Abstract
School sports activity (SSA) is beneficial to gaining and maintaining optimal health among elementary and middle school students but might increase risks for school sports injury (SSI). This cross-sectional study aimed to investigate the incidence and identify risk factors of SSI among Chinese elementary and middle school students in Shanghai. Students in grades 4–5 (elementary) and 7–9 (middle) from three k-12 schools (aged from 9 to 16 years old) in Shanghai selected via the method of cluster random sampling were invited to participate in the study. Information on socio-demography, sleep duration, individual internal and external risk factors, and SSI experiences in the past 12 months was collected. A multivariate logistic regression model was performed to estimate the risk factors of SSI. A total of 1303 participants completed the questionnaires, with an overall SSI incidence rate of 29.5%. Along with boys, elementary school students, and sports team members, students scoring high on internal and external risk factors were at higher risk for SSA. In summary, SSI was prevalent among elementary and middle school students in Shanghai, China, and was associated with several modifiable risk factors. The findings provide insights regarding actions that could be taken to reduce the occurrence of SSI and maximize the benefits of SSA, including improvements in safety education, maintenance of facilities and equipment, and completion of warm-up exercises.
Keywords: sports injuries, internal and external risk factors, children, adolescents
1. Introduction
School sports participation is one of the main factors resulting in injuries to children and adolescents at school [1]. According to findings from a 1998 WHO cross-border study on “health behavior of school-age children”, 21.8% of the injuries occurred in children of 11, 13, and 15 age groups, and half of them were injuries in sports and playground activities [2]. A study of students in Montreal found that most injuries were incurred by male students aged 10–14 years, with falls and sports injuries being the most common injury mechanisms [3]. Sheps and Evans reported that most primary school injuries among students in the Vancouver area occurred on the playground, while sports and classroom accidents were the most common causes of injuries among high school students [4]. In recent years, studies have shown that school sports are an important factor in children’s injuries in North America [5,6,7]. This phenomenon can be attributed to the fact that most North American children and adolescents spend almost half of their waking time in school, including five hours of education and two hours in extracurriculars at school. The average number of school days in the United States and Ontario, Canada, were 178 and 185, respectively [8]. Therefore, it is necessary to investigate the related factors resulting in school sports injuries so that effective measures can be taken to solve the problem.
The investigation of school sports injuries can be distinguished from playground injuries. As noted by MacKay [9], playground injuries are most frequently caused by falls from equipment (e.g., monkey bars, slides) or moving objects (e.g., swings). Therefore, only school sports injuries, not playground injuries, are examined within this study. Similarly, gender differences in children’s outdoor play injuries, as reported by Rosen and Peterson [10], are distinct from school sports injuries.
Conclusions from a systematic review [11] support a theoretical framework in which intrinsic and extrinsic factors contribute to the risk for sports injuries in children and adolescents [12,13,14]. Intrinsic risk factors included age, sex, previous injury (nonmodifiable factors) and fitness level, preparticipation sport-specific training, flexibility, strength, joint stability, biomechanics, balance/proprioception, and psychological/social factors (modifiable factors). Extrinsic risk factors included sport played (contact/no contact), level of play (recreational/elite), position played, weather, time of season/time of day (nonmodifiable factors) and rules, playing time, playing surface (type/condition) and equipment (protective/footwear) (modifiable factors). In addition, research [15,16] documented correlations between school sports injuries and such variables as gender, age, school sports team membership, individual safety awareness, the duration of moderate-to-vigorous-intensity physical activities (MVPA), chronic disease, parents’ marital status, wet floor, and rebellious behavior. In these studies [15,16], however, only a limited number of variables were examined, the general relationship of the internal and external risk factors to school sports injuries was not considered, and elementary school students were not assessed. A recent study showed a negative impact of the pandemic on youth physical activity [17]. This negative impact was cross-referenced with school sports injuries.
The purpose of this cross-sectional study was to investigate the incidence rate and identify risk factors for SSI among Chinese elementary and middle school students in Shanghai. Moreover, we want to ascertain the general relationship of internal and external factors to school sports injuries, aiming to provide a basis for the prevention strategies to reduce the occurrence of SSI in elementary and middle school students.
