Journal articles on the topic 'Injury risk factors'

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1

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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2

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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3

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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8

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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9

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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11

Slap, Gail, Dolores Vorters, Sharmila Chaudhuri, and Robert Contor. "Risk factors for injury during adolescence." Journal of Adolescent Health Care 8, no. 3 (May 1987): 304. http://dx.doi.org/10.1016/0197-0070(87)90523-7.

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Slap, Gail B., Sharmila Chaudhuri, and Dolores F. Vorters. "Risk factors for injury during adolescence." Journal of Adolescent Health Care 11, no. 3 (May 1990): 276. http://dx.doi.org/10.1016/0197-0070(90)90412-u.

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Slap, Gail B., Sharmila Chaudhuri, and Dolores F. Vorters. "Risk factors for injury during adolescence." Journal of Adolescent Health 12, no. 3 (May 1991): 263–68. http://dx.doi.org/10.1016/0197-0070(91)90021-d.

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14

Beckett, A., M. F. Kordick, and S. B. Chan. "324: Risk Factors for Dive Injury." Annals of Emergency Medicine 50, no. 3 (September 2007): S102. http://dx.doi.org/10.1016/j.annemergmed.2007.06.385.

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15

Emery, Carolyn A., Willem H. Meeuwisse, and Sara E. Hartmann. "Evaluation of Risk Factors for Injury in Adolescent Soccer." American Journal of Sports Medicine 33, no. 12 (December 2005): 1882–91. http://dx.doi.org/10.1177/0363546505279576.

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Background There are limited data on the epidemiology of adolescent soccer injury across all levels of play. Hypothesis Through implementation and validation of an injury surveillance system in adolescent soccer, risk factors for injury will be identified. Study Design Descriptive epidemiology study. Methods The study population was a random sample of 21 adolescent soccer teams (ages 12-18). A certified athletic therapist completed preseason baseline measurements and did weekly assessments of any identified soccer injury. The injury definition included any injury occurring in soccer that resulted in 1 or more of the following: medical attention, the inability to complete a session, or missing a subsequent session. Results Based on completeness of data in addition to validity of time loss, this method of surveillance has proven to be effective. The overall injury rate during the regular season was 5.59 injuries per 1000 player hours (95% confidence interval, 4.42-6.97). Soccer injury resulted in time loss from soccer for 86.9% of the injured players. Ankle and knee injuries were the most common injuries reported. Direct contact was reported to be involved in 46.2% of all injuries. There was an increased risk of injury associated with games versus practices (relative risk = 2.89; 95% confidence interval, 1.69-5.21). The risk of injury in the under 14 age group was greatest in the most elite division. Having had a previous injury in the past 1 year increased the risk of injury (relative risk = 1.74; 95% confidence interval, 1.0-3.1). Conclusion There were significant differences in injury rates found by division, previous injury, and session type (practice vs game). Future research should include the use of such a surveillance system to examine prevention strategies for injury in adolescent soccer.
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16

Gutman, Michael B., Richard J. Moulton, Irene Sullivan, Gillian Hotz, William S. Tucker, and Paul J. Muller. "Risk factors predicting operable intracranial hematomas in head injury." Journal of Neurosurgery 77, no. 1 (July 1992): 9–14. http://dx.doi.org/10.3171/jns.1992.77.1.0009.

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✓ A study was performed to examine the incidence of operable traumatic intracranial hematomas accompanying head injuries of differing degrees of severity, and to see if factors predicting operable mass lesions could be identified. Logistic analysis was used to identify independent predictors of operable traumatic intracranial hematomas. Data were gathered prospectively on 1039 patients admitted with head injury between January, 1986, and December, 1990. Patient age, Glasgow Coma Scale (GCS) score, pupillary inequality, and injury by falling were all independent predictors of the presence of operable intracranial hematomas (p = 0.0000, 0.0000, 0.0182, and 0.0001, respectively). Injury to vehicle occupants was less likely to result in operable mass lesions (p = 0.0001) than injury by other means. The incidence of traumatic intracranial hematomas in patients over 50 years old was three to four times higher than in those under 30 years of age. Not surprisingly, the incidence of operable hematomas increased with decreasing GCS scores. However, even at a GCS score of 13 to 15, patients with other risk factors had a substantial incidence of operable mass lesions. There was a 29% incidence of operable intracranial hematomas for patients with a GCS score of 13 to 15, aged over 40 years and injured in a fall. It is suggested that patients who are middle-aged or older, or those injured in falls, are at particular risk for traumatic intracranial hematomas even if their GCS score is high. These patients should have early definitive investigation with computerized tomography in order to identify operable hematomas and to initiate surgical treatment prior to neurological deterioration from mass effect.
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Ristic, Vladimir, Sinisa Ristic, Mirsad Maljanovic, Vladimir Djan, Vukadin Milankov, and Vladimir Harhaji. "Risk factors for bilateral anterior cruciate ligament injuries." Medical review 68, no. 5-6 (2015): 192–97. http://dx.doi.org/10.2298/mpns1506192r.

