The effectiveness of the functional movement screen in determining injury risk in tactical occupations

The effect of auto-generated corrective exercise programming on movement literacy among firefighters: a pilot study

INTRODUCTION

Approximately 50% of firefighter injuries occur in the musculoskeletal system. Poor movement quality increases injury risk, while movement-based interventions may reduce injuries.

PURPOSE

Investigate the effectiveness of auto-generated exercise programming on movement literacy scores among firefighters with lower baseline Functional Movement System (FMS™) scores.

METHODS

Eleven male firefighters (mean age 44) with FMS™ scores less than 14/21 were included. Detailed explanations of the seven movement screens, five clearing procedures, and scoring were provided prior to baseline FMS™ assessments. Firefighters attempted each test up to three times, with highest scores retained. Scores ranged from 0 to 3 for each of the seven movement screens, with a maximum composite score of 21. Completed test scores were reviewed, and a report was provided to each firefighter through the FMS™PRO App. Additionally, auto-generated programs from the FMS™PRO App with exercise figures, descriptions, and videos to be performed prior to routine conditioning programs were provided. On average, participants were followed up after 262 days for a re-assessment.

RESULTS

Mean composite scores significantly improved (p = .003) from 11.2 to 15.6/21, with a large effect size (r = 0.9). Individual item scores significantly improved for the deep overhead squat, hurdle, shoulder mobility, and rotary stability (p ≤ .046), with effect sizes of r = 0.3-0.8. Significant changes were not present for the inline lunge, active straight leg raise, and trunk stability push-up (p ≥ .083).

CONCLUSION

An auto-generated corrective exercise program individualized to scores on the FMS™ was effective and exceeded error thresholds based on a minimal detectable change of 2.5/21.

Impact of Core Training on Functional Movement Screen Scores in Athletes: A Critically Appraised Topic

CLINICAL SCENARIO

The Functional Movement Screen (FMS) is used to assess movement patterns and the risk of injury of active individuals. Current studies have found positive relationships with core training and injury prevention as well as lower limb stability, which can help improve FMS scores.

CLINICAL QUESTION

Does the implementation of a core training program have an impact on FMS scores in healthy active adults who participate in sport?

SUMMARY OF KEY FINDINGS

Literature was searched for articles that included core-focused exercises and implementation of the FMS. This resulted in 25 studies being returned, only 23 of which were published in the last 10 years. Only 7 focused on the change in FMS scores after implementation of core training. Three of these studies were included in the analysis due to the specialized athlete population. All 3 studies found that using a core training program led to significantly higher FMS scores postintervention.

CLINICAL BOTTOM LINE

There is clear evidence that core training increases FMS scores in athletes. It is important for health care providers treating athletes to consider core training to improve functional movement patterns or FMS scores in sport-specific populations.

STRENGTH OF RECOMMENDATION

Overall, there are moderate to high levels of evidence that support a grade B recommendation for core training improvements on FMS scores in athletes.

Risk factors for adverse health in military and law enforcement personnel; an umbrella review

BACKGROUND

A better understanding of adverse health and underlying risk factors in the context of military and law enforcement is essential to developing future preventative strategies. We conducted an umbrella review to provide an overview of the current literature regarding risk factors for adverse health in military and law enforcement populations.

METHODS

We systematically searched the literature for systematic reviews and meta-analyses regarding risk factors for adverse health in military or law enforcement populations. We critically appraised the studies that matched our inclusion criteria, extracted the adverse health outcomes and underlying risk factors, and narratively synthesised the findings.

