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Original Article
ARTICLE IN PRESS
doi:
10.25259/JHASNU_99_2025

Physical Activity-Related Injuries and Their Risk Factors Among Adolescents in Selected Schools - Cross-Sectional Survey

Father Muller Research Centre, Father Muller Charitable Institutions, Kankanady, Mangaluru, Karnataka, India
Department of Medical Surgical Nursing, Father Muller College of Nursing, Kankanady, Mangaluru, Karnataka, India

* Corresponding author: Dr. Sasikumar Santhanakrishnan, Department of Medical Surgical Nursing, Father Muller College of Nursing, Kankanady, Mangaluru 575002, Karnataka, India. sasikrisna@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Pinto RN, Santhanakrishnan S. Physical Activity-Related Injuries and Their Risk Factors Among Adolescents in Selected Schools-Cross Sectional Survey. J Health Allied Sci NU. doi: 10.25259/JHASNU_99_2025

Abstract

Objectives

The objective of this study is to establish the prevalence of physical activity-related injury (PARI) and its risk factors among adolescents in urban Mangaluru, and to compare the severity of injuries in males vs. females.

Material and Methods

This cross-sectional pilot study was conducted in six schools. A sample size of 400 was obtained through cluster random sampling. Socio-demographic factors, PARI experiences in the past 12 months, and risk factors were obtained through self-administered questionnaires and summarised using descriptive statistics. A multivariate logistic regression model was used to determine the effects of the risk factors on injury occurrence.

Results

The overall injury rate was 44.7% in 12 months, with the majority being minor injuries (71%). Male participants suffered more severe injuries with higher school absences from the next day following injury due to its effects, compared to females (p < 0.05). Injury risk was significantly associated with paternal seasonal employment, greater than 120 minutes/day of moderate to vigorous physical activity, screen-based sedentary behaviour, participation in high-impact sports, lack of pre-activity warm-ups, and playing on uneven surfaces.

Conclusion

PARI was prevalent among school students in Mangaluru. Even though most injuries were minor, the findings reveal that environmental and lifestyle determinants can influence injury, highlighting the need to promote safety practices, parental involvement, and supervision of lifestyle patterns.

Keywords

Adolescents
Epidemiology
Leisure time injuries
Physical activity
Sports injuries

INTRODUCTION

Physical activity (PA) is defined by actions of varying intensity occurring as part of one's daily habits, owing to the contraction-relaxation cycle of skeletal muscle fibres, accompanied by energy consumption.[1] The World Health Organization (WHO) proposes that children and adolescents devote at least 1 hour on a routine basis to moderate to vigorous physical activity (MVPA), which is vital for bone density and muscle integrity, thus promoting physical development and motor skills.[2,3]

Wear and tear are natural processes that hinder PA participation due to bouts of spasms or pain from overtraining or as a result of joint loading.[4] Literature suggests that injuries affecting the growth plates, cartilage, etc., may be primarily observed in adolescents on account of their still-developing maturity, risk-taking nature, and decreased endurance due to growing skeletal tissue.[5] Traumatic incidents of injury have therefore been a subject of concern as they are more likely to have a long-term impact, impairing physical welfare, and instigating a cognitive decline affecting academic and athletic performance.[6] These may further cause a financial burden on family members for medical care.[7] Often, adolescents have been observed to take part in organized and recreational sports even during extreme weather and environmental hazards without the use of proper sports safety equipment.[8] Additionally, unhealthy lifestyle choices, insufficient nutritional intake, peer pressure, and substance use make adolescents more vulnerable to unintentional injuries.[9,10] Presently, body weight and image issues push adolescents towards overtraining, which, along with strict dietary restrictions, could lead to burnout and have a detrimental effect on their physical and mental health.[11]

Alternatively, WHO’s recent survey determined that 81% of adolescents are physically inactive, with females exhibiting greater inactivity compared to males, which made the implementation of the Global Action Plan on Physical Activity 2018-2030 (GAPPA) policy essential, particularly after the COVID-19 pandemic.[12] Prospective studies showed that prepubertal children were more prone to injuries like fractures owing to their sedentary nature.[13] A study indicated a higher likelihood of injury in obese individuals due to high mechanical stress.[14] Growing evidence for the rise of physical inactivity may be attributed to high academic workload, prioritization of tuition after school, and the use of electronic devices.[15]

Therefore, this study aimed to determine the prevalence and risk factors of physical activity-related injuries (PARI), as well as a sex-wise comparison of injuries in adolescents in Mangaluru, India.

