Spatiotemporal Gait Parameters as Predictors of Lower-Limb Overuse Injuries in Military Training

Springer, Shmuel; Gottlieb, Uri; Lozin, Mariya

doi:10.1155/2016/5939164

Cited by 17 publications

(17 citation statements)

References 33 publications

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“…For example, measurement of physical fitness using maximal oxygen intake (VO 2 max), which was reported to predict attrition and injuries, can be determined by a simple two-mile or three-mile run time [6,10]. In contrast to simpler evaluation methods, a computerized analysis of gait was used by Springer et al to identify certain specific gait parameters that predicted lower limb injuries among infantry soldiers [20]. Tiggelen et al reported that measurement of isokinetic strength could distinguish between recruits who would or would not develop anterior knee pain [21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Two Simple Functional Tests to Predict Attrition from Combat Service in Female Light Infantry Soldiers

2018

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BackgroundWorldwide, there is a high attrition rate, or dropout rate, from combat in trained soldiers, mainly due to musculoskeletal injuries. This study aimed to determine whether the use of an upper limb stability test, the Upper Quarter Y-Balance Test (UQYBT), and a modified version of the Ranger Test (MRT) that included a lower limb step-up endurance test, could predict attrition from combat service in female infantry soldiers.Material/MethodsIn 2015, a group of 167 newly recruited female light infantry soldiers were evaluated using the UQYBT and the MRT. Data regarding attrition from combat service were collected in 2017, 18 months after screening. Multiple logistic regression analysis was used to determine the predictive effect of body mass index (BMI), UQYBT, and MRT scores on attrition from combat service.ResultsFifty-three female soldiers (31.7%) dropped out of combat service during the 18 months following recruitment. The MRT score was a significant predictor of attrition, with each additional incremental increase in the MRT score reducing the attrition rate by 6.8% (OR=0.934; 95% CI, 0.895–0.975). A cutoff MRT score of 12 increments predicted attrition with 73.7% sensitivity and 50.9% specificity. The UQYBT scores and BMI were not significant predictors.ConclusionsThe use of the MRT during military training, was a predictive screening method to predict attrition from combat service in Israeli female infantry soldiers. Further studies are required to evaluate the use of the MRT in other groups of women in the military.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Two Simple Functional Tests to Predict Attrition from Combat Service in Female Light Infantry Soldiers

2018

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“…The length of the step was de ned as the anteroposterior distance between the left and right heel markers at each initial contact. The de nitions of spatiotemporal gait parameters presented in this study were the same as in a previous study that investigated lower-limb overuse injuries among military recruits [24]. The stride time variability was calculated as 100 × (stride time SD/mean stride time), the stride length variability was calculated as 100 × (stride length SD/mean stride length), the step length asymmetry was calculated as 100 × ln(right step length/left step length).…”

Section: Gait Assessmentmentioning

confidence: 99%

Increased stride variability may predict lower leg overuse injuries among infantry soldiers

Nesterovica

Vaivads²,

Stepens

2022

Preprint

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Background A high incidence of lower leg overuse injury has been observed among military populations. Footwear usage could be promising in reducing the risk of injury from overuse of the lower extremities. The purpose of this study was to identify possible gait-related risk factors for lower leg overuse injuries when walking barefoot and in military boots. MethodsCases (n=32) were active-duty infantry soldiers from Latvian Land Forces with a history of overuse injury during the last 6 months of service before entering the study. During the study period, the cases recovered completely from the injury, did not report any functional limits, and were able to participate in all kinds of physical activities. Controls (n=32) of the same age and gender were free of injury in the same time period. Study participants were instructed to walk on a 5-meter walkway in the gait laboratory. Joint angle calculations and spatiotemporal gait parameters were evaluated for barefoot and shod conditions.Results Gait-related parameters during shod and barefoot conditions differ in both groups. The barefoot stride time and the stride time variability were statistically different between cases and controls. Conditional regression analysis showed that stride time variability during barefoot gait statistically significantly predicted the risk of lower leg overuse injury. ROC analysis showed an AUC of 0.77 (p<0.01; 95% CI 0.65-0.88), a sensitivity of 56%, and a specificity of 88%, with an optimal cut-off value for stride time variability of 1.95%.ConclusionsThe risk of injury was independent of the gait-related characteristics during shod gait. Stride time variability has low sensitivity, but if the variability value during the barefoot walk is less than 1.95%, it can be considered a negative risk factor for lower leg overuse injury among infantry soldiers.

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“…Mokha et al (2016) found asymmetry functional movement screen (FMS) score as a better predictor of musculoskeletal injuries. Springer et al (2016) found that gait analysis can be used in the diagnosis of shoulder overuse injury. Azzam et al (2015) and Whittaker et al (2017) had suggested to focus on high-quality cohort studies to find the most relevant results of movement quality in the prediction of risk of injury.…”

Section: Introductionmentioning

confidence: 99%

A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters

Gogoi

Rajpoot

Borah

2021

Teor. metod. fiz. vihov.

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The study purpose was to follow a prospective cohort study design to use gait kinematic parameters to identify the risk factors and to develop a statistical model to predict running-related lower limb injuries of sportspersons. Materials and methods. BTS G-WALK® gait analysis system was used to collect gait kinematic data of 87 subjects from an institute of physical education and sports science. The subjects were followed for a full academic season after which the researcher inquired about their injury occurrences. Binary logistic regression was used to develop a prediction model to predict lower limb injuries of sportspersons. Results. The result of the study revealed that increasing Range of Obliquity, Range of Tilt and Range of Rotation were associated with increased likelihood of future running-related lower limb injury. However, the lower Symmetry Index was associated with increase in the likelihood of future running-related lower limb injury. Conclusions. The study confirmed that it is possible to predict injury, but for practical implication further research is essential with a bigger sample size.

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Spatiotemporal Gait Parameters as Predictors of Lower-Limb Overuse Injuries in Military Training

Cited by 17 publications

References 33 publications

Evaluation of Two Simple Functional Tests to Predict Attrition from Combat Service in Female Light Infantry Soldiers

Evaluation of Two Simple Functional Tests to Predict Attrition from Combat Service in Female Light Infantry Soldiers

Increased stride variability may predict lower leg overuse injuries among infantry soldiers

A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters

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