The rapid global spread of SARS-CoV-2 since it was first identified in China’s Hubei province on 31 December 2019 has infected millions of people and caused hundreds of thousands of deaths. These rapid developments triggered a shock wave that has been called “a global trauma” (Aşkın et al., 2020) resulting in psychological and mental disorders worldwide (Salari et al., 2020). After sport events were cancelled or postponed and sports centers had to close their doors (Blocken et al., 2020), most professional sports were put on hold (Carmody et al., 2020), with most athletes isolating themselves in compliance with social distancing measures taken in response to the COVID-19 pandemic. Although athletes are younger and have fewer comorbidities than the general population (Toresdahl & Asif, 2020), research findings and expert reports revealed that the COVID-19 pandemic had a significant impact on their physical and mental state (Jukic et al., 2020), causing mental health burdens and risks (Claussen & Scherr, 2020), worsened physical and psychological qualities (Stokes et al., 2020), uncertainty about returning to sports and depression (Pillay et al., 2020), poorer mental health, burnout syndrome, alienation, and poor coping responses (Schinke et al., 2020), greater risks of skeletal muscle, tendon, and cartilage changes for team sports practitioners (Paoli & Musumeci, 2020), and some COVID-19 cases (Tekkurşun Demir et al., 2020; Corsini et al., 2020). After the Tokyo 2020 Olympics were postponed, Taku and Arai (2020) found both positive and negative effects on athletes and coaches, with some athletes retiring from competitive sports while others considered it an opportunity to gain better form or recover from injuries.

Due to the nature of the COVID-19 pandemic, psychological studies follow a slower pace than medical research. The sports world has gradually started to reopen training areas and major leagues in some sports, such as football, basketball, handball, winter sports, wrestling, and judo. However, restarting sports activities after a long break due to the pandemic creates physical and psychological risks while the manner of restarting sports activities is still under debate. In football, a few countries terminated their 2019-2020 league seasons (e.g. France and the Netherlands) whereas most federations, led by Germany, restarted their leagues, such as Italy, England, and Turkey. Mann et al. (2020) have asked “what a return to sport will look like after this pandemic”. After the initial shock, by the end of 2020, many sports had restored their competition schedules in line with “the new normal conditions”. Given these rapid developments, scientists need to understand athletes’ conditions as soon as possible, with one of the most important areas being psychological studies.

Numerous studies have investigated the relationship between personality traits and other psychological factors, such as anxiety, depression, and coping strategies. For example, anxiety and depression are generally considered to be correlated with personality traits (De Moor et al., 2006). Bolger and Eckenrode (1991) found that extraversion and neuroticism personality traits play an important role in major stressful events in relation to social support. Leandro and Castillo (2010) reported that neuroticism has different effects on coping strategies in men and women.

Regarding the COVID-19 pandemic specifically, Brouard et al. (2020) found that personality traits predict compliance with COVID-19 measures. Bacon and Corr (2020) concluded that “defensive personality traits are involved in concerns about the coronavirus”, while Carvalho et al. (2020) found that people with high extroversion scores experienced greater difficulty during the pandemic. Garbe et al. (2020) found that HEXACO personality traits influence redundant behavior during the pandemic. Specifically, people with high conscientiousness were more likely to stockpile toilet paper. Thus, understanding how different personality traits affect coping behavior during the pandemic can help in creating intervention programs based on individual needs.

The sports and exercise psychology literature has examined extroversion, openness, and agreeableness traits, although neuroticism (e.g. anxiety and depression) and conscientiousness (e.g. self-efficacy and competitiveness) traits are more frequently represented in terms of their associated characteristics (Laborde et al., 2019). Not all athletes can be expected to cope alike with the stress and anxiety caused by the COVID-19 pandemic. While a certain level of anxiety during this period is acceptable, high anxiety levels can affect life negatively (Pakpour & Griffiths, 2020). Given that athletes’ individual characteristics, especially personality traits, may influence levels of anxiety during this period, understanding their individual experiences and psychological responses may help to design better intervention programs.

Accordingly, this study had two aims: firstly, to investigate the impact of personality traits on athletes’ anxiety levels during the COVID-19 pandemic; secondly, to examine possible relationships between personality traits and athletes’ individual experiences of the pandemic, particularly the major stressor of postponing or cancelling sports competitions.



Due to the conditions of the lockdown period, the research sample was determined using convenience sampling. The 489 participants (321 men, 168 women) included individual and team athletes contacted through their coaches, accessed via the internet, at various national sports clubs. Participation was voluntary. Among the participants, 245 athletes reported that they compete at a professional level and 244 athletes at an amateur level in their specific sports disciplines. Mean age was 21.28 (SD = 5.42) and average competitive experience in years was 9.07 (SD = 5.31). The main sports represented were football (195 participants), volleyball (70), basketball (26), athletics (39), martial arts (70), shooting (27), with 62 from other disciplines (handball, gymnastics, swimming, underwater rugby, weightlifting, fencing, horse riding, bocce, orienteering, modern dancing, windsurf, kitesurfing, and curling). Regarding level, 115 (23.5%) athletes were from their sport’s highest league, 54 (11.0%) from the second league, 20 (4.1%) from the third league, 10 (2.0%) from the fourth league, 235 (48.1%) from lower leagues, and 55 (11.2%) without a league.


At the time of data collection, the athletes had been under home confinement for two months (depending on their city), in line with government decisions supported by Turkey’s National Scientific Advisory Board for the COVID-19 pandemic. All training and sports competitions had been canceled, alongside general national restrictions to keep individuals at home. Consequently, 341 athletes (74.3%) had done no field training with their coaches within the previous month. Data were collected using a COVID-19 impact questionnaire, the Big Five Inventory-35, and the State-Trait Anxiety Inventory (STAI). Data collection was announced to athletes by their coaches, and all questionnaires were administered via Google Forms between May 28, 2020 and June 1, 2020 in compliance with social distancing rules.


Big Five Inventory-35 (BFI-35). The Big Five Inventory-35, developed by Goldberg (1992) and adapted for Turkish samples by Tatar et al. (2019), asks participants to rate themselves in relation to 35 bipolar adjective pairs on a 5-point scale, ranging from 1 to 5 (very, some, middle, some, very). Each Big Five trait is represented by 7 items with clear factor structures (Tatar et al., 2019). In the present study, the BFI-35 Cronbach’s α internal consistency score was .80 for extroversion, .68 for agreeableness, .83 for conscientiousness, .65 for emotional stability, and .82 for intellect.

State-Trait Anxiety Inventory (STAI). The State-Trait Anxiety Inventory, developed by Spielberger et al. (1970) and adapted for Turkish samples by Öner and Le Compte (1985), measures both trait and state anxiety levels. Each STAI subscale has 20 items in a 4-point Likert format, ranging from 1 (none) to 4 (entirely). In the present study, the Cronbach’s α internal consistency scores were .90 for the state anxiety scale and .86 for trait anxiety scale.

COVID-19 Impact Questionnaire. This form, developed by the authors, asked background questions about age, gender, duration of competitive experience, league level, and marital status, and eight specific questions about COVID-19 experiences: 1) “How many times have you done field training with your coach in the past month?”; 2) “Does starting competitions soon make you nervous about being infected by coronavirus?” (yes or no options); 3) “Please mark your experience about the COVID-19 pandemic period” (options given with multiple responses allowed: “I got infected”; “My relatives got infected”; “My acquaintances got infected”; “Nobody I know got infected”; “I got tested for COVID-19”); 4) “How close do you think you may have been to any person infected with COVID-19?” (options given from 0 meters to 5 kilometers, and one for farther); 5) “How many people live in your household, including you?”; 6) “Did you experience a change in your relationship with your family or people close to you during the home confinement period?” (options given: “Positive change”; “Negative change”; “No change”); 7) “How worried are you or your family about being infected by the coronavirus?” (options given: “Extremely worried”; “Very worried”; “A little worried”; “Not worried”); 8) “Have you had difficulty spending your time at home during this period?” (yes or no options).


Multiple regression analyses were used to examine the variation in STAI scores in relation to BFI-35 scores. Before conducting the analyses, checks for autocorrelation between the predictor variables showed that no correlation coefficients were higher than .80. Pearson correlation scores ranged between .35 and .71. The Durbin-Watson (DW) scores for the first analysis (state anxiety) were 1.93 and 1.96 for trait anxiety. According to Field (2009), DW scores closer to 2 mean that the residuals of the model are uncorrelated. To avoid extreme values, Mahalanobis distance values were calculated for each case, which excluded 13 cases with residual values higher than 25. Variance inflation factors (VIF) ranged between 1.01 and 3.17 while TOL scores ranged from .31 to .94. These ranges were within the acceptable regression diagnostic values (Mason & Perreault, 1991). All trait anxiety and state anxiety scores were all significantly (at the .001 level) negatively correlated with personality trait scores, ranging from –.29 to –.59. Kerlinger (1973) recommends higher correlations between independent and dependent variables in regression analyses. The second statistical approach used ANOVA model statistics for grouping variables between personality traits. The ANOVA results are presented with the partial η2 scores (Brown, 2008) representing the effect size. Scheffé post-hoc analyses were used to differentiate the subgroups’ mean difference values. Levene’s homogeneity of variance scores were also checked. When homogeneity was violated, Welch test scores were used instead of F test results.


Regarding the general COVID-19 questionnaire, the participants reported the following experiences. Only 30 athletes (6.1%) had been tested for COVID-19. Only 3 athletes reported being infected (0.6%) while 17 family members had been infected (3.6%) and 65 acquaintances (13.6%). Most (393 athletes, 82.2%) reported that nobody they knew had been infected. Thus, 17.8% of the athletes had either direct or indirect experience of COVID-19 infection.

The household sizes were distributed as follows: 1 person 15 (3.1%), 2 persons 50 (10.2%), 3 persons 101 (20.6%), 4 persons 189 (38.6%), 5 persons 94 (19.2%), 6 persons 26 (5.3%), 7 persons 11 (2.2%), 8 persons 2 (0.4%), 9 persons 1 (0.2%). The participants gave the following estimations of how close they may have been to an infected person: 104 athletes (21.3%) within 0-100 meters, 78 (15.9%) within 500 meters, 87 (17.8%) within 1 kilometer, 60 athletes (12.5%) within 5 kilometers, 159 (32.5%) over 5 kilometers. Thus, one in five athletes believe that an infected person may have been within 100 meters while one in three thinks that infected people could have been within 5 kilometers. If competitions were to restart soon, 297 athletes (60.7%) were worried about COVID-19 whereas 192 athletes (39.3%) were not.

Table 1 shows the means and standard deviations of the main variables broken down by gender. The mean age and years of competitive experience of female athletes were slightly higher than those of the male athletes. In addition, the mean trait anxiety and agreeableness scores of female athletes were higher than the men’s.

Table 1

Descriptive statistics of main variables by gender

GenderNMinMaxM (SD)
AgeMen321153920.60 (5.60)
Women168153422.60 (4.79)
Competitive experienceMen3211258.27 (4.95)
Women16812810.57 (5.64)
ExtroversionMen32183526.00 (4.87)
Women168103526.57 (5.21)
AgreeablenessMen32193526.74 (4.19)
Women168133528.14 (4.25)
ConscientiousnessMen32173528.02 (4.84)
Women16883528.95 (4.95)
Emotional stabilityMen32193523.37 (4.37)
Women16883323.05 (4.37)
IntellectMen32173529.11 (4.21)
Women168113529.64 (4.46)
Trait anxietyMen321206539.24 (7.90)
Women168207041.53 (9.17)
State anxietyMen321236538.64 (9.21)
Women168227238.58 (9.87)

The regression results for state anxiety, presented in Table 2, show that the model was significant at the .05 level. The predictor variables explained 28% of the variance in the athletes’ state anxiety scores. Emotional stability and extroversion scores were strong negative predictors of state anxiety. That is, athletes with high emotional stability and extroversion scores tended to have lower state anxiety scores. Age also significantly negatively predicted state anxiety. That is, older athletes tended to have lower state anxiety scores.

Table 2

Regression analysis (dependent variable: state anxiety)

State anxietybSE bβ
Emotional stability–.80.10–.37***

[i] Note. R2 = .29; ΔR2 = .28 (p < .05); *p < .05, ***p < .001.

The regression analysis results for trait anxiety, presented in Table 3, show that this model was also significant at the .05 level. The predictor personality variables explained 43% of the variance in the athletes’ trait anxiety scores. Emotional stability, extroversion, and conscientiousness all significantly negatively predicted trait anxiety, whereas agreeableness was a positive predictor. That is, athletes with high emotional stability, extroversion, and conscientiousness tended to have lower trait anxiety scores while athletes with high agreeableness tended to have higher trait anxiety scores. Gender also predicted trait anxiety at the .001 level.

Table 3

Regression analysis (dependent variable: trait anxiety)

Trait anxietybSE bβ
Emotional stability–.90.08–.46***

[i] Note. R2 = .44; ΔR2 = .43 (p < .05); **p < .01, ***p < .001.

Table 4 shows the ANOVA results for trait and state anxiety scores. Marital status had a significant effect on state anxiety. Single athletes had the highest state anxiety levels while married athletes had the lowest. Regarding their experiences of home confinement, athletes who perceived a negative change in their relationship with their close relatives had significantly higher trait and state anxiety levels than those reporting either no change or a positive change. In addition, athletes who reported difficulty staying at home reported significantly higher trait and state anxiety levels. Regarding fear of COVID-19, athletes who expressed greater fear had significantly higher trait anxiety levels than athletes in lower fear groups. However, the Scheffé post-hoc test did not discriminate any significance across the groups, so these ANOVA results were not confirmed. Regarding gender, women athletes’ trait anxiety levels were significantly higher than men’s, whereas there was no significant difference in state anxiety scores.

Table 4

ANOVA results for state and trait anxiety scores

Grouping variableNState anxietyTrait anxiety
M (SD)F(W)pη2M (SD)F(W)pη2
Marital status
  Married5134.67 (8.88)F(1, 487) = 10.20< .001.0238.33 (8.35)F(1, 487) =
  Single, in a relationship13038.66 (9.98)40.69 (8.75)
  Single, not in a relationship30839.26 (9.15)40.03 (8.28)
Relationship change with relatives
  No change26837.96 (8.75)F(2, 486) = 16.70< .001.0639.18 (8.31)F(2, 486) = 12.82< .001.05
  Changed positively13736.77 (9.58)39.15 (7.72)
  Changed negatively8443.75 (9.65)44.17 (8.74)
Difficulty spending time at home
  Yes23142.03 (9.09)F(1, 487) = 64.69< .001.1242.58 (7.93)F(1, 487) = 43.77< .001.08
  No25835.57 (8.67)37.74 (8.21)
Fear of COVID-19 infection
  Extremely worried11340.05 (10.11)F(3, 485) = (8.66)F(3, 485) =
  Very worried10638.60 (10.15)40.50 (8.06)
  A little worried20338.16 (8.26)39.36 (7.95)
  Not worried6737.64 (10.32)38.27 (9.47)
  Women16838.58 (9.87)F(1, 487) = 0.00.945.0041.53 (9.17)F(1, 487) =
  Men32138.64 (9.21)39.24 (7.91)

Regarding the pandemic’s effects on relationships (Table 5), about half (54.8%) of the athletes perceived no relationship change, 28% perceived a positive relationship change, and 17.2% perceived a negative change. The ANOVA results indicate that athletes reporting a negative relationship change had significantly lower agreeableness, conscientiousness, and emotional stability scores than athletes in the no change group and positive change groups at the .001 level. Scheffé post-hoc analyses revealed that agreeableness scores for the positive relationship change group were significantly higher than scores for the other two groups. The conscientiousness scores of the negative change group were significantly lower than those of the positive relationship change group. Athletes who perceived a negative change in their family relationship had significantly lower emotional stability scores than the other two groups. These results provide an opportunity to interpret how personality type affects personal relationships under extraordinary situations.

Table 5

ANOVA results of personality trait scores for athletes’ perceived relationship change with relatives

Relationship change with relativesNM (SD)F(W)pη2
ExtroversionNo change26826.17 (4.98)F(2, 486) =
Changed positively13726.70 (4.86)
Changed negatively8425.51 (5.22)
AgreeablenessNo change26827.00 (4.20)F(2, 486) = 6.97< .001.03
Changed positively13728.28 (3.98)
Changed negatively8426.23 (4.62)
ConscientiousnessNo change26828.41 (4.76)F(2, 486) =
Changed positively13729.09 (4.55)
Changed negatively8426.92 (5.56)
Emotional stabilityNo change26823.68 (4.29)F(2, 486) = 13.03< .001.05
Changed positively13723.78 (3.49)
Changed negatively8421.11 (5.23)
IntellectNo change26829.35 (4.33)F(2, 486) = 0.42.653.00
Changed positively13729.42 (3.71)
Changed negatively8428.90 (5.09)

Difficulty in spending time at home during the COVID-19 pandemic was also significantly related to all five personality traits (Table 6). Athletes who perceived no difficulty staying at home had significantly higher extroversion, agreeableness, conscientiousness, emotional stability, and intellect scores than athletes who experienced difficulties.

Table 6

ANOVA results of personality trait scores for perceived difficulty spending time at home

Difficulty spending time at homeNM (SD)F(W)pη2
ExtroversionYes23125.22 (5.00)F(1, 487) = 17.72< .001.04
No25827.09 (4.83)
AgreeablenessYes23126.29 (4.44)F(1, 487) = 21.93< .001.04
No25828.06 (3.93)
ConscientiousnessYes23127.12 (5.36)F(1, 487) = 29.16< .001.06
No25829.44 (4.15)
Emotional StabilityYes23122.13 (4.45)F(1, 487) = 31.29< .001.06
No25824.28 (4.05)
IntellectYes23128.60 (4.66)F(1, 487) = 11.56< .001.02
No25829.91 (3.87)


This study showed that personality traits can affect athletes’ anxiety levels and experiences during COVID-19 pandemic restrictions, while experiences and certain demographic characteristics can also increase anxiety. These results can help when creating programs for sports psychologists working with athletes during uncertain pandemic situations or similar challenging conditions.

In our study, both extraversion and emotional stability influenced athletes’ state anxiety levels during home confinement, with introverted and neurotic athletes more likely to experience higher state anxiety. Similarly, Clemente-Suárez et al. (2020) found that neuroticism in Olympic athletes is associated with negative feelings about confinement whereas the extraversion trait is negatively associated with anxiety. Extraversion is often associated with positive emotions and energetic, pleasant, warm social behaviors (Costa & McCrae, 1980; Laborde et al., 2019), whereas neuroticism is associated with unpleasant emotions such as anxiety, anger, or depression (Laborde et al., 2019). Extraversion can contribute to enjoying life or happiness even if unpleasant conditions cannot be changed, whereas neuroticism may increase an individual’s suffering in the face of unfortunate situations (Costa & McCrae, 1980). Furthermore, Nowakowska (2020) found that emotional stability and extroversion are significant predictors of low loneliness during the COVID-19 social distancing period. Thus, extraversion and emotional stability may help individuals overcome the COVID-19 home confinement phase, which is a very challenging period. Age also affected state anxiety in this study. Adolescents/teenagers, who tend to feel emotions more intensely, may find it harder to be confined to their homes with parental attention during home confinement (Saho et al., 2020). This can create tensions that increase youngsters’ state anxiety level.

In our study, low extroversion, conscientiousness, and emotional stability were all associated with higher trait anxiety. Karsten et al. (2012) also found that anxiety and depression disorders are associated with low conscientiousness and extraversion, and high neuroticism. Recovery from these disorders is associated with high conscientiousness and extraversion, and low neuroticism. Trait anxiety is often associated with neuroticism (Laborde et al., 2019), which is the opposite of emotional stability. That is, individuals with high emotional stability may have lower levels of trait anxiety. Traits that overlap with agreeableness and openness do not seem to be represented in sports and exercise psychology research as much as neuroticism and conscientiousness (Laborde et al., 2019). The unexpected effect of agreeableness on trait anxiety in the present study may reflect the legal limitations of the current extraordinary pandemic period. Indeed, Abdelrahman (2020) reported that individuals with high agreeableness show less compliance with social distancing rules during the COVID-19 pandemic as they generally wish to participate in social activities.

This study also shows that state and trait anxiety, and personality traits also affected participants’ responses to questions regarding the COVID-19 pandemic period. Married athletes had lower state anxiety than single athletes, suggesting that it may be easier to share the difficulties of COVID-19 confinement when confined with a spouse. Being single is associated with higher stress in many domains, which in turn increases anxiety (Ta et al., 2017). Similarly, Sareshkeh and Bakhshalipour (2018) found that married athlete students had better mental health and social function than singles, and lower depression and fewer somatic symptoms Finally, Šljivo et al. (2020) recently reported that those who are older, single, female, or have moderate to severe depressive symptoms fear COVID-19 more.

In our study, state anxiety was higher in athletes whose relationships with their closest relatives were negatively affected during the pandemic. During highly stressful periods, social interaction through contacts with friends, neighbors, and various hobby groups, and perceived support can reduce state anxiety (Bolger & Eckenrode, 1991). During the isolation period, athletes were unable to train or compete, or communicate in person with coaches and other athletes. Thus, they had insufficient activity and were isolated, which can harm the physical and mental state of athletes (Jukic et al., 2020). Since athletes were deprived of these connections, their anxiety levels were higher and their close relationships may have been damaged. An athlete with high trait anxiety may be more likely to experience negative effects in close relationships. Furthermore, given that athletes whose relationships were harmed during the lockdown have lower emotional stability, conscientiousness, and agreeableness, it implies that these traits may also affect close relationships. Related to this, Blagov (2020) found that conscientiousness and agreeableness are associated with more adaptive behaviors in obeying rules during the current pandemic whereas dark traits (e.g. psychopathy, meanness, disinhibition) are associated with lower compliance with healthy behaviors. Thus, these traits may also contribute to more harmonious relationships.

The postponements or cancellations of sports events and training have created many problems for athletes generally while they “are no longer able to follow their normal training schedules” (Lamberts & Gomez-Ezeiza, 2020). One of the most important issues facing athletes during home confinement, who are very active in their normal life, is finding ways to pass their time. As the present study showed, athletes who reported difficulty spending time at home had higher state anxiety levels. Thus, it is critical to plan the time spent at home effectively. As Ustun (2020) showed, individuals who spend time with their families during the COVID-19 pandemic and are busy with educational or work programs have lower depression scores. It should also be noted that the athletes who reported difficulty spending time at home also have high trait anxiety, which may indicate that high trait anxiety makes people less able to cope with such challenging conditions.

Regarding Big Five personality traits, the athletes in our study who reported difficulty spending time at home had lower scores in all traits (extroversion, agreeableness, conscientiousness, emotional stability, and intellect), which indicates that personality may also affect the quality of time spent at home. Although sports psychologists working with Olympic candidates during the pandemic period have offered a wide variety of suggestions, they emphasize the importance of open communication about the athletes’ thoughts and feelings (Schinke et al., 2020). Within this open communication environment, they recommend that consultants consider the athletes’ personality traits to determine more clearly what they are experiencing so as to choose the appropriate intervention methods.

Some athletes can develop strategies to deal with months of confinement, whereas others cannot cope, resulting in increased anxiety and stress that can devastate their daily lives (Pakpour & Griffiths, 2020). Predictably, those athletes who reported being extremely afraid of COVID-19 infection for themselves or their relatives had high trait anxiety. Similarly, Ustun (2020) found that people who are afraid of COVID-19 infection and infecting others also report obsessive cleanliness, future anxiety, and sadness, which in turn are associated with midlevel depression symptoms. Most of the athletes participating in the study believed that there were infected people in their neighborhood even if they did not know of anyone who had been infected around them. They were also concerned about infection if competitions started soon. These findings highlight the importance of managing anxiety levels and for consultants to provide psychological support to athletes during this period.

Regarding gender, the pandemic period seems likely to have had a greater psychological impact on women than men, as the women athletes in this study had higher trait anxiety, as also reported with college swimmers (Tobar, 2012). Women in Turkey also had higher anxiety and depression during the COVID-19 pandemic (Özdin & Bayrak Özdin, 2020). Similarly, di Fronso et al. (2020) found higher perceived stress in female athletes during the COVID-19 pandemic. Pons et al. (2020) reported that the COVID-19 lockdown had negatively affected athletes in general, but female athletes more. However, we should also note that female athletes may use different coping strategies (Nicholls & Polman, 2007) despite their high levels of anxiety.

The mean STAI scores in the current study are somewhat higher than those from other anxiety studies conducted with athletes before the COVID-19 pandemic. For example, Küçük and Erbaş (2012) reported a mean state anxiety score of 30.46 for elite male basketball players in Turkey; Ivaskevych et al. (2020) reported a score of 36.00 for Ukrainian national woman handball players; Kaplan et al. (2008) reported state anxiety scores for university futsal players of 30.86 before and 25.82 after a tournament. In contrast, Çağlar (1999) reported a mean state anxiety score of 38.29 for Turkish elite male junior handball players five days before a competition, which is closer to our findings during the COVID-19 pandemic of 38.64 in men and 38.58 in women athletes.


The current study’s findings have implications for psychological assessment and interventions with athletes during the COVID-19 pandemic. More specifically, their personality plays an important role in the effects of the COVID-19 period when sporting events were mostly postponed or cancelled. High emotional stability, extraversion, and conscientiousness help reduce anxiety during the pandemic while high agreeableness, conscientiousness, and emotional stability may help athletes maintain positive relationships.

With its global consequences, the COVID-19 pandemic has affected athletes and the sports community as well, increasing the importance of providing psychological support for athletes during and after this uncertain period. Athletes may be affected in various ways depending on their individual differences. The study’s results indicate that the personality traits should be considered when preparing programs for athletes. In addition, marital status and close relationships play an important role in dealing with this period. Thus, considering such issues related to the athletes’ private lives can help practitioners determine appropriate intervention methods. Furthermore, personality traits can be examined in terms of their effects on specific variables. Following the break due to the COVID-19 pandemic, some sports have restarted competitions. We recommend conducting studies on the experiences, mental state, and performance of these athletes.