Notes from the Field: The Construction of a Logistical Model for Sports-Related Injury Risk Assessment. A Cross-Sectional Pilot Study

2021 ◽  
pp. 016327872110650
Author(s):  
Shahin Ahmedov ◽  
Musa Oytun ◽  
Figen Yaman Lesinger
Keyword(s):  
Injury Risk ◽  
Gluteus Maximus ◽  
Specific Pattern ◽  
Sports Activity ◽  
Cross Sectional ◽  
Muscle Imbalance ◽  
Gluteus Maximus Muscle ◽  
Specific Muscle ◽  
Dynamic Stabilizer ◽  
Core Body

Handball is a high-intensity contact sports activity characterized by repetitive movements, leading to sport-specific muscle patterns. However, at some stage, this pattern may turn into imbalance, predisposing athletes for injuries. The complexity of muscular interactions often makes it difficult to see a whole picture of an athlete’s postural disorders and assess them within the framework of his stereotyped movements. We attempted to find an association between the muscle pattern and the number of injuries in a limited group of handball players by constructing a static logistical model. The constructed decision table of the static logistical model included seven conditional attributes of the muscle imbalance as preconditions for injury development and one decision attribute representing the number of experienced injuries of 25 university handball players. The findings displayed a sport-specific pattern of muscle alignment in athletes without or only one injury. However, all players with repetitive injuries had unilateral m. gluteus maximus weakness. In the latter case, impaired core body musculature can lead to increased share forces and stress for the gluteus maximus muscle leading to weakness of this crucial dynamic stabilizer. The logistical model allowed defining muscle imbalance associated with sports-related injuries in a limited group of athletes.

scholarly journals Analisis Faktor Yang Berhubungan Dengan Postur Kerja Karyawan di Kantor Pusat PT Jasa Marga (Persero) Tbk

2020 ◽  
Vol 12 (2) ◽  
pp. 159-168
Author(s):  
Nur Asniati Djaali ◽  
Dhea Sylvia Fajriah
Keyword(s):  
High Risk ◽  
Injury Risk ◽  
Body Position ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
The Body ◽  
P Value ◽  
Sports Activity ◽  
Cross Sectional ◽  
Work Posture

Work posture is the position of the body when doing work activities. Incorrect work posture is often caused by the location of equipment or facilities, workplace layout, inappropriate work environment conditions, or a combination of several of these factors. Any body position can cause discomfort and fatigue if maintained for a long time, including workers in the office. Therefore this study will be carried out Observation ns of workers at the Head Office of PT. Jasa Marga who works for 8 hours per day using a computer. To minimize the level of injury risk by knowing and identifying work postures on workers using computers. To assess the ergonomic risk of office workers that can cause Musculoskeletal Disorder is by observing ROSA. This research is a quantitative study with a cross-sectional study design. The statistical test used is Chi-square. And using simple random Sampling as many as 88 people. Univariate test results of this study showed that as many as 50 people have a high-risk work posture. based on the results of the bivariate test, it was found that the variables associated with work posture using the ROSA method were anthropometri factors and sports activity factors with p value 0.006 and 0.042. To prevent or reduce high-risk work posture should do modify or replace workstation in the office, and perform workplace stretching exercise when the muscles begin to tense.

The cross-sectional area of the gluteus maximus muscle varies according to habitual exercise loading: Implications for activity-related and evolutionary studies

HOMO ◽  
2016 ◽  
Vol 67 (2) ◽  
pp. 125-137 ◽  
Author(s):  
Sirpa Niinimäki ◽  
Laura Härkönen ◽  
Riku Nikander ◽  
Shinya Abe ◽  
Christopher Knüsel ◽  
...  
Keyword(s):  
Gluteus Maximus ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Cross Sectional ◽  
Evolutionary Studies ◽  
Habitual Exercise ◽  
Gluteus Maximus Muscle ◽  
The Cross

scholarly journals An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study

2021 ◽  
Vol 18 (13) ◽  
pp. 6888
Author(s):  
Hamidreza Naserpour ◽  
Julien S. Baker ◽  
Amir Letafatkar ◽  
Giacomo Rossettini ◽  
Frédéric Dutheil
Keyword(s):  
Knee Injury ◽  
Cruciate Ligament ◽  
Knee Injuries ◽  
Cross Sectional Study ◽  
Lower Extremity Injury ◽  
Sectional Study ◽  
Positive Health ◽  
Sports Activity ◽  
Cross Sectional ◽  
National Team

Karate training, despite the many positive health benefits, carries a risk of injury for participants. The current cross-sectional study aimed to investigate knee injury profiles among Iranian elite karatekas. Participants who attended the national team qualifiers, which included 390 male Kumite karatekas (age 24 ± 3 years old and weight 63 ± 12 kg), participated in this study. Information on knee injuries (injury history, type of injury mechanisms, and effects of knee symptoms on the ability to perform daily activities and recreational activities) were obtained using the Knee Outcome Survey (KOS). Using Pearson’s correlation coefficient, the study examined the relationships between different variables, including KOS subscales and levels of self-reported knee joint function. Our findings indicated that 287 karatekas (73.6%) experienced knee injuries. The anterior cruciate ligament (ACL) rupture (6.9%), articular cartilage (5.4%), and meniscus damage (3.8%) were the main typology of injury. In addition, there were no differences in knee injuries between the non-dominant and dominant legs. Most injuries occurred during the preparatory period (n = 162, 50%), especially during training periods. The KOS subscales scores (Mean ± Sd) for activities of daily living (ADL) and sports activity (SAS) were, respectively, 89 ± 11 and 91 ± 9. The self-reported scores for both the ADL and SAS subscales were, respectively, 89 ± 11 and 90 ± 10. Pearson coefficients of ADL and SAS subscales with their self-reported score were r = 0.761 (p < 0.0001) and r = 0.782 and (p < 0.0001), respectively. The profile of knee injuries in the current investigation is similar to previous surveys that reported lower extremity injury patterns. The findings of this study could be adopted to inform practice aimed at planning interventions for the reduction and prevention of knee injuries among karatekas.