RESULTS

This umbrella review included 34 systematic reviews that covered data from 43 countries. We identified twenty-six adverse health outcomes and 220 underlying risk factors. The adverse health outcomes covered in the included systematic reviews were one infectious disease (Heliobacter pylori infection); two endocrine, nutritional, or metabolic diseases (metabolic syndrome and obesity); seven mental, behavioural, or neurodevelopmental disorders (adjustment disorder, alcohol misuse, anxiety, depression, poor mental health, PTSD, and stress); two diseases of the nervous system (insomnia and sleep-disordered breathing); one disease of the ear or mastoid process (noise-induced hearing loss); eight diseases of the musculoskeletal system and connective tissue (cervical spine injuries, injuries, lower extremity injuries, musculoskeletal injuries, neck pain, rhabdomyolysis, and stress fractures); one symptom, signs and abnormal clinical and laboratory findings, not elsewhere classified (suicidal ideation); three injuries, poisonings, or other consequences of external causes (concussion, heat illness, and suicide); and one factor influencing health status and contact with health services (burnout). Of the 220 identified risk factors, 136 were modifiable, and the most frequently reported were female sex, older age, lower functional movement screen scores, maladaptive coping, lack of social support, and neuroticism.

CONCLUSION

This umbrella review identified twenty-six adverse health outcomes and their underlying risk factors in military and law enforcement populations. Hereby, this study provides potential starting points for preventing adverse health in these populations. It also identifies a broad lack of systematic reviews investigating mental, behavioural, or neurodevelopmental disorders in military populations and diseases of the musculoskeletal system and connective tissue in law enforcement populations.

PROSPERO REGISTRATION NUMBER

CRD42022378123.

Influence of Body Composition on Functional Movement Among Police Officers

Research indicates that the Functional Movement Screen (FMS) can be used to measure functional movement quality and characterize musculoskeletal injury risk in tactical populations. Although body composition has been linked to chronic disease in police officers, the link between body composition and functional movement quality has not been explored in this population. As such, the purposes of the study were to examine: (a) the effect of body mass index (BMI) on functional movement, and (b) determine the significance of fat mass (FM) and fat free mass (FFM) in predicting functional movement among active-duty police officers. Thirty-five active- duty police officers (31 male, 4 female; mean ±SD, age: 33.4 ±9.4 years, height: 177.4 ± 8.0 cm, weight: 88.4 ± 15.3 kg) were recruited to participate in this study, as part of a larger study on police fitness. All demographic data, BMI, FM, FFM, and FMS composite score (FMS CS) were obtained over two data collection sessions. With age held as a significant covariate, the results of the one-way ANCOVA revealed no significant effect of BMI category on FMS CS (p = 0.077). The linear regression analysis results suggest that FM and FFM contributed 36.9% variance in FMS CS while controlling for age (p < 0.001). FM was a significant individual predictor of FMS CS (p < 0.001), while FFM was not a significant individual predictor of FMS CS (p = 0.111). The current results reinforce the importance of police officers body composition management for health and functional movement quality across a career.

Effect of Aging on Movement Quality in Australian Urban Firefighters

ABSTRACT

Redshaw, AS, Carrick-Ranson, G, Bennett, H, Norton, KI, and Walker, A. Effect of aging on movement quality in Australian urban firefighters. J Strength Cond Res 37(11): e601-e608, 2023-Adequate levels of movement quality (MQ) are required to safely perform occupational tasks in physically demanding and hazardous professions such as firefighting. Although it is well established that MQ deteriorates with age in population studies, there is conflicting evidence in older tactical populations. This study sought to examine the relationship between age and MQ in Australian urban firefighters. The impact of physical activity, injury history, and body mass index on MQ were also explored. The MQ of 324 professional Australian urban firefighters was assessed using MovementSCREEN MQ assessment tool. Scores of whole-body MQ ranged from 35.3 to 82.6 (0-100 scale), with a mean score of 59.2 ± 10.0. There was a moderate, negative association between MQ and age (r = -0.500; p ≤ 0.001), with those older than 50 years of age having significantly lower scores of MQ than their younger counterparts (p ≤ 0.001). Secondary analysis found that higher body mass index (r = -0.285; p ≤ 0.001), lower habitual physical activity levels (r = 0.165; p ≤ 0.003), and the presence of any musculoskeletal injury in the previous 12 months (p = 0.016) had significant negative effects on composite MQ. Firefighters older than 50, obese, and engaging in low levels of physical activity should be considered a high priority for functional strength training interventions to maintain adequate MQ throughout their careers.

