fifer, A.M. Testing dynamic relations between perceived competence and fear of failure in young athletes. Rev. Eur. De Psychol. Appl. 2005, 55, 99–110. [Google Scholar] [CrossRef]
  4. Gucciardi, D.F.; Mahoney, J.; Jalleh, G.; Donovan, R.J.; Parkes, J. Perfectionistic profiles among elite athletes and differences in their motivational orientations. J. Sport Exerc. Psychol. 2012, 34, 159–183. [Google Scholar] [CrossRef] [PubMed]
  5. Kaye, M.P.; Conroy, D.E.; Fifer, A.M. Individual differences in incompetence avoidance. J. Sport Exerc. Psychol. 2008, 30, 110–132. [Google Scholar] [CrossRef]
  6. Elison, J.; Partridge, J.A. Relationships between shame-coping, fear of failure, and perfectionism in college athletes. J. Sport Behav. 2012, 35, 19–39. [Google Scholar]
  7. Sagar, S.; Jowett, S. Fear of failure and self-control in the context of coach-athlete relationship quality. Int. J. Coach. Sci. 2015, 9, 3–21. [Google Scholar]
  8. Wikman, J.M.; Stelter, R.; Melzer, M.; Hauge, M.-L.T.; Elbe, A.-M. Effects of goal setting on fear of failure in Young Elite athletes. Int. J. Sport Exerc. Psychol. 2014, 12, 185–205. [Google Scholar] [CrossRef]
  9. Sagar, S.S.; Busch, B.K.; Jowett, S. Success and failure, fear of failure, and coping responses of adolescent academy football players. J. Appl. Sport Psychol. 2010, 22, 213–230. [Google Scholar] [CrossRef]
  10. Sagar, S.S.; Lavallee, D.; Spray, C.M. Coping with the effects of fear of failure: A preliminary investigation of young elite athletes. J. Clin. Sport Psychol. 2009, 3, 73–98. [Google Scholar] [CrossRef]
  11. Maslach, C.; Schaufeli, W.B.; Leiter, M.P. Job burnout. Annu. Rev. Psychol. 2001, 52, 397–422. [Google Scholar] [CrossRef]
  12. Maslach, C.; Leiter, M.P. Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry Off. J. World Psychiatr. Assoc. (WPA) 2016, 15, 103–111. [Google Scholar] [CrossRef] [PubMed]
  13. Raedeke, T.D.; Smith, A.L. Development and preliminary validation of an athlete burnout measure. J. Sport Exerc. Psychol. 2001, 23, 281–306. [Google Scholar] [CrossRef] [PubMed]
  14. Dogan, E. Examination of Burnout Levels of Athletes Studying at the Faculty of Sport Sciences. Online Submiss. 2019, 7, 90–94. [Google Scholar]
  15. Chirico, F.; Crescenzo, P.; Sacco, A.; Riccò, M.; Ripa, S.; Nucera, G.; Magnavita, N. Prevalence of burnout syndrome among Italian volunteers of the Red Cross: A cross-sectional study. Ind. Health 2021, 59, 117–127. [Google Scholar] [CrossRef] [PubMed]
  16. Murray, J.S. Workplace bullying in nursing: A problem that can’t be ignored. MEDSURG Nurs. 2009, 18, 273. [Google Scholar]
  17. Alshehri, N.A.; Yildirim, V. Saudi adolescents’ reports of the relationship between parental factors, social support and mental health problems. Arab. J. Psychiatry 2020, 31, 130–143. [Google Scholar] [CrossRef]
  18. Armiya’u, A.Y.U.; Yıldırım, M.; Muhammad, A.; Tanhan, A.; Young, J.S. Mental health facilitators and barriers during COVID-19 in Nigeria. J. Asian Afr. Stud. 2022. [Google Scholar] [CrossRef]
  19. Yıldırım, M. Confidence in social interactions among Turkish adults living in the United Kingdom. Muhakeme J. 2020, 3, 92–102. [Google Scholar] [CrossRef]
  20. Yıldırım, M.; Özaslan, A. Love of Life Scale: Psychometric analysis of a Turkish adaptation and exploration of its relationship with well-being and personality. Gazi Med. J. 2022, 33, 158–162. [Google Scholar]