scholarly journals Cross-sectional area of the murine aorta linearly increases with increasing core body temperature

2017 ◽  
Vol 34 (7) ◽  
pp. 1121-1133 ◽  
Author(s):  
A. Colleen Crouch ◽  
Adam B. Manders ◽  
Amos A. Cao ◽  
Ulrich M. Scheven ◽  
Joan M. Greve
Keyword(s):  
Body Temperature ◽  
Core Body Temperature ◽  
Cross Sectional Area ◽  
Sectional Area ◽  
Cross Sectional ◽  
Core Body

scholarly journals Recovery of blood flow regulation in microvascular resistance networks during regeneration of mouse gluteus maximus muscle

2019 ◽  
Vol 597 (5) ◽  
pp. 1401-1417 ◽  
Author(s):  
Charmain A. Fernando ◽  
Aaron M. Pangan ◽  
DDW Cornelison ◽  
Steven S. Segal
Keyword(s):  
Blood Flow ◽  
Gluteus Maximus ◽  
Flow Regulation ◽  
Blood Flow Regulation ◽  
Gluteus Maximus Muscle ◽  
Microvascular Resistance

scholarly journals Investigation of work ability index (WAI) and its relationship with maximal aerobic capacity (VO2max) among cement industry employer

2020 ◽  
Author(s):  
M Kavousian ◽  
A Salehi sashlabadi ◽  
MJ Jafari ◽  
S Khodakarim ◽  
H Rabiei
Keyword(s):  
Sleep Quality ◽  
Aerobic Capacity ◽  
Work Experience ◽  
Cement Industry ◽  
Maximal Aerobic Capacity ◽  
Work Ability Index ◽  
Sports Activity ◽  
Related Factors ◽  
Cross Sectional ◽  
The Mean

Introduction: Given the importance of adapting workers' physical and mental capabilities to their job needs, measuring their ability to work, maintaining, and upgrading, it has become an essential task. This study aimed to investigate WAI and its relationship with VO2max at one of the cement companies. Materials and Methods: This cross-sectional study was conducted among 130 employees of a cement company in Iran in 2018. For data collection, the WAI, Queens's test for maximum oxygen consumption, and a questionnaire designed by researchers (socio-demographic and work-related factors) were used. SPSS 21 was used to analyze the data.  Results: The results showed that the mean ± standard deviation of WAI in staff was 39.35 ± 4.64. Among the demographic and related variables, sports activity (P > 0.04) and sleep quality (P < 0.001), and work experience (P> 0.046) were significantly correlated with WAI. There was a significant positive correlation between the mean score of WAI and Vo2max (r = 0.21, p < 0.05). Regression modeling showed that Vo2max was the only significant predictor of WAI. Conclusion: According to the results of the study, to control and enhance the ability of the staff of the study, occupational intervention programs should focus on improving sleep quality and increased exercise. Also, considering the positive relationship of Vo2max to the WAI of the surveyed staff, it is recommended to select suitable employees in terms of aerobic capacity according to the workload of the job.

scholarly journals Magnitude and associated factors of Perioperative hypothermia in patients who underwent Elective surgery at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.

2019 ◽  
Vol 6 (2) ◽  
pp. 4332-4336 ◽  
Author(s):  
Mulualem S. Fekede ◽  
Wosenyeleh A. Sahile
Keyword(s):  
Body Temperature ◽  
Room Temperature ◽  
Elective Surgery ◽  
Addis Ababa ◽  
Core Body Temperature ◽  
P Value ◽  
Healthy Human ◽  
Cross Sectional ◽  
Perioperative Hypothermia ◽  
Core Body

Background : Body temperature is a vital sign and 37°C is the mean core body temperature of a healthy human. Core body temperature is normally tightly regulated and maintained within narrow range. Perioperative hypothermia is one of the major problems during surgery and anesthesia that can affect operated patients. Methods: Institutional based cross-sectional study was conducted. Patient interview, chart review and temperature measurement were employed for data collection. Temperature was measured using tympanic membrane thermometer. SPSS version 20 software was used for analysis. binary logistic regression was used to look at associations anda p-value of <0.05 was considered statistically significant. Result :The overall magnitude of preoperative, intra and post-operative hypothermia in this study was 16.2%, 53.2% and 31.3%, respectively. Age (AOR=7.15, 95% CI, 1.16, 43.99), coexisting illness (AOR, 3.32, 95% CI, 1.06; 10.36), preoperative hypothermia (AOR; 57; 95% CI; 7.1, 455.4), operation room temperature (AOR=1.91; 95 % CI, 1.04; 3.5) and crystalloid fluids administered (AOR; 2.3; 95% CI, 1.07, 4.9) were found to be factors associated with intraoperative hypothermia. Conclusion and recommendation: The magnitude of perioperative hypothermia remains high. Measures should focus on improving room temperature and warming up fluids. Susceptible patients like the aged and those with coexisting disease should be given extra attention.  

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