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Academic literature on the topic 'Injury risk factors'

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Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Injury risk factors"

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KRAVCHENKO, ELENA N. "RISK FACTORS OF BIRTH INJURY." Fundamental and Clinical Medicine 3, no. 3 (September 2018): 54–58. http://dx.doi.org/10.23946/2500-0764-2018-3-3-54-58.

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Goldman, Joshua, and Jennifer Beck. "YOUTH MARATHON TRAINING: INJURY EPIDEMIOLOGY & RISK FACTORS." Orthopaedic Journal of Sports Medicine 7, no. 3_suppl (March 1, 2019): 2325967119S0006. http://dx.doi.org/10.1177/2325967119s00063.

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Background Youth participation in long distance running has increased yet little data exist about the injury patterns and safety of such activity. There are inherent training challenges in youth athletes that theoretically increase their risk of injury relative to their adult counterparts. These include their ongoing neuromuscular development and evolving gait, vulnerable growth open plates, increasing limb length that outpaces muscle growth, and reduced heat tolerance. Students Run LA (SRLA), now in its 30th year of operation, is a non-profit organization that mentors youth during an eight-month marathon training program. While there are many program benefits, little is known about the safety of distance running in adolescent athletes. This study sought to determine the types and rates of injuries in a subset of SRLA participants. Methods & Study Design From August 2017 - March 2018, weekly injury reports were digitally collected by volunteer coaches. Data collection included demographics, injury type, severity, acuity, time off and training mileage. Results 50 high schools and 34 middle schools participated, representing 1930/2750 (70.2%) of total SRLA participants. Mean age was 15 (SD 1.9). 1922/1930 (99.6%) completed the marathon. 411 injuries occurred in 353/1930 (18%) runners during the training program. HS runners were more likely to be injured than MS runners (20.8% vs. 14.2%, p<0.001). There was no difference in injury rates between male and female runners (46.7% vs. 53.2%, p=0.153). 72% of injuries were acute, 16% were subacute, 3% chronic, and 9% unspecified. 60.1% of injuries were associated with time off with a mean time off of 4.8 days (SD 4.8). The most frequent sites of injury were the knee (33%), leg (19%), ankle (15%), and foot (14%). Overall, runners with injuries ran significantly more miles per week than uninjured runners (14.6 vs. 12 .0, p<0.001), a pattern that was consistent at the MS (14.1 vs. 11.6, p<0.001) and HS levels (15 vs. 12.1, p<0.001). Conclusions 18% of youth marathon participants reported an injury over the course of an 8-month training program. The majority of injuries were acute. There was no significant difference in injury rates between males & females but HS runners were more likely to be injured than MS runners. 99.6% of study participants successfully completed the marathon, a higher completion rate than seen in adults. Significance This study represents one of the largest descriptions of injury prevalence in youth distance running. The results highlight an injury rate in youth runners comparable to adults during a marathon training program and a race completion rate that is higher than adults. These findings may lead to changes in the current Position Statement with regard to youth marathon participation. Acknowledgements Orthopedic Institute for Children Students Run LA
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Barker, Howard B., Bruce D. Beynnon, and Per A. F. H. Renström. "Ankle Injury Risk Factors in Sports." Sports Medicine 23, no. 2 (February 1997): 69–74. http://dx.doi.org/10.2165/00007256-199723020-00001.

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Craig, Brian N., Jerome J. Congleton, Eric Beier, Carter J. Kerk, Alfred A. Amendola, and William G. Gaines. "Occupational Risk Factors and Back Injury." International Journal of Occupational Safety and Ergonomics 19, no. 3 (January 2013): 335–45. http://dx.doi.org/10.1080/10803548.2013.11076992.

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Gabel, Christine L., and Susan G. Gerberich. "Risk Factors for Injury among Veterinarians." Epidemiology 13, no. 1 (January 2002): 80–86. http://dx.doi.org/10.1097/00001648-200201000-00013.