  21. Gustafsson, H.; DeFreese, J.D.; Madigan, D.J. Athlete burnout: Review and recommendations. Curr. Opin. Psychol. 2017, 16, 109–113. [Google Scholar] [CrossRef]
  22. Goodger, K.; Gorely, T.; Lavallee, D.; Harwood, C. Burnout in sport: A systematic review. Sport Psychol. 2007, 21, 127–151. [Google Scholar] [CrossRef]
  23. Chen, L.H.; Kee, Y.H.; Tsai, Y.M. Relation of dispositional optimism with burnout among athletes. Percept. Mot. Ski. 2008, 106, 693–698. [Google Scholar] [CrossRef] [PubMed]
  24. Murphy, Y. The Role of Job Satisfaction, Resilience, Optimism and Emotional Intelligence in the Prediction of Burnout. Bachelor’s Thesis, Dublin Business School, Dublin, Ireland, 2014. [Google Scholar]
  25. Kaynar, Ö.; Seyhan, S.; Bilici, M.F. Güreşçilerde sportif başariyi olumsuz etkileyen faktörlerin incelenmesi. Beden Eğitimi Spor Bilim. Derg. 2018, 20, 54–59. [Google Scholar]
  26. Masten, A.S.; Lucke, C.M.; Nelson, K.M.; Stallworthy, I.C. Resilience in development and psychopathology: Multisystem perspectives. Annu. Rev. Clin. Psychol. 2021, 17, 521–549. [Google Scholar] [CrossRef]
  27. Ledesma, J. Conceptual frameworks and research models on resilience in leadership. SAGE Open 2014, 4, 215824401454546. [Google Scholar] [CrossRef]
  28. Ungar, M. The social ecology of resilience: Addressing contextual and cultural ambiguity of a nascent construct. Am. J. Orthopsychiatry 2011, 81, 1–17. [Google Scholar] [CrossRef] [PubMed]
  29. Tugade, M.M.; Fredrickson, B.L. Resilient individuals use positive emotions to bounce back from negative emotional experiences. J. Personal. Soc. Psychol. 2004, 86, 320–333. [Google Scholar] [CrossRef]
  30. Yıldırım, M.; Arslan, G. Exploring the associations between resilience, dispositional hope, preventive behaviours, subjective well-being, and psychological health among adults during early stage of COVID-19. Curr. Psychol. 2020, 41, 5712–5722. [Google Scholar] [CrossRef]
  31. Kuttel, A.; Larsen, C.H. Risk and protective factors for mental health in elite athletes: A scoping review. Int. Rev. Sport Exerc. Psychol. 2020, 13, 231–265. [Google Scholar] [CrossRef]
  32. Oskrochi, G.; Bani-Mustafa, A.; Oskrochi, Y. Factors affecting psychological well-being: Evidence from two nationally representative surveys. PLoS ONE 2018, 13, e0198638. [Google Scholar] [CrossRef]
  33. Luthar, S.S.; Cicchetti, D.; Becker, B. The construct of resilience: A critical evaluation and guidelines for future work. Child Dev. 2000, 71, 543–562. [Google Scholar] [CrossRef] [PubMed]
  34. Bonnano, G. Loss, trauma and human resilience: Conceptual and empirical connections and separateness. Am. Psychol. 2004, 59, 20–28. [Google Scholar]
  35. Masten, A.S. Ordinary magic: Resilience processes in development. Am. Psychol. 2001, 56, 227–238. [Google Scholar] [CrossRef] [PubMed]
  36. Lebrun, F.; MacNamara, A.; Rodgers, S.; Collins, D. Learning from elite athletes’ experience of depression. Front. Psychol. 2018, 9, 2062. [Google Scholar] [CrossRef] [PubMed]
  37. Ulucan, K.; Yuksel, I.; Dogan, C.S.; Kavas, N.C.; Bilici, M.F.; Kaynar, O. Interleukin-6 rs1800795 polymorphism is not considered as a genetic biomarker in Turkish national skiing running athlete cohort. Fresenius Environ. Bull. 2020, 29, 6359–6362. [Google Scholar]
  38. Kaynar, Ö.; Yilmaz, M.; Akyüz, M. Deri enfeksiyonlarının anksiyete üzerine etkisinin araştırılması: Türk güreşçileri üzerinde bir çalışma. Spormetre Beden Eğitimi Spor Bilim. Derg. 2017, 15, 165–170. [Google Scholar]