MATERIAL AND METHODS

Participants and study design

The required sample size of 4000 was calculated using the standard formula for estimating proportions in cross-sectional studies:

n = Z 2 p ( 1 p ) / d 2

where Z was 1.96 (95% confidence level); p, the expected prevalence of injury, was 0.025; and the margin of error, d, was 0.005. Therefore, for this pilot study, 10% of the total, i.e., 400, was considered.

A list of government and private schools in Mangaluru, which followed the state board, Central Board of Secondary Education (CBSE), and Indian Certificate of Secondary Education (ICSE) curricula, was obtained from the Deputy Director of Public Instructions (DDPI) of Dakshina Kannada. To account for the geographical dispersion of the adolescent population within Mangaluru, the cluster random sampling method was used to select representative schools for the pilot study. The list of schools was divided into two regions within the Mangaluru City Corporation: Mangalore North (260 schools) and Mangalore South (279 schools). It was further stratified based on the curriculum. Each school was considered a cluster, and one school was randomly selected from each curriculum, for both regions, resulting in a total of six schools. Based on the availability of participants between the ages of 10 and 17, students were randomly selected from each school. The study commenced after permission was attained from the DDPI of Dakshina Kannada and the school Principals.

Ethics statement

Written assent was obtained from the participants as well as consent from their parents/guardians. Approval for this study was obtained from the Institutional Ethics Committee.

Data collection

Data was obtained from consenting students from January to March 2024 through self-administered questionnaires that were filled out in the classrooms in the presence of the researchers and the class teacher to ensure all the questions were filled out correctly. Out of the responses received, 400 fully completed questionnaires were considered for the study. The questionnaire was developed following a thorough literature review, based on questionnaires with an internal consistency reliability (Cronbach’s α) of 0.89. It was further modified after validation by a team of subject matter experts, including two sports physiotherapists, two physical educators, five child and adult health nurses, and a child psychologist who rated each question as relevant, requires modification, and irrelevant.

The questionnaire was composed of three sections: demographic and lifestyle data, report of PARI, and risk factors for PARI. Demographic details included age, grade, sex (male, female, other), body mass index (BMI), parental living status, parental occupation, and presence of long-term disease, including cardiovascular, respiratory, and metabolic conditions. Participants were asked to report the number of minutes spent per day in moderate to vigorous physical activity, including sports, walking, dancing, Zumba, yoga, going to the gym, etc. The responses were categorized into <60 minutes, 60-120 minutes, and >120 minutes per day, based on WHO requirements.[2] They were also asked to mention the activities they usually took part in daily, and their involvement in additional sports teams/clubs. The number of hours spent sleeping on a typical weekday and weekend was reported, and the average time per day was calculated and categorised into <8 hours, 8-10 hours and >10 hours; for screen based sedentary behaviour, the number of hours spent while using electronic devices for recreational and other purposes was categorized into < 2 hours and ≥2 hours.[16]

Participants were asked to report instances of PARI in the last 12 months, the nature, cause, location at which it occurred, and extent of injury. An event was considered a PARI if it met at least one of the following criteria: (1) The PA was stopped immediately and/or participation in the next planned PA was not possible; (2) missed school after the injury; (3) there was a need for medical attention.[17] PARI were categorized as minor injuries, which either did not require medical attention or required only first aid, and caused little restriction of physical activity, and major injuries that required professional medical attention/hospitalisation and led to missed activities and school absence from the school next day following the injury due to its effects.[17-18]

Further to determine the risk factors for PARI, students were asked to answer the following questions with options- yes/no: “Do you usually take risks such as (1) playing on busy streets or (2) climbing walls/trees,” “Do you follow these safety measures during PA: (1) pre-activity warm ups, (2) use of protective gear, (3) staying hydrated, (4) awareness of first aid kit in school,” “Do you participate in PA during: (1) extreme weather, (2) unavailability of playgrounds, (3) surfaces being wet/uneven.”