2. Materials and Methods
2.1. Participants
Using the method of cluster random sampling, we selected the schools by the locations and administrative areas of Shanghai, China. Students in grades 4–5 (i.e., elementary school, aged from 9 to 13 years old) and 7–9 (i.e., middle school, aged from 11 to 16 years old) from three k-12 schools in Shanghai were invited to participate in the study in December 2020. Our exclusion criteria were: (i) students who were unable to participate in normal sports activities and (ii) students who did not agree to engage in the study.
2.2. Data Collection
Structured questionnaires were distributed to all eligible students in classes by trained personnel. The questionnaire was self-administered and self-reported, consisting of demographic information, sleep duration, individual internal and external factors of SSI, and SSI experiences in the past 12 months.
The demographic information included name, gender, age, school, study year, height (centimeter), weight (kilogram), sports team member (yes or no), any diagnosed chronic disease/symptom or not (such as heart disease, vision, or hearing disorder), school dormitory residence (yes or no), nearsightedness (yes or no), only child family (yes or no), and their parental marital status.
As for sleep duration (including nap time), the following two questions were asked: (i) “On average, how many hours do you sleep on a typical weekday?”; (ii) “On average, how many hours do you sleep on a typical weekend?”. The average daily time was then generated (using the formula of a sum of duration on a typical weekday multiplied by five and duration on a typical weekend multiplied by two, then divided by seven). Participants were further grouped into five categories (i.e., <6 h, 6 to <7 h, 7 to <8 h, 8 to <9 h, and ≥9 h per day, respectively) based on their average daily sleep duration.
The 19-item Scale for Individual Internal and External Factors of School Sports Injuries (SIIEFSSI) was developed for the current study in accordance with the theory of risk factors for sports injuries [12,13], and the items were adapted from relevant research [15]. (Table 1) Responses to all items are given on a 5-point Likert scale from 1 to 5 (1 = never do, 2 = rarely do, 3 = occasionally do, 4 = often do, 5 = always do). Items #1–8 correspond to external factors and the remaining 11 items (i.e., #9–19) to internal factors. There are 13 items scored positively (i.e., items #1–11, 16, and 18), and 6 items scored negatively (i.e., items #12–15, 17, and 19).
Table 1.
Items for Internal and External Factors resulting in School Sports Injuries (SSI).
| Items | Domain | Factors | Direction |
|---|---|---|---|
| 1. I will perform physical activities on slippery ground. | External | Facility | Positive |
| 2. I will perform physical activities on uneven ground. | External | Facility | Positive |
| 3. I will perform physical activities in places with poor light. | External | Facility | Positive |
| 4. I will perform physical activities in small venues. | External | Facility | Positive |
| 5. I will perform physical activities in crowded venues. | External | Facility | Positive |
| 6. I will do outdoor physical activities during hot weather. | External | Playing Time | Positive |
| 7. I will do outdoor physical activities when the weather is very cold. | External | Playing Time | Positive |
| 8. I will be physically active when I am sick. | External | Playing Time | Positive |
| 9. I will run and chase on campus. | Internal | Safety Awareness | Positive |
| 10. I will wear necklaces and other accessories during sports activities. | Internal | Safety Awareness | Positive |
| 11. I will wear glasses during sports activities. | Internal | Safety Awareness | Positive |
| 12. When participating in physical activities, I will pay attention to my pulse or heartbeat and other physical conditions. | Internal | Safety Awareness | Negative |
| 13. I will abide by the rules and pay attention to the safety of others when performing physical activities or competitions. | Internal | Safety Awareness | Negative |
| 14. During exercise, if I feel dizzy, I will stop exercising immediately. | Internal | Safety Knowledge | Negative |
| 15. Before exercise or competitions, I will pay attention to maintaining a good sleep to conserve energy. | Internal | Safety Knowledge | Negative |
| 16. Right after the 800-meter race and other strenuous exercises, I will sit down and rest immediately. | Internal | Safety Knowledge | Positive |
| 17. When an ankle is sprained, I will take quick measures, such as applying an ice pack to the wound. | Internal | Safety Knowledge | Negative |
| 18. I will play sports on facilities or equipment with potential safety hazards. | Internal | Safety Awareness | Positive |
| 19. During the exercise, I will drink water regularly. | Internal | Safety Knowledge | Negative |
Adapted from research on sports injuries in children and adolescents [18,19], a school sports injury (SSI) was defined as any physical injuries sustained by a child during P.E. classes, extracurricular sports activities, training sessions, or games, such as contusion, sprain, fracture, etc., resulting in (i) a break in the current activity; and/or (ii) an inability to (fully) participate in the next planned activity; and/or (iii) an inability to attend school the next day; and/or (iv) a need for medical attention (i.e., ranging from first aid to hospitalization) [20]. Furthermore, students reporting injury were requested to provide information about their SSI (including site, causes, injury types, injured body parts, treatment, etc.). The additional injury-related information was collected to validate the SSI outcome measure further.
2.3. Procedure
This study was conducted in accordance with the Declaration of Helsinki. Prior to approaching potential participants, approval was obtained from the Shanghai Normal University Ethics Committee (Ethics of SHNU (2020) #35). Explanatory statements and parental consent forms were distributed to 1500 students, with a response rate being 90% (1350), and the questionnaires were subsequently given during school hours to the consenting students in the nominated classes. The purpose of the study was explained orally to the students prior to their completion of the questionnaires, and trained personnel answered questions and provided clarification as needed during the session. Nonetheless, data from 47 (3.48%) students were excluded due to incomplete responses to the questionnaires, resulting in a final valid sample size of 1303.
2.4. Statistics
After entering and classifying the data, the scores of negative items were numerically reversed first. Descriptive statistics were calculated to evaluate the characteristics of participants. Continuous and categorical variables were presented as mean (standard deviation, SD) and number (percentage) and tested for between-group differences using independent-sample t-tests and chi-square tests, respectively. Then, exploratory factor analysis (EFA) with varimax rotation was performed on SIIEFSSI items for the sample of School B (n = 350) using SPSS 22.0 (SPSS Inc., Chicago, IL, USA). Items with factor loadings greater than 0.40 were retained. Confirmatory factor analysis (CFA) in AMOS 23.0 was performed on SIIEFSSI items for the samples of School A + School C (N = 968) to determine the goodness-of-fit of the proposed 2-factor model (internal and external factors) [21]. A multivariate logistic regression model was used with the sample of all the three schools (N = 1303) to examine all the variables to estimate their risks for SSI, which were expressed in terms of odds ratios (ORs) and 95% confidence intervals (95% CIs). In the multivariate analyses, all the predictor variables were entered into the regression model. A two-sided p-value less than 0.05 was considered statistically significant.
3. Result
Overall, the present study included 1303 eligible students (52.6% boys and 51.9% elementary school students), with a mean age of 12.10 (SD: 1.85) years. As shown in Table 2, 385 students (29.5%) reported at least one SSI episode in the past 12 months, with significant differences found for age, gender, study year, sports team member, sleep duration, nearsightedness, only child status, internal risk factors, and external risk factors (all p < 0.05) between SSI and non-SSI.
Table 2.
Socio-demographic characteristics and other factors as a function of school sports injury (SSI) status.
| Characteristics 1 | All (N =1303) n (%) |
Non-SSI (N = 918) n (%) |
SSI (N = 385) n (%) |
χ2/t * | p-Value 3 |
|---|---|---|---|---|---|
| Gender | 8.949 | 0.003 ** | |||
| Boy | 685 (52.6) | 458 (66.9) | 227 (33.1) | ||
| Girl | 618 (47.4) | 460 (74.4) | 158 (25.6) | ||
| Study Year | 74.993 | 0.000 *** | |||
| Elementary school | 676 (51.9) | 405 (59.9) | 271 (40.1) | ||
| Middle school | 627 (48.1) | 513 (81.8) | 114 (18.2) | ||
| Parental marital status | 3.383 | 0.184 | |||
| Married | 1172 (89.9) | 831 (70.9) | 341 (29.1) | ||
| Divorced/Separated | 122 (9.4) | 83 (68.0) | 39 (32.0) | ||
| Others | 9 (0.7) | 4 (44.4) | 5 (55.6) | ||
| Sports team member | 13.086 | 0.000 *** | |||
| No | 1078 (82.7) | 782 (72.5) | 296 (27.5) | ||
| Yes | 225 (17.3) | 136 (60.4) | 89 (39.6) | ||
| Sleep duration | 28.644 | 0.000 *** | |||
| <7 h/d | 130 (10.0) | 101 (77.7) | 29 (22.3) | ||
| 7–<8 h/d | 273 (21.0) | 221 (81.0) | 52 (19.0) | ||
| 8–<9 h/d | 406 (31.2) | 281 (69.2) | 125 (30.8) | ||
| ≥9.00 h/d | 494 (37.8) | 315 (63.8) | 179 (36.2) | ||
| Chronic disease/symptom | 3.349 | 0.067 | |||
| No | 1282 (98.4) | 907 (70.7) | 375 (29.3) | ||
| Yes | 21 (1.6) | 11 (52.4) | 10 (47.6) | ||
| Living in a school dormitory | 1.349 | 0.246 | |||
| No | 1292 (99.2) | 912 (70.6) | 380 (29.4) | ||
| Yes | 11 (0.8) | 6 (54.5) | 5 (45.5) | ||
| Nearsightedness | 10.758 | 0.001 ** | |||
| No | 606 (46.5) | 400 (66.0) | 206 (34.0) | ||
| Yes | 697 (53.5) | 518 (74.3) | 179 (25.7) | ||
| Only child family | 7.639 | 0.006 ** | |||
| No | 760 (58.3) | 513 (67.5) | 247 (32.5) | ||
| Yes | 543 (41.7) | 405 (74.6) | 138 (25.4) | ||
| Age (x ± s, years) | 12.10 ± 1.85 | 12.38 ± 1.86 | 11.43 ± 1.65 | 8.717 | 0.000 *** |
| BMI 2 (x ± s, kg/m2) | 19.56 ± 4.50 | 19.67 ± 4.46 | 19.34 ± 4.93 | 1.202 | 0.230 |
| Internal risk factors | 2.02 ± 0.85 | 1.99 ± 0.85 | 2.11 ± 0.87 | −2.400 | 0.017 * |
| External risk factors | 1.90 ± 1.10 | 1.84 ± 1.04 | 2.05 ± 1.20 | −3.126 | 0.002 ** |
1 Categorical variables (all variables except for age and BMI) were tested by chi-square tests, while continuous variables (age, BMI, internal and external risk factors) were tested by independent-sample t-tests; 2 BMI, body mass index; 3 * p < 0.05, ** p < 0.01, *** p < 0.001.
EFA eliminated nine items (items #6–11, 16, and 18–19) with factor loadings < 0.04 and yielded a 2-factor (internal and external factors) model with 10 items related to the respective factors. The items that were retained with their means, standard deviations, and factor loadings are presented in Table 3.
Table 3.
EFA results for SIIEFSSI internal and external risk factor (N = 335).
| Items | Mean | SD | FL |
|---|---|---|---|
| EX1. I will perform physical activities on slippery ground. | 3.94 | 1.416 | 0.797 |
| EX2. I will perform physical activities on uneven ground. | 4.09 | 1.316 | 0.858 |
| EX3. I will perform physical activities in places with poor light. | 4.09 | 1.241 | 0.871 |
| EX4. I will perform physical activities in small venues. | 4.16 | 1.260 | 0.856 |
| EX5. I will perform physical activities in crowded venues. | 4.20 | 1.199 | 0.836 |
| IN6. When participating in physical activities, I will pay attention to my pulse or heartbeat and other physical conditions. | 3.38 | 1.332 | 0.627 |
| IN7. I will abide by the rules and pay attention to the safety of others when performing physical activities or competitions. | 4.27 | 1.058 | 0.662 |
| IN8. During exercise, if I feel dizzy, I will stop exercising immediately. | 3.83 | 1.291 | 0.625 |
| IN9. Before exercise or competitions, I will pay attention to maintaining a good sleep to conserve energy. | 4.12 | 1.101 | 0.792 |
| IN10. When an ankle is sprained, I will take quick measures, such as applying an ice pack to the wound. | 3.77 | 1.326 | 0.640 |
External risk factors: EX1, EX2, EX3, EX4, and EX5 (5 items; Cronbach α = 0.918); Internal risk factors: IN6, IN7, IN8, IN9, and IN10 (5 items; Cronbach α = 0.702).
The two-factors model for the SIIEFSSI items was further examined with confirmatory factor analysis (CFA) in AMOS 23.0 (Figure 1). As shown in Table 4, the outputs indicated a good fit of the data to the 2-factor [18], with acceptable values for most indices of fit (ꭓ2/df = 6.155, RMSEA = 0.073, CFI = 0.960, GFI = 0.956, AGFI = 0.930, RMR = 0.057), which can be seen in Table 4. The internal consistency for internal risk factors (0.702) and external risk factors (0.918) was acceptable.
