Abstract
23
Context: During the fall of 2020, some high schools across the US allowed their students to 24
participate in interscholastic sports while others cancelled or postponed their sport programs 25
due to concerns regarding CoVID19 transmission. It is unknown what effect this has had on the 26
physical and mental health of student athletes. 27
Objective
Identify the impact of playing a sport during the CoVID19 pandemic on the health of 28
student athletes. 29
Design: Cross-sectional study. 30
Setting: Sample recruited via email. 31
Patients or Other Participants: 559 Wisconsin high school athletes (age=15.7+1.2 yrs., 32
female=44%) from 44 high schools completed an online survey in October 2020. A total 33
of 171 (31%) athletes played (PLY) a fall sport, while 388 (69%) did not play (DNP). 34
Main Outcome Measure(s): Demographics included: sex, grade and sports played. 35
Assessments included the General Anxiety Disorder-7 Item (GAD-7) for anxiety, Patient Health 36
Questionnaire-9 Item (PHQ-9) for depression, the Pediatric Functional Activity Brief Scale 37
(PFABS) for physical activity, and the Pediatric Quality of Life Inventory 4.0 (PedsQL) for quality 38
of life. Univariable comparisons between the two groups were made via t-tests or chi-square 39
tests. Means for each continuous outcome measure were compared between the groups by 40
ANOVA models that controlled for Age, Sex, Teaching method (Virtual, Hybrid, or In-person), 41
and the % of students eligible for free lunch. 42
Results
PLY group participants were less likely to report moderate to severe symptoms of 43
anxiety (PLY=6.6%, DNP=44.1%, p<0.001) and depression (PLY=18.2%, DNP=40.4%, 44
p<0.001). PLY athletes reported higher (better) PFABS scores (mean: [95%CI]), 45
(PLY=23.2[22.0,24.5], DNP=16.4[15.0,17.8], p <0.001) and higher (better) PedsQL total scores 46
(PLY=88.4[85.9,90.9], DNP=79.6[76.8,82.4], p <0.001). 47
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Conclusions
Adolescent athletes who played a sport during the CoVID19 pandemic 48
reported fewer symptoms of anxiety and depression, as well as higher physical activity and 49
quality of life scores compared to adolescent athletes who did not play a sport. 50
51
Key words: Public health, CoVID-19, Youth, Depression 52
Abstract
word count: 300 53
Manuscript word count: 3931 54
55
Key points: 56
1) High school students who played a sport during the CoVID-19 pandemic in the fall of 57
2020 were less likely to report anxiety and depression symptoms than athletes who did 58
not play a sport. 59
2) High school students who played a sport during the CoVID-19 pandemic in the fall of 60
2020 reported higher physical activity and quality of life scores compared to high school 61
athletes who did not play a sport. 62
3) Participation in high school sports may have significant physical and mental health 63
benefits for US adolescent athletes during the CoVID-19 pandemic. 64
65
66
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Introduction
67
An estimated 8.4 million US high school students participate in interscholastic athletics 68
each year.1 Adolescent sport participation is recognized to have profound positive influences on 69
the health and well-being of adolescent students as evidenced by higher academic 70
achievement, greater levels of physical activity and decreased levels of anxiety and depression 71
compared to students who do not participate in athletics.2-6 Additionally, research has shown 72
that high school sport participation is one of the most important factors for life-long physical 73
activity and health.7-12 74
During the spring of 2020, CoVID-19, the disease caused by the novel SARS-CoV-2 75
coronavirus, reached pandemic levels in the US. Schools were closed and high school sports 76
were cancelled to slow the spread of the disease. Experts have suggested that while necessary 77
to slow the community spread of the virus, the CoVID-19 mitigation strategies may nonetheless 78
have profound mental and physical health consequences for students.13-18 For example, experts 79
have indicated that the CoVID-19 pandemic will make it more likely that youth will engage in 80
sedentary activities and increase the prevalence of childhood obesity.19-23 81
Research has also shown that females, older athletes, team sport participants and 82