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Hertz, Robin P., and Edward A. Emmett. "Risk Factors for Occupational Hand Injury." Journal of Occupational and Environmental Medicine 28, no. 1 (January 1986): 36–41. http://dx.doi.org/10.1097/00043764-198601000-00010.

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Tuggy, Michael L., and Ric Ong. "Injury Risk Factors among Telemark Skiers." American Journal of Sports Medicine 28, no. 1 (January 2000): 83–89. http://dx.doi.org/10.1177/03635465000280012601.

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Guse, Clare E., Hongyan Yang, and Peter M. Layde. "Identifying risk factors for medical injury." International Journal for Quality in Health Care 18, no. 3 (June 1, 2006): 203–10. http://dx.doi.org/10.1093/intqhc/mzi106.

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Baumgartner, Baier, Schmitz, and Farthmann. "Minor Traumatic Brain Injury: Risk factors." Swiss Surgery 8, no. 6 (December 1, 2002): 259–65. http://dx.doi.org/10.1024/1023-9332.8.6.259.

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Ziel: Identifizierung von Risikofaktoren für eine intrakranielle Blutung bei leichtem Schädelhirntrauma (SHT), die eine Überwachung auf der Intensivstation erforderlich machen. Methode: Anhand von Krankenakten wurden retrospektiv 464 Patienten ausgewertet, die mit der initialen Diagnose "leichtes SHT" in unserer Klinik von Januar 1996 bis Dezember 1997 behandelt wurden. Klinische und diagnostische Befunde, die auf eine erhöhte Blutungswahrscheinlichkeit hindeuten, wurden eruiert. Resultate: 67.5% der Patienten waren männlich, das Durchschnittsalter lag bei 36.1 Jahren. Häufigste Unfallursache waren Stürze (27.4%) und Fahrrad-/Mopedunfälle (24.8%). 30.4% der Patienten waren alkoholisiert. 17.2% der Fälle waren bei Aufnahme bewusstseinsgestört und 12.5% zeigten neurologische Auffälligkeiten. Bei zehn Patienten wurde eine intrakranielle Blutung nachgewiesen, die während der Primärdiagnostik entdeckt wurden. Diskussion/Schlussfolgerungen: Ein erhöhtes Risiko für eine intrakranielle Blutung haben Patienten folgender Gruppen: Alter > 60 und < 16 Jahre, Stürze als Unfallursache, Tachykardie, GCS < 15, Bewusstseinstrübung, neurologische Ausfälle, Schädelfrakturen und Koagulationsstörungen. Alkoholisierte Patienten sind klinisch schwer zu beurteilen und deshalb als Risikogruppe zu betrachten. Patienten mit Risikofaktoren sollten auf einer Intensivstation überwacht werden. Patienten ohne Risikofaktoren können auf einer Normalstation überwacht bzw. nach erneuter Untersuchung nach wenigen Stunden entlassen werden.
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Clayton, John L., Mitchel B. Harris, Sharon L. Weintraub, Alan B. Marr, Jeremy Timmer, Lance E. Stuke, Norman E. McSwain, Juan C. Duchesne, and John P. Hunt. "Risk factors for cervical spine injury." Injury 43, no. 4 (April 2012): 431–35. http://dx.doi.org/10.1016/j.injury.2011.06.022.

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Dissertations / Theses on the topic "Injury risk factors"

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Baker, Paul. "Occupational risk factors for meniscal injury." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393511.

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Choi, Youn Su. "Risk Factors for Childhood Agricultural Injury." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269028264.

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Abbott, Thomas. "Cardiovascular risk factors for perioperative myocardial injury." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/31705.