Statistical analysis

The statistical package, SPSS (SPSS Inc., Chicago, IL, USA) version 23, was employed for data analysis. The incidence rates of injuries in male and female students were identified. The continuous variables were reported with mean (standard deviation), and categorical variables with frequency (percentage). Normality was assessed using the Shapiro-Wilk test, followed by an Independent t-test and the Chi-square test for group differences (<0.05). To estimate the risk of sociodemographic, lifestyle, and other factors for PARI, logistic regression analysis was performed. Data were adjusted for various factors, and adjusted odds ratios and 95% confidence intervals were derived at p < 0.05.

RESULTS

A total of 400 adolescents (males: 84, females: 316) with a mean age of 12.7 years (SD:1.22) took part in this study, out of which 179 students, consisting of 52% (44/84) males and 43% (135/316) females reported at least one injury that occurred in 12 months with an overall risk of 0.71 injuries/student/year. About 23% (92/400) of the students reported that they were part of sports teams/clubs and practiced their sport at least once a week. Table 1 represents the sociodemographic and lifestyle factors where significant differences were observed in BMI, father’s occupation, sports team involvement, and partaking in MVPA between the injured and non-injured groups (p < 0.05).

Table 1: Comparison of socio-demographic characteristics and lifestyle factors in injured and non-injured participants
Characteristics Categories Total (N=400) n(%) Non-injured (N=221) n(%) Injured (N=179) n(%) Chi-square statistic a p-value
Age (x̄ ± SD, years) 12.78 ± 1.22 12.82 ± 1.26 12.72 ±1.18 0.80 0.4231
BMI 1 (x̄ ± SD, kg/m2) 18.4 ± 3.56 18.62 ± 3.58 19.79 ± 4.64 2.84 0.0047
Sex Male 84 (21.0) 40 (18.10) 44 (24.5) 2.59 0.1069
Female 316 (79.0) 181 (81.9) 135 (75.4)
Study year Primary school 136 (34.0) 75 (33.9) 61 (34.0) 0.44 0.8006
Middle school 230 (57.5) 129 (58.3) 101 (56.4)
High school 34 (8.5) 17 (7.6) 17 (27.9)
Father's profession Seasonally employed 60 (15.0) 19 (8.5) 41 (22.9) 17.34 0.0006
Small-scale business owners 172 (43.0) 102 (46.1) 70 (39.1)
Clerical/service industry 112 (28.0) 63 (28.5) 49 (27.3)
Higher professionals 56 (14.0) 37 (16.7) 19 (10.6)
Mother's profession Seasonally employed/homemakers 251 (62.7) 138 (62.4) 113 (63.1) 1.58 0.6625
Small-scale business owners 24 (6.0) 16 (7.2) 8 (4.4)
Clerical/service industry 80 (20.0) 44 (19.9) 36 (20.1)
Higher professionals 45 (11.2) 23 (10.4) 22 (12.2)
Longterm disease No 360 (90.0) 204 (92.3) 156 (87.1) 2.92 0.0874
Yes 40 (10.0) 17 (7.6) 23 (12.8)
Participation in MVPA2 in a day <60 minutes 238 (59.5) 147 (66.5) 91 (50.8) 17.29 0.0002
60-120 minutes 127 (31.7) 65 (29.4) 62 (34.6)
>120 minutes 35 (8.7) 9 (4.0) 26 (14.5)
Part of a sports team No 308 (77.0) 183 (82.8) 125 (69.8) 9.39 0.0027
Yes 92 (23.0) 38 (17.1) 54 (30.1)
Sleep duration <8 h/d 14 (3.5) 4 (1.8) 10 (5.5) 4.27 0.1179
8-10 h/d 287 (71.7) 160 (72.8) 127 (70.9)
>10 h/d 99 (24.7) 57 (25.7) 42 (23.4)
Screen-based sedentary behaviour <2h/d 279 (69.7) 161 (72.8) 118 (65.9) 2.25 0.1336
≥2 h/d 121 (30.2) 60 (27.1) 61 (34.1)