Pilot Study: The Relationship between Foot Posture and Movement Quality in Non-Professional Male Football Players

(1) Background: This study focusses on establishing the relationship between quality of movement (based on the functional movement screen, or FMS) and foot posture (based on the foot posture index, or FPI-6). We hypothesised that a poor FMS test score may be derived from the foot position in the space measured by FPI-6. (2) Methods: a quasi-experimental and cross-sectional study was designed to analyse foot posture in 30 healthy football players, using the foot posture index and the functional movement screen. (3) Results: No significant relationships were found between movement quality and foot posture. Poor movement quality is present in more than half of all foot positions, supination, pronation, and neutral. Good quality seems to be more associated with a neutral foot position (23.3%) and supinated (16.6%) than a pronated foot position (6.6%). (4) Conclusions: this study found no relationship between the two tests; therefore, we cannot demonstrate that foot posture is relevant in the quality of the movement of the football players studied.

The Influence of Age and Dynamic Balance on Functional Movement Among Active-Duty Police Officers

CONTEXT

Although occupational injuries for police officers cannot be prevented, factors that contribute to musculoskeletal injury risk could be better identified to inform preventative interventions. Previous research has supported screening tools such as the functional movement screen (FMS) and Y-Balance Test (YBT) as possible indicators of musculoskeletal injury risk. The purposes of this study are to (1) examine the relationships between age, dynamic balance, and functional movement in police officers and (2) determine how much variance in functional movement is predicted by age and dynamic balance.

METHODS

This study was conducted in a university research laboratory as part of an ongoing collaboration with a local police department. All data for the current study were collected across 2 separate laboratory visits within a 14-day period.

PARTICIPANTS

Thirty-five active-duty police officers (31 men and 4 women; mean [SD], age 33.4 [9.4] y, height 177.4 [8.0] cm, body mass 88.4 [15.3] kg) volunteered to participate in this study.

MAIN OUTCOME MEASURES

Functional movement was assessed using the FMS, and FMS overall scores were calculated. Dynamic balance was assessed via the YBT, and lower quarter Y-Balance Test scores (LQYBT%) were calculated.

RESULTS

There was a significant negative correlation between FMS overall score and age (r = -.641, P < .001). Correlations between FMS overall score and LQYBT% and between LQYBT% and age were not statistically significant. Age and LQYBT% scores significantly predicted FMS overall scores (F2,32 = 11.162, P < .001), accounting for 41.1% of the variance in FMS overall scores (R2 = .411) with age being the only significant predictor.

CONCLUSIONS

This study confirms that age and FMS overall score have a strong, negative relationship, suggesting that age may be a contributing factor to movement quality and may lead to an increased risk of musculoskeletal injury within this unique population.

Biomechanical and Psychological Predictors of Failure in the Air Force Physical Fitness Test

Physical fitness is a pillar of U.S. Air Force (USAF) readiness and ensures that Airmen can fulfill their assigned mission and be fit to deploy in any environment. The USAF assesses the fitness of service members on a periodic basis, and discharge can result from failed assessments. In this study, a 21-feature dataset was analyzed related to 223 active-duty Airmen who participated in a comprehensive mental and social health survey, body composition assessment, and physical performance battery. Graphical analysis revealed pass/fail trends related to body composition and obesity. Logistic regression and limited-capacity neural network algorithms were then applied to predict fitness test performance using these biomechanical and psychological variables. The logistic regression model achieved a high level of significance (p < 0.01) with an accuracy of 0.84 and AUC of 0.89 on the holdout dataset. This model yielded important inferences that Airmen with poor sleep quality, recent history of an injury, higher BMI, and low fitness satisfaction tend to be at greater risk for fitness test failure. The neural network model demonstrated the best performance with 0.93 accuracy and 0.97 AUC on the holdout dataset. This study is the first application of psychological features and neural networks to predict fitness test performance and obtained higher predictive accuracy than prior work. Accurate prediction of Airmen at risk of failing the USAF fitness test can enable early intervention and prevent workplace injury, absenteeism, inability to deploy, and attrition.

