Injuries and Factors Associated with Injuries Among U.S. Army Band Musicians.

The Department of Defense is the largest employer of full-time musicians. In the U.S. military, many musicians experience unique occupational exposures such as extended periods of standing, sitting, and marching for rehearsals and performances, static and non-neutral postures, and a variety of repetitive motions while playing instruments. These exposures are in addition to physical training and fitness standards required of U.S. Army soldiers. METHODS: An electronic survey was administered to active-duty U.S. Army Band musicians. The survey collected demographics, personal characteristics, Army Physical Fitness Test performance, occupational demands, health behaviors, and injuries from October 2017 to December 2018. Survey responses were combined with medical and physical fitness performance records. Descriptive statistics were reported and factors associated with injuries were investigated. RESULTS: There were 465 Army Band members in this population, with approximately half (49%) completing the survey. Most survey respondents (81%) reported an injury in the past year, which they predominantly attributed to overuse (54%). Leading reported activities resulting in injury included running for physical training (21%), repetitive movements while playing an instrument (11%), and standing while playing (11%). A majority of survey respondents (60%) also had a medical encounter for an injury. Factors significantly associated with injury among men were lower aerobic fitness and higher body fat percentage; additional unadjusted factors associated with injury among all Army Band soldiers included female sex, older age, and longer periods of marching and standing while playing. CONCLUSIONS: Injury prevention initiatives for Army Band musicians should focus on the reduction of overuse and repetitive motion injuries. Suggested prevention strategies include balanced physical training, ergonomic adjustments, rehearsal breaks, and leadership support for injury prevention efforts.

Demographic, psychosocial, and physical fitness predictors of successful graduation from U.S. Army Ranger School.

U.S. Army Ranger School is an arduous 64-day leadership training course designed to simulate the stressors of combat. Although physical fitness has been shown to be an important predictor of successful graduation for Ranger School, psychosocial characteristics like self-efficacy and grit have not been examined. The purpose of this study is to identify personal, psychosocial, and fitness characteristics associated with successful completion of Ranger School. This study was a prospective cohort examining the association of baseline characteristics of Ranger School candidates with a primary outcome of graduation success. Multiple logistic regression was performed to determine the contribution of demographics, psychosocial, fitness and training characteristics to graduation success. Out of 958 eligible Ranger Candidates, this study obtained graduation status for 670 students, 270 (40%) of which graduated. Soldiers who graduated were younger, more likely to come from units with a higher proportion of previous Ranger School graduates, had higher self-efficacy and faster 2-mile run times. The results from this study suggest that Ranger students should arrive in optimal physical conditioning. Furthermore, training programs that optimize student self-efficacy and units with a high proportion of successful Ranger graduates may confer advantage for this challenging leadership course.

Physical and behavioral characteristics of soldiers acquiring recommended amounts of sleep per night.

OBJECTIVES: Only one-third of U.S. Army Soldiers meet the recommended sleep guideline of 7 or more hours per night. Soldiers meeting the recommended sleep guideline are more likely to perform better on cognitive and physical tasks. The purpose of this analysis was to compare the physical and behavioral characteristics of Soldiers who met and did not meet the sleep recommendation guideline and determine associations between physical and behavioral characteristics and the acquisition of recommended amounts of sleep per night. METHODS: A survey was administered to U.S. Army Soldiers. Adjusted odds ratios and corresponding 95% confidence intervals were calculated to determine associations between achieving the recommended number of hours of sleep per night and age, physical characteristics, health behaviors, physical training, and physical performance. RESULTS: A survey was completed by 4229 men and 969 women. Male Soldiers who met the recommended sleep requirement had lower estimated body fat [20.3 ± 4.2% vs. 21.1 ± 4.4%], were less likely to use tobacco [11.5% vs. 16.2%] and exercised more [259 ± 226 vs. 244 ± 224 min/wk] compared with those who did not obtain 7 hours of sleep per night. Female Soldiers who met the recommended sleep requirement had lower estimated body fat [31.4 ± 4% vs. 32.1 ± 4.6%] and exercised more [258 ± 206 vs. 241 ± 216 min/wk] compared with those who did not obtain 7 hours of sleep per night. CONCLUSION: Soldiers who choose to adopt healthy lifestyle characteristics may be more likely to meet the recommended sleep duration guideline.

Assessing Community-Based Public Health Plans: An Example From US Army Injury Prevention.