Figure 1.
CFA Output for SIIEFSSI, as explained in Table 3.
Table 4.
CFA model: Goodness-of-fit statistics.
| Model Fit Index | Value Considered Good Fit | Model Fit Value | Indication of Fit |
|---|---|---|---|
| χ2/df | Value lower than 3 | 6.155 | Acceptable |
| RMSEA | 0.03–0.08 | 0.073 | Reasonable |
| CFI | Value > 0.9 | 0.960 | Perfect |
| AGFI | Value > 0.9 | 0.930 | Good |
| GFI | Value > 0.9 | 0.956 | Perfect |
| NFI | Value > 0.9 | 0.953 | Perfect |
| RMR | Value < 0.05 | 0.057 | Acceptable |
| IFI | Value > 0.9 | 0.960 | Perfect |
Results of the multivariate logistic regression analysis predicting SSI are displayed in Table 5. Middle school students had smaller odds of sustaining SSI than elementary school students, with boys being more likely to experience SSI than girls (OR = 0.539 and 1.359, respectively). The internal and external risk factors were also significant predictors of SSI (OR = 1.255, 95% CI: 1.084–1.454 and OR = 1.142, 95% CI: 1.021–1.277, respectively). In addition, sports team members had a higher risk of SSI than their counterparts not on a sports team (OR = 1.689, 95% CI: 1.231–2.317, p < 0.05).
Table 5.
Multivariate logistic regression to estimate risks for school sports injury among elementary and middle school students in Shanghai, China (N = 1303).
| Characteristics | β | Wald | p-Value | Adjusted OR | 95% CI |
|---|---|---|---|---|---|
| Gender | |||||
| Girl | 1 | ||||
| Boy | 0.312 | 5.530 | 0.019 * | 1.367 | 1.053–1.773 |
| Study year | |||||
| Elementary | 1 | ||||
| Middle | −0.670 | 5.455 | 0.020 * | 0.512 | 0.292–0.898 |
| Parental marital status | |||||
| Married | 1 | ||||
| Divorced/Separated | 0.366 | 2.703 | 0.100 | 1.443 | 0.932–2.233 |
| Others | 1.356 | 3.663 | 0.056 | 3.882 | 0.968–15.568 |
| Sport team | |||||
| No | 1 | ||||
| Yes | 0.524 | 10.569 | 0.001 ** | 1.689 | 1.231–2.317 |
| Sleep Duration | |||||
| <7 h/d | 1 | ||||
| 7–<8 h/d | −0.227 | 0.688 | 0.407 | 0.797 | 0.466–1.363 |
| 8–<9 h/d | 0.122 | 0.226 | 0.634 | 1.130 | 0.683–1.870 |
| ≥9.00 h/d | 0.100 | 0.143 | 0.705 | 1.105 | 0.658–1.855 |
| Chronic disease/symptom | |||||
| No | 1 | ||||
| Yes | 0.716 | 2.393 | 0.122 | 2.047 | 0.826–5.073 |
| School dormitory residence | |||||
| No | 1 | ||||
| Yes | 0.243 | 0.146 | 0.703 | 1.275 | 0.366–4.438 |
| Nearsightedness | |||||
| No | 1 | ||||
| Yes | −0.037 | 0.074 | 0.785 | 0.964 | 0.740–1.255 |
| Only child | |||||
| No | |||||
| Yes | −0.047 | 0.114 | 0.736 | 0.954 | 0.727–1.252 |
| Age (years) | −0.120 | 2.337 | 0.126 | 0.887 | 0.760–1.034 |
| BMI 1 (kg/m2) | 0.004 | 0.095 | 0.758 | 1.004 | 0.977–1.032 |
| External Factors | 0.133 | 5.419 | 0.020 * | 1.142 | 1.021–1.277 |
| Internal Factors | 0.227 | 9.187 | 0.002 ** | 1.255 | 1.084–1.454 |
* p < 0.05; ** p < 0.01. 1: BMI, body masss index.