Continuous variables (age and BMI) were tested using independent sample t-tests, and the categorical variables were tested through chi-square tests. p < 0.05 considered significant. 1BMI: Body mass index; 2MVPA: Moderate to vigorous physical activity, SD: Standard deviation, h/d: hours per day.

A major proportion of injuries took place at school (46%), while 36% and 17% occurred at home and other public places, respectively. Recreational activities such as skating, dancing, yoga, jogging, etc., accounted for over half the injuries (54%), followed by 24% during high-impact sports events such as basketball, football, kickboxing, wrestling, etc., that required rapid movements and physical contact, and 21% were accidental injuries during physical activities involving transportation, household chores, extreme weather, etc. The most common injuries were bruises and wounds like abrasions, lacerations, and contusions (64%); thereafter, 29% were due to joint and ligament sprains. About 7% of injuries were fractures, dislocations, and concussions. Minor injuries were more commonly seen during recreational activities. In contrast, major injuries occurred during high-impact sports events, as in Figure 1. 72% affected the limbs, whereas 28% affected the head, neck, and torso, shown in Figure 2. The highest number of injuries occurred in the lower limbs (53%). 44% of the injuries resulted in instantaneous withdrawal from physical activity, and 32% in absence from school. First aid was administered for 57% of the injury episodes, and 10% required hospitalization.

Distribution of injuries during accidental, recreational, and high-impact sports activities.
Figure 1:
Distribution of injuries during accidental, recreational, and high-impact sports activities.
Areas affected by physical activity-related injuries in adolescents.
Figure 2:
Areas affected by physical activity-related injuries in adolescents.

On comparing injuries between males and females, as presented in Table 2, significant differences with p < 0.05 were observed in injury severity, withdrawal from physical activity, and absence from school following injury, with a greater proportion of males suffering from more severe injuries (45% vs. 22%) and higher school absence after injury (45% vs. 26%). However, immediate withdrawal from activity following injury was more common in females (29% vs. 48%).

Table 2: Comparison of injury profile between males and females
Characteristics Categories Total injured (N=179) n(%) Injured males (N=44) n(%) Injured females (N=135) n(%) Chi-square statistic p-value
Number of injury episodes 1 124 (69.2) 33 (75.0) 91 (67.4) 0.89 0.638
2 30 (16.7) 6 (13.6) 24 (17.7)
≥3 25 (13.9) 5 (11.3) 20 (14.8)
Cause of injury High-impact sports 43 (24.0) 15 (34.0) 28 (20.7) 5.37 0.068
Recreational activities 97 (54.1) 24 (54.5) 73 (54.0)
Accidental a 39 (21.7) 5 (11.3) 34 (25.1)
Location at which the injury occurred School 83 (46.3) 14 (31.8) 69 (51.1) 5.41 0.066
Home 65 (36.3) 19 (43.1) 46 (34.0)
Other public places 31 (17.3) 11 (25.0) 20 (14.8)
Type of injury Appendicular injury b 129 (72.1) 30 (68.1) 99 (73.3) 0.437 0.508
Axial injury c 50 (27.9) 14 (31.8) 36 (26.6)
Injury severity Minor injuries d 128 (71.5) 24 (54.5) 104 (77.0) 8.23 0.004
Major injuries e 51 (28.5) 20 (45.4) 31 (22.9)
Immediate withdrawal from PA1 after injury Yes 78 (43.6) 13 (29.5) 65 (48.1) 4.67 0.03
No 101 (56.4) 31 (70.4) 70 (51.8)
Absence from school following injury Yes 56 (31.3) 20 (45.4) 36 (26.6) 5.44 0.01
No 123 (68.8) 24 (54.5) 99 (73.3)
Consequences of injury First aid 102 (56.9) 19 (43.1) 83 (61.4) 5.05 0.079
Hospitalization 18 (10.1) 7 (15.9) 11 (8.1)
None 59 (32.9) 18 (40.9) 41 (30.3)

p < 0.05 considered significant. 1PA: Physical activity, aAccidental injuries sustained during household chores, transportation, etc, bInjuries affecting the upper and lower limbs, cInjuries affecting the head, neck, and other body parts.dMinor injuries such as wounds and mild sprains/strains, eSerious injuries such as lacerations requiring stitches, fractures, dislocations, ligament tears, etc.

The univariate regression analysis [Table 3] showed that father’s occupation of being seasonally employed (adjusted OR: 3.159 with p =0.0001), participation in MVPA for >120 mins/day (adjusted OR: 3.987, p = 0.0005), participation in high impact sports (adjusted OR: 2.103, p = 0.0037), sleeping for less than 8 hours per day (adjusted OR: 1.515, p = 0.054), climbing walls/trees (adjusted OR: 2.271, p = 0.0097), lack of pre-activity warmups (adjusted OR: 1.589, p = 0.023), playing in extreme weather (adjusted OR: 1.732, P = 0.03), unavailability of playgrounds (adjusted OR:1.574, p = 0.025), and playing on uneven surfaces (adjusted OR: 2.917, p = 0.0007) significantly increased the odds of injury. However, the multivariate regression analysis revealed that father’s occupation of being seasonally employed (adjusted OR: 4.009 with p < 0.0001), participation in MVPA for >120 mins/day (adjusted OR: 3.699, p = 0.0027), participation in high impact sports (adjusted OR: 2.003, p = 0.027), screen-based sedentary behaviour for greater than 2 hours (adjusted OR: 1.714, p = 0.0206), lack of pre-activity warmups (adjusted OR: 1.61, p = 0.0397) and playing on uneven surfaces (adjusted OR: 2.382, p = 0.0316) were significantly associated with PARI. This model showed good fit, with a Hosmer-Lemeshow statistic of 5.374 (p = 0.717), and an acceptable area under the ROC curve of 0.73 (p value <0.0001).

Table 3: Logistic regression analysis to determine the risk of potential factors for physical activity-related injuries among adolescents
Variable Categories Unadjusted odds ratio 95% Confidence interval p-value Adjusted odds ratio 95% Confidence interval p-value
Sex Male

(Ref)

0.678

(0.471, 1.09)

0.1147

(Ref)

0.981

(0.557, 1.741)

0.9485

Female
Study year Primary school

(Ref)

0.907

1.161

(0.633, 1.489)

(0.548, 2.451)

0.889

0.693

(Ref)

0.672

0.539

(0.408, 1.101)

(0.210, 1.347)

0.1160

0.1908

Middle school
High school
BMI Normal

(Ref)

0.998

0.69

(0.547, 1.771)

(0.309, 1.478)

0.969

0.350

(Ref)

0.648

1.037

(0.331, 1.249)

(0.438,2.407)

0.1999

0.933

Underweight
Overweight
Father’s occupation Others 1

(Ref)

3.159

(1.782, 5.781)

0.0001

(Ref)

4.099

(2.105,8.272)

<0.0001

Seasonally employed/unemployed
Mother’s occupation Others

(Ref)

0.866

(0.576, 1.302)

0.4887

(Ref)

0.880

(0.554, 1.400)

0.5904

Seasonally employed/unemployed
Longterm disease No

(Ref)