Functional movement screen did not predict musculoskeletal injury among emergency medical services professionals

BACKGROUND: Emergency Medical Services (EMS) professionals frequently experience job-related injuries, most commonly overexertion or movement injuries. Data on injury reduction in EMS professionals is limited. The Functional Movement Screen (FMS) is a movement analysis tool suggested to predict musculoskeletal injury, but it has not previously been evaluated for EMS professionals. OBJECTIVE: To evaluate the effectiveness of the FMS to predict musculoskeletal injury among EMS professionals. METHODS: In October 2014, EMS professionals employed in an urban third-service EMS agency volunteered to participate in FMS administered by certified screeners. Age, sex, height and weight were recorded. After screening, participants were instructed on exercises to correct movement deficiencies. We reviewed recorded injuries from 2013 to 2016. We performed descriptive statistics. With logistic regression modeling, we described factors that predicted musculoskeletal injury. We generated a receiver operating curve (ROC) for FMS prediction of musculoskeletal injury. RESULTS: 147 of 240 full-time employees participated in the FMS. Participants’ mean age was 33.7 years (SD = 9.6) and the majority (65%) were male. The median initial FMS score was 14 (IQR 11–16). Area under the ROC curve was 0.603 (p = 0.213) for FMS ability to predict any musculoskeletal injury within two years. Female sex was associated higher odds of injury (OR 3.98, 95% CI 1.61–9.80). Increasing age, body mass index (BMI) category, and FMS score≤14 did not predict musculoskeletal injury. CONCLUSION: The FMS did not predict musculoskeletal injury among EMS professionals.

Effect of Functional Training on Physical Fitness Among Athletes: A Systematic Review

There is evidence that functional training is beneficial for the overall physical fitness of athletes. However, there is a lack of a systematic review focused on the effects of functional training on athletes' physical fitness. Thus, the aimed of the present review is to clarify the effects of functional training on physical fitness among athletes. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) Statement guidelines, the systematic search of PubMed, SCOPUS, EBSCOhost (SPORTDiscus), and CINAHL Plus databases was undertaken on the 2nd November 2020 to identify the reported studies, using a combination of keywords related to functional training, physical fitness, and athletes. From the 145 studies, only nine articles met all eligibility criteria and were included in the systematic review. The assessment was performed on the Pedro scale, and the quality of the study included in the nine studies was fair (ranging from 3 to 4). The results showed that speed (n = 6) was the aspect of physical fitness studied in functional training interventions, followed by muscular strength (n = 5), power (n = 4), balance (n = 3), body composition (n = 3), agility (n = 3), flexibility (n = 1) and muscular endurance (n = 1). Existing evidence concludes that functional training significantly impacts speed, muscular strength, power, balance, and agility. Furthermore, there are still limit numbers of evidence showing effect of functional training on flexibility and muscular endurance. In contrast, no significant improvement was found in body composition where functional training was conducted. Systematic Review Registration:https://www.crd.york.ac.uk/prospero, identifier: CRD4202123092.

Can Injuries Be Predicted by Functional Movement Screen in Adolescents? The Application of Machine Learning