Table 6 summarizes the numbers and consequences of SSI among the 385 students who reported sustaining at least one SSI over the 12 months prior to the administration of the survey stratified by gender. More than one-fifth of the students reporting injury (12.7%, 49/385) indicated that they had experienced at least three SSI events (i.e., multiple injuries). Boys reported experiencing multiple injuries to a greater extent than girls and were more likely than girls to report seeing a doctor or hospitalization after experiencing SSI (13.7% vs. 7.0%, χ2 = 4.296, p < 0.05). As for other potential consequences of SSI (e.g., immediately stopping the SSA, being absent from the next SSA, and being absent from class the next day), there was no significant difference between the boy’s and girl’s groups (p < 0.05).
Table 6.
Numbers and consequences of school sports injury (SSI) between boys and girls. (N = 385).
| Characteristics | All (N = 385) N(%) |
Gender | χ2 | p-Value | |
|---|---|---|---|---|---|
| Boys (N = 223) n (%) |
Girls (N = 156) n (%) |
||||
| Number of SSI | 0.114 | 0.945 | |||
| 1 | 250 (64.9) | 146 (64.3) | 104 (65.8) | ||
| 2 | 86 (22.3) | 52 (22.9) | 34 (21.5) | ||
| ≥3 | 49 (12.7) | 29 (12.8) | 20 (12.7) | ||
| Consequences of SSI | |||||
| Immediately stop the SSA | 2.626 | 0.105 | |||
| No | 170 (44.2) | 108 (47.6) | 62 (39.2) | ||
| Yes | 215 (55.8) | 119 (52.4) | 96 (60.8) | ||
| Absent from the next SSA | 0.453 | 0.501 | |||
| No | 299 (77.7) | 179 (78.9) | 120 (75.9) | ||
| Yes | 86 (22.3) | 48 (21.1) | 38 (24.1) | ||
| Class absence next day | 1.982 | 0.159 | |||
| No | 343 (89.1) | 198 (87.2) | 145 (91.8) | ||
| Yes | 42 (10.9) | 29 (12.8) | 13 (8.2) | ||
| See a doctor or hospitalization | 4.296 | 0.038 * | |||
| No | 343 (89.1) | 193 (86.3) | 147 (93.0) | ||
| Yes | 42 (10.9) | 31 (13.7) | 11 (7.0) | ||
* p < 0.05.
In addition, we also investigated the main reasons for sports injuries in primary and secondary schools in Shanghai: (i) Inattention (141 students, 36.62%); (ii) Movement technique errors (120 students, 31.17%); (iii) Insufficient preparation activities (100 students, 25.97%); (iv) Problems with site or facilities (42 students, 10.91%); (v) Other aspects (including strain injuries, stampede accidents, carelessness, etc.) (40 students, 10.39%). Since the cause of the injury is a multiple-choice question, the sum of the five causes is greater than 100%.
4. Discussion
A total of 1303 students (685 boys and 618 girls) from three k-12 schools in Shanghai, China, participated in our study. The overall self-reported incidence rate of SSI events over a 12-month period was 29.5%. Boys, elementary school students, and sports team members were at elevated risk to report experiencing SSI. In addition, both individual internal and external risk factors were associated with increased risk for reporting an SSI.
The results of our study showed that 385 primary and secondary school students (29.5%) reported experiencing at least one SSI in the past year, which was consistent with the proportion of middle school students with sports injuries (25.1%) in a related study [15]. Previous studies [15,22] showed that factors for sports injuries mainly include gender, age, study year, school sports team membership, personal safety awareness, duration of moderate to vigorous physical activity, chronic disease, parental marital status, wet ground, rebellious behavior, and school dormitory residence. Our study revealed significant differences between injured and uninjured groups in variables such as gender, grade level, and school sports membership, as well as internal and external risk factors (p < 0.05). The finding of elevated SSI risk for boys in the current study is consistent with that demonstrated across a variety of children’s physical activity contexts ranging from play to competitive sport [10,15,22,23]. Because the factors that may contribute to SSI differ across student locations, ages, genders, family compositions, etc., preventive interventions should be implemented in a targeted manner according to the characteristics of the students and their situation.
