| Literature DB >> 35629989 |
Carlo Biz1, Luca Puce2, Maamer Slimani2, Paul Salamh3, Wissem Dhahbi4,5, Nicola Luigi Bragazzi6, Pietro Ruggieri1.
Abstract
Background andEntities:
Keywords: scoping review; sports trauma; strains; table tennis; tenosynovitis
Mesh:
Year: 2022 PMID: 35629989 PMCID: PMC9147389 DOI: 10.3390/medicina58050572
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.948
Search strategy items and details.
| Search Strategy Items | Search Strategy Details |
|---|---|
| Used keywords | “tennis table” AND (injuries OR lesion OR trauma OR traumatism OR risk factor) |
| Searched databases | PubMed/MEDLINE, ISI/WoS, ProQuest accessed via Ex libris platform at University of Genoa, Genoa, Italy |
| Inclusion criteria | Original article (of any type: case report, case series, observational study, randomized trial) |
| Exclusion criteria | Letter to editor, editorial, review articles |
| Time filter | None applied |
| Language filter | None applied |
| Target journals |
|
Abbreviations: WoS (Web of Science).
Main features of the included studies (clinical case reports and case series are excluded and reported in a separate table).
| Authors | Year | Country | Study Population | Age | Injury Rate | Risk |
|---|---|---|---|---|---|---|
| Anders Niixius et al. [ | 1976 | Sweden | A series of 229 cases of Achilles tendon rupture | Nr | 134 (121 m, 13 f) were due to sports activities, 5 (3.7%) of which were due to table tennis | Nr |
| Andrade et al. [ | 2010 | Pan American Games (XV Pan Am) held in Rio de Janeiro, Brazil in July of 2007 | 5 table tennis players | Nr | 0% (dental injuries) | Nr |
| Barrell et al. [ | 1981 | United Kingdom | A series of 118 ocular lesions | Nr | 1 case (0.8%) due to table tennis | Nr |
| Chandran [ | 1974 | Malaysia | A series of 63 cases of ocular lesions | Nr | 2 cases (3.2%) due to table tennis | Nr |
| Correa-Mesa and Correa-Morales [ | 2015 | Colombia | 50 athletes (9 f, 41 m) out of 52 athletes initially recruited | Nr | Shoulder (28%), knee (26%), and lumbosacral region (10%) | No risk factors found |
| Correa-Mesa [ | 2015 | Colombia | 178 athletes (141 m, 37 f) | 21.77 y | 44% (129 injuries), with rotator cuff syndrome being the most common disorder (10.6%). Shoulder (17%), knee (16%), back (9.3%) and elbow (9.3%) were the most affected sites. The most prevalent type of injury was tendinopathy (38.2%), followed by benign muscle injuries (17.1%) and sprain lesions (10.9%). | Higher BMI, female gender, older age, and longer training time were found to be significantly associated with an increased injury frequency. |
| de la Torre Combarros et al. [ | 2007 | Spain | 355 athletes (198 m, 157 f) | 9–21 y | 2.8% | 66.6% during the first day of the championship, 60% during the first hour of the afternoon |
| Di Carlo et al. [ | 1997 | Venezuela | 26 athletes (18 m, 8 f) | 10–50 y | Shoulder (84.6%), lumbago (100%), supraspinatus tendinitis (63.6%), biceps tendinitis (36.4%) | 54.6% of injured subjects in the range 10–20 y |
| Engebretsen et al. [ | 2012 | 2012 Olympic Games | 174 athletes (88 f, 86 m) | Nr | 11 (6.3%) reported injuries. Seven (4.0%) and 2 (1.1%) injuries led to time loss ≥1 day and >7 days. | Seven (70.0%) occurred during the competition and 3 (30.0%) during training. |
| Fernández Córdova and Barrios González [ | 2008 | Cuba | 16 players (8 f, 8 m) | 21 y, range 16–26 y | Bursitis and synovitis (88%), lumbago (75%), tendinitis (25.21%), sacrolumbalgia (10.08%), tenosynovitis (8.40%), chondromalacia and insertion impairment (7.56%), other injuries such as fasciitis, ganglionitis, capsulitis, subluxations, Osgood–Schlatter disease, herniated disc, and residual meniscus (7.56%) | International competitions, practice |
| Folorunso et al. [ | 2010 | Nigeria | 40 athletes (24 m, 16 f) | 8 < 20 y, 32 > 20 y | 25% (upper limb chronic pain) | Nr |
| Fong et al. [ | 2008 | Hong Kong | A series of 240 ankle injuries out of a total of 1715 sports-related lesions and injuries | Nr | 6 due to table tennis: 3 (1.3%) were ankle injuries, 3 (1.5%) ligamentous sprains | Lower ankle injury rate with respect to other sports, such as basketball or soccer. |
| Hill et al. [ | 1985 | United Kingdom | 130 patients with dental injuries related to 21 sports activities | Nr | Few table tennis-related injuries | Nr |
| Jeffers [ | 1988 | USA | A series of 203 ocular lesions | Nr | 2 cases due to table tennis | Nr |
| Junge et al. [ | 2009 | Summer Olympic Games 2008 | 10,977 registered athletes | Nr | 9 athletes (5.2%) were injured, with an estimated 2.6% of athletes reporting time-loss injuries. One injury was a fracture and 1 a dislocation/rupture of the tendon or ligament. | Five athletes (83.3%) reported injuries during training, only 1 (16.7%) during competition. |
