| Literature DB >> 36090915 |
Yahai Wang1, Huanhuan Zhou2, Zhibin Nie1, Sidong Cui3.
Abstract
This comprehensive systematic review and meta-analysis assessed the prevalence of Achilles tendinopathy (AT) in physical exercise (PE). Specifically, we estimate the overall risk of AT in physical exercise and compare sport-specific estimates of AT risk. PubMed, Web of Science, Cochrane Library, and SPORTDiscus were searched before the 1st of October 2021. Random-effects, subgroup analysis, sensitivity analysis and meta-regressions were conducted, involving 16 publications. This meta-analysis found that the overall prevalence of AT was 0.06 (95%CI, 0.04-0.07). The prevalence of Achilles tendon rupture was 0.03 (95%CI, 0.02-0.05). Subgroup analysis showed that the prevalence of AT increased with age, the highest among the group aged over 45 (0.08; 95%CI, 0.04-0.11), and the lowest among the group under 18 years old (0.02; 95%CI, 0.01-0.03). The gymnastics and ball games had the highest prevalence of AT, at (0.17; 95%CI, 0.14-0.20) and (0.06; 95%CI, 0.02-0.11), respectively. The prevalence of AT in athletes (0.06; 95%CI, 0.04-0.08) was higher than that of amateur exercisers (0.04; 95%CI, 0.02-0.06) and there was no difference in the prevalence of AT between males and females. There are differences in the prevalence of AT in different ages, sport events and characteristics of participants. This systematic review and meta-analysis suggested that it was necessary to pay more attention to AT in people who were older or engaged in gymnastics.Entities:
Keywords: Achilles tendinopathy; Physical exercise; Prevalence; meta-Analysis
Year: 2022 PMID: 36090915 PMCID: PMC9453689 DOI: 10.1016/j.smhs.2022.03.003
Source DB: PubMed Journal: Sports Med Health Sci ISSN: 2666-3376
Fig. 1A flowchart showing the procedure used for study selection.
Characteristics of included studies in this meta-analysis (16 studies).
| Study | Year | Design | Country | Subject | Age (years) | Sport event | Diagnostic mode | AT/sample |
|---|---|---|---|---|---|---|---|---|
| Bonanno | 2021 | Cross section | America | current and former collegiate gymnasts, | / | Gymnastics | Information about Achilles tendon ruptures, gymnastics-related injuries, sport specialization, event/skills participation, and medication use were collected | 100/581 |
| Cassel | 2014 | Cohort | Germany | Adolescent athletes | 13.0 | Integrated Sports | Doppler ultrasound analysis | 14/760 |
| Cassel | 2018 | Cohort | Germany | Adolescent Elite athletes | 12.1 | Integrated Sports | Ultrasound examinations | 2/157 |
| Comin | 2012 | Cohort | Australia | Professional ballet dancers | 27.42 | Ballet | Ultrasound examinations | 3.5/79 |
| Emerson | 2010 | Cross section | England | Gymnasts | 16.3 | Gymnastics | Ultrasound examinations | 6/40 |
| Florit | 2019 | Cohort | Spain | Athletes | 26.4 | Integrated Sports | Team physicians diagnosed and classified tendinopathies according to anatomical location, sport types, playing category, sex, playing surface, lost training time, and severity (time to return to play) | 110/3839 |
| Ganse | 2014 | Cohort | Germany | European Veteran Athletics | 53.2 | Athletics | Report forms were used to identify injured athletes and injury types | 15/3154 |
| Gajhede-Knudsen | 2013 | Cohort | Sweden | Football players (man) | / | Football | Achilles tendon disorders were registered | 203/1743 |
| Hespanhol Junior | 2012 | Cross section | Brazil | Recreational runners | 43.0 | Running | Previous injuries history over the last 12 months | 8/200 |
| Hunt | 2016 | Cross section | America | College Athletes | / | Athletics | Evaluated the injury records of all varsity sports at a single NCAA Division 1 athletics program | 17/1076 |
| Lagas | 2019 | Cohort | Netherlands | Recreational runners | 41.9 | Running | The digital baseline questionnaire obtained at registration consisted of demographics, training characteristics, previous participation in events, lifestyle and previous running-related injuries | 100/1929 |
| Longo | 2009 | Cross section | Italy | European Veterans Athletics | 54.1 | Athletics | A fully trained orthopaedic surgeon made a diagnosis of Achilles tendinopathy according to clinicalcriteria | 85/178 |
| Nielsen | 2014 | Cohort | Denmark | Novice Runners | / | Running | All injured runners were diagnosed after a thorough clinical examination and then followed prospectively during their recovery | 18/933 |
| Ooi | 2015 | Cohort | Australia | Football athletes | 22.6 | Football | Using ultrasound and sonoelastography, 42 players were examined at baseline and again 9 months later (postseason) for the existence of intratendinous hypoechogenicity | 6/42 |
| Van Ginckel | 2009 | Cohort | Belgium | Novice runners | / | Running | AT was diagnosed as an insidious, gradual onset of mid-portion pain, palpated tenderness along the tendon, (morning) stiffness, tenderness and pain on exertion Structures in the differential diagnosis | 10/129 |
| Walls | 2010 | Cohort | Ireland | Professional Irish dancers | 25.8 | Dance | Magnetic resonance imaging | 14/18 |
Abbreviations: AT, Achilles tendinopathy; NCAA, National Collegiate Athletic Association.