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Introduction. The aim of this study has been to identify which risk factors can influence bilateral anterior cruciate ligament injury. Material and Methods. Thirty-two operated patients took part in this survey during the period of ten years. There were 5 women and 27 men, with average age of 30.46 years (19-55). The respondents filled in the questionnaire by answering the questions regarding the time when getting injured and operated, mechanism of injuries, genetic and anthropometric data, characteristics of sports and every day activities. Results. The incidence of reconstructed bilateral injuries in relation to unilateral ones was 2.3% (50/2168). The age of respondents and side of the injured knee did not correlate significantly with the achieved subjective physical activity level after the second knee surgery. The average time from the first injury to operation was 10 months and 4.3 years since that moment up to the injury of the other knee. It took more than 9 months on average until the reconstruction of contralateral anterior cruciate ligament. The most of athletes were injured in football matches. Three-quarters of athletes returned to competition activities after the first operation, which caused the same injury of the contralateral knee. Discussion and Conclusion. Anterior cruciate ligament rupture of the contralateral knee most often occurs in young active athletes within the first four years after the initial reconstruction. Its frequency is not affected by sex, side of extremity, genetic predisposition, type of sport, concomitant injuries and the choice of graft. Returning to the same or higher level of sports activities after the first reconstruction is one of the preconditions for injuring the other knee in the same way.
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R*, Sunil, Mohammad fakruddin, Amogh C, and Nutan kumar DM. "Sepsis Induced Acute Kidney Injury: Clinical Profile, Risk Factors and Outcomes in Tertiary Referral Centre." International Journal of Innovative Research in Medical Science 02, no. 01 (January 1, 2017): 441–43. http://dx.doi.org/10.23958/ijirms/vol02-i01/01.

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19

Usset, Timothy J., Erika Gray, Brandon J. Griffin, Joseph M. Currier, Marek S. Kopacz, John H. Wilhelm, and J. Irene Harris. "Psychospiritual Developmental Risk Factors for Moral Injury." Religions 11, no. 10 (September 24, 2020): 484. http://dx.doi.org/10.3390/rel11100484.

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There is increasing theoretical, clinical, and empirical support for the hypothesis that psychospiritual development, and more specifically, postconventional religious reasoning, may be related to moral injury. In this study, we assessed the contributions of exposure to potentially morally injurious events, posttraumatic stress symptoms, and psychospiritual development to moral injury symptoms in a sample of military veterans (N = 212). Psychospiritual development was measured as four dimensions, based on Wulff’s theory juxtaposing conventional vs. postconventional levels of religious reasoning, with decisions to be an adherent or a disaffiliate of faith. After controlling for exposure to potentially morally injurious events and severity of posttraumatic stress symptoms, veterans who were conventional disaffiliates reported higher scores on the Moral Injury Questionnaire than conventional adherents, postconventional adherents, or postconventional disaffiliates. We conclude that the role of psychospiritual development offers a theoretical approach to moral injury that invites collaboration between social scientists, philosophers, theologians, and medical professionals.
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20

Sugimoto, Dai, Adam J. Loiacono, Alexandra Blenis, Jennifer M. Morse, Dennis R. Borg, and William P. Meehan. "Risk Factors in Elite, Adolescent Male Soccer Players: Prospective Study." Clinical Pediatrics 59, no. 6 (May 18, 2020): 596–605. http://dx.doi.org/10.1177/0009922820916895.

