Dataset Information

Musculoskeletal injuries in athletes from five modalities: a cross-sectional study.

ABSTRACT:

Background

Musculoskeletal injuries (MSK-I) are a serious problem in sports medicine. Modifiable and non-modifiable factors are associated with susceptibility to these injuries. Thus, the aim of this study was to describe the prevalence of and identify the factors associated with MSK-I, including tendinopathy and joint and muscle injuries, in athletes.

Methods

In this cross-sectional observational study, 627 athletes from rugby (n?=?225), soccer (n?=?172), combat sports (n?=?86), handball (n?=?82) and water polo (n?=?62) were recruited at different sports training centres and competitions. Athlete profiles and the prevalence of MSK-I were assessed using a self-reported questionnaire. Only previous MSK-I with imaging confirmation and/or a positive physical exam by a specialized orthopaedist were considered. The association of the epidemiological, clinical and sports profiles of athletes with MSK-I was evaluated by a logistic regression model.

Results

The mean age was 25?±?6?years, and 60% of the athletes were male. The epidemiological, clinical and sports profiles of the athletes were different for the five sport groups. The MSK-I prevalence among all athletes was 76%, with 55% of MSK-I occurring in a joint, 48% occurring in a muscle and 30% being tendinopathy, and 19% of athletes had three investigated injuries. The MSK-I prevalence and injury locations were significantly different among sport groups. There was a predominance of joint injury in combat sports athletes (77%), muscle injury in handball athletes (67%) and tendinopathy in water polo athletes (52%). Age (?30?years) was positively associated with joint (OR?=?5.2 and 95% CI?=?2.6-10.7) and muscle (OR?=?4.9 and 95% CI?=?2.4-10.1) injuries and tendinopathy (OR?=?4.1 and 95% CI?=?1.9-9.3).

Conclusion

There is a high prevalence of tendinopathy and joint and muscle injuries among rugby, soccer, combat sports, handball and water polo athletes. The analysis of associated factors (epidemiological, clinical and sports profiles) and the presence of MSK-I in athletes suggests an approximately 4-5-fold increased risk for athletes ?30?years of age. The identification of modifiable and non-modifiable factors can contribute to implementing surveillance programmes for MSK-I prevention.

SUBMITTER: Goes RA

PROVIDER: S-EPMC7041260 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Publications

Musculoskeletal injuries in athletes from five modalities: a cross-sectional study.

Goes Rodrigo Araújo RA Lopes Lucas Rafael LR Cossich Victor Rodrigues Amaral VRA de Miranda Vitor Almeida Ribeiro VAR Coelho Olívia Nogueira ON do Carmo Bastos Ricardo R Domenis Letícia Aparecida Marincolo LAM Guimarães João Antonio Matheus JAM Grangeiro-Neto João Alves JA Perini Jamila Alessandra JA

BMC musculoskeletal disorders 20200224 1

<h4>Background</h4>Musculoskeletal injuries (MSK-I) are a serious problem in sports medicine. Modifiable and non-modifiable factors are associated with susceptibility to these injuries. Thus, the aim of this study was to describe the prevalence of and identify the factors associated with MSK-I, including tendinopathy and joint and muscle injuries, in athletes.<h4>Methods</h4>In this cross-sectional observational study, 627 athletes from rugby (n = 225), soccer (n = 172), combat sports (n = 86), ...[more]

PMID: 32093651

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Project description:Covid-19 has adversely impacted the health care organizations by over burdening with Covid patients and suspending the elective surgeries and clinics. Hospitalization during pandemic may increase health cost of patients for elective and emergency procedure due to extra cost of covid testing and isolation. A single center retrospective study was conducted to quantify losses due to postponement of elective surgeries and extra cost for procurement of PPEs. The secondary objective was to see the effect of Covid -19 on the total costs of inpatient care during Covid era.Patient and methodWe included all the patients admitted in orthopedic section for operative intervention of fractures and elective procedures from January 1, 2020 to May 31, 2020. We divided this period into two halves; the first half was from January first to March 15 named as PreCovid Era and second half was from March 16, to May 31, 2020, termed as Covid Era. The total number of trauma procedures and elective procedures were compared in both eras. We compared six procedures each from upper and lower limit for cost analysis and length of stay. We also analyzed the extra cost for procurement of PPEs.ResultsA total 625 patients were admitted during study period; 417 in precovid and 208 in covid era. There was 50% reduction in patients admissions during Covid era. There was no statistically significant difference in age and gender of both groups. A total of 840 (591in preCovid era and 251 in Covid era) procedures were performed on these 625 patients. Elective and emergency procedures were significantly reduced in Covid era. There was 55.7% drop in the collective revenue generated in covid era as compared to that of Precovid era. The average length of stay was decreased in Covid era. No statistically significance difference was found in inpatient hospital charges of both groups except for two procedures ankle and proximal humeral fractures; that was significantly reduced in Covid era. There was significantly increase in use of PPE in covid era.ConclusionThe financial income of our service decreased more than 55% due to postponement of elective work. The number of elective and procedures related to musculoskeletal trauma also decreased. The cost for inpatient care did not increase during covid era. There was significant reduction in inpatient hospital stay during covid era. The hospital management had to spent additional expenses on procurement of PPEs.

Dataset Information

Musculoskeletal injuries in athletes from five modalities: a cross-sectional study.

Background

Methods

Results

Conclusion

Publications

Musculoskeletal injuries in athletes from five modalities: a cross-sectional study.

Similar Datasets

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