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The accurate measurement of sport exposure time and injury occurrence is key to effective injury prevention and management. Current measures are limited by their inability to identify all types of sport-related injury, narrow scope of injury information, or lack the perspective of the injured athlete. The aims of the study were to evaluate the proportion of injuries and the agreement between sport exposures reported by the SMS messaging and follow-up telephone part of the SMS, Phone, and medical staff Examination (SPEx) sports injury surveillance system when compared to measures obtained by trained on-field observers and medical staff (comparison method). We followed 24 elite adolescent handball players over 12 consecutive weeks. Eighty-six injury registrations were obtained by the SPEx and comparison methods. Of them 35 injury registrations (41%) were captured by SPEx only, 10 injury registrations (12%) by the comparison method only, and 41 injury registrations (48%) by both methods. Weekly exposure time differences (95% limits of agreement) between SPEx and the comparison method ranged from -4.2 to 6.3 hours (training) and -1.5 to 1.0 hours (match) with systematic differences being 1.1 hours (95% CI 0.7 to 1.4) and -0.2 (95% CI -0.3 to -0.2), respectively. These results support the ability of the SPEx system to measure training and match play exposures and injury occurrence among young athletes. High weekly response rates (mean 83%) indicate that SMS messaging can be used for player measures of injury consequences beyond time-loss from sport. However, this needs to be further evaluated in large-scale studies. This article is protected by copyright. All rights reserved.
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TABLES AND FIGURES
Table 1. Demographics of participants.
(n=24)
Sex
Boys n (%)
10 (42)
Girls n (%)
14 (58)
Age group
U-16 n (%)
6 (25)
U-18 n (%)
18 (75)
Mean age (sd)
17.0 (0.9)
Player position
Back players n (%)
9 (38)
Wing players n (%)
9 (38)
Line players n (%)
4 (17)
Goal keepers n (%)
2 (8)
Mean years handball experience (sd)
9.7 (3.0)
Mean hours weekly handball training (sd)
9.6 (3.2)
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Table 2. Injury registrations by SPEx and comparison (Observer+medical staff) methods.
Observer + medical staff
SPEx
Injury
No injury
Total
Injury
41
35
76
No injury
7
157
210
Unknown injury status due
to missing responses
3
45
Total
51
237
288
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Table 3. Injury consequenses by the SPEx and comparison (Observer+medical staff method).
Observer + medical staff
None
(0 weeks)
Mild
(1 week)
Moderate
(2-4 weeks)
Severe
(>4 weeks)
Total
7
1
0
0
8
2
0
1
0
3
1
2
4
0
7
0
1
2
3
6
10
4
7
3
24
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Table 4. Exposure time by the SPEx and comparison (Observer+medical staff) methods
SPEx
Observer +
medical staff
Bias
(95% CI)
Limits of
agreement (95%)
All
players
Mean
(95% CI)
All
players
Mean
(95% CI)
Training*
(hours)
1315
5.6
(5.2 to 6.0)
1269
4.5
(4.1 to 4.8)
1.1
(0.8 to 1.5)
-4.3 to 6.6
Match
(hours)
119
0.5
(0.4 to 0.6)
216
0.8
(0.7 to 0.9)
-0.3
(-0.3 to -0.2)
-1.5 to 1.0
Total
(hours)
1434
6.1
(5.7 to 6.5)
1484
5.2
(4.8 to 5.6)
0.9
(0.5 to 1.3)
-4.7 to 6.5
* Based on 235 observations due to 53 missing responses in SPEx
Based on 236 observations due to 52 missing responses in SPEx
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Please also find the figures uploaded separately
Figure 1. SMS message flow in SPEx
*Response modified compared to the original OSTRC overuse questionnaire (Clarsen et al. 2013).
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Figure 2. Injury registrations by the SPEx and reference (Observer) methods during the 12-week study period.
Previous reported injury or injury before study start by reference (Observer) method Previous reported injury or
injury before study start by SPEx New injury by reference (Observer) method New injury by SPEx Missing
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5
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7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
ID
12345678910 11 12
Week
Observer
SPEx
New Observer
New SPEx
Missing
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... The questionnaire used in this study was the Oslo Sports Trauma Research Centre (OSTRC) questionnaire with minor modifications (removal of "illness") that have been reported previously [10,27] and consisted of two parts. Part one included six questions covering: training exposure, game/ competition (match) exposure and the impact of any injuries on sports participation, training volume, sports performance and the extent of any symptoms (Fig. 1). ...