  39. Deci, E.L.; Ryan, R.M. Facilitating optimal motivation and psychological well-being across life’s domains. Can. Psychol./Psychol. Can. 2008, 49, 14–23. [Google Scholar] [CrossRef]
  40. Pelletier, L.G.; Rocchi, M.A.; Vallerand, R.J.; Deci, E.L.; Ryan, R.M. Validation of the revised Sport Motivation Scale (SMS-II). Psychol. Sport Exerc. 2013, 14, 329–341. [Google Scholar] [CrossRef]
  41. Ryan, R.M.; Deci, E.L. Active human nature: Self-determination theory and the promotion and maintenance of sport, exercise, and health. In Intrinsic Motivation and Self-Determination in Exercise and Sport; Hagger, M.S., Chatzisarantis, N.L.D., Eds.; Human Kinetics: Champaign, IL, USA, 2007; pp. 1–19. [Google Scholar]
  42. Pelletier, L.G.; Dion, S.; Séguin-Lévesque, C. Can self-determined motivation help protect women against socio-cultural influences about body image and reduce their risk of experiencing bulimic symptoms? J. Soc. Clin. Psychol. 2004, 23, 61–88. [Google Scholar] [CrossRef]
  43. Baygutalp, N.K.; Ozturk, N.; Bakan, E.; Kurt, N.; Mehmet, A.G.; Dorman, E.; Kiyici, F.; Kaynar, O.; Yazici, A.G. Acute effects of training on some biochemical analytes in professional boxers sub-title: Biochemical analytes in boxers. Int. J. 2016, 4, 39–52. [Google Scholar]
  44. De Castella, K.; Byrne, D.; Covington, M. Unmotivated or motivated to fail? A cross-cultural study of achievement motivation, fear of failure, and student disengagement. J. Educ. Psychol. 2013, 105, 861. [Google Scholar]
  45. Coreia, M.E.; Rosado, A.; Serpa, S.; Ferreira, V. Fear of failure in athletes: Gender, age and type of sport differences. Rev. Iberoam. Psicol. Ejerc. Deporte 2017, 12, 185–193. [Google Scholar]
  46. Correia, M.E.; Rosado, A. Fear of failure and anxiety in sport. Análise Psicológica 2018, 36, 75–86. [Google Scholar] [CrossRef]
  47. Fritz, M.S.; MacKinnon, D.P. Required sample size to detect the mediated effect. Psychol. Sci. 2007, 18, 233–239. [Google Scholar] [CrossRef]
  48. Kaynar, Ö. Investigation of Talent Selection Methods in Different Sports Branches. J. Educ. Train. Stud. 2018, 6, 44–48. [Google Scholar] [CrossRef]
  49. Kahraman, N.; Sungur, S. Adaptation of the Performance Failure Appraisal Inventory PFAI into Turkish. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Derg. 2016, 17, 223–239. [Google Scholar]
  50. Kelecek, S.; Kara, F.M.; Çetinkalp, F.Z.K.; Aşçi, F.H. Sporcu Tükenmişlik Ölçeği ‘nin Türkçe Uyarlaması. Spor Bilim. Derg. 2016, 27, 150–161. [Google Scholar] [CrossRef]
  51. Smith, B.W.; Dalen, J.; Wiggins, K.; Tooley, E.; Christopher, P.; Bernard, J. The brief resilience scale: Assessing the ability to bounce back. Int. J. Behav. Med. 2008, 15, 194–200. [Google Scholar] [PubMed]
  52. Doğan, T. Adaptation of the Brief Resilience Scale into Turkish: A validity and reliability study. J. Happiness Well-Being 2015, 3, 93–102. [Google Scholar]
  53. Öcal, K.; Sakallı, D. Turkish adaptation of the sport motivation scale II (SMS-II): Procedures of validity and reliability. Int. J. Sport Exerc. Train. Sci. 2018, 4, 39–48. [Google Scholar] [CrossRef]
  54. General Assembly of the World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. J. Am. Coll. Dent. 2014, 81, 14–18. [Google Scholar]
  55. Hayes, A.F. PROCESS: A Versatile Computational Tool for Observed Variable Mediation, Moderation, and Conditional Process Modeling. 2012. Available online: http://www.afhayes.com/public/process2012.pdf (accessed on 15 January 2023).