ABSTRACT

Karuc, J, Mišigoj-Duraković, M, Šarlija, M, Marković, G, Hadžić, V, Trošt-Bobić, T, and Sorić, M. Can injuries be predicted by functional movement screen in adolescents? The application of machine learning. J Strength Cond Res 35(4): 910-919, 2021-This study used machine learning (ML) to predict injuries among adolescents by functional movement testing. This research is a part of the CRO-PALS study conducted in a representative sample of adolescents and analyses for this study are based on nonathletic (n = 364) and athletic (n = 192) subgroups of the cohort (16-17 years). Sex, age, body mass index (BMI), body fatness, moderate-to-vigorous physical activity (MVPA), training hours per week, Functional Movement Screen (FMS), and socioeconomic status were assessed at baseline. A year later, data on injury occurrence were collected. The optimal cut-point of the total FMS score for predicting injury was calculated using receiver operating characteristic curve. These predictors were included in ML analyses with calculated metrics: area under the curve (AUC), sensitivity, specificity, and odds ratio (95% confidence interval [CI]). Receiver operating characteristic curve analyses with associated criterium of total FMS score >12 showed AUC of 0.54 (95% CI: 0.48-0.59) and 0.56 (95% CI: 0.47-0.63), for the nonathletic and athletic youth, respectively. However, in the nonathletic subgroup, ML showed that the Naïve Bayes exhibited highest AUC (0.58), whereas in the athletic group, logistic regression was demonstrated as the model with the best predictive accuracy (AUC: 0.62). In both subgroups, with given predictors: sex, age, BMI, body fat percentage, MVPA, training hours per week, socioeconomic status, and total FMS score, ML can give a more accurate prediction then FMS alone. Results indicate that nonathletic boys who have lower-body fat could be more prone to suffer from injury incidence, whereas among athletic subjects, boys who spend more time training are at a higher risk of being injured. Conclusively, total FMS cut-off scores for each subgroup did not successfully discriminate those who suffered from those who did not suffer from injury, and, therefore, our research does not support FMS as an injury prediction tool.

Functional Movement Quality of Firefighter Recruits: Longitudinal Changes from the Academy to Active-Duty Status

Approximately half of the injuries experienced by firefighters consist of musculoskeletal injuries (MSKIs). Functional movement quality may be associated with MSKI risk within this tactical athlete population. Previous research indicates that measures of body composition change among firefighter recruits progressing from academy training through active-duty service, but similar changes in functional movement quality have yet to be examined. The purpose of this study was to describe longitudinal changes in functional movement quality of firefighter recruits. Body mass index (BMI), body fat (BF), and Functional Movement Screen (FMS) data were collected from 26 male firefighter recruits at the onset (W1) and completion (W14) of their training academy, and at the completion of their probationary period of active-duty service (W38). After adjusting for changes in BMI and BF across time, significant changes (ps < 0.05) in Composite FMS scores were identified, with significant increases in from W1 to W14 and from W14 to W38, as well as an overall increase from W1 to W38. These results suggest that the development of firefighter-specific skills can decrease the MSKI risk of firefighter recruits by facilitating enhanced functional movement competencies, particularly during tasks that require single-leg movement and core strength and stability.

The effects of body armour on mobility and postural control of police officers

BACKGROUND

Police officer use of Individual Light Armour Vests (ILAVs) is increasing due to potential occupational hazards that include blunt trauma, stabbing, and light calibre bullets. It is unclear how addition of this extra load will affect the officer's mobility or postural control.

OBJECTIVES

The aim of this study was to determine the effects of various ILAVs on the mobility and postural control of police officers when compared to wearing their normal station wear.

METHODS

A prospective, within-subjects, repeated measures study was conducted in which officers wore one of three different ILAV variants or normal station wear (N) and acted as their own controls. Officer mobility was assessed via the Functional Movement Screen (FMS) and postural sway (including total sway, average sway velocity, medial-lateral velocity, anterior-posterior velocity, and total excursion area) via force plate.

RESULTS

Significant differences were found between ILAV or N conditions in various components of the FMS, including right Straight Leg Raise, left shoulder mobility, and both right and left quad rotary stability. No significant differences were found in any of the balance measures between these conditions.

CONCLUSION

It appears ILAVs can significantly affect police officer mobility and therefore may contribute to injury risk and decreased ability to complete occupational tasks, though this should be weighed against protective benefits. ILAVs should therefore be carefully selected to minimise injury risk without detracting from occupational performance.