Quality scores for assessing the risk of bias in the included articles.
| Study | Quality score | |||||
|---|---|---|---|---|---|---|
| Sample population | Sample size | Participation | Outcome assessment | Analytical methods | Total score | |
| Bonanno, 2021 | 1 | 1 | 1 | 1 | 2 | 6 |
| Cassel, 2014 | 1 | 1 | 2 | 2 | 2 | 8 |
| Cassel, 2018 | 2 | 1 | 2 | 2 | 2 | 9 |
| Comin, 2012 | 1 | 1 | 2 | 2 | 2 | 8 |
| Emerson, 2010 | 1 | 2 | 2 | 2 | 2 | 9 |
| Florit, 2019 | 1 | 1 | 2 | 2 | 2 | 8 |
| Gajhede-Knudsen, 2013 | 1 | 1 | 2 | 2 | 2 | 8 |
| Ganse, 2014 | 1 | 1 | 2 | 2 | 2 | 8 |
| Hespanhol Junior, 2012 | 1 | 1 | 2 | 1 | 2 | 7 |
| Hunt, 2016 | 2 | 2 | 2 | 2 | 2 | 10 |
| Lagas, 2019 | 1 | 1 | 1 | 1 | 2 | 6 |
| Longo, 2009 | 1 | 1 | 2 | 1 | 2 | 7 |
| Nielsen, 2014 | 1 | 1 | 2 | 1 | 2 | 7 |
| Ooi, 2015 | 1 | 1 | 2 | 2 | 2 | 8 |
| Van Ginckel, 2009 | 1 | 1 | 2 | 2 | 2 | 8 |
| Walls, 2010 | 1 | 1 | 2 | 2 | 2 | 8 |
Results of subgroup analysis and publication bias stratified by study characteristics.
| Variables | Trials ( | Prevalence (95% | Heterogeneity | |
|---|---|---|---|---|
| Overall | ||||
| 23 | 0.06 (0.04–0.07) | 96.8 | ||
| 3 | 0.03(0.02–0.05) | 98.2 | <0.001 | |
| 5 | 0.02 (0.00–0.03) | 37.2 | 0.173 | |
| 9 | 0.05 (0.03–0.07) | 91.5 | ||
| 3 | 0.08 (0.04–0.11) | 98.5 | ||
| 9 | 0.05 (0.03–0.07) | 97.7 | ||
| 8 | 0.05 (0.03–0.08) | 95.6 | ||
| 6 | 0.09 (0.05–0.14) | 96.7 | ||
| 5 | 0.04 (0.02–0.06) | 97.7 | ||
| 3 | 0.17 (0.14–0.20) | 0 | 0.822 | |
| 4 | 0.06 (0.02–0.11) | 97.7 | ||
| 5 | 0.04 (0.02–0.06) | 87.1 | ||
| 6 | 0.06 (0.02–0.11) | 92.1 | ||
| 18 | 0.06 (0.04–0.08) | 97.2 | ||
| 5 | 0.04 (0.02–0.06) | 87.1 | ||
| 4 | 0.02 (0.00–0.04) | 51.7 | 0.102 | |
| 2 | 0.08 (0.00–0.15) | 95.7 | ||
| 2 | 0.08 (−0.01 to 0.18) | 64.5 | 0.093 | |
| 17 | 0.06 (0.04–0.07) | 97.2 | ||
| 4 | 0.06 (0.01–0.10) | 96.9 | ||
CI, confidence interval; p1value for prevalence; p2 value for heterogeneity in the subgroup; significant p-values are highlighted in bold prints.
Fig. 2Forest plot of the pooled prevalence of Achilles tendinopathy from 16 studies (random effects model). ID, identity; CI, confidence interval.
Fig. 3Forest plot of the pooled prevalence of Achilles tendon rupture from 3 studies (random effects model). ID, identity; CI, confidence interval.
Fig. 4The subgroup analysis of the prevalence of Achilles tendinopathy stratified by age (A), gender (B), sport events (C) and characteristics (D). ID, identity; CI, confidence interval.
Fig. 5Sensitivity analysis of the prevalence of Achilles tendinopathy by leave-one-out cross validation.
Fig. 6Forest plot of the pooled prevalence of Achilles tendinopathy after excluding 9 studies. ID, identity; CI, confidence interval.