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Purpose. To find risk factors for soccer-related musculoskeletal injuries among elite, adolescent male soccer players. Methods. Prior to the season, various physical, clinical, and functional measurements were taken. One season was used as an injury surveillance period. Then, after the season, measures of potential risk factors were compared between (1) those players who sustained musculoskeletal injuries and (2) those who remained injury free. Results. Among 61 players, 37.7% (23/61) sustained soccer-related musculoskeletal injuries. After adjusting for covariates in a logistic regression model, presence of previous hip and low back injury (adjusted odds ratio [aOR] = 8.93, P = .046) and Functional Movement Screen (FMS) scores (aOR = 1.92, P = .022) were independently associated with musculoskeletal injures. Conclusion. Elite, adolescent male soccer players with a history of hip and back injury are at greater risk of sustaining a soccer-related musculoskeletal injury. In addition, our study indicated greater risk of sustaining a future soccer-related injury as FMS scores increase.
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Louden, Emily, Michael Marcotte, Charles Mehlman, William Lippert, Bin Huang, and Andrea Paulson. "Risk Factors for Brachial Plexus Birth Injury." Children 5, no. 4 (March 29, 2018): 46. http://dx.doi.org/10.3390/children5040046.

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&NA;. "Methotrexate-induced lung injury: risk factors identified." Reactions Weekly &NA;, no. 669 (September 1997): 3. http://dx.doi.org/10.2165/00128415-199706690-00003.

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Moore, Emma J., and James P. Boardman. "Modifiable risk factors for preterm brain injury." Paediatrics and Child Health 24, no. 9 (September 2014): 401–6. http://dx.doi.org/10.1016/j.paed.2014.02.004.

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Ramachandran, Arun, and Manju Nair. "Modifiable risk factors for preterm brain injury." Paediatrics and Child Health 28, no. 9 (September 2018): 412–16. http://dx.doi.org/10.1016/j.paed.2018.07.001.

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Meeuwisse, Willem H., Carolyn A. Emery, and Sara Hartmann. "Risk Factors For Injury An Adolescent Soccer." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S15. http://dx.doi.org/10.1249/00005768-200505001-00110.

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Melton, L. Joseph, and B. Lawrence Riggs. "Risk Factors for Injury After a Fall." Clinics in Geriatric Medicine 1, no. 3 (August 1985): 525–39. http://dx.doi.org/10.1016/s0749-0690(18)30922-4.

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Gastin, P., E. Huntsman, D. Meyer, and J. Cook. "Injury risk factors in elite Australian football." Journal of Science and Medicine in Sport 16 (December 2013): e57. http://dx.doi.org/10.1016/j.jsams.2013.10.136.

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Shen, Jinyu, Zijian Feng, Guang Zeng, and Bao-Ping Zhu. "Risk Factors for Injury During Typhoon Saomei." Epidemiology 20, no. 6 (November 2009): 892–95. http://dx.doi.org/10.1097/ede.0b013e3181bb552f.

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Meeuwisse, Willem H., Carolyn A. Emery, and Sara Hartmann. "Risk Factors For Injury An Adolescent Soccer." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S15. http://dx.doi.org/10.1097/00005768-200505001-00110.

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Knapik, J. J., S. Canada, E. Toney, M. Canham-Chervak, K. Hauret, E. Lescault, and E. Hoedebecke. "INJURY RISK FACTORS AMONG ORDNANCE SCHOOL SOLDIERS." Medicine & Science in Sports & Exercise 35, Supplement 1 (May 2003): S278. http://dx.doi.org/10.1097/00005768-200305001-01542.

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Smith, Helen C., Pamela Vacek, Robert J. Johnson, James R. Slauterbeck, Javad Hashemi, Sandra Shultz, and Bruce D. Beynnon. "Risk Factors for Anterior Cruciate Ligament Injury." Sports Health: A Multidisciplinary Approach 4, no. 1 (November 17, 2011): 69–78. http://dx.doi.org/10.1177/1941738111428281.

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Smith, Helen C., Pamela Vacek, Robert J. Johnson, James R. Slauterbeck, Javad Hashemi, Sandra Shultz, and Bruce D. Beynnon. "Risk Factors for Anterior Cruciate Ligament Injury." Sports Health: A Multidisciplinary Approach 4, no. 2 (November 15, 2011): 155–61. http://dx.doi.org/10.1177/1941738111428282.

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Stanev, S., and E. Dimitrova. "Training risk factors associated with wrestling injury." British Journal of Sports Medicine 45, no. 2 (January 20, 2011): e1-e1. http://dx.doi.org/10.1136/bjsm.2010.081554.67.

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Zwerling, Craig, James A. Merchant, David L. Nordstrom, Ann M. Stromquist, Leon F. Burmeister, Stephen J. Reynolds, and Kevin M. Kelly. "Risk factors for injury in rural Iowa." American Journal of Preventive Medicine 20, no. 3 (April 2001): 230–33. http://dx.doi.org/10.1016/s0749-3797(00)00316-0.