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Background: Myocardial injury affects up to one in three patients undergoing non-cardiac surgery. However, very little is known about the underlying pathophysiology. In the general population, patients with elevated resting heart rate are at increased risk of cardiac events, mortality, heart failure and autonomic dysfunction, while hypertension is a well described risk factor for cardiovascular disease. I hypothesised that common abnormalities of heart rate or blood pressure were associated with myocardial injury after non-cardiac surgery. Methods: This thesis comprises a series of secondary analyses of data from five prospective multi-centre epidemiological studies of surgical patients. The main outcome of interest was myocardial injury, defined using objective measurement of cardiac troponin. I used logistic regression analysis to test for association between exposures and outcomes. Results: In a large international cohort, patients with high preoperative heart rate had increased risk of myocardial injury and patients with very low preoperative heart rate had reduced risk of myocardial injury. Patients with elevated preoperative pulse pressure had increased risk of myocardial injury, independent of existing hypertension or systolic blood pressure. High heart rate, or high or low systolic blood pressure during surgery, was associated with increased risk of myocardial injury. In a separate study, elevated preoperative heart rate was associated with cardiopulmonary and autonomic dysfunction, and reduced left ventricular stroke volume, suggestive of heart failure. Finally, autonomic dysfunction, identified using cardiopulmonary exercise testing, was associated with elevated preoperative heart rate, elevated plasma NT-Pro-BNP (indicative of heart failure) and postoperative myocardial injury. Conclusions: Elevated preoperative heart rate, autonomic dysfunction and subclinical heart failure may be part of a common phenotype associated with perioperative myocardial injury. Further research is needed to characterise the pathological processes responsible for myocardial injury, and to identify potential therapeutic targets.
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Gjolberg, Ivar Henry. "Predicting injury among nursing personnel using personal risk factors." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/281.

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The purpose of this thesis was to develop a means of predicting future injury among nursing personnel working in a hospital system. Nursing has one of the highest incidence rates of musculoskeletal injuries among U.S. occupations. Endemic to the job are tasks such as rolling, sitting, standing, and transferring large, and often times, uncooperative patients. These tasks often place large biomechanical stresses on the musculoskeletal system and, in some cases, contribute to or cause a musculoskeletal injury. Given the current nursing shortage, it is imperative to keep nurses injury-free and productive so they can provide patient care services. Even though a large number of nursing personnel are injured every year and most are exposed to these high levels of biomechanical stress, the majority of nurses are injury-free. The question then arises "Why do some nurses have injuries while others do not?" The purpose of this thesis was to determine whether individual attributes in a population of nurses were associated with risk of future injury. The subject population was comprised of 140 nursing personnel at a local hospital system hired between April 1995 and February 1999. Data on individual attributes, such as patient demographics, previous injuries, posture, joint range of motion, flexibility, and muscular strength, was ascertained during a post-offer screening on these personnel. Twenty six (19%) nurses experienced an injury associated with the axial skeleton. Chi square test for homogeneity for the categorical predictor variables, and the Student's T-test for continuous predictor variables were used to determine if any individual attributes were associated with future injuries. None of the variables were associated with a risk of future axial skeletal injury. Practical application of these results for St. Joseph Regional Health Center, and possibly other acute care facilities, directs us to stop costly pre-employment/post-offer testing for the purpose of identifying injury prone nurse applicants. Secondly, it allows the focus of limited resources to be on making the job safer through administrative and engineering controls.
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DUNNING, KARI KIMBERLY. "RISK FACTORS ASSOCIATED WITH FALLS DURING PREGNANCY." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1054129938.

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Kristenson, Karolina. "Risk factors for injury in men´s professional football." Doctoral thesis, Linköpings universitet, Avdelningen för samhällsmedicin, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117170.