CONTEXT: The US Army requires community health coalitions to develop action plans for their top public health priorities. OBJECTIVE: To date, the US Army has not implemented a standardized review process for community action plans. DESIGN: This project used the Plan Quality Index (PQI), an evidence-based, standardized tool, to evaluate injury prevention action plans created by injury prevention teams (IPTs). SETTING: 17 Army installations. PARTICIPANTS: 17 IPT leads; 5 Health Promotion Program Officers. INTERVENTION: Implementation of the PQI to evaluate the strength of injury prevention action plans and make recommendations for quality improvement to drive reductions in injuries at 17 Army installations. MAIN OUTCOME MEASURE: PQI total scores for high- (≥50 points on the PQI) and low-ranking plans (<50 points on the PQI) were assessed for differences using t tests of the mean PQI score. Chi-square tests were employed to identify differences in meeting criteria between high- and low-scoring plans. RESULTS: PQI total scores ranged from 9 to 78 points out of 80. The weakest planning elements among all plans were lack of use of SMART objectives (18%), lack of identification of responsible parties (18%), absent evaluation plan (24%), and lack of timelines (35%). The mean score for the high-ranking plans (64.6 ± 9.5) was significantly higher than the mean score for the low-ranking plans (26.2 ± 12.7) ( P < .001). Mean scores for clarity, effectiveness, and quality were all significantly higher for the high-ranking plans than for the low-ranking plans ( P = .014, P = .002, and P < .001, respectively). CONCLUSIONS: The PQI tool provides a framework for objective, standardized, and evidence-based feedback and recommendations for improving community health plans. The project identified examples of high-quality action plans and provided actionable recommendations for plan improvement to facilitate sustainability of initiatives addressing injuries, which have long posed a threat to military health and readiness.

Injury Risk Factors Associated With Weight Training.

ABSTRACT: Grier, T, Brooks, RD, Solomon, Z, and Jones, BH. Injury risk factors associated with weight training. J Strength Cond Res 36(2): e24-e30, 2022-The purpose of this evaluation was to identify injury risk factors associated with weight training (WT). Subjects were 4,785 men and 542 women in a U.S. Army Division. Personal characteristics, unit training, personal training, fitness, and 12-month injury history were obtained by an electronic survey. Risk factors for WT injuries were explored using backward stepping multivariable logistic regression. Risk ratios, odds ratios (ORs), and 95% confidence intervals (95% CIs) were calculated for each risk factor. Over a one-year period, 4.5% of men and 0.6% of women experienced a WT injury. Weight-training injury incidence was 0.31 and 0.05 per 1,000 hours of WT for men and women, respectively. Overall, men were 7.4 times more likely to experience a WT injury compared with women. For men who participated in WT, independent risk factors for a WT injury included older age (OR [23-27/≤ 22 years] = 1.99, 95% CI 1.22-3.27; OR [>28/≤ 22 years] = 2.48, 95% CI 1.52-4.03) and higher amounts of personal WT per week (OR [60-165/≥ 166 minutes] = 0.58, 95% CI 0.39-0.88; and OR [15-59/≥ 166 minutes] = 0.40, 95% CI 0.24-0.66). A linear trend was revealed indicating an increasing risk of a WT injury with greater amounts of time spent WT per week (p < 0.01). Performing moderate amounts of WT may reduce the risk of experiencing a WT injury. However, because muscle strength is an important component of fitness for Soldiers, specialized WT programs that improve strength while minimizing injury risks are needed.

Comprehensive Physical Activity Assessment During U.S. Army Basic Combat Training.

ABSTRACT: Alemany, JA, Pierce, JR, Bornstein, DB, Grier, TL, Jones, BH, and Glover, SH. Comprehensive physical activity assessment during U.S. Army Basic Combat Training. J Strength Cond Res 36(12): 3505-3512, 2022-Physical activity (PA) volume, intensity, and qualitative contextual information regarding activity type and loads carried are limited during U.S. Army Basic Combat Training (BCT). The purpose of this study was to characterize daily (05:00-20:00 hours) PA during BCT using a comprehensive approach. During 2 10-week BCT cycles ( n = 40 trainees per cycle), pedometers, accelerometers, and direct observation were used to estimate daily step count, PA volume, and intensity. Physical activity intensity was categorized by metabolic equivalents (METs) such as "sedentary" (1-2 METs), "light" (2-3 METs), "moderate" (3-6 METs), or "vigorous" (≥6 METs). Daily PA data were analyzed longitudinally using linear mixed models, with significance set at p ≤ 0.05. The mean daily step count was 13,459 ± 4,376 steps, and the mean daily accelerometer-assessed PA volume and intensity were as follows: sedentary: 505 ± 98 minutes, light: 190 ± 78 minutes, moderate: 168 ± 51 minutes, and vigorous: 14 ± 14 minutes, with no differences between cycles for all measures ( p > 0.50). Cumulative time on feet (∼50%) and sitting (20-25%) accounted for most daily activity types during both cycles. Trainees, on average, carried between 3 and 9 kg, and ≥9 kg, for 60% and 10% of the monitored day, respectively. Basic Combat Training's physical demands are high, where trainees achieved 1.7 to 2.7 times greater daily ambulation and 6 times the recommended weekly moderate-to-vigorous PA compared with civilian counterparts and performed weight-bearing load carriage for nearly half of the day. Basic Combat Training-associated PA may increase injury risk among trainees unaccustomed to arduous PA and exercise. Implementing national PA policies to improve physical fitness and facilitate acclimatization to BCT's high physical demands could reduce public health burdens and military nonreadiness.