athletes from areas with higher levels of poverty reported more symptoms of anxiety and 83
depression, as well as lower levels of physical activity and health related quality of life (HRQoL) 84
in May 2020 during the widespread shutdown.24 Another study reported that adolescent 85
athletes in May 2020 reported more mental health symptoms, as well as lower physical activity 86
and HRQoL scores compared to similar samples of adolescent athletes prior to the CoVID-19 87
pandemic. 25 88
During summer 2020, school districts across the US made determinations regarding 89
whether to allow interscholastic sports to resume based on input from various health and sport 90
associations while recognizing that various sports would possibly pose varying risks for the 91
transmission of CoVID-19 depending on the nature of the sport. 26-28 During fall 2020, fourteen 92
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states in the US (27%) allowed full fall sport participation, and 30 states (60%) allowed modified 93
sport participation, with the remaining 6 states and the District of Columbia (13%) not allowing 94
any interscholastic athletic participation.29 In addition, within each state that allowed full or 95
modified participation, individual school districts were allowed to determine which sports they 96
offered. Some schools allowed all their fall sports, while other districts sponsored a portion of 97
their sports while postponing or cancelling other sports.29 98
A drawback to the recent studies regarding the impact of CoVID-19 on the health of 99
adolescent athletes is the difficulty discerning if the health changes reported were primarily due 100
to restrictions on sport participation or due to other factors such as the lack of in-person school 101
attendance, the increased economic uncertainty or concerns about contracting the SARS-CoV-2 102
coronavirus. There is a need, therefore, to determine if sport participation independently affects 103
the health of adolescent athletes during the CoVID-19 pandemic. 104
We are not aware of research to date that has specifically documented how sport 105
participation during the CoVID-19 pandemic affects the mental and physical health of 106
adolescent athletes. This information may assist sports medicine providers, school 107
administrators and health care policy experts with implementing strategies to improve the short-108
term and long-term mental and physical health of adolescent athletes in the months and years 109
to come as we transition from the CoVID-19 pandemic.30,31Therefore, the purpose of this study 110
was to measure the impact of sport participation on the mental and physical health of 111
adolescent athletes during the CoVID-19 pandemic. To measure this impact, we compared 112
self-report data on anxiety, depression, physical activity and HRQoL for a cohort of athletes who 113
played a sport with a similar cohort of athletes who did not play a sport in Wisconsin during fall 114
2020. We hypothesize that adolescent student athletes who played a sport will report 115
significantly better mental health, physical activity and HRQoL than athletes who did not play a 116
sport. 117
118
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Methods
119
This study was approved by the University of Wisconsin Health Sciences Institutional Review 120
Board in September 2020. 121
Wisconsin allowed individual school districts to determine whether to sponsor 122
interscholastic teams during the fall of 2020.32 The traditional fall sports (prior to the CoVID-19 123
pandemic) offered in Wisconsin high schools included cross country, football, volleyball (boys 124
and girls), golf (girls), swim (boys and girls), tennis (girls), and soccer (boys). Approximately 125
305 (60%) of the 510 schools opted to sponsor teams for all fall sports, while 104 (20%) opted 126
to offer a limited number of sports, and the remaining 101 (20%) offered no fall sports at their 127
schools. 128
The sports offered most often by schools included boys’ and girls’ cross country (78%) 129
and girls’ golf (72%). The sports offered least often included football (54%), boys’ soccer (50%) 130
and girls’ swimming (50%).33 131
Wisconsin high school athletes (male and female, grade: 9–12, age: 13-19) were 132
recruited to participate in the study by completing an anonymous online survey in October 2020. 133
