Relevant bibliographies by topics / Weight training injuries

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Weight training injuries'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Weight training injuries"

1

Reeves, Ronald K., Edward R. Laskowski, and Jay Smith. "Weight Training Injuries." Physician and Sportsmedicine 26, no. 2 (February 1998): 67–96. http://dx.doi.org/10.3810/psm.1998.02.939.

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2

Mazur, Lynnette J., Robert J. Yetman, and William L. Risser. "Weight-Training Injuries." Sports Medicine 16, no. 1 (July 1993): 57–63. http://dx.doi.org/10.2165/00007256-199316010-00005.

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Reeves, Ronald K., Edward R. Laskowski, and Jay Smith. "Weight Training Injuries." Physician and Sportsmedicine 26, no. 3 (March 1998): 54–73. http://dx.doi.org/10.1080/00913847.1998.11440348.

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&NA;. "Weight Training and Back Injuries." Back Letter 13, no. 8 (August 1998): 89. http://dx.doi.org/10.1097/00130561-199808000-00008.

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Risser, William L. "Weight-Training Injuries in Adolescents." Archives of Pediatrics & Adolescent Medicine 144, no. 9 (September 1, 1990): 1015. http://dx.doi.org/10.1001/archpedi.1990.02150330075025.

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Basford, Jeffrey R. "Weightlifting, Weight Training and Injuries." Orthopedics 8, no. 8 (August 1, 1985): 1051–56. http://dx.doi.org/10.3928/0147-7447-19850801-19.

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7

Lodhia, Keith R., Barunashish Brahma, and John E. McGillicuddy. "Peripheral Nerve Injuries in Weight Training." Physician and Sportsmedicine 33, no. 7 (July 2005): 24–37. http://dx.doi.org/10.3810/psm.2005.07.141.

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8

Lombardi, V. P., and R. K. Troxel. "RECREATIONAL WEIGHT TRAINING INJURIES FOR 1995 AND 1996." Medicine & Science in Sports & Exercise 30, Supplement (May 1998): 289. http://dx.doi.org/10.1097/00005768-199805001-01643.

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Lombardi, V. P., and R. K. Troxel. "U.S. DEATHS & INJURIES ASSOCIATED WITH WEIGHT TRAINING." Medicine & Science in Sports & Exercise 35, Supplement 1 (May 2003): S203. http://dx.doi.org/10.1097/00005768-200305001-01125.

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Lombardi, V. P., and R. K. Troxel. "WEIGHT TRAINING INJURIES & DEATHS IN THE U.S." Medicine & Science in Sports & Exercise 31, Supplement (May 1999): S93. http://dx.doi.org/10.1097/00005768-199905001-00307.

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Dissertations / Theses on the topic "Weight training injuries"

1

Painter, Keith B., G. Gregory Haff, N. Travis Triplett, Charles Stuart, Guy Hornsby, Mike W. Ramsey, Caleb D. Bazyler, and Michael H. Stone. "Resting Hormone Alterations and Injuries: Block vs. DUP Weight-Training among D-1 Track and Field Athletes." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/3777.

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Daily undulating periodization (DUP), using daily alterations in repetitions, has been advocated as a superior method of resistance training, while traditional forms of programming for periodization (Block) have been questioned. Nineteen Division I track and field athletes were assigned to either a 10-week Block or DUP training group. Year and event were controlled. Over the course of the study, there were four testing sessions, which were used to evaluate a variety of strength characteristics, including maximum isometric strength, rate of force development, and one repetition maximum (1RM). Although, performance trends favored the Block group for strength and rate of force development, no statistical differences were found between the two groups. However, different (p ≤ 0.05) estimated volumes of work (VL) and amounts of improvement per VL were found between groups. Based upon calculated training efficiency scores, these data indicate that a Block training model is more efficient in producing strength gains than a DUP model. Additionally, alterations in testosterone (T), cortisol (C) and the T:C ratio were measured. Although there were no statistically (p ≤ 0.05) different hormone alterations between groups, relationships between training variables and hormone concentrations including the T:C ratio, indicate that Block may be more efficacious in terms of fatigue management.
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Painter, Keith B., Gregory N. Haff, Travis Triplett, Charles A. Stuart, Guy Hornsby, Michael W. Ramsey, Caleb D. Bazyler, and Michael H. Stone. "Resting Hormone Alterations and Injuries: Block vs “Daily Undulating Periodization” Weight-Training Among Division I Track And Field Athletes." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/5794.