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Bar, J., A. Dvir, M. Hod, R. Orvieto, P. Merlob, and A. Neri. "Brachial plexus injury and obstetrical risk factors." International Journal of Gynecology & Obstetrics 73, no. 1 (April 2001): 21–25. http://dx.doi.org/10.1016/s0020-7292(00)00385-4.

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Mason, S., G. Turpin, D. Woods, J. Wardrope, and A. Rowlands. "Risk factors for psychological distress following injury." British Journal of Clinical Psychology 45, no. 2 (June 2006): 217–30. http://dx.doi.org/10.1348/014466505x50158.

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Christianson, L. M., V. E. Bovbjerg, E. C. McDavitt, and K. L. Hullfish. "Risk factors for perineal injury during delivery." American Journal of Obstetrics and Gynecology 189, no. 1 (July 2003): 255–60. http://dx.doi.org/10.1067/mob.2003.547.

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S. G. Pratt and D. L. Hard. "Injury Risk Factors Associated with AgriculturalWorkplace Fatalities." Journal of Agricultural Safety and Health 4, no. 5 (1998): 29–38. http://dx.doi.org/10.13031/2013.15372.

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Migliorini, Sergio. "Risk factors and injury mechanism in Triathlon." Journal of Human Sport and Exercise 6, no. 2 (Suppl.) (June 2011): 309–14. http://dx.doi.org/10.4100/jhse.2011.62.11.

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Zwerling, Craig, James A. Merchant, Stephen J. Reynolds, Leon F. Burmeister, and Ann M. Stromquist. "Risk Factors for Injury in Rural Iowa." Journal of Agromedicine 4, no. 3-4 (August 8, 1997): 295–302. http://dx.doi.org/10.1300/j096v04n03_13.

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Nkoy, Christopher C., Stuart Willick, Daniel Kushner, and Masa Teramoto. "NICA Injury Surveillance System: Concussion Risk Factors." Medicine & Science in Sports & Exercise 51, Supplement (June 2019): 38. http://dx.doi.org/10.1249/01.mss.0000560604.18037.06.

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Montalva-Iborra, A., M. Alcanyis-Alberola, C. Grao-Castellote, F. Torralba-Collados, and M. Giner-Pascual. "Risk factors in iatrogenic spinal cord injury." Spinal Cord 55, no. 9 (April 4, 2017): 818–22. http://dx.doi.org/10.1038/sc.2017.21.

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Traverso, L. William. "Risk Factors for Intraoperative Injury During Cholecystectomy." Annals of Surgery 229, no. 4 (April 1999): 458–59. http://dx.doi.org/10.1097/00000658-199904000-00002.

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Damsere-Derry, J., B. E. Ebel, C. Mock, F. Afukaar, and P. Donkor. "Risk factors of pedestrians' injury in Ghana." Injury Prevention 16, Supplement 1 (September 1, 2010): A10. http://dx.doi.org/10.1136/ip.2010.029215.35.

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Nam, Young-Hee. "Injury risk factors caused by traffic accidents." Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology 7, no. 10 (October 31, 2017): 745–54. http://dx.doi.org/10.14257/ajmahs.2017.10.53.

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Varrier, Matt, and Marlies Ostermann. "Novel risk factors for acute kidney injury." Current Opinion in Nephrology and Hypertension 23, no. 6 (November 2014): 560–69. http://dx.doi.org/10.1097/mnh.0000000000000061.

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Ham, S. Y., J. Kim, Y. J. Oh, B. Lee, Y. S. Shin, and S. Na. "Risk factors for peri-anaesthetic dental injury." Anaesthesia 71, no. 9 (July 20, 2016): 1070–76. http://dx.doi.org/10.1111/anae.13560.

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Warner, M. A., J. J. Muir, and M. E. Warner. "Incidence and Risk Factors for Dental Injury." Anesthesiology 81, SUPPLEMENT (September 1994): A1232. http://dx.doi.org/10.1097/00000542-199409001-01231.

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Vassallo, Jessica L., Zoë Proctor-Weber, Brian K. Lebowitz, Glenn Curtiss, and Rodney D. Vanderploeg. "Psychiatric risk factors for traumatic brain injury." Brain Injury 21, no. 6 (January 2007): 567–73. http://dx.doi.org/10.1080/02699050701426832.

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Pickett, William, Mary L. Chipman, Robert J. Brison, and D. Linn Holness. "Medications as risk factors for farm injury." Accident Analysis & Prevention 28, no. 4 (July 1996): 453–62. http://dx.doi.org/10.1016/0001-4575(96)00014-0.

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