Emails were sent to athletic trainers and coaches from 44 schools to solicit their athletes to 134
participate in the study. The survey included 69 items and included a section to solicit 135
demographic information, followed by 3 validated instruments used to measure physical activity, 136
mental health and HRQoL in adolescents. Demographic responses regarding the participant’s 137
age, grade and school name, as well as any high school sport in which they competed during 138
the fall and planned to compete in if the sport was offered by the school during the winter and 139
spring of the 2020/21 school year were collected. The remainder of the survey consisted of an 140
assessment of mental health, physical activity level and HRQoL. 141
Mental health 142
The General Anxiety Disorder-7 Item (GAD-7) and Patient Health Questionnaire-9 Item 143
(PHQ-9) surveys were used to evaluate anxiety and depression symptoms, 144
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respectively.34 The questionnaires ask participants to rate the frequency of anxiety or 145
depression symptoms experienced in the past two weeks. The GAD-7 scale is a valid, 146
reliable and sensitive measure of anxiety symptoms and is able to differentiate between 147
mild and moderate GAD in adolescents.35 Scores range from 0-21 with a higher score 148
indicating increased anxiety. In addition to the total score, GAD-7 categorical scores of 0–149
4, 5-9, 10–14, and 15–21 correspond to no, mild, moderate, and severe anxiety 150
symptoms, respectively.36 The PHQ-9 is a 9-item screening questionnaire for depression 151
symptoms with scores ranging from 0-27 with a higher score indicating a greater level of 152
depression. The PHQ-9 has demonstrated high sensitivity and specificity for depression 153
screening in adolescent patients aged 13 to 17 years.37 In addition to the total score, 154
PHQ-9 categorical scores of 0–4, 5–9, 10–14, 15–19 and > 20 correspond to minimal or 155
none, mild, moderate, moderately severe and severe depression symptoms, 156
respectively.38 157
Physical Activity 158
Physical activity level was assessed with the Hospital for Special Surgery Pediatric 159
Functional Activity Brief Scale (PFABS). This validated 8-item instrument was designed to 160
measure the activity of active children between 10 and 18 years old for the past month. 161
Scores range from 0 to 30 with a higher score indicating greater physical activity.39,40 162
Health Related Quality of Life 163
HRQoL was measured with Pediatric Quality of Life Inventory 4.0 (PedsQL). The 23-item 164
PedsQL questionnaire assesses HRQoL for the previous 7 days. A physical summary score 165
(physical function) and psychosocial (a combination of emotional, social and school function) 166
summary score, as well as the total PedsQL scores can be calculated, with scores ranging from 167
0 to 100 and a higher score indicating greater HRQoL. The PedsQL has been validated for use 168
in children ages 2 to 18.41,42 169
Statistical analyses 170
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Statistical analyses were performed for participants who provided a valid, complete survey. 171
Participants were excluded if they did not complete the entire survey, were not in grades 9 -12, 172
or indicated they did not plan to play interscholastic sports at their school. Participants’ 173
demographic variables were summarized (mean [SD] or N [%]) overall and by study participants 174
for sex and fall sport participation. Participants were classified as playing a fall sport (PLY) or 175
as not playing a fall sport (DNP). 176
The characteristics for the schools attended by the participants included the type of 177
instructional delivery method and the % of students eligible for free or reduced lunch. The type 178
of instructional delivery method (online only, in person or hybrid [a combination of in person and 179
online]) was determined by reviewing information on each school’s website. The % of the 180
students eligible for free or reduced lunch for each school was obtained from the publicly 181
available data available online through the Wisconsin Department of Public Instruction.43 182
Means (mean, [95%CI]) for each continuous outcome measure were reported and 183
compared between fall sport participation groups by ANOVA models that controlled for age, sex, 184