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This thesis includes four papers based on three different prospective cohort studies on injury characteristics in men’s professional football. The same general methodology was used in all papers. Time-loss injuries and player individual exposure was registered for match and training separately. The general aim was to investigate potential internal and external risk factors for injury, with a focus on age, playing position, time in professional football, playing surface (artificial turf and natural grass), changes between surfaces and climate; and to evaluate the study methodology. Paper I was based on data collected between 2001 and 2010 from 26 top professional clubs in Europe; the UCL injury study. In total, 6140 injuries and 797 389 hours of exposure were registered. A decreased general injury rate was observed for newcomers compared with established players (hazard ratio (HR), 0.77; 95% CI 0.61-0.99). Using goalkeepers as a reference, all outfield playing positions had significantly higher age-adjusted injury rates. Using players aged ≤ 21 years as a reference, the overall adjusted injury rate increased with age, with a peak injury rate among players aged 29 to 30  years (HR, 1.44; 95% CI, 1.24-1.68). Paper II and Paper III are based on data collected during two consecutive seasons, 2010 and 2011, in the Swedish and Norwegian male first leagues. In total, 2186 injuries and 367 490 hours of football exposure were recorded. No statistically significant differences were found in acute injury rates on artificial turf (AT) compared with natural grass (NG) during match play (rate ratio, 0.98, 99% CI 0.79-1.22) or training (rate ratio 1.14, 99% CI 0.86-1.50) when analysing at the individual player level. However, when analysing at the club level, clubs with AT installed at their home arena had a significantly higher acute training injury rate (rate ratio 1.31, 99% CI 1.04-1.63) and overuse injury rate (rate ratio 1.38, 99% CI 1.14-1.65) compared to clubs with NG installed at their home venue. No association was found between frequent surface shifts and subsequent overuse injury risk (risk ratio 1.01, 95% CI 0.91-1.12). Analyses on the total cohort showed no difference in injury rates between clubs in the two climate zones (total rate ratio 1.01, 95% CI 0.92-1.10). Data included in Paper IV were collected during two consecutive seasons 2008 and 2009. During this period, two Norwegian elite football clubs were concurrently included in two research groups’ surveillance systems. The capture rate for match injuries was similar between the two audits, while the capture rate for training injuries was slightly higher with individual-based exposure recording. The inter-rater agreement in injury variable categorisations was in most aspects very high.
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Hislop, Michael. "Injury risk factors and preventive strategies in schoolboy Rugby Union." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723331.

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The injury risk associated with schoolboy Rugby has been raised as a matter of public concern, leading to calls to formulate appropriate preventive strategies. Consequently, this programme of research was undertaken to investigate characteristics that might influence injury risk in schoolboy rugby players, as well as interventions to reduce injury risk. The first study of this thesis (Chapter Three) presents a two-season prospective cohort study, which identifies several anthropometric characteristics and physical fitness components associated with injury risk in schoolboy Rugby players. Chapter Four outlines a staged approach to formulating a preventive exercise programme for use in schoolboy Rugby based on scientific evidence, expert knowledge, and end user opinion. In Chapter Five, the efficacy of a preventive exercise programme to reduce injury risk in schoolboy Rugby players is evaluated, demonstrating clinically meaningful reductions in concussion risk when compared with a standardised control exercise programme. In addition, greater programme compliance and dose are found to accentuate reductions across many match-derived injury outcomes measures. Finally, Chapter Six highlights meaningful associations between coach-related psychosocial factors and coaches’ compliance with using a preventive exercise programme, which may be useful in future with formulating strategies to enhance compliance with programme use. To summarise, this thesis addresses the identification of potentially modifiable risk factors and applies a novel approach to reduce injury risk in schoolboy Rugby players, emphasises the importance of compliance and dose in moderating the influence of preventive exercise programme efficacy, and outlines the associations between coach-related psychosocial factors and coaches’ compliance with using a preventive exercise programme in a schoolboy Rugby population.
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Bengtsson, Håkan. "Match-related risk factors for injury in male professional football." Doctoral thesis, Linköpings universitet, Avdelningen för fysioterapi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142788.