1.769

(0.918, 3.478)

0.090

(Ref)

2.010

(0.970, 4.231)

0.0616

Yes
Participation in MVPA3 for >120 mins/day No

(Ref)

3.987

(1.889, 9.265)

0.0005

(Ref)

3.699

(1.622,9.090)

0.0027

Yes
Participation in high-impact sports No

(Ref)

2.103

(1.279, 3.495)

0.0037

(Ref)

2.003

(1.086, 3.740)

0.0272

Yes
Sleep for less than 8 hours No

(Ref)

1.515

(0.993, 2.325)

0.0549

(Ref)

1.463

(0.892, 2.403)

0.129

Yes
Screen-based sedentary behaviour for greater than 2 hours No

(Ref)

1.387

(0.903, 2.131)

0.134

(Ref)

1.774

(1.094, 2.891)

0.0206

Yes
Playing on busy streets No

(Ref)

1.828

(0.855, 4.025)

0.123

(Ref)

0.934

(0.361, 2.406)

0.8871

Yes
Climbing walls/trees No

(Ref)

2.271

(1.231, 4.297)

0.0097

(Ref)

1.381

(0.669, 2.876)

0.3832

Yes
Lack of pre-activity warm-ups No

(Ref)

1.589

(1.066, 2.378)

0.0236

(Ref)

1.614

(1.025, 2.556)

0.0397

Yes
Lack of protective gear use No

(Ref)

1.516

(0.638, 3.674)

0.3448

(Ref)

0.695

(0.232, 2.084)

0.5133

Yes
Lack of regular hydration No

(Ref)

0.966

(0.569, 1.650)

0.8998

(Ref)

0.820

(0.448, 1.509)

0.5209

Yes
Lack of first aid awareness No

(Ref)

1.341

(0.658, 2.825)

0.425

(Ref)

1.042

(0.463, 2.348)

0.9186

Yes
Playing in extreme weather No

(Ref)

1.732

(1.057, 2.858)

0.0300

(Ref)

0.984

(0.517, 1.847)

0.9615

Yes
Unavailability of playgrounds No

(Ref)

1.574

(1.059, 2.345)

0.0251

(Ref)

0.682

(0.436, 1.064)

0.0926

Yes
Playing on uneven surfaces No

(Ref)

2.917

(1.595, 5.523)

0.0007

(Ref)

2.382

(1.091, 5.353)

0.0316

Yes

p < 0.05 considered significant. 1‘Others’ category includes occupations, such as business owners, clerical staff, higher professionals, etc., 2Reference category is taken as 1.00, 3MVPA: Moderate to vigorous physical activity.

DISCUSSION

This study aimed to find the prevalence of physical activity-related injuries among adolescents in Mangaluru, India. The main findings included an overall injury rate of 44.7% in 12 months, with males suffering from more severe injuries and absence from school. Most injuries were sustained at school, during leisure activities, with the primary site of injury being the lower limbs. PARI risk increased significantly with paternal seasonal employment, high intensity of MVPA (>120 mins/day), participation in high-impact sports, screen-based sedentary behavior, lack of pre-activity warm-ups, and playing on wet/uneven surfaces.

Incidents of injury could lead to medical complications and financial burdens as well as impact mental health, preventing individuals from being physically active, thus elevating the risk of obesity and other non-communicable diseases.[19] The prevalence of injury varies worldwide, with reports of 68.1% among teens in the United States, 22.7% among University students in China, 45% in Polynesian countries, and 32% among school students in Hong Kong.[17,20-21] A study in Chandigarh, India, had an incidence of 0.02% among students between 11-12 years and about 1.57% among 17-18-year-olds, whereas in a south Indian state, Puducherry, there was a 23% prevalence.[22,23] This is one of the few studies that attempt to determine the prevalence of PARI encountered by adolescents in Mangaluru City. A study in Mangaluru comprising adolescent athletes found an injury prevalence of 65%, with limb injuries being the most common.[24] Our study showed a similar trend with a high prevalence of lower limb injuries, with almost 60% injury prevalence among sports team members within 12 months.

