Pattern and risk factors of sport injuries among amateur football players in Kano, Nigeria

Bello, Bashir; Sa’Ad, Usman; Ibrahim, Aminu A.; Mamuda, Abdulrahman

doi:10.5114/hm.2020.93425

Cited by 6 publications

(4 citation statements)

References 24 publications

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“…Olahraga sepak bola merupakan cara yang efektif untuk meningkatkan tingkat aktivitas fisik dan kebugaran (Hägglund et al, 2013). Pentingnya olahraga ini di negara berkembang tidak dapat dilebih-lebihkan karena memiliki potensi untuk berkontribusi pada pengembangan pribadi dan sosial (Bello et al, 2020).…”

Section: Pendahuluanunclassified

Pengaruh Latihan Shooting dengan Metode Zig-zag dan Bola Diam Terhadap Akurasi Shooting

Purwanto

2022

Porkes

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The purpose of this study was to analyze the effect of shooting practice using the zig-zag method and the fixed ball method on shooting accuracy. The method used is experimental research using a randomized control group pretest posttest design. The sample of this research was 33 club players at SMP Negeri 1 Moutong. 11 people practiced the zig-zag method and 11 people practiced the still ball method and 11 people in the control group with conventional training. The analysis technique used the dependent paired t-test. From the results of the different test, it can be seen that the tcount in the zig-zag method group is 3,490, the silent ball method group is 6,171, the control group is 1,936. The effect obtained from the value of p = 0.006 <0.05 in the zig-zag method group and p = 0.000 <0.05 in the stationary ball method group, which means that both training methods can improve shooting accuracy in soccer games. The conclusion of this study: there is a significant effect of shooting practice using the zig-zag and stationary ball methods on shooting accuracy. The fixed ball method group was better than the zig-zag method group and the conventional group in increasing shooting accuracy.

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Section: Pendahuluanunclassified

Pengaruh Latihan Shooting dengan Metode Zig-zag dan Bola Diam Terhadap Akurasi Shooting

Purwanto

2022

Porkes

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“…players who do high intensity like this, the potential for injury. Frequent and repeated injuries at a young age will have a significant impact on the game in the future [2][3][4][5]. Epidemiological studies report that in several cases it was found that the severity and frequency of injuries on the field in young football players was more visible than in other sports.…”

Section: Introductionmentioning

confidence: 99%

Prone plank test base core muscle strength contribution to anticipate the risk of ankle injury for soccer player

Khasanah

Sugiyanto

Riyadi

2023

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Rationale and purpose Football is the most commonly injured sport, especially ankle injuries. The number of risk factors associated with ankle injuries include warming up, coach knowledge, the physical condition of athletes, and socioeconomic circumstances of athletes. Ankles require strong muscles, especially for soccer players. activities that are too frequent and heavy will potentially cause injury. At the age of adolescents where in growth can affect the risk of injury that can affect in the future. Core muscles play an essential role in body control. The core muscle is vital for stabilizing the lower limbs and ankle joints. Core muscles can be measured with a prone plank test. Sensorimotor ankle mechanism joints are influenced against the risk of an ankle injury. Discussion for core muscle as an intervention against ankle injuries has been a lot, but predictions to anticipate the risk of ankle injury are very low, especially in football players. This study aims to determine the contribution of muscle strength using the prone plank test to anticipate ankle risk in football players. Material and Methods The study respondents were 44 student football players aged between 13-15 years. This study used product-moment correlation analysis. Results The results showed that core muscle strength contributed to the risk of ankle injury by 31.82%. In addition, the product-moment correlation showed that core muscle strength contributed to the risk of ankle injuries (p≤0.05). This research can be a reference for clinicians and coaches to better understand and increase core muscle strength training in anticipation of the risk of an ankle injury. Conclusions This study showed that the relationship between core muscle strength and the prone plank test could predict the risk of an ankle injury. It seems that an exercise routine for core muscle strengthening should be recommended at primary age. These programs should be concentrated and circulated early on in any long-term athlete training model to prevent the risk of ankle injury in football school students. Clinicians and coaches should consider incorporating core muscle strengthening into a daily exercise warm-up program as one of the most important elements and recommend that players do exercises at home. The results showed that predictions of core muscle strength could anticipate the risk of an ankle injury

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“…Sports injuries are the result of a combination of multiple factors. However, due to the limitations of conventional statistical methods and modelling strategies, previous studies have only been able to obtain only information reflecting some factors in the injury risk pattern but not the complete picture of the injury risk pattern ( Waterkamp et al, 2016 ; Bello et al, 2020 ; Isern-Kebschull et al, 2020 ). Therefore, this study proposes an injury risk multimodal fusion model with generality, interpretability and ease of implementation based on a multimodal fusion strategy to suit the multi-source, multimodal data processing and analysis needs in training monitoring.…”

Section: Introductionmentioning

confidence: 99%

A novel lower extremity non-contact injury risk prediction model based on multimodal fusion and interpretable machine learning

Huang

Wang

et al. 2022

Front. Physiol.

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The application of machine learning algorithms in studying injury assessment methods based on data analysis has recently provided a new research insight for sports injury prevention. However, the data used in these studies are primarily multi-source and multimodal (i.e., longitudinal repeated-measures data and cross-sectional data), resulting in the models not fully utilising the information in the data to reveal specific injury risk patterns. Therefore, this study proposed an injury risk prediction model based on a multi-modal strategy and machine learning algorithms to handle multi-source data better and predict injury risk. This study retrospectively analysed the routine monitoring data of sixteen young female basketball players. These data included training load, perceived well-being status, physiological response, physical performance and lower extremity non-contact injury registration. This study partitions the original dataset based on the frequency of data collection. Extreme gradient boosting (XGBoost) was used to construct unimodal submodels to obtain decision scores for each category of indicators. Ultimately, the decision scores from each submodel were fused using the random forest (RF) to generate a lower extremity non-contact injury risk prediction model at the decision-level. The 10-fold cross-validation results showed that the fusion model was effective in classifying non-injured (mean Precision: 0.9932, mean Recall: 0.9976, mean F2-score: 0.9967), minimal lower extremity noncontact injuries risk (mean Precision: 0.9317, mean Recall: 0.9167, mean F2score: 0.9171), and mild lower extremity non-contact injuries risk (mean Precision: 0.9000, mean Recall: 0.9000, mean F2-score: 0.9000). The model performed significantly more optimal than the submodel. Comparing the fusion model proposed with a traditional data integration scheme, the average Precision and Recall improved by 8.2 and 20.3%, respectively. The decision curves analysis showed that the proposed fusion model provided a higher net benefit to athletes with potential lower extremity non-contact injury risk. The validity, feasibility and practicality of the proposed model have been

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Pattern and risk factors of sport injuries among amateur football players in Kano, Nigeria

Cited by 6 publications

References 24 publications

Pengaruh Latihan Shooting dengan Metode Zig-zag dan Bola Diam Terhadap Akurasi Shooting

Pengaruh Latihan Shooting dengan Metode Zig-zag dan Bola Diam Terhadap Akurasi Shooting

Prone plank test base core muscle strength contribution to anticipate the risk of ankle injury for soccer player

A novel lower extremity non-contact injury risk prediction model based on multimodal fusion and interpretable machine learning

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