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Background: Injuries are common in professional football, especially during matches, and they cause suffering for players, in both the short and the long term. It is therefore important to try to prevent these injuries. One of the most important steps in injury prevention is to fully understand the different risk factors that contribute to these injuries. Aim: The aim of this thesis was therefore to investigate several match-related factors that have been suggested to be important for the risk of sustaining injuries during professional football matches. Methods: The thesis consists of four papers, and all analyses are based on data gathered during a large-scale prospective cohort study that has been running since 2001: the UEFA Elite Club Injury Study. Medical teams from 61 clubs have been involved in this study, and they have prospectively gathered data about football exposure and injuries for their first team players. Associations between the following factors and injuries have been analysed: • Match characteristics in terms of match venue, match result, and competition • Match congestion, both short and long term, and at team and individual player level • Number of completed training sessions between return to sport after an injury and the first match exposure Results: All match characteristics studied were shown to be associated with injury rates, with higher injury rates during home matches compared with away matches, in matches that were lost or drawn compared with matches won, and in domestic league and Champions League matches compared with Europa League and other cup matches. It was also shown that injury rates, muscle injury rates in particular, were higher if the recovery time between matches was short. This association between match congestion and injury rates was shown when match congestion was considered at both team and individual player level. Finally, the odds of injury during the first match exposure after a period of absence due to injury was found to be higher if players had completed few training sessions between return to sport and their first match. Conclusion: There are several match-related risk factors that contribute to the injury rate during professional football matches. A better understanding of these risk factors will help teams to make better estimations of the injury risks to which players are exposed in different situations (e.g. during periods of match congestion and when players return to sport after an injury). Knowledge about risk factors will also offer the possibility of reducing the number of injuries for football teams by addressing them with appropriate measures.
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Ekegren, Christina Louise. "Agreement and validity of observational risk screening guidelines in evaluating ACL injury risk factors." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/1622.

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Study Design: Methodological study. Objectives: To examine the agreement and validity of using observational risk screening guidelines to evaluate ACL injury risk factors. Background: Post-pubescent females have an increased risk of anterior cruciate ligament (ACL) injury compared with their male counterparts partly due to their high-risk landing and cutting strategies. There are currently no scientifically-tested methods to screen for these high risk strategies in the clinic or on the field. Methods and Measures: Three physiotherapists used observational risk screening guidelines to rate the neuromuscular characteristics of 40 adolescent female soccer players. Drop jumps were rated as high risk or low risk based on the degree of knee abduction. Side hops and side cuts were rated on the degree of lower limb 'reaching'. Ratings were evaluated for intrarater and interrater agreement using kappa coefficients. 3D motion analysis was used as a gold standard for determining the validity of ratings. Results: Acceptable intrarater and interrater agreement (k≥0.61) were attained for the drop jump and the side hop, with kappa coefficients ranging from 0.64 to 0.94. Acceptable sensitivity (≥0.80) was attained for the side hop and the side cut, with values ranging from 0.88 to 1.00. Acceptable specificity (≥0.50) was attained for the drop jump, with values ranging from 0.64 to 0.72. Conclusion: Observational risk screening is a practical and cost-effective method of screening for ACL injury risk. Based on levels of agreement and sensitivity, the side hop appears to be a suitable screening task. Agreement was acceptable for the drop jump but its validity needs further investigation.
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Ferguson, Kerry Jean. "The epidemiology of injury and risk factors associated with injury in first league field hockey players." Master's thesis, University of Cape Town, 1998. http://hdl.handle.net/11427/26984.