The number of injuries in males was profound compared to females, along with an increased Scholl absence of 45%, which may be attributed to activity levels of more than 120 minutes per day (63% in males vs. 34% in females in this study), participation in high-impact sports, a greater risk-taking nature, and overtraining to attain the ideal body type which may explain their reluctance in immediate withdrawal after injury.[25,26] Further specific anatomical features of the pelvis and shoulders, prominent during adolescence, make males more vulnerable to overuse injuries, especially affecting the anterior cruciate ligament (ACL).[27,28] Studies have also indicated that female adolescents in India are less likely to engage in sports and have limited mobility due to cultural and safety issues.[29]

The most frequent injuries experienced in this study were wounds and sprains, most of which affected the limbs. These injuries may be explained by constant falls when playing on uneven ground, due to the dearth of footpaths and playgrounds in residential areas, as reported by 49% and 31% of participants, respectively.[30] A significant number of studies report comparable findings, primarily in those involving high-impact sports.[30] About 95% of the participants perceived the use of protective gear during sports activities as not required, and 8% were unaware of first aid kits in school, which aligns with a study in South India, highlighting the lack of safety awareness among children.[31] Lack of pre-activity warm-ups intensified the severity of injuries, especially when the training load was increased without gradual progression in high-impact sports or in cases of previous injuries, which was corroborated by other studies involving adolescents.[32,33]

In contrast, over half the injuries occurred during leisure time, which is possibly because 77% of the participants were not part of sports teams with lower daily PA levels and had not developed a similar level of strength as compared to those in sports teams, elevating their exposure to unintentional injury.[34] Further, significantly higher BMI in injured participants may be attributed to prolonged sedentary behavior, which poses a health risk and increases the likelihood of injury, which coincides with other studies.[35] This study suggests the role of paternal occupation in increasing the odds of injury, which may reflect the consequences of social and socioeconomic circumstances on adolescent behaviour concerning unintentional as well as intentional injury, as highlighted by Engström et al.[36] Moreover, research emphasizes the role of educators in children’s lifestyle choices and even shows that when parents of athletes are educated about safety practices and communicate with children, it could help decrease the occurrence of sports-related injuries.[37]

Limitations

This cross-sectional study, being restricted to urban Mangaluru, may not completely represent the outcomes applicable to rural areas. The predominance of female students in the selected schools led to a greater proportion of female participants in the study. Further, self-administered questionnaires could make over-reporting unavoidable. Furthermore, this study is limited by its small sample size, which is inherent to pilot studies. Although the observed differences are statistically significant, they may not be definitive. To address these limitations, a study is being planned with a larger and more representative population employing the probability sampling method.

CONCLUSION

This study focuses on the prevalence and nature of PARI among adolescents in Mangaluru city. The injuries mainly occurred at school, specifically during non-organized sports activities. Increased intensity of physical activity and sports participation, parental occupation, lack of pre-activity warm-ups, and playing on uneven surfaces contributed significantly to injury risk. Therefore, this study emphasizes the need for a safe environment during training, proper techniques, and protective equipment during daily participation in PA to maximize its benefits and develop endurance to mitigate the risk of injury. Creating awareness among educators and parents about safety methods that can be instilled in children during training may aid in reducing the frequency of injuries.

Acknowledgment

We are grateful to the Indian Council of Medical Research (ICMR) for funding this study. We also thank Sr. Jacintha D’Souza, Mr. Jaya, Mrs. Shruthi, and Ms. Kripa Rasquinha for their guidance in this study.

Ethical approval

The research/study approved by the Father Muller Institutional Ethics Committee, number FMIEC/CCM/806/2022, dated 5th December 2022.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Financial support and sponsorship

This research received funding from the Indian Council of Medical Research (ICMR) with grant number 2022-18249.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

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