type of teaching method and % of students who were eligible for free or reduced lunch. Ordinal 185
logistic regression models were used to estimate the percentages of level of depression (PHQ-186
9) and anxiety (GAD-7) by group. These models controlled for the same covariates listed 187
above. All tests had a 0.05 significance level. Analyses were conducted in R for statistical 188
computing version 3.5. 189
190
Results
191
A total of 559 high school athletes (age = 15.7+1.2 yrs., female = 43.6%, male = 56.4%) 192
completed the survey. Due to the convenience sampling design, information regarding the 193
response rate was unavailable. Three hundred eighty-eight (69.4%) participants reported they 194
did not play (DNP) an interscholastic sport at their school, while 171 (30.6%) reported they did 195
play (PLY) an interscholastic sport. The majority (n = 257, 66.2%) of the participants in the 196
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DNP group attended schools that cancelled all fall sports, and 91.4% (n = 355) attended 197
schools that delivered all instruction online. The % of students eligible for free or reduced lunch 198
(mean + SD) for the schools was 25.9 + 10.3%. One hundred forty-eight (86.5%) of the 199
participants in the PLY group attended schools that offered all fall sports, with 40.3% (n = 69) 200
attending school in-person. Participants in the PLY group were most likely to report playing 201
volleyball (n = 66, 38.6%), football (n = 53, 31%) and boys’ soccer (n = 22, 12.9%). Participants 202
in the DNP group most commonly reported that they had intended to play football (n = 160, 203
41.2%), and volleyball (n = 51, 13.1%). Seventy nine participants (20.4%) did not play a fall 204
sport but intendede to play a high school winter or spring sport. A summary of the participant 205
characteristics is found in Table 1. 206
Mental Health 207
The PLY participants were more likely to report GAD-7 symptom scores of 0 to 4, indicating no 208
or minimal anxiety (PLY = 80.1% vs DNP = 26.4%), whereas the DNP athletes were more likely 209
to report scores of 10 to 21, indicating more moderate to severe anxiety than the PLY group 210
(DNP = 44.1% vs PLY = 6.6%) as shown in Figure 1. The PLY participants were more likely to 211
report PHQ-9 scores 0 to 4, indicating no or minimal depression (PLY = 57.7% vs DNP = 212
31.3%), whereas the DNP athletes were more likely to report scores of 10 to 27, indicating more 213
moderate to severe depression than the PLY group (DNP = 40.1% vs PLY = 18.2%) as shown 214
in Figure 2. The DNP group reported a higher (worse) GAD-7 score (mean, [95%CI]) than the 215
PLY group (8.4 [7.2, 9.5] vs. 3.2 [2.2, 4.3], < 0.001) as well as a higher (worse) PHQ-9 score 216
than the PLY group (7.6 [6.4, 8.8] vs. 3.9 [2.8, 4.9], < 0.001). The total GAD-7 and PHQ-9 217
scores for both groups are found in Table 2. 218
Physical Activity and HRQoL 219
Physical activity, as measured by PFABS scores (mean, [95%CI]) for the PLY group were 41% 220
higher (better) than the DNP group (PLY = 23.2 [22.0, 24.5] vs. DNP = 16.4 [15.0, 17.8], p < 221
0.001). The PFABS scores for both groups are found in Table 2. The HRQoL for athletes in the 222
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PLY group was higher (better) than the DNP athletes. Specifically, the PedsQL physical health 223
summary scores for the PLY group were higher than the DNP group (PLY = 92.3 [90.1, 94.4] vs. 224
DNP = 86.5 [84.1, 88.9], p = 0.004), as was the psychosocial health summary score (PLY = 225
86.4 [83.3, 89.4] vs. DNP = 75.9 [72.5, 79.3], p < 0.001) and the total PedsQL score (PLY = 226
88.4 [85.9, 90.9] vs. DNP = 79.6 [76.8, 82.4], p < 0.001). The PedsQL scores for both the PLY 227
and DNP groups are found in Table 2. 228
229
Discussion
230
To our knowledge, this is the first study to compare the mental health status, physical activity 231
level and HRQoL between high school athletes who were or were not able to participate in 232
interscholastic sports during the CoVID-19 pandemic. This study builds on prior research 233
demonstrating the dramatic changes in physical and mental health following the cancellation of 234
high school sports in the spring of 2020. 24,25 A limitation of the prior studies is the difficulty 235
discerning if the health changes reported were primarily due to the restrictions on sport 236
participation or the result of other factors such as sex, age, socioeconomic status or the lack of 237
in-person school attendance. After controlling for grade, sex, school instructional delivery 238
Method
and the % of students qualifying for free and reduced lunch, our findings demonstrate 239
that athletes who did not play interscholastic sports experienced significantly worse symptoms 240
of anxiety and depression, lower levels of physical activity and worse HRQoL compared to 241
athletes who did not play sports in fall 2020. This suggests that the re-initiation of sport 242
participation may result in significant improvements in mental and physical health for 243
adolescents during the CoVID-19 pandemic. 244
245
Mental Health 246
Athletes that played high school sports in the fall of 2020 demonstrated significantly lower 247
symptoms of anxiety and depression than those athletes who did not play a sport. Specifically, 248
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athletes in the DNP group were more than 6 times as likely to report moderate to severe 249
symptoms of anxiety and more than twice as likely to report moderate to severe symptoms of 250
depression even after adjusting for age, sex, type of school instruction and % of the students 251
qualifying for free and reduced lunch. This seems to suggest that while PLY athletes continue 252
to demonstrate slightly higher levels of depression and anxiety than historical values, the mental 253
health burden among DNP athletes is considerably worse.25 In fact, the DNP group 254
demonstrates levels of moderate to severe anxiety and depression symptoms similar to those 255
identified in a nationwide sample for adolescent athletes in May 2020 (anxiety = 36.7%, 256
depression = 27.1%).25 Given the adolescent mental health crisis that existed prior to the onset 257
of CoVID-19, and the known mental health benefits of sport participation, this data seems to 258
suggest that adolescent athletes who are unable to return to sports may be at a significantly 259
greater risk for mental health issues. 260
Experts have pointed out that the CoVID-19 pandemic has negatively impacted the 261
mental health of youth and may be related to decreased socialization, increased family strain, 262
and reduced access to support services.13,44 As such, we recognize that factors beyond sport 263
participation such as the ability to attend school in-person may contribute to adolescent mental 264
health. In addition, depression and anxiety in adolescent athletes have been shown to be 265
related to sex and grade in school. Nonetheless, after controlling for the type of school 266
instructional delivery (online, in-person or hybrid), age and sex, sport participation remained 267
significantly associated with large improvements in anxiety and depression symptoms. 268
Therefore, we can reasonably assume that the increased symptoms we identified among the 269
DNP participants are at least partly attributable to the lack of sport participation. 270
Our results also support previous research that has demonstrated that sport participation 271
improves the mental health of youth and adolescents.45-48 A recent study during the early stages 272
of the CoVID-19 pandemic found that 11.4% of student athletes who were unable to participate 273
in sports reported moderate to severe levels of depression symptoms, which was four times 274
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higher than the rate (2.8%) reported by student athletes prior to the CoVID-19 pandemic.25 This 275
supports the premise that sport participation may represent an important mechanism to improve 276
the mental health of adolescents as society continues to attempt to mitigate the impact of 277
CoVID-19 in the months and years to come. 278
Physical Activity 279
Our study demonstrates that during the CoVID-19 pandemic, high school athletes who 280
played high school sports had a significantly higher level of physical activity than athletes who 281
did not play a sport. Notably, the total PFABS score for the PLY group was similar to scores 282
(mean, [95%CI]) for healthy high school aged athletes prior to CoVID-19 (24.7 [24.5,24.9]).25 283
Similarly, the PFABS scores for the PLY group were similar to scores for adolescents reported 284
by Donovan (23.8 + 5.3) as well as to normative data reported by Fabricant (20.2 + 7.2).40,49 285