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Books on the topic "Weight training injuries"

1

Shoulder Injuries & Weight Training: Reducing Your Risk. Muscle Magazine Int'l, 2000.

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2

McNab, Chris. Weight Training (Sports Injuries: How to Prevent, Diagnose & Treat). Mason Crest Publishers, 2004.

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3

Lamberti, Irene. Pumping Iron Without Pain. Macmillan USA, 1990.

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4

Perceived benefits of strength training for youth sport participants as determined by orthopedic surgeons. 1993.

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5

A survey of injuries among competitive women bodybuilders. 1990.

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6

The effects of three selected training programs on shoulder external rotation strength, flexibility, and throwing velocity in collegiate baseball players. 1993.

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The effects of three selected training programs on shoulder external rotation strength, flexibility, and throwing velocity in collegiate baseball players. 1993.

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The effects of three selected training programs on shoulder external rotation strength, flexibility, and throwing velocity in collegiate baseball players. 1993.

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9

Effects of strength training on muscle mass and musculoskeletal injury in middle aged and older men. 1992.

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10

Effects of strength training on muscle mass and musculoskeletal injury in middle aged and older men. 1991.

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Book chapters on the topic "Weight training injuries"

1

Fister Jr., Iztok, and Iztok Fister. "Mining Sport Activities." In Advanced Methodologies and Technologies in Media and Communications, 610–21. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7601-3.ch049.

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For many people, sport is one of the stress-relieving activities. People being involved with sport wish to achieve attractive shape, healthy lifestyle, lose weight, and so on. However, there are also people who deal with sport because of competition goals. In order to fulfill their competition goals, they need to train properly. Even for professionals, it is very hard to perform a serious training. On the other hand, recent expansion of smart sport watches and even smart phones allow athletes to train smarter. During the months and years, they produce dozens of activity files. These files offer thousands of opportunities for data mining approaches, where athletes gained a deep insight into their training data. Data mining approaches are able to extract habits of athletes, help to prevent over-training syndrome and injuries, clustering similar activities together, and much more. In this chapter, the authors show opportunities for data mining, enumerate recent applications, and outline future potential for research and applications in the real world.
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Fister Jr., Iztok, and Iztok Fister. "Mining Sport Activities." In Encyclopedia of Information Science and Technology, Fourth Edition, 7348–57. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch639.

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For many people, sport is one of the stress relieving activity. People being involved with sport wish to achieve: attractive shape, healthy lifestyle, lose weights, and so on. However, there are also people who deal with sport because of competition goals. In order to fulfill their competition goals, they need to train properly. Even for professionals, it is very hard to perform a serious training. On the other hand, recent expansion of smart sport watches and even smart phones allow athletes to train smarter. During the months and years, they produce dozens of activity files. These files offer a thousands opportunities for data mining approaches, where athletes gained a deep insight in their training data. Data mining approaches are able to extract habits of athletes, help to prevent over-training syndrome and injuries, clustering similar activities together, and much more. In this chapter, we show opportunities for data mining, enumerate recent applications and outline future potentials for research and applications in real-world.
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Conference papers on the topic "Weight training injuries"

1

Wu, Tzong-Ming, Shu-Yi Wang, and Dar-Zen Chen. "An Upper Limb Exoskeleton for Pinpointed Muscular Exercises With Overextension Injury Prevention." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28631.

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Over-automated equipments and modern city life style lead to the diminishing opportunities for muscle using; however, the comfortable life is not always good for human health, and appropriate muscle training can not only enhance muscular strength and endurance but improve the health and fitness. Different kinds of ideas have been proposed for muscle training by exercise machines, which control direction of resistance for safety sake but isolate specific muscle groups to be trained. Compared with machines, free-weight exercise is a whole-body training in which human limbs can be moved on different planes to train more muscle groups. In this study, an upper limb exoskeleton design is proposed for free-weight exercise to strengthen the principal muscles of upper limb and shoulder. The upper limb exoskeleton is constituted of 3-DOF shoulder joint and 1-DOF elbow joint. The joint torques of shoulder and elbow joint of the exoskeleton match the objective joint torques from a model of free-weight exercise. The principal muscles of human arm and shoulder are training by dumbbell lateral raise, dumbbell frontal raise, dumbbell curl motion, and overhead triceps extension motion. With the arrangement of small-inertia springs, the exoskeleton is capable of preventing the muscle from injuries caused by the huge inertia change. The evaluation of the model was conducted by using isokinetic dynamometer to measure shoulder abduction-adduction, shoulder flexion-extension, and elbow flexion-extension for the male and female adults, and the results matched with the data obtained from the derived model.
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Chumacero-Polanco, Erik A., and James Yang. "Fall Prevention Therapies for Individuals With Stroke: A Survey." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67456.

