Epidemiology and Trends of Weightlifting-Related Sprains and Strains that Presented to Emergency Departments in the United States

Burekhovich, Steven A.; Newman, Jared M.; Shah, Neil V.; Onuoha, Kemjika O; Le, Cuong Viet; Persaud, Christine S.; Naziri, Qais; Sodhi, Nipun; Chaudhri, Moiuz; N, Joseph; Basu, Niladri; Urban, William P.; Zikria, Bashir A.

doi:10.1615/jlongtermeffmedimplants.2018026168

Cited by 5 publications

(5 citation statements)

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“…Deviations from a neutral spinal alignment during performance of the barbell back squat, henceforth referred to as the squat, and deadlift strength training exercises could be a risk for future low back pain (Sjoberg, Aasa, Rosengren, & Berglund, 2018). Since the interest of strength sports is growing worldwide, and injuries in the low back are common in powerlifters (Stromback, Aasa, Gilenstam, & Berglund, 2018) and are becoming more common in weightlifters (Burekhovich et al, 2018), physiotherapists often treat patients whose pain is associated with either performance of the squat or the deadlift. In the process of rehabilitation, the physiotherapists analyse the movement patterns of lifters during performance of the pain-provoking exercises to examine whether side bending, rotating or flexing of the lumbar spine during the lift is associated with the lifters' pain experience.…”

Section: Introductionmentioning

confidence: 99%

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Aasa

Bengtsson

Berglund

et al. 2019

Sports Biomechanics

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The aims of the study were to evaluate the relative and absolute variability of upper (T11-L2) and lower (L2-S2) lumbar spinal alignment in power-and weightlifters during the deadlift and back squat exercises, and to compare this alignment between the two lifting groups. Twenty-four competitive powerlifters (n = 14) and weightlifters (n = 10) performed three repetitions of the deadlift and the back squat exercises using a load equivalent to 70% of their respective one-repetition maximum. The main outcome measures were the three-dimensional lumbar spinal alignment for start position, minimum and maximum angle of their spinal alignment, and range of motion measured using inertial measurement units. Relative intra-trial reliability was calculated using the two-way random model intraclass correlation coefficient (ICC) and absolute reliability with minimal detectable change (MDC). The ICC ranged between 0.69 and 0.99 and the MDC between 1°-8°for the deadlift. Corresponding figures for the squat were 0.78-0.99 and 1°-6°. In all participants during both exercises, spinal adjustments were made in both thoracolumbar and lumbopelvic areas in all three dimensions. In conclusion, when performing three repetitions of the deadlift and the squat, lumbar spinal alignment of the lifters did not change much between repetitions and did not differ significantly between power-and weightlifters.

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Section: Introductionmentioning

confidence: 99%

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Aasa

Bengtsson

Berglund

et al. 2019

Sports Biomechanics

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“…The scientic challenge in practice with this framework has been the proper parametrisation of 1) the training load [40,55,654,883]; 2) the recovery state and preparedness to train [322,394,537]; 3) injury risk prediction [356,357,601,755,881]. Out of these three goals, training load and recovery state are within practical reach at current technological maturity level, whereas injury prediction seems overly challenging [315,356,357,385,386,599,678] 1 , mainly due to inherent low prevalence of injuries in athletic population [101,105,344,377,397,627,686,743,878], which subsequently leads to injury prediction models with poor predictive power [348,504].…”

Section: Precision Strength Trainingmentioning

confidence: 99%

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Teikari¹,

Pietrusz²

2021

Preprint

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In strength training, personalised strength training (autoregulation) approaches have been used to individualise exercise programs with monitoring an for dynamic adjustment based on their responses to training. While this transition from tradition-based training to evidence-based training framework has been an improvement in training practices, we argue that the future of strength training will also incorporate deep learning models powered by data. We refer to this data-driven framework as precision strength training inspired by the similar modeling frameworks used in precision medicine. In contrast to current personalised training in which the acquired athlete data is often subject to human expert decision-making, we are anticipating the rise of human-in-the-loop systems with an augmented coach who will be doing decisions collaboratively with the machine. Similar to other precision frameworks, such as precision health, we envision such a future to take decades to be realised and we focus here on practical short-term targets on a way to long-term realisation. In this chapter, we will review the measurement technology needed for continuous data acquisition from an individual during training/physical activity, how to acquire these datasets for the development of such systems and, how a proof-of-concept system could be developed for powerlifting training with applicability to general strength and conditioning (S&C) and physical rehabilitation purposes. Additionally, we will evaluate how the user experience (UX) of the system feedback and visualisation could be designed.

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“…Injuries due to weightlifting can range from mild sprains to muscle, tendon, and ligament tears to bone fractures. These injuries can be debilitating and have long-term consequences 11 19 . Prior studies have determined the lower back and knee to be among the most frequently injured anatomical locations in weightlifting injuries, but this usually depends on the movement performed 11 13 20 .…”

Section: Introductionmentioning

confidence: 99%

Lower Body Weightlifting Injuries Treated in United States Emergency Departments from 2012–2021

Aceto,

Cassinat,

Ghattas

et al. 2024

Int J Sports Med

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Weightlifting has become an increasingly popular form of exercise that has been shown to have many health benefits but can be dangerous if performed improperly. The objective of this study was to describe the epidemiology of lower body weightlifting injuries in the United States. The National Electronic Injury Surveillance System database was queried from January 1, 2012 to December 31, 2021 for lower body injuries related to using weightlifting equipment. Demographics, diagnosis, disposition, and mechanism of injury (MOI) were analyzed. There were 7,773 lower extremity weightlifting injuries identified from 2012-2021, giving a national estimate of 311,842 injuries. The most common MOI was dropped weight (n = 1785, 22.96%). Deadlifts were the most cited exercise that led to lower extremity injury (n = 503, 6.47%). Males were more likely than females to be injured (76% males vs. 24% females; p < 0.001), especially by compound movements with free weights including squats (79.63% males vs 19.96% females, p<0.03) and deadlifts (83.89% males vs. 16.10% females, p<0.001). Nearly all injuries were treated as outpatient but those admitted to the hospital were significantly older than those treated as outpatients (38.0 years vs. 31.2 years, p<0.05). Weightlifting carries a high risk of injury due to the intensity and technique required for the different movements involved.

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Epidemiology and Trends of Weightlifting-Related Sprains and Strains that Presented to Emergency Departments in the United States

Cited by 5 publications

References 0 publications

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Lower Body Weightlifting Injuries Treated in United States Emergency Departments from 2012–2021

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