Further, the PFABS scores for the PLY group were nearly twice as high as those reported by 286
high school athletes unable to play any sports in May 2020 (12.1 [11.7, 12.5]). Finally, the DNP 287
group reported scores that were 25% and 45% lower than scores reported by Fabricant and 288
Donovan, respectively.40,49. This may indicate that by being able to play a sport, these athletes 289
mitigated, to some degree, the low level of physical activity reported during the initial onset of 290
the CoVID-19 pandemic. 291
Physical activity is known to have a beneficial effect on a wide range of health outcomes 292
in adolescents, including sleep, academic success, well-being, and mental health.5,6,9,12,45-48,50 293
Therefore, it is possible that the identified decrease in mental health in the DNP group may be 294
at least partly due to the removal of the positive effects that physical activity has for 295
adolescents. In addition, childhood obesity was a public health crisis before CoVID-19, and is 296
projected to become worse due to the pandemic.19,21,51 Decreased physical activity in 297
adolescents may also have long-term negative effects and implications in terms of increased 298
risk for obesity and cardiometabolic disease if these levels remain low for prolonged periods.52 299
Chronically low levels of physical activity may also compound the mental health consequences 300
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of the current crisis and increase the risk 46,50 Returning high school sport opportunities is a 301
complex issue and requires careful consideration. Stakeholders should consider the promotion 302
of physical activity for adolescents a top priority during the CoVID-19 pandemic. 303
Health Related Quality of Life 304
HRQoL is a measurement of well-being, and well-being has been associated with self-perceived 305
health, longevity, and healthy behaviors.53 We found that adolescent athletes who had returned 306
to sport in fall 2020 reported significantly higher HRQoL than those athletes unable to return to 307
sport. This is consistent with prior studies that have shown that individuals with increased 308
physical activity and/or interscholastic sport participation report higher HRQoL scores compared 309
to inactive adolescents and high school non-athletes.54-57 Therefore, it is not surprising that 310
HRQoL scores for the PLY athletes were higher than the DNP athletes. 311
The total PedsQL scores reported here for the PLY athletes are significantly higher than 312
scores (mean [95%CI]) reported by high school athletes when sports were cancelled (76.7, 313
[76,0, 77.5]). 24 Further, the total PedsQL scores reported by the PLY athletes are similar to 314
scores (mean + SD) recorded in 14 to 18 year-old athletes prior to the pandemic by Lam (89.4 + 315
9.6 to 90.5 + 10.2), Snyder (89.5 + 10.1 to 93.6 + 7.6) and McGuine (90.9 [90.5,91.3] 25,55,56 The 316
increased scores for the PLY group may also be attributed to aspects of sport participation 317
beyond the opportunity for structured physical activity such as goal setting, emotional support 318
and social interaction with teammates. This may suggest hat by playing a sport, adolescents 319
may be able to return to a “normal” or “expected” level of HRQoL similar to those recorded prior 320
to the CoVID-19 pandemic. 321
On the other hand, the total PedsQL scores for the DNP athletes were lower than 322
reported Peds QL scores in non-athletes (84.7 + 12.7 to 85.8 + 11.4) reported by Lam et. al.56 323
Interestingly, the DNP scores are similar to scores reported in populations of youth age 5 – 18 324
with chronic conditions such as asthma (74.8 + 16.5), cardiac disease (77.4 + 14.5) and 325
diabetes (80.3 + 12.9) reported by Varni.58 The reduced HRQoL in the DNP group may be due 326
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in part to the decreased physical activity levels we noted previously. Since HRQoL is 327
multifactorial, however, the scores reported by the DNP group are also likely impacted by other 328
aspects of the lack of sport participation such as the continued loss of social interaction and loss 329
of identity. Nonetheless, this difference persisted after controlling for school instructional 330
delivery type, grade, sex, as well as the % of students eligible for free and reduced lunch, 331