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This study investigated the epidemiology of injury in a population of first league field hockey players during a playing season, establishing the true incidence (injuries/ 1000 hours) of injury, as well as the risk factors associated with field hockey injuries. Both the epidemiology of field hockey injuries, and associated risk factors, have not been well investigated on an international level, and no data on Southern African players have been published. A study population of 222 first league hockey players (males n= 111, females n= 111) from one particular region were followed over the duration of a hockey season (7 months). A preseason player profile questionnaire established player characteristics and training methods. A pre-season fitness assessment recorded the flexibility (sit and reach test), muscle power (standing broad jump), speed (40 m sprint) and endurance capacities (double winder) of all the players. Male players performed significantly better in the muscle power (p=0.0001), speed (p=0.0001) and muscle endurance (p=0.0001) tests compared to female players. However, female players recorded significantly better flexibility results (p=0.012) compared with male players. Player position influenced the results of the pre-season fitness assessment. Attacking players (strikers, midfielders) achieved significantly better results in the muscle power (p=0.0704), speed (p=0.0003) and muscle endurance (p=0.002) tests compared with defending players (defenders, goalkeepers). During the prospective study, an injury report form was completed for players that sustained injuries during the season. An injury was defined as physical damage that resulted in (i) a player being unable to complete the match or practise, (ii) a player missing a subsequent match or practise, or (iii) a player requiring medical attention. An overall incidence of injury of 10/1000 hours was reported for the playing population, with an injury risk of 0.59 injuries per player per season. No other study of hockey injuries has recorded the true incidence of injury. A number of factors were associated with field hockey injuries. The incidence of injury was significantly greater in matches compared to practices (p=0.003). The highest incidence of injury was recorded in the beginning of the season (month 2) (16 injuries/1000 hrs). Strikers reported the highest incidence of injury (11/1000 hrs). In certain instances, the player position could be associated with an injury to a specific anatomical area or mechanism of injury. For example, goalkeepers sustained significantly more upper limb injuries than players in outfield positions (p=0.001), which can be attributed to the nature of their play. The activities of a goalkeeper include diving, and fending off the ball with their hands. The most frequently injured anatomical areas were similar to those reported in other studies of field hockey injuries, namely the fingers (1.6/1000 hrs), knee (1.4/1000 hrs) and ankle (1.4/1000 hrs) joints, and hamstring muscle (0.8/1000 hrs). The type of injuries sustained were predominantly muscle strains (2.4/1000 hrs), ligament sprains (2/1000 hrs) and fractures (1.7/1000 hrs). The most frequent mechanism of injury was tackling (2.3/1000 hrs). There was a significantly higher incidence of injury reported on artificial turf (13/1000 hrs) compared with grass (4/1000 hrs) (p=0.015). Players who discontinued hockey due to injury missed an average of four subsequent matches or practices. There was no significant association between past injury history, pre-season training, stretching methods, equipment usage and pre-season fitness assessments and the incidence or epidemiology of injury in hockey players.
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Books on the topic "Injury risk factors"

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Bradley, Clare. Injury risk factors, attitudes, and awareness: A submission to the CATI-TRG. Canberra: Australian Institute of Health and Welfare, 2004.

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Harrell, W. Andrew. Accident history, perceived risk of personal injury, and job mobility as factors influencing occupational accident fatalism. Edmonton, Alberta: Department of Sociology, The University of Alberta, 1985.

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O'Sullivan, Kieran. The role of muscle strength in hamstring injury. Hauppauge, N.Y: Nova Science Publishers, 2010.

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Hudock, S. D. Risk profile of cumulative trauma disorders of the arm and hand in the U.S. mining industry. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1992.

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Johnson, Urban. The long term injured competitive athlete: A study of psychosocial risk factors. Stockholm: Almqvist & Wiksell International, 1997.

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Hoste, Eric A. J., John A. Kellum, and Norbert Lameire. Definitions, classification, epidemiology, and risk factors of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0220_update_001.

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The lack of a precise biochemical definition of acute kidney injury (AKI) resulted in at least 35 definitions in the medical literature, which gave rise to a wide variation in reported incidence and clinical significance of AKI, impeded a meaningful comparison of studies.The first part of this chapter describes and discusses different definitions and classification systems of AKI. Patient outcome and the need for renal replacement therapy are directly related to the severity of AKI, an observation that supports the use of a categorical staging system rather than a simple binary descriptor. The severity of AKI is commonly characterized using the relative changes in serum creatinine and urine output. Recently introduced staging systems including the RIFLE classification and the Acute Kidney Injury Network (AKIN) use these relatively simple and readily available parameters allowing the assignment of individual patients to different AKI stages. More recently, a Kidney Disease: Improving Global Outcomes (KDIGO) workgroup developed a consensus-based AKI staging system drawing elements of both RIFLE and AKIN. The potential pitfalls and limitations of the proposed definitions and classifications are briefly described.The second part of the chapter describes the epidemiology of AKI in different clinical settings; the intensive care unit (ICU), the hospitalized population, and the community. The different spectrum of AKI in the emerging countries is discussed and the most important causes and aetiologies of the major clinical types of AKI, prerenal, renal, and post-renal are summarized in table form. Finally the patient survival and renal functional outcome of AKI are briefly discussed
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Pickett, Charles William Lawrence. Medications as risk factors for non-fatal agricultural injury in Ontario. 1995.