The current study differs from previous studies in several respects. First, we designed scales to assess internal and external factors and documented associations between both internal and external risk factors and SSI. Previous studies were mainly focused on identifying potential individual risk factors. Secondly, we compared the occurrence of sports injuries between primary and secondary school students and found that primary school students were more likely to become injured than middle school students. This difference may be due to a relative lack of safety awareness, sports experience, and/or self-protection knowledge among elementary school students. Previous studies have usually examined middle school students as research participants, so our study will enrich knowledge in this field by including primary school students. Third, we also found that the current primary and secondary school students in Shanghai, China, differed by gender only for the highest degree of injury severity (i.e., seeing a doctor or being hospitalized). Potential explanations for this difference include gender differences in sports choice and sensation-seeking [15,16].
From previous studies, we know that sports injuries in children and adolescents are related to intrinsic and extrinsic risk factors and that both intrinsic and extrinsic risk factors include variable and immutable risk factors [11,24]. Although the main purpose of our research was to investigate the current incidence of school sports injuries and related factors, our goal is to prevent and reduce the occurrence of school sports injuries. Toward those ends, we intend to implement a theory-based preventive intervention program focused on modifying changeable risk factors. Preventive efforts are of particular importance, given advocacy for reversing the adverse impact of the pandemic on youth physical activity [17].
Although we considered several factors theoretically related to school sports injuries during the development of SIIEFSSI, including venue/facilities, safety awareness, practice time, and safety knowledge, the results of the exploratory analyses suggest that safety knowledge and safety awareness were the main internal risk factors and that venue/facilities were the main external risk factors associated with SSI. These findings suggest several directions for future research on school sports injuries. First, safety education should be enhanced to improve students’ safety awareness. Second, schools should conduct regular inspections and maintain venue and facilities and should replace and repair equipment with potential safety hazards in a timely manner. Third, attention should be paid to improving the effectiveness of warm-up exercises to better prevent the occurrence of school sports injuries.
The strengths of our study are (i) developing a scale for assessing internal and external risk factors for SSI (i.e., the SIIEFSSI), (ii) verifying positive associations between both internal and external risk factors and school sports injuries, and (iii) including a sample of elementary school students in the study.
Our study has several limitations that should be considered when interpreting the results. First, the study featured a cross-sectional design and relied upon retrospective and self-report data. Because the SSI data were based on the recollections of primary and secondary school students over a 12-month period, the responses may have been susceptible to forgetting and recall bias. Similarly, the height and weight data were self-reported rather than measured, which might have affected the accuracy of BMI scores. Second, due to a lack of data on school sports exposure time, it was not possible to calculate the injury rate in the way it is customarily reported. Third, due to a limitation of funds and personnel, this study only recruited primary and middle school students from three schools in Shanghai, which may limit the generalizability of the current findings.
There are several logical directions for future research. First, the current findings should be replicated using prospective longitudinal data. Second, to enhance the generalizability of the current results, a larger number of schools should be included in future investigations. Third, only a limited number of internal and external risk factors were included in the development of the SIIEFSSI. Additional potential internal and external risk factors could be examined in future research to enhance the predictive power of the scale.
5. Conclusions
SSI was prevalent among elementary and middle school students in Shanghai, China. Elementary school students and students who were sports team members were at greater risk for SSI than middle school students and students who were not sports team members, respectively. In addition, both internal and external risk factors were positively associated with SSI. The results of the current study provide a rationale for implementing preventive interventions to reduce the risk for SSI and maximize the benefits of SSA in elementary and middle school students if they train groupwise.
Acknowledgments
The authors are grateful to all the participants who were involved in this study. The authors appreciate all the teachers, administrators, and staff members from the k-12 schools in Shanghai, China, for their cooperation in our investigation. We also want to express our sincere thanks to Judy L. Van Raalte at Springfield College for her assistance.
Author Contributions
Conceptualization, L.D.; methodology, L.D. and B.W.B.; formal analysis, L.D. and B.W.B.; investigation, Y.S., Q.C. and L.D.; resources, J.Z.; data curation, L.D.; writing—original draft preparation, L.D.; writing—review and editing, B.W.B. and M.M.; supervision, H.C. and J.Z.; project administration, L.D.; funding acquisition, L.D. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Shanghai Normal University (SHNU [2020] #35 and 28 August 2020).
Informed Consent Statement
Written informed consent was obtained from the parents of all subjects involved in the study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research was funded by the Educational Science Research Project of Shanghai in 2020 [C2-2020050] and the Chinese Scholarship Council [CSC NO. 202008310045].
Footnotes
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.