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Stroke basically consists in brain-cells death due to lack or excess of blood. Stroke has many important consequences and falls are one of the most concerning. Falls can produce several injures from minor lacerations to fractures and death. It has been found that balance and gait impairments after stroke are important risk factors for fall. Hence, improving balance and gait ability in stroke survivors can significantly reduce falls rate. In this literature review, we review the main characteristic and the therapeutic results of different therapeutic interventions aimed at improving balance and walking ability. The main therapeutic interventions included are the Bobath therapy, exercise-based interventions, orthotic and assistive devices, modality treatments, alternative therapies, robotic-assisted training, and computational-based interventions. The parameters considered as evidence of balance and/or gait recovery after a specific intervention are: walking speed (WS), cadence, endurance, stride/step length, weight/walking symmetry, and sway. Our main findings are: 1) The wide use of the Bobath concept is not well supported by evidence due to its performance has been found to be inferior to some exercises-based interventions such as walking training; 2) exercises-based interventions were classified as strength and task-specific training. The former improves muscular and bone health, aerobic capability, and prepares the patient to perform a more demanding activity. The latter is designed as a repetitive training of a functional activity, mainly walking, and sit to stand exercises, which improve both gait and balance. Orthotic and assistive devices have effects on balance and gait but only while they are worn or used; 3) robotic assisted walking-training presented similar results to overground or treadmill walking training in terms of walking speed and balance recovery. However, the most important advantage lies on the reduction of burden for therapists; 4) thee most important use of motion analysis is as a tool for identify the causes deficits in a patient and the to design a therapy in accordance; 5) motion synthesis can be used as a tool to answer very specific questions related to capabilities/limitations of a patient. For instance, “what would be the effect of increasing hip-torque capability of a stroke survivor on the walking-symmetry?” The answer to this question would either help to design an exercise/intervention or to discard such intervention due to low impact; 6) some treatments are added to a main therapy to increase its effect on a given parameter. Functional electrical stimulation, which is added to cycling training to improve motion patterns. Biofeedback is used during balance training to reduce weight-asymmetry. And virtual reality and video games are used to increase motivation and permanence of patient on a therapy; 7) we found some alternative or no widely used therapies. Among the most promising we can mention Tai-Chi exercises, which integrates physical and mental activities to improve balance and gait and rhythmic auditory stimulation that improves WS and weight-symmetry; and 8) orthotics devices help to reduce falls by extending the base of support but the effect appears only while they are worn. In general, there is not an ultimate therapy able to fit to every patient. The choice should depend on patient’s goals and conditions. Moreover, falls can not be eliminated but they can be substantially reduced by improving balance and gait.
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Segala, David B., David Chelidze, Deanna Gates, and Jonathan Dingwell. "Linear and Nonlinear Smooth Orthogonal Decomposition to Reconstruct Local Fatigue Dynamics: A Comparison." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28852.

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Identifying physiological fatigue is important for the development of more robust training protocols, better energy supplements, and/or reduction of muscle injuries. Current fatigue measurement technologies are usually invasive and/or impractical, and may not be realizable in out of laboratory settings. A fatigue identification methodology that only uses motion kinematics measurements has a great potential for field applications. Phase space warping (PSW) features of motion kinematic time series analyzed through smooth orthogonal decomposition (SOD) have tracked individual muscle fatigue. In this paper, the performance of a standard SOD analysis is compared to its nonlinear extension using a new experimental data set. Ten healthy right-handed subjects (27 ± 2.8 years; 1.71 ± 0.10 m height; and 69.91 ± 18.26 kg body mass) perform a sawing motion by pushing a weighted handle back and forth until voluntary exhaustion. Three sets of joint kinematic angles are measured from the elbow, wrist and shoulder as well as surface Electromyography (EMG) from ten different muscle groups. A vector-valued feature time series is generated using PSW metrics estimated from movement kinematics. Dominant SOD coordinates of these features are extracted to track the individual muscle fatigue trends as indicated by mean and median frequencies of the corresponding EMG power spectra. Cross subject variability shows that considerably fewer nonlinear SOD coordinates are needed to track EMG-based fatigue markers, and that nonlinear SOD methodology captures fatigue dynamics in a lower-dimensional subspace than its linear counterpart.
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