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Lameire, Norbert. Prevention of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0224_update_001.

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The prevention of acute kidney injury (AKI) should start with an assessment of the risk to develop AKI, by identification of co-morbidities, use of potentially nephrotoxic medications, and early recognition of acute reversible risk factors associated with AKI. This chapter discusses first the most relevant general risk factors for AKI and describes the recent introduction of several surveillance systems. In addition, some specific risk factors play a role in the pathogenesis of post-cardiac surgery AKI. Finally risks associated with commonly used drugs such as non-steroidal anti-inflammatory drugs, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, statins, and warfarin are considered.
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Diagnostics, Risk Factors, Treatment and Outcomes of Acute Kidney Injury in a New Paradigm. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03936-087-1.

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Abhishek, Abhishek, and Michael Doherty. Epidemiology and risk factors for calcium pyrophosphate deposition. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0048.

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Calcium pyrophosphate crystal deposition (CPPD) is rare in younger adults but becomes increasingly common over the age of 55 years, especially at the knee. Ageing and osteoarthritis (OA) are the main attributable risk factors. Hyperparathyroidism, hypomagnesaemia, haemochromatosis, and hypophosphatasia are other less common risk factors. Rare families with familial CPPD have been reported from many different parts of the world, and mainly present as young-onset polyarticular CPPD. Recent studies suggest that CPPD occurs as the result of a generalized constitutional predisposition and may also associate with low cortical bone mineral density. Previous meniscectomy, joint injury, and constitutional knee malalignment are local biomechanical risk factors specifically for knee chondrocalcinosis. Although associated with OA, current evidence suggests that CPPD does not associate with development or progression of OA.
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Book chapters on the topic "Injury risk factors"

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O’Leary, James A. "Preconceptual Risk Factors." In Shoulder Dystocia and Birth Injury, 1–11. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-473-5_1.

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O’Leary, James A. "Antepartum Risk Factors." In Shoulder Dystocia and Birth Injury, 15–31. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-473-5_2.

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O’Leary, James A. "Intrapartum Risk Factors." In Shoulder Dystocia and Birth Injury, 49–58. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-473-5_4.

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Rosner, Mitchell H., Claudio Ronco, and Dinna N. Cruz. "Incidence, Risk Factors, and Outcome." In Managing Renal Injury in the Elderly Patient, 3–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39947-3_2.

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Ryynänen, Jaakko, Mats Börjesson, and Jón Karlsson. "Match-Related Factors Influencing Injury Risk." In Return to Play in Football, 63–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55713-6_5.

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Hume, Patria A., Elizabeth J. Bradshaw, and Gert-Peter Brueggemann. "Biomechanics: Injury Mechanisms and Risk Factors." In Gymnastics, 75–84. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118357538.ch7.

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Kong, Yuhan, John H. Zhang, and Xinyue Qin. "Perimesencephalic Subarachnoid Hemorrhage: Risk Factors, Clinical Presentations, and Outcome." In Early Brain Injury or Cerebral Vasospasm, 197–201. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0353-1_34.

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Ostermann, Marlies. "Epidemiology, Incidence, Risk Factors, and Outcomes of Acute Kidney Injury." In Core Concepts in Acute Kidney Injury, 3–11. New York, NY: Springer US, 2018. http://dx.doi.org/10.1007/978-1-4939-8628-6_1.

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Wakino, Shu. "Risk Factors for AKI Development in Surgery (Non-cardiac Surgery)." In Acute Kidney Injury and Regenerative Medicine, 59–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1108-0_5.

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Joki, Nobuhiko, Yasushi Ohashi, Yuri Tanaka, Toshihide Hayashi, Ken Sakai, and Hiroki Hase. "Risk Factors for AKI Development in Acute Decompensated Heart Failure." In Acute Kidney Injury and Regenerative Medicine, 69–83. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1108-0_6.