suggesting that the differences we noted may be attributable to the lack of sport participation 332
itself. Further, the fact that the PLY group reported HRQoL similar to data collected prior to the 333
pandemic may indicate that providing sport opportunities can positively impact multiple 334
dimensions of adolescent health. Moving forward, validated health and well-being 335
measurements provide a common metric for future studies to compare their results with our 336
reported data.53 These metrics may help policy makers with future decisions that may affect the 337
health and well-being of student athletes in the coming months and years as we transition 338
beyond the immediate impacts of the CoVID-19 pandemic.59-61 339
340
Limitations
341
This study has several limitations. First, the data provided were self-reported from online 342
surveys and not the result of a clinical examination conducted by a health care provider. 343
However, our findings are consistent with reports from experts and US Centers for Disease 344
Control who have stated that CoVID-19 will impact the mental and physical health of 345
youth.13,14,62 Second, we acknowledge that there may be a response bias for participants. We 346
cannot know for certain if the sample is representative of all the athletes at the schools or 347
biased towards athletes who were more likely to respond if they experienced the most profound 348
impacts on their health. Third, due to the survey delivery method, our sample may be biased 349
towards athletes from higher socioeconomic groups with easy access to internet services. 350
Fourth, we used the % of students eligible for free and reduced lunch for each school as a 351
measure of economic status for individual respondents. However, we felt that this would be 352
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more accurate as a measure of economic status rather than asking students to accurately report 353
their household income. Finally, we recognize that mental health and overall well-being are 354
complex and are potentially affected by other factors for which we were not able to account in 355
our study and which could confound the results. Specifically, we did not ask the respondents 356
whether they had any fears of contracting the CoVID-19 virus. Nonetheless, we were able to 357
control for sex, age, and school instruction and the % of kids eligible for free or reduced lunch to 358
help better define the impacts of sport participation during CoVID-19. 359
360
Conclusion
361
In this study, we found that adolescent athletes who were able to return to sport participation in 362
fall 2020 reported dramatically lower symptoms of anxiety and depression, higher physical 363
activity levels and higher HRQoL, even after adjusting for grade, sex, and the type of school 364
instructional delivery. As we continue through the CoVID-19 pandemic, it is our hope that this 365
information will help inform public health experts, school administrators, and sports medicine 366
and mental health providers regarding the potential physical and mental health benefits 367
associated with the participation in organized sports for adolescents. We recognize that 368
returning to organized sports is a complex issue and requires careful consideration. 369
Nonetheless, research continues to suggest that sport participation during the CoVID-19 370
pandemic is associated with significant mental and physical health benefits in adolescents. 371
Word Count = 3927 372
373
374
Acknowledgements
375
We gratefully acknowledge and thank all of the student athletes who participated in this study. 376
377
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558
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Title: High School Sports During the CoVID19 Pandemic: The Impact of High School Sports on 559
the Health of Student Athletes. 560
561
List of Figures and Tables 562
563
Table 1. Participant Characteristics for Adolescent Athletes Who Did or Did Not Play a High 564
School Sport in the Fall 2020 565
566
Table 2. Comparison of Anxiety, Depression, Physical Activity and Quality of Life 567
Scores for Adolescent Athletes Who Did or Did Not Play a High School Sport in the Fall 568
2020 569
570
Figure 1. Prevalence of Anxiety Symptoms for Adolescent Athletes Who Did or Did Not 571
Play a High School Sport in the Fall 2020 572
573
Figure 2. Prevalence of Depression Symptoms for Adolescent Athletes Who Did or Did 574
Not Play a High School Sport in the Fall 2020 575
576
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Table 1. Participant Characteristics for Adolescent Athletes Who Did or Did Not Play a 577
High School Sport in the Fall 2020 578
Variable All Participants
(N = 559)
Did Not
Play a Fall Sport
(n = 388)
Did
Play a Fall Sport
(n =171)
P-value
Age 15.7 (1.2) 15.7 (1.2) 15.7 (1.2) 0.895
Sex < 0.001
Female 244 (43.6%) 151 (39.0%) 93 (54.7%)
Male 313 (56.3%) 236 (61.0%) 77 (45.3%)
Grade 0.173
9 130 (23.3%) 90 (23.2%) 40 (23.4%)
10 167 (29.9%) 116 (29.9%) 51 (29.8%)
11 145 (25.9%) 109 (28.1%) 36 (21.1%)
12 117 (20.9%) 73 (18.8%) 44 (25.7%)
Schools 44 23 25 --
Instructional delivery method < 0.001
Online 374 (66.9%) 355 (91.4%) 19 (11.1%)
Hybrid (in person and online) 113 (20.2%) 30 (7.7%) 83 (48.5%)
In person 72 (12.8) 3 (0.8%) 69 (40.3%)
% Students eligible for free or reduced lunch 25.9 (10.3) 22.9 (7.0) 34.0 (13.3) < 0.001
Planned Fall Sport Participation
Cheer / Dance 23 (4.1%) 20 (5.2%) 3 (1.8%)
Cross Country 41 (7.3%) 25 (6.4%) 16 (9.4%)
Football 213 (38.1%) 160 (41.2%) 53 (31.0%)
Soccer (boys) 53 (9.5%) 31 (8.0%) 22 (12.9%)
Swim (girls) 20 (3.6%) 19 (4.9%) 1 (0.6%)
Tennis (girls) 13 (2.3%) 3 (0.8%) 10 (5.8%)
Volleyball 117 (20.9%) 51 (13.1%) 66 (38.6%)
None 79 (14.1%) 79 (20.4%) 0 (0.0%)
Planned Winter or Spring Sport Participation
Baseball 103 (18.4%) 72 (18.6%) 31 (18.1%)
Ice Hockey 22 (3.9%) 18 (4.6%) 4 (2.3%)
Lacrosse 32 (5.7%) 32 (8.2%) 0 (0.0%)
Soccer (girls) 205 (36.7%) 123 (31.7%) 82 (48.0%)
Softball 66 (11.8%) 33 (8.5%) 33 (19.3%)
Swim (boys) 4 (0.7%) 3 (0.8%) 1 (0.6%)
Tennis (boys) 7 (1.3%) 7 (1.8%) 0 (0.0%)
Track 120 (21.5%) 72 (18.6%) 48 (28.1%)
Wrestling 35 (6.3%) 27 (7.0%) 8 (4.7%)
Other sport^ 24 (4.3%) 21 (5.4%) 3 (1.8%)
^ Other sport includes: Bowling, Gymnastics, Rugby, Power lifting, Skiing (alpine and downhill). 579
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The copyright holder for this preprint this version posted February 9, 2021. ; https://doi.org/10.1101/2021.02.07.21251314doi: medRxiv preprint
Table 2. Comparison of Anxiety, Depression, Physical Activity and Quality of Life Scores 580
for Adolescent Athletes Who Did or Did Not Play a High School Sport in the Fall 2020 581
Variable All Participants
(N = 559)
Did Not Play a Fall
Sport (n=388)
Did Play a Fall
Sport
(n=171)
P-value
GAD-7 Total Score 6.5 (5.8, 7.2) 8.4 (7.2, 9.5) 3.2 (2.2, 4.3) < 0.001
PHQ-9 Total Score 6.3 (5.6, 7.1) 7.6 (6.4, 8.8) 3.9 (2.8, 4.9) < 0.001
PFABS Total Score 18.7 (17.9, 19.6) 16.4 (15.0, 17.8) 23.2 (22.0, 24.5) < 0.001
PedsQL Score
Physical Summary Score 88.4 (86.9, 89.9) 86.5 (84.1, 88.9) 92.3 (90.1, 94.4) 0.004
Psychosocial Summary Score 79.5 (77.5, 81.6) 75.9 (72.5, 79.3) 86.4 (83.3, 89.4) < 0.001
Total Score 82.6 (80.9, 84.3) 79.6 (76.8, 82.4) 88.4 (85.9, 90.9) < 0.001
582
Reported as mean (SD), N (%), or estimated mean (95% CI) when controlling for Age, Sex, Teaching 583
delivery (in person, online or hybrid) method, and school % eligible for free or reduced lunch percentage. 584
585
586
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Figure 1. Prevalence of Anxiety Symptoms for Adolescent Athletes Who Did or Did Not 587
Play a High School Sport in the Fall 2020 588
589
GAD-7 category percentages were estimated when controlling for age, sex teaching 590
delivery method and school % of students eligible for free and reduced lunch. 591
592
593
594
80.0%
13.4%
4.6% 2.0%
26.4% 29.6%
25.6%
18.5%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
No Anxiety Mild Anxiety Moderate Anxiety Severe Anxiety
Did Play a Fall Sport (PLY) Did Not Play a Fall Sport (DNP)
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Figure 2. Prevalence of Depression Symptoms for Adolescent Athletes Who Did or Did 595
Not Play a High School Sport in the Fall 2020 596
597
PHQ9 category percentages were estimated when controlling for age, sex teaching 598
delivery method and school % of students eligible for free and reduced lunch. 599
57.7%
23.9%
12.1%
4.5% 1.6%
31.3% 28.5%
23.7%
11.7%
4.7%
0%
10%
20%
30%
40%
50%
60%
70%
Minimal or No
Depression
Mild Depression Moderate
Depression
Moderately
Severe
Depression
Severe
Depression
Did Play a Fall Sport (PLY) Did Not Play a Fall Sport (DNP)
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