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A lack of available injury data on community sports participants has hampered the development of informed preventive strategies for the broad-base of sports participation. In community sports settings, sports trainers or first-aiders are well-placed to carry out injury surveillance, but few studies have evaluated their ability to do so. The aim of this study was to investigate the reporting rate and completeness of sports trainers' injury records and agreement between sports trainers' and players' reports of injury in community Australian football. Throughout the football season, one sports trainer from each of four clubs recorded players' injuries. To validate these data, we collected self-reported injury data from players via short message service (SMS). In total, 210 discrete injuries were recorded for 139 players, 21% by sports trainers only, 59% by players via SMS only, and 21% by both. Completeness of injury records ranged from 95% to 100%. Agreement between sports trainers and players ranged from K = 0.32 (95% confidence interval: 0.27, 0.37) for date of return to football to K = 1.00 for activity when injured. Injury data collected by sports trainers may be of adequate quality for providing an understanding of the profile of injuries. However, data are likely to underestimate injury rates and should be interpreted with caution.
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The objectives of this prospective school cohort study were to describe the epidemiology of diagnosed musculoskeletal extremity injuries and to estimate the injury incidence rates in relation to different settings, different body regions and injury types. In all, 1259 schoolchildren, aged 6-12, were surveyed weekly during 2.5 years using a new method of automated mobile phone text messaging asking questions on the presence of any musculoskeletal problems. All injuries were clinically diagnosed. Physical activity was measured from text messaging and accelerometers. A total number of 1229 injuries were diagnosed; 180 injuries in the upper extremity and 1049 in the lower extremity, with an overall rate of 1.59 injuries per 1000 physical activity units [95% confidence interval (CI) 1.50-1.68]. Upper extremities accounted for a rate of 0.23 (95% CI 0.20-0.27) and lower extremities accounted for 1.36 (95% CI 1.27-1.44). This study has added a wide overall perspective to the area concerning incidence and incidence rates of musculoskeletal extremity injuries in schoolchildren aged 6-12 years, including severe and less severe, traumatic, and overuse injuries. The understanding of injury epidemiology in children is fundamental to the acknowledgement and insurance of the appropriate prevention and treatment.
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Methodological differences in epidemiologic studies have led to significant discrepancies in injury incidences reported. The aim of this study was to evaluate text messaging as a new method for injury registration in elite female football players and to compare this method with routine medical staff registration. Twelve teams comprising 228 players prospectively recorded injuries and exposure through one competitive football season. Players reported individually by answering three text messages once a week. A designated member of the medical staff conducted concurrent registrations of injuries and exposure. Injuries and exposure were compared between medical staff registrations from nine teams and their 159 affiliated players. During the football season, a total of 232 time-loss injuries were recorded. Of these, 62% were captured through individual registration only, 10% by the medical staff only, and 28% were reported through both methods. The incidence of training injuries was 3.7 per 1000 player hours when calculated from individual registration vs 2.2 from medical staff registration [rate ratio (RR): 1.7, 1.2-2.4]. For match injuries, the corresponding incidences were 18.6 vs 5.4 (RR: 3.4, 2.4-4.9), respectively. There was moderate agreement for severity classifications in injury cases reported by both methods (kappa correlation coefficient: 0.48, confidence interval: 0.30-0.66).
Article
Injuries in children occur most often in physical activity-related activities. A lot of these injuries result in direct and indirect costs. A detailed overview of the economic burden of those injuries in children is lacking. A prospective study was conducted with 996 children in Dutch primary schools to describe the economic burden of injuries that occur during organised sports, leisure time and physical education (PE) class activities. Injuries were continuously monitored by PE teachers during the school year 2006-2007. An injury was recorded if it occurred during PE class, leisure time or organised sports activity and caused the child to at least stop the current activity. If an injury was recorded, parents received a cost diary to report the direct and indirect costs of the child's injury. Costs were collected from a societal perspective. During one school year, a total of 119 injuries were reported by 104 children. The mean total costs as a result of an injury were €188 ± 317. The mean direct costs as a result of an injury were much higher than the mean indirect costs (€131 ± 213 and €57 ± 159, respectively). The highest costs were found for upper extremity and leisure time injuries. Physical activity-related injuries are common in children and result in medical costs. Injuries that lead to the highest costs are those that occur during leisure time activities and upper extremity injuries. Intervention programmes for children to prevent upper extremity injuries and leisure time activity injuries may reduce direct (ie, healthcare) and indirect costs. Trial registration: ISRCTN78846684.