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Conference papers on the topic "Injury risk factors"

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Benedetti, Marco, Kathleen D. Klinich, Miriam A. Manary, and Carol A. C. Flannagan. "Factors Affecting Child Injury Risk in Motor-Vehicle Crashes." In 63rd Stapp Car Crash Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2019-22-0008.

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Mizuguchi, A., S. Waikar, J. Bonventre, DJ Sugarbaker, and G. Frendl. "Risk Factors for Acute Kidney Injury Following Extrapleural Pneumonectomy." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a4482.

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Demal, T. J., F. Sitzmann, L. Bax, J. Konertz, D. Gaekel, J. Brickwedel, H. Reichenspurner, and C. Detter. "Risk Factors for Acute Kidney Injury in Aortic Surgery." In 50th Annual Meeting of the German Society for Thoracic and Cardiovascular Surgery (DGTHG). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1725638.

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Guo, Siyi, Liuqi Jin, Jiaoyun Yang, Mengyao Jiang, Lin Han, and Ning An. "Causal Extraction from the Literature of Pressure Injury and Risk Factors." In 2020 IEEE International Conference on Knowledge Graph (ICKG). IEEE, 2020. http://dx.doi.org/10.1109/icbk50248.2020.00087.

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Perez, Graciela, Janis Davis-Street, Ugochi Irikannu, and Kathy Maltchev. "Addressing Non-Occupational Risk Factors for Repetitive Stress Injury in the Workplace." In SPE International Conference on Health, Safety, and Environment. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/168400-ms.

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Sari Tetra Dewi, Fatwa, Septi Kurnia Lestari, Ratri Kusuma Wardani, and Agung Nugroho. "Risk Factors of Injury in Urban and Rural Areas in Sleman, Yogyakarta." In The 4th International Conference on Public Health 2018. Masters Program in Public Health, Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/theicph.2018.03.21.

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Owoeye, OBA, LM Palacios-Derflingher, and CA Emery. "O10 Risk factors for ankle sprain injury in youth soccer and basketball." In 7th International Ankle Symposium, 2017. BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine, 2017. http://dx.doi.org/10.1136/bjsports-2017-anklesymp.10.

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Akepati, Sreekanth Reddy, and Sunanda Dissanayake. "Identification of Risk Factors Associated with Injury Severity of Work Zone Crashes." In First Congress of Transportation and Development Institute (TDI). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41167(398)123.

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Putman, B., A. Singh, R. Zeig-Owens, C. Hall, T. Schwartz, M. Webber, H. Cohen, D. Prezant, L. Lahousse, and M. Weiden. "Risk Factors for Treatment of Airway Injury in World Trade Center-Exposed Firefighters." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a2489.

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Dong, Beidi, Clair White, and David Weisburd. "184 Shared risk and protective factors for crime and poor health on the street." In Society for the Advancement of Violence and Injury Research (SAVIR) 2020 conference abstracts. BMJ Publishing Group Ltd, 2020. http://dx.doi.org/10.1136/injuryprev-2020-savir.74.

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Reports on the topic "Injury risk factors"

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Wang, Lei, Yi Dong, Xiaochai Lv, Jianzhi Du, Yongqiang Qiu, Xiaofu Dai, and Liangwan Chen. Risk factors for acute kidney injury after surgery of type A acute aortic dissection: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0100.

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Reynolds, K. R., A. Cline, J. White, D. Jezior, and M. Gaul. Injury and Illness Incidence and Risk Factors in Female Enlisted Basic Trainees and Female Officer Basic Trainees. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada339391.

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Shibukawa-Kent, Renee L. A Case-Control Study of Risk Factors for Low Back Injury in Employees of a Large Home Improvement Retail Company. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada419835.

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Cheng, Yin, Shuyan Chen, Weiwei Zhao, and Yanhong Zhang. Prevalence and risk factors for non-suicidal self-injury behavior in adolescents: an umbrella review of meta-analysis and systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2021. http://dx.doi.org/10.37766/inplasy2021.3.0022.

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