The cost of lower extremity fractures among active duty U.S. Army soldiers, 2017.

The estimated cost to the Army for lower extremity fractures in 2017 was approximately $116 million. Direct medical expenses totaled $24 million, and indirect medical costs totaled $92 million ($900 thousand lost duty; $91 million limited duty). Foot and toe fractures, along with lower leg and ankle fractures accounted for the majority of soldiers' initial visits for care (n=4,482; 91.6%), and more than $103 million (89.0%) of overall costs ($116 million). Costs varied by location of care. In outpatient settings, initial visits for foot and toe injuries accounted for the highest costs: $49 million overall. Direct medical costs totaled $1.2 million, and indirect medical costs (limited duty) were $48 million. Conversely, in inpatient settings, lower leg and ankle fractures accounted for slightly more than half of all costs (overall $9 million; $4.8 million in direct medical costs and $4.5 million in indirect medical costs). The finding that the majority of costs related to lower extremity fractures were due to estimated days of lost or limited duty and associated loss of productivity justifies the inclusion of indirect cost estimates as a part of overall injury cost calculations.

The Impacts of ICD-10-CM on U.S. Army Injury Surveillance.

INTRODUCTION: Injuries are the leading cause of medical encounters and lost work days in the U.S. Army, affecting more than half of active-duty soldiers annually. Historically, Army injury surveillance has captured both acute traumatic and cumulative microtraumatic overuse injuries. This article describes how the transition from the ICD-9-CM to ICD-10-CM impacted U.S. military injury surveillance by comparing injury rates and distributions under both systems. METHODS: Mapping ICD-9-CM codes to the expanded ICD-10-CM codes is not a straightforward endeavor; therefore, the Army Public Health Center incorporated ICD-10-CM codes into a comprehensive, systematic approach to taxonomically categorize injuries. This taxonomic methodology was applied to Army injuries under ICD-10-CM (2016-2019) and compared with the ICD-9-CM Army injury surveillance definitions (2012-2015). RESULTS: Soldier injury rates appeared to increase when surveillance with ICD-10-CM began. Soldiers experienced 1,276 incident injury medical encounters per 1,000 person-years in 2015 (ICD-9-CM), compared with 1,804 injuries per 1,000 in 2016 (ICD-10-CM), a 41% increase. Importantly, the distribution of injuries also shifted, such that the average cumulative microtraumatic injury rate increased by 42% during 2016-2019 (ICD-10-CM) compared with the 2012-2015 average (ICD-9-CM), whereas acute traumatic injuries only increased by 17%. CONCLUSIONS: The enhanced descriptions provided by ICD-10-CM codes and the applied taxonomic categorizations have improved precision in Army injury surveillance. Data unequivocally show that most injuries in this physically active population are cumulative microtraumatic injuries. The taxonomic methodology can be extended to injury surveillance in other populations and may allow a more efficient transition to ICD-11-CM.

Sleep duration and musculoskeletal injury incidence in physically active men and women: A study of U.S. Army Special Operation Forces soldiers.

PURPOSE: In physically demanding occupations or athletic populations, sleep has been shown to be an important factor for both performance and recovery. However, evidence is limited on sleep duration and its association with musculoskeletal injury risk in physically active populations. Therefore, the purpose of this analysis was to evaluate the relationship between sleep duration and musculoskeletal injury incidence in a population of physically active men and women. METHODS: Data were collected via electronic survey and analyzed for 7,576 soldiers from the United States Army Special Operations Command. RESULTS: This population was mostly men (95%) ≤ 35 years old