| Kelly and Nolan [ | 1983 | Ireland | A series of 45 consecutive patients (37 m, 8 f; 5 cases lost at follow-up) | 25 y | 1 case due to table tennis | Nr |
| Kondric et al. [ | 2011 | Slovenia | 83 athletes of which 29 table tennis players | 19.52 ± 4.21 y | Shoulder girdle (17.3%), spine (16.6%), ankle (15.8%), foot (10.1%), and wrist (12.2%) | No risk factors found (training and competition reporting equal injury rates, also comparing females and males). |
| Laoruengthana et al. [ | 2009 | 37th Thailand National Games 2008 in Phitsanulok, Thailand | 276 athletes (124 m, 152 f) | Nr | 0% | Nr |
| Linderoth et al. [ | 2006 | Sweden | 85 athletes (only 44 taking part in the study) | Nr | 79.5% (strain injuries 75%, upper limb 40%, lower extremity 35%, back injuries 22%, neck injuries 3%) | Poor warm-up and stretching, gender (women reporting more injuries to the upper extremity), poor resting after injuries |
| Lo et al. [ | 1990 | Hong Kong | 373 students (242 m, 130 f) | Nr | Shoulder impingement (1.3%) | Nr |
| Lovell et al. [ | 1995 | Australia | A series of 189 chronic injuries | Nr | 1 case of chronic groin pain | Nr |
| Majewski et al. [ | 2006 | Switzerland | A 10-year survey of 123,653 athletes | Nr | 37 cases of knee joint traumas | Nr |
| Rajabi et al. [ | 2012 | Iran | 52 m athletes, of which 22 took part in the study | 57 ± 5 y | Osteoarthritis (78.3%) | Nr |
| Shida et al. [ | 1992 | Japan | 303 university students (166 m, 137 f) | 13–21 y | 59.4% (lumbago 23.5%, knee joint injury 13.4%, tenosynovitis, and sprains being the most common injuries) | Age (70% of injuries in high school), practice for more than 5 years, more than 20 h per week, poor training program |
| Shida et al. [ | 1994 | Japan | 210 athletes (111 m, 99 f), with 100 taking part in the study | Nr | 64.8% (lumbago, 25.1%, shoulder 15.7%, knee 14.1%) | Nr |
| Shimazaki et al. [ | 2012 | Brazil | 111 athletes | 23 ± 9 y | Injury rate of 0.5 injuries per athlete | International/national players (52.9%) versus regional players (48.8%), |
| Soligard et al. [ | 2017 | Brazil, XXXI Olympic Games, hosted by Rio de Janeiro from 5 to 21 August 2016 | 11,274 athletes (6185 m, 5089 f) from all disciplines (nr for table tennis) | Nr | 0–3% | No risk factors identified |
| Tin-Oo and Razali [ | 2012 | Malaysia | 180 athletes | 12–27 y | 0% (oral injuries) | Nr |
Abbreviations: Nr (not reported); y (years).
List of case reports and case series included in the present scoping review.
| Case Report/Case Series | Type of Injury |
|---|---|
| Avery et al., 1990 [ | Catastrophic injuries |
| Copcu, 2004 [ | Tumor |
| Dufek et al., 1999 [ | Orthopedic injuries |
| Fujiwara, 1995 [ | Cardiological injuries |
| Kexue, 1996 [ | Orthopedic injuries |
| Le Floch et al., 2010 [ | Neurological injuries |
| Li, 1996 [ | Orthopedic injuries |
| Nicolini et al., 2014 [ | Orthopedic injuries |
| Petschnig et al., 1997 [ | Orthopedic injuries |
| Pieper et al., 1993 [ | Orthopedic injuries |
| Pintore and Maffulli, 1991 [ | Orthopedic injuries |
| Ron et al., 1983 [ | Orthopedic injuries |
| Scott and Scott, 1989 [ | Dermatological injuries |
| Turk et al., 2008 [ | Catastrophic injuries |
Figure 1PRISMA flow-chart.
Risk of bias assessment of the observational studies included in the present scoping review (excluded clinical cases reports/case series).
| Authors | Percentage of “Yes” | Interpretation |
|---|---|---|
| Anders Niixius et al. [ | 30.0% | High risk of bias |
| Andrade et al. [ | 33.3% | High risk of bias |
| Barrell et al. [ | 50.0% | Moderate risk of bias |
| Chandran [ | 60.0% | Moderate risk of bias |
| Correa-Mesa and Correa-Morales [ | 11.1% | High risk of bias |
| Correa-Mesa [ | 55.6% | Moderate risk of bias |
| de la Torre Combarros et al. [ | 90.0% | Low risk of bias |
| Di Carlo et al. [ | 33.3% | High risk of bias |
| Engebretsen et al. [ | 60.0% | Moderate risk of bias |
| Fernández Córdova and Barrios González [ | 30.0% | High risk of bias |
| Folorunso et al. [ | 22.2% | High risk of bias |
| Fong et al. [ | 60.0% | Moderate risk of bias |
| Hill et al. [ | 60.0% | Moderate risk of bias |
| Jeffers [ | 40.0% | High risk of bias |
| Junge et al. [ | 50.0% | Moderate risk of bias |
| Kelly and Nolan [ | 60.0% | Moderate risk of bias |
| Kondric et al. [ | 11.1% | High risk of bias |
| Laoruengthana et al. [ | 40.0% | High risk of bias |
| Linderoth et al. [ | 11.1% | High risk of bias |
| Lo et al. [ | 22.2% | High risk of bias |
| Lovell et al. [ | 70.0% | Moderate risk of bias |
| Majewski et al. [ | 40.0% | High risk of bias |
| Rajabi et al. [ | 100.0% | Low risk of bias |
| Shida et al. [ | 44.4% | High risk of bias |
| Shida et al. [ | 22.2% | High risk of bias |
| Shimazaki et al. [ | 60.0% | Moderate risk of bias |
| Soligard et al. [ | 60.0% | Moderate risk of bias |
| Tin-Oo and Razali [ | 33.3% | High risk of bias |