  56. Hayes, A.F.; Preacher, K.J. Statistical mediation analysis with a multicategorical independent variable. Br. J. Math. Stat. Psychol. 2014, 67, 451–470. [Google Scholar] [CrossRef] [PubMed]
  57. Preacher, K.J.; Kelley, K. Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychol. Methods 2011, 16, 93–115. [Google Scholar] [CrossRef] [PubMed]
  58. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Academic Press: New York, NY, USA, 1988. [Google Scholar]
  59. Field, A. Discovering Statistics Using SPSS; Sage Publications: New York, NY, USA, 2009. [Google Scholar]
  60. Vaughn, K.E.; Srivatsa, N.; Graf, A.S. Effort praise improves resilience for college students with high fear of failure. J. Coll. Stud. Retent. Res. Theory Pract. 2021, 1521025120986517. [Google Scholar] [CrossRef]
  61. Sánchez-Romero, E.I.; Ponseti Verdaguer, F.J.; Cantallops Ramón, J.; García-Mas, A. The Quantity and Quality of Anxiety Are Mediating Variables between Motivation, Burnout and Fear of Failing in Sport. Int. J. Environ. Res. Public Health 2021, 18, 12343. [Google Scholar] [CrossRef]
  62. Caraway, K.; Tucker, C.M.; Reinke, W.M.; Hall, C. Self-efficacy, goal orientation, and fear of failure as predictors of school engagement in high school students. Psychol. Sch. 2003, 40, 417–427. [Google Scholar] [CrossRef]
  63. Çağış, Z.G.; Yıldırım, M. Understanding the effect of fear of COVID-19 on COVID-19 burnout and job satisfaction: A mediation model of psychological capital. Psychol. Health Med. 2022, 28, 279–289. [Google Scholar] [CrossRef]
  64. Yıldırım, M.; Çiçek, İ.; Şanlı, M. Coronavirus stress and COVID-19 burnout among healthcare staffs: The mediating role of optimism and social connectedness. Curr. Psychol. 2021, 40, 5763–5771. [Google Scholar] [CrossRef]
  65. Yıldırım, M.; Solmaz, F. COVID-19 burnout, COVID-19 stress and resilience: Initial psychometric properties of COVID-19 Burnout Scale. Death Stud. 2022, 46, 524–532. [Google Scholar] [CrossRef]
  66. Moller, A.C.; Jager, A.J.; Williams, G.C.; Kao, A.C. US physicians’ work motivation and their occupational health. Medical Care 2019, 57, 334–340. [Google Scholar] [CrossRef]
  67. Aziz, I.A.; Yıldırım, M. Investigating relationship between psychological trait resilience and forgiveness among internally displaced persons. Psychol. Community Health 2020, 8, 263–274. [Google Scholar] [CrossRef]
  68. Hu, J.; Ye, B.; Yildirim, M.; Yang, Q. Perceived stress and life satisfaction during COVID-19 pandemic: The mediating role of social adaptation and the moderating role of emotional resilience. Psychol. Health Med. 2022, 28, 124–130. [Google Scholar] [CrossRef] [PubMed]
  69. Yıldırım, M.; Aziz, I.A.; Vostanis, P.; Hassan, M.N. Associations among resilience, hope, social support, feeling belongingness, satisfaction with life, and flourishing among Syrian minority refugees. J. Ethn. Subst. Abus. 2022, 1–16. [Google Scholar] [CrossRef]
  70. Yıldırım, M.; Çağış, Z.; Batra, K.; Ferrarı, G.; Kızılgeçit, M.; Chırıco, F.; Sharma, M. Role of resilience in psychological adjustment and satisfaction with life among undergraduate students in Turkey: A cross-sectional study. J. Health Soc. Sci. 2022, 7, 224–234. [Google Scholar] [CrossRef]
  71. Howard, J.L.; Gagné, M.; Bureau, J.S. Testing a continuum structure of self-determined motivation: A meta-analysis. Psychol. Bull. 2017, 143, 1346–1377. [Google Scholar] [CrossRef] [PubMed]
  72. Yıldırım, M.; Maltby, J. Examining irrational happiness beliefs within an adaptation-continuum model of personality and coping. J. Ration.-Emot. Cogn.-Behav. Ther. 2022, 40, 175–189. [Google Scholar] [CrossRef]
  73. Yıldırım, M.; Davison, E.; Flowe, H.D.; Maltby, J. Reconsidering valuing happiness: The application of goal type theory. Int. J. Ment. Health Addict. 2022, 20, 1757–1767. [Google Scholar] [CrossRef]
  74. Magnavita, N.; Soave, P.M.; Antonelli, M. Treating Anti-Vax Patients, a New Occupational Stressor—Data from the 4th Wave of the Prospective Study of Intensivists and COVID-19 (PSIC). Int. J. Environ. Res. Public Health 2022, 19, 5889. [Google Scholar] [CrossRef]
  75. Geçer, E.; Yıldırım, M. Family communication and psychological distress in the era of COVID-19 pandemic: Mediating role of coping. J. Fam. Issues 2023, 44, 203–219. [Google Scholar] [CrossRef]
  76. Green, Z.A. Generalized Self-Efficacy Shields on the Negative Effect of Academic Anxiety on Academic Self-Efficacy During COVID-19 Over Time: A Mixed-Method Study. J. Sch. Educ. Psychol. 2022, 2, 44–59. [Google Scholar] [CrossRef]
  77. Waters, L.; Johnstone, A. Embedding Well-being into School: A Case Study of Positive Education Before and During COVID-19 Lockdowns. J. Sch. Educ. Psychol. 2022, 2, 60–77. [Google Scholar] [CrossRef]
  78. Yıldırım, M.; Çiçek, İ. Fear of COVID-19 and Smartphone Addiction Among Turkish Adolescents: Mitigating Role of Resilience. Fam. J. 2022, 10664807221139510. [Google Scholar] [CrossRef]
  79. Yıldırım, M.; Şanlı, M. Psychometric properties of the Turkish version of the COVID-19 Impact Scale in university students. J. Sch. Educ. Psychol. 2023, 3, 22–33. [Google Scholar] [CrossRef]
  80. Chirico, F.; Afolabi, A.A.; Ilesanmi, O.S.; Nucera, G.; Ferrari, G.; Sacco, A.; Szarpak, L.; Crescenzo, P.; Magnavita, N.; Leiter, M. Prevalence, risk factors and prevention of burnout syndrome among healthcare workers: An umbrella review of systematic reviews and meta-analyses. J. Health Soc. Sci. 2021, 6, 465–491. [Google Scholar] [CrossRef]
  81. Magnavita, N.; Chirico, F.; Garbarino, S.; Bragazzi, N.L.; Santacroce, E.; Zaffina, S. SARS/MERS/SARS-CoV-2 Outbreaks and Burnout Syndrome among Healthcare Workers. An Umbrella Systematic Review. Int. J. Environ. Res. Public Health 2021, 18, 4361. [Google Scholar] [CrossRef] [PubMed]
  82. Vaske, J.J. Advantages and disadvantages of internet surveys: Introduction to the special issue. Hum. Dimens. Wildl. 2011, 16, 149–153. [Google Scholar] [CrossRef]
Figure 1. Structural model showing the associations between the variables (** p < 0.001, * p < 0.05).
Figure 1. Structural model showing the associations between the variables (** p < 0.001, * p < 0.05).
Ijerph 20 05895 g001
Table 1. Descriptive characteristics of the participants.
Table 1. Descriptive characteristics of the participants.
Variable Leveln%
GenderMales31393.43
Females226.57
Marital statusSingle24272.24
Married9227.46
Divorced/Widowed10.30
The highest level of educationHigh school or below14041.79
Bachelor’s degree17652.54
Postgraduate195.67
Active sports years1–3 years4212.54
4–6 years8224.48
7–9 years5516.42
10 years and above15646.57
Best sport ratingDistrict Championship9428.06
National Championship12437.01
European Championship5115.22
World Championship3811.34
None226.57
Unanswered61.79
National level of athletesNational16850.15
Non-national 16749.85
Table 2. Descriptive statistics and correlations.
Table 2. Descriptive statistics and correlations.
Descriptive StatisticsCorrelation
VariableMSDSkewKurtα1234
1. Fear of failure21.125.660.12−0.090.820.33 **−0.31 **0.22 **
2. Athlete burnout30.048.610.530.350.85 −0.45 **0.23 **
3. Resilience19.653.710.480.450.74 −0.19 **
4. Extrinsic motivation9.994.580.30−0.590.82
Note. ** p < 0.01.
Table 3. Unstandardised coefficients for the mediation model.
Table 3. Unstandardised coefficients for the mediation model.
Consequence
M1 (Resilience)
Antecedent Coeff.SEtp
X (Fear of failure)a1–0.200.03–5.96<0.001
ConstantiM123.950.7532.10<0.001
R2 = 0.10
F = 35.57; p < 0.001
M2 (Extrinsic motivation)
X (Fear of failure)a20.180.044.17<0.001
ConstantiM26.180.946.55<0.001
R2 = 0.05
F = 17.40; p < 0.001
Y (Athlete burnout)
X (Fear of failure)c0.290.083.73<0.001
M1 (Resilience)b1–0.870.12–7.44<0.001
M2 (Extrinsic motivation)b20.210.092.30<0.05
Constantiy38.923.3211.72<0.001
R2 = 0.26
F = 38.36; p < 0.001
Note. SE = standard error. Coeff = unstandardised coefficient. X = independent variable; M = mediator variable; Y = dependent variable.
Table 4. Standardised indirect effects.
Table 4. Standardised indirect effects.
PathEffectSEBootLLCIBootULCI
Total indirect effect0.210.050.130.32
Fear of failure –> Resilience –> Athlete burnout0.180.040.100.26
Fear of failure –> Extrinsic motivation –> Athlete burnout0.040.020.000.09
Note. The number of bootstrap samples for percentile bootstrap confidence intervals: 10,000.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yıldırım, M.; Kaynar, Ö.; Chirico, F.; Magnavita, N. Resilience and Extrinsic Motivation as Mediators in the Relationship between Fear of Failure and Burnout. Int. J. Environ. Res. Public Health 2023, 20, 5895. https://doi.org/10.3390/ijerph20105895

AMA Style

Yıldırım M, Kaynar Ö, Chirico F, Magnavita N. Resilience and Extrinsic Motivation as Mediators in the Relationship between Fear of Failure and Burnout. International Journal of Environmental Research and Public Health. 2023; 20(10):5895. https://doi.org/10.3390/ijerph20105895

Chicago/Turabian Style

Yıldırım, Murat, Ömer Kaynar, Francesco Chirico, and Nicola Magnavita. 2023. "Resilience and Extrinsic Motivation as Mediators in the Relationship between Fear of Failure and Burnout" International Journal of Environmental Research and Public Health 20, no. 10: 5895. https://doi.org/10.3390/ijerph20105895

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop