Abstract
Objectives: The impact of the spread of COVID -19 on the mental health and its mitigating
factors of high school athletes is not fully understood. The aims of this study were 1) to
describe the psychological distress and stressors experienced by high school athletes during
the COVID-19 pandemic and to elucidate the relationships between them and 2) to determine
the relationship between psychological distress and social support.
Methods
Participants of this cross-sectional study were recruited from public high schools in
East Japan. We conducted either an online or paper-based questionnaire survey from July 12
to 31, 2020 , and used data collected from 3017 high school student athletes (valid response
rate: 88.7%) for the analyses. We evaluated psychological distress (K6 ≥10), stressors to
athletes during the COVID-19 pandemic (SAC-19), and perceived social support from others.
Logistic regression analysis was used to calculate odds ratios (OR) and 95% confidence
intervals (CI) for developing psychological distress.
Results
Among the participants, 764 (25.3 %) experienced psychological distress. Among the
five factors extracted from the SAC -19, self -restraint requests (OR = 1.03, 95% CI: 1.01 –
1.04), pressure from the surrounding environment ( OR = 1.15, 95% CI: 1.12–1.18), and
difficulties in maintaining athle tic activities ( OR = 1.16, 95% CI: 1.12–1.21) increased the
risk of psychological distress. On the other hand, participants who were satisfied with the
support from family members ( OR = 0.77, 95% CI: 0.67–0.90), teammates (the same grade)
(OR = 0.81, 95% CI: 0.67–0.98), and coaches and instructors (OR = 0.77, 95% CI: 0.65–0.91)
showed lower psychological distress.
Conclusions
During the COVID -19 pandemic, high school athletes experienced more
psychological distress than usual . Stressors such as self -restraint requests, pressure from the
surrounding environment, and difficulties in maintaining athletic activities increase d the risk.
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3
On the other hand, social support from family members, teammates (the same grade), and
coaches and instructors can help alleviate these stressors.
Keywords
psychological distress, stress response, stress management, sport psychology, club
activities
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1. Introduction
On February 27, 2020, due to the spread of COVID-19, the Japanese government
mandated all elementary, junior high, and high schools in the country to close temporarily.
Later, on April 16, a nationwide state of emergency was declared due to the rising COVID-19
cases. Children were th us forced to remain at home and suspend their athletic activities for
approximately 3 months. Additionally, the various competitions they were eagerly awaiting
were cancelled. Therefore, these pandemic-related changes had an impact on their physical
and mental health.
The National Center for Child Health and Development1 report that during the pandemic,
42% of Japanese high school students experienced recent difficulty in concentrating, 32% had
not exercised at least once in the past week, and 26% found that their waking and sleeping
hours had shifted by more than 2 hours. These indicate that they were experiencing stress
reactions and disruptions in the rhythm of their lives. In addition, Aoki 2 stated that high
school athletes identify club activities as the core and purpose of their lives and are thus
crucial determinants of their adjustment and satisfaction in school life. Furthermore, Japanese
university students who continue to participate in sports clubs and circles tend ed to have
higher stress -coping abilit ies and lower psychological distress 3. Moreover, connect ing with
others when feeling stressed is considered important to mental health; social support is
believed to act as a buffer to mitigate the negative effects of high stress4.
Since the outbreak of COVID-19, small -scale school -based surveys of the attitudes of
high school athletes have been conducted 5; however, there have been no large -scale ones
assessing for stressors, psychological distress, and stress reactions among high school athletes.
Furthermore, research is required to examine what kind of support high school athletes are
satisfied with and whether this support alleviate psychological distress and stress responses in
situations such as the pandemic.
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The purpose of this study is twofold: to understand the psychological distress and
stressors experienced by high school athletes during the COVID -19 pandemic and explain the
relationship between them ; and, to determine the relationship between psychological distress
and the level of satisfaction with social support.
Although COVID-19 vaccinations are now available, and certain results have been
confirmed regarding the infection, some experts believe that inf ection prevention practices
may continue for several years. Thus, in today’s society, it is important to understand
children’s actual state of stress and create strategies to address it in the event of another
pandemic, as well as various health crises and large-scale disasters.
2. Methods
2.1. Study design and participants
This cross-sectional study recruited participants from public high schools in East
Japan. High school students enrolled in the extracurricular activity club who provided
consented complete the questionnaires (n = 3400; male = 1798; female = 1293). We explained
the aims and methods of the study and obtained permission to conduct the survey from the
representatives of each school. Additionally, participants were given a digital letter containing
a brief description of the study and reassurance of their unrestricted freedom to withdraw
participation. The survey was completed either online or using a paper-based questionnaire
from July 12 to 31, 2020. Questionnaires with invalid responses, and data from non-athletes
were excluded. Thus, data from a final total of 3017 high school student athletes (ages: 15–18
years) were included in the analyses for this study (valid response rate: 88.7%). The present
study was approved by the ethics committee of the university with which the last author of
this study is affiliated (Approval No. 20-10).
2.2. Measures
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(1) Demographic information
Data on sex, school grade, type of sport played (racket sports, ball games, budo and
martial arts, individual sports [e.g., track and field], or dance), and competitive level (regional,
prefecture [entry], or prefecture [winners] or higher) were collected.
(2) Psychological distress
K6, a scale that measures the degree of mental health problems, was originally
developed in English by Kessler et al.6, and translated into Japanese by Furukawa et al.7 K6 is
often used as a screening test for distress experienced in various contexts. The participants
rated their perceived stress level within the last 3 months on a 5-point Likert scale ranging
from 0 (not all) to 4 (very often). The total possible score ranges within 0–24 points; the
higher the score, the worse the individual’s mental health. According to the literature8,9, a
total score of 10+ on the K6 indicates a risk of mood and anxiety disorders. Therefore, the
primary outcome of the present study was set based on this cutoff point.
(3) Stress Response Scale for Athletes
We used the Stress Response Scale for Athletes developed by Kemuriyama10 as a
supplementary outcome of the current study. This scale has five dimensions consisting of 15
items: physical fatigue, apathy, anger, interpersonal distrust, and depression. Participants were
asked to recall the frequency of experiencing a stress response during the past 3 months and
rated this on a 5-point Likert scale ranging from 1 (not at all) to 5 (very often). A higher score
indicates a higher level of stress response.
(4) Stressors for athletes during the COVID-19 pandemic
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Since no standardized tools are available to assess the pandemic related stressors
experienced by student athletes, the stressors for athletes during the COVID-19 pandemic
(SAC-19) scale was developed for this study based on previous reports on the stressors or
issues faced by athletes or those participating in sports during the COVID-19 pandemic (e.g.,
National Collegiate Athletic Association Report [NCAA]11). The scale consists of 16 items,
including stressors related to school (e.g., lack of opportunities to meet classmates), the home
(e.g., financial issues within the family), and sporting activities (e.g., cancellation or
suspension of competitions). Participants rated the items on a 5-point Likert scale ranging
from 1 (not at all) to 5 (very often); the total score ranges from 16 to 80.
(5) Social support for athletes during the COVID-19 pandemic
Perceived social support consists of six items measuring satisfaction with the support
received from 1) family, 2) classmates and friends, 3) teachers, 4) same grade teammates, 5)
teammates from other grades, and 6) coaches and instructors during the COVID-19 pandemic.
Participants rated these items on a 5-point Likert scale ranging from 1 (not at all satisfied) to 5
(very satisfied) based on the past 3 months. We dichotomized scores of 4 and 5 as “satisfied”
(1) and scores of 1 to 3 as “not satisfied” (0).
2.3. Statistical analysis
We performed descriptive statistical analysis of the participants according to sex,
competitive level, and school grades. The unpaired t-test and one-way analysis of variance
were used to compare continuous variables, whereas the chi-square test was used for
categorical variables. We conducted exploratory factor analysis using the maximum
likelihood method and oblimin rotation to examine the factorability of the SAC-19. We
determined the number of factors using a scree plot and assessed the internal consistency by
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calculating the Cronbach’s alpha coefficient. We performed multivariable Poisson regression
analysis to examine the association of demographic characteristics, stressors for athletes, and
social support with psychological distress (K6 ≥ 10). When the incidence of an outcome of
interest is common in the study population (>10%), the adjusted odds ratio derived from the
logistic regression can no longer approximate the risk ratio12. The prevalence of psychological
distress in the present study was 25.3%; therefore, we applied Poisson regression and
calculated the prevalence ratio (PR) and its 95% confidence interval (CI). Three models were
included the following: Model 1, demographic characteristics (sex, school grade, type of
sports, and competitive level); Model 2, Model 1 + each factor of the SAC-19; and Model 3,
Model 2 + social support. As a sensitivity analysis, we performed multiple regression analysis
with the total score of the Stress Response Scale for Athletes as an outcome and constructing
the same three models. Stata/MP 16.1 (StataCorp, College Station, TX, USA) was used to
calculate descriptive statistics and performing multivariable regression analyses, with P <.05
indicating statistical significance. SAS 9.4 software (SAS Institute Inc., Cary, NC, USA) was
used for the exploratory factor analysis.
3. Results
Table 1 presents the descriptive characteristics of the participants. Among the 3017
participants, 764 (25.3%) experienced psychological distress. Approximately 60% to 70% of
the participants were satisfied with each type of social support. Exploratory factor analysis of
SAC-19 indicated five factors composed of the 16 variables (Table 2). They were labeled
“restriction on sport activities (F1),” “self-restraint request (F2),” “fear of exposure to
COVID-19 (F3),” “pressure from the surrounding environment (F4),” and “difficulties in
maintaining athletic activities (F5).” The Cronbach’s alpha coefficients were 0.92, 0.83, 0.87,
0.55, and 0.68 for F1, F2, F3, F4, and F5, respectively. Furthermore, the coefficient for the
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overall scale was 0.91, thus indicating the adequate internal consistency of the scale. Female
participants scored higher on the Stress Response Scale for Athletes, as well as on F2 and F3
components of the SAC-19 (Supplementary Table 1). Those with higher competitive levels
had higher scores in F1, F2, F4, and F5 (Supplementary Table 2). Psychological distress,
stress response, F1, F2, F4, and F5 were more prevalent among students from higher school
grades (Supplementary Table 3).
Table 3 shows the results of the multivariable Poisson regression analysis elucidating
the association of demographic characteristics, stressors for athletes, and social support with
psychological distress. In Model 1, the prevalence of psychological distress was higher in 2nd
and 3rd grade students than 1st grade students, and lower for participants at the prefecture
competition (entry) level than those at the regional competition level. In Model 2, F4 and F5
were positively associated with psychological distress, whereas F1 was negatively associated.
Model 3, which introduced social support, showed that participants who were satisfied with
the support from family members, teammates (the same grade), and coaches and instructors
had a lower frequency of psychological distress than those who did not. Similar results were
obtained from the sensitivity analysis using the Stress Response Scale for Athletes as an
outcome (Supplementary Table 4).
4. Discussion
In this study, we assessed the relationship between psychological distress and stressor
status among high school athletes during the COVID -19 pandemic. We then examined
whether the psychological distress status differed depending on the level of satisfacti on with
support from the surrounding environment. The results showed that approximately 25% of the
participants experienced strong psychological distress. The risk was increased by the
following stressors: s elf-restraint request, pressure from the surrounding environment, and
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difficulties in maintaining athletic activities. Meanwhile, those who were satisfied with
support received from family members, teammates (the same grade), and coaches and
instructors showed lower psychological distress.
4.1. Psychological distress faced by high school athlete during the COVID-19 pandemic
Our findings point to the serious deterioration of mental health among high school
student athletes due to the pandemic. In a survey conducted before the pandemic with
participants in a similar age group (12–19 years)13, 7.8% of the participants scored 10+ points
on the K6 score, while 25.3% of the sample scored it in the current study. Thus, the need for
providing care and support to high school student athletes is evident.
The pandemic has created numerous challenges for elite athletes 14 and for the world of
sport in general 15,16. According to the Athlete 365 survey findings 17, athletes reported facing
challenges in keeping up with regular effective training and in staying motivated. Managing
their mental health and sporting careers were reported as challenges. Financial concerns
associated with continuing their sporting career s were also reported as a critical issue,
especially for elite athletes. Not only in elite sport s, but also athletes across a wide range of
categories faced such difficulties due to the pandemic-related restrictions. Similarly, the
temporary closure of hig h schools and restrictions on training duration for sporting activities
led to stress and difficulty for high school student athletes.
4.2. Stressors to athletes during the COVID-19 pandemic
The SAC-19, which was mainly developed for this study, was divided into factors as
expected, and the Cronbach ’s alpha was sufficiently high, indicating acceptable internal
consistency. Regarding sex differences, female athletes had higher stress scores with self-
restraint request (F2) and fear of exposure to COVID -19 (F3) than male athletes . According
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to the Ministry of Health, Labour and Welfare ’s patient survey 18, the number of depressed
patients was higher among females in all age groups , ranging from teens to 80s. The NCAA
survey11 also reported that female athletes were more concerned than male athletes of
approximately 9 out of 10 mental health concerns, and the results of the present study support
this. The higher the school grades and competition level s, the more significant the stress ors
for the restriction of athletic activities (F1), self -restrained life (F2), pressure from the
surrounding environment (F4), and difficulties in maintaining athletic activities (F5).
Normally, the higher the school grades and competition level s, the more opportunities to
participate and play an active role in competitions. This situation could lead to higher self-
expectations. In addition, for 3rd grade students, there may be a relat ion to the influence of
competition results on their career paths.
4.3. Relationship of psychological distress with stressors and demographic characteristics
Self-restraint request (F2) was associated with high level of psychological distress.
With the cessation of sports activities, the participants had more time to spare but were unable
to go out or meet with friends. Living at home for a long time must have been boring and
stressful. In the same way, the pressure from the surrounding environment (F4) and
difficulties in maintaining athletic activities (F5) were positively associated with
psychological distress, which is in line with our hypothesis. The NCAA survey11 also reported
that family financial situations negatively affected the mental health of athletes.
Meanwhile, restriction on sport activities (F1) was inversely related to psychological
distress. Although elucidating the reasons is difficult, high school -age students have various
interests other than academics and sports. The suspension of activities possibly created a
sense of freedom from sports fo r a while. However, no significant association was found
between psychological distress and fear of exposure to COVID -19 (F3), which may be
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because COVID-19 is not easily transmitted to young people, and , even when infected, it is
not likely going to be serious ; additionally, few people of the same generation in their
surroundings were infected.
We observed that the prevalence of psychological distress was higher among those in
higher school grades . This can be attributed t o the same reasons mentioned above. No
significant differences were found between the types of sports. Before the survey, we
speculated that contact sports, which are risk factors for COVID -19, might have a large
impact. However, all sports regardless of the type would have been affected in a similar
manner. For c ompetition level, we hypothesized that the higher the competition level, the
greater the impact on psychological distress, however, no difference was found. Motivation to
engage in sports is highly individualized, and probably many factors other than the level of
competition exist; this requires further research.
4.4. Relationship between psychological distress and social support
Previous studies of college athletes during the COVI D-19 pandemic have reported that
social support from teammates was positively associated with mental health 19,20. We also
found that social support from teammates, especially from the same grade, is expected to be
effective, whereas support from the surrounding adults, such as family members and coaches
and instructors, is also important. During the self -restraint period, the students spent a lot of
time with their family members, indicating that they felt pressure from their families in some
areas but that they trusted them. In addition, teammates seemed to provide a space for them to
share their anxieties and worries. Many of the coaches and instructors supported the students
during the self -restraint period by meeting online and sending text messages21. This kind of
support from people with close ties to the respondents seemed to be effective.
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4.5. Strengths and limitations
The strength of the current study was the use of data from a large-scale survey of high
school athletes during the COVID-19 pandemic. This is not only the first survey in Japan, but
also provide valuable data that are applicable worldwide. However, this study has several
limitations. First, generalizability is not sufficiently high. The survey was conducted in a
relatively limited area in Japan, and since the infection status and behaviora l restrictions
differed depending on the period, the results possibly differed depending on the survey
conditions. Furthermore, restrictions on activities may differ depending on the school, and the
extent to which the activities were restricted is unknown . Second, the cross-sectional study
design d oes not allow for a discussion of causal relationships . Third, the criterion -related
validity of the SAC -19 against the gold standard items were not confirmed in advance
because emphasi s was placed on conducting a rapid investigation. However, the internal
consistency was acceptable, and the results that were in line with our hypotheses were
confirmed in the current study; therefore, this might not be a major limitation.
5. Conclusions
During the COVID -19 pandemic, approximately 25% of high school athletes
experienced stronger psychological distress than usual. Stressors such as self-restraint request,
pressure from the surrounding environment, and difficulties in maintaining athletic ac tivities
increased the risk . Social support from family members, teammates (the same grade) , and
coaches and instructors alleviated these stressors.
A study conducted by Marani et al.22 shows that pandemics such as COVID-19 are not
rare and may occur more frequently in the future. The probability of a pandemic having the
same impact as COVID-19 is approximately 2% per year. In addition to pandemics, large-
scale disasters are not uncommon in Japan. This study provides an i mportant basis for
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understanding how young athletes are stressed and their individual and social support needs
for coping in such emergencies.
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Japanese Student -Athletes during the COVID -19 Pandemic. International Journal of
Environmental Research and Public Health, 18(13), 7032.
21. Terada, M. (2021). Coaching for three days from activity voluntary restraint due to
COVID-19 in K University Football Club. Kinki University Center for Liberal Arts and
Foreign Language Education journal,11-1:13-30. (In Japanese)
22. Marani, M., Katul, G. G., Pan, W. K., and Parolarim A. J. (2021). Intensity and frequency
of extreme novel epidemics. Proceedings of the National Academy of Sciences 2021 118 (35)
e2105482118.
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Table 1. Descriptive characteristics of the participants (n = 3017)
Variables
Sex (n, %)
Male 1726 57.2%
Female 1291 42.8%
School grade (n, %)
1st grade 1274 42.2%
2nd grade 1221 40.5%
3rd grade 522 17.3%
Type of sports (n, %)
Racket sports 882 29.2%
Ball games 1310 43.4%
Budo and martial arts 216 7.2%
Individual sports (e.g., track and field) 569 18.9%
Dance 40 1.3%
Competitive level (n, %)
Regional 1253 41.5%
Prefecture (entry) 1120 37.1%
Prefecture (winners) or higher 644 21.3%
Psychological distress (n, %)
Kessler-6 score ≥10 764 25.3%
Stress response (mean, SD)
Stress Response Scale for Athletes 65.5 21.0
SAC-19 (mean, SD)
Restriction on sport activities 16.4 7.3
Self-restraint request 11.7 4.5
Fear of exposure to COVID-19 7.3 3.3
Pressure from the surrounding environment 6.3 2.5
Difficulties in maintaining athletic activities 5.1 2.2
Social support, satisfied (n, %)
Familiy 2143 71.0%
Classmates and friends 2181 72.3%
Teachers 1767 58.6%
Teammates (the same grade) 2157 71.5%
Teammates (other grades) 2098 69.5%
Coaches and instructors 1914 63.4%
SAC-19: Stressors for Athletes during the COVID-19 pandemic.
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Table 2. Exploratory factor analysis for the Stressors for Athletes during the COVID-19 pandemic
No. F1 F2 F3 F4 F5
11 Unable to get or limited access to usual facilities or materials for training 0.93 −0.03 0.00 −0.11 0.11
12 Unable to get or limited access to people to practice with 0.83 0.01 0.00 0.08 0.00
10 Unable to get or limited access to training facilities 0.82 0.11 0.02 0.01 −0.04
13 Unable to get or limited access to advice from a coach 0.72 −0.01 −0.01 0.17 0.01
9 Cancellations or postponement of target competitions or games 0.55 0.14 0.07 0.19 −0.07
1 Prolonged temporary school closure 0.04 0.92 −0.08 −0.05 −0.01
6 Prolonged request to stay home 0.03 0.81 0.06 −0.03 0.05
2 Unable to get or limited access to friends or classmates 0.03 0.62 0.06 0.03 −0.03
3 Unable to foresee how things turn out −0.08 0.41 0.04 0.18 0.19
4 Anxious of being infected with the coronavirus −0.04 0.01 0.93 0.03 −0.04
5 Anxious of infecting others with the coronavirus 0.04 −0.02 0.84 −0.05 0.06
7 Difficulty in handling pressure or excessive expectations from parents 0.07 0.06 0.04 0.66 −0.07
8 Deterioration of the domestic economic situation 0.28 −0.01 0.03 0.61 0.00
15 Difficulty in maintaining physical conditions including weight, muscle mass, and endurance 0.00 0.00 0.01 0.56 0.20
14 Difficulty in maintaining motivation for training 0.01 0.09 0.04 0.01 0.66
16 Difficulty in simultaneously handling studies and sports during the COVID-19 situation 0.05 −0.01 0.03 0.02 0.57
F1: restriction on sport activities, F2: self-restraint request, F3: fear of exposure to COVID-19, F4: pressure from the surrounding environment, and F5:
difficulties in maintaining athletic activities.
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Table 3. Associations between psychological distress (Kessler-6 with a cut-off score of 9/10) and demographic characteristics, stressors for athletes, and
social support
Model 1 Model 2 Model 3
PR 95% CI P PR 95% CI P PR 95% CI P
Sex
Male 1.00 (ref.) 1.00 (ref.) 1.00 (ref.)
Female 0.98 0.87 1.12 0.809 0.95 0.84 1.07 0.392 0.97 0.86 1.09 0.567
School grade
1st grade 1.00 (ref.) 1.00 (ref.) 1.00 (ref.)
2nd grade 1.18 1.02 1.36 0.022 1.12 0.98 1.28 0.107 1.06 0.93 1.22 0.368
3rd grade 1.53 1.29 1.80 <0.001 1.42 1.21 1.66 <0.001 1.31 1.12 1.53 0.001
Type of sports
Racket sports 1.00 (ref.) 1.00 (ref.) 1.00 (ref.)
Ball games 0.93 0.80 1.09 0.380 0.88 0.76 1.02 0.081 0.93 0.81 1.07 0.329
Budo and martial arts 0.93 0.72 1.21 0.594 0.85 0.67 1.07 0.167 0.84 0.67 1.07 0.155
Individual sports (e.g., track and field) 0.92 0.77 1.11 0.375 0.89 0.75 1.06 0.190 0.95 0.79 1.13 0.536
Dance 0.70 0.37 1.30 0.258 0.75 0.40 1.38 0.348 0.77 0.41 1.46 0.422
Competitive level
Regional 1.00 (ref.) 1.00 (ref.) 1.00 (ref.)
Prefecture (entry) 0.85 0.74 0.99 0.033 0.83 0.72 0.95 0.008 0.84 0.74 0.96 0.012
Prefecture (winners) or higher 0.89 0.75 1.06 0.203 0.86 0.73 1.01 0.059 0.89 0.75 1.04 0.139
SAC-19 (per unit)
Restriction on sport activities 0.97 0.96 0.98 <0.001 0.98 0.97 0.99 0.001
Self-restraint request 1.02 1.00 1.04 0.055 1.03 1.01 1.04 0.005
Fear of exposure to COVID-19 1.00 0.98 1.02 0.896 1.01 0.99 1.03 0.254
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Pressure from the surrounding environment 1.18 1.14 1.21 <0.001 1.15 1.12 1.18 <0.001
Difficulties in maintaining athletic activities 1.16 1.11 1.21 <0.001 1.16 1.12 1.21 <0.001
Social support (ref. each of "not
satisfied")
Familiy 0.77 0.67 0.90 0.001
Classmates and friends 0.87 0.73 1.05 0.149
Teachers 0.94 0.80 1.10 0.426
Teammates (the same grade) 0.81 0.67 0.98 0.027
Teammates (other grades) 1.02 0.84 1.22 0.869
Coaches and instructors 0.77 0.65 0.91 0.002
PR: prevalence ratio, CI: confidence interval, SAC-19: Stressors for Athletes during the COVID-19 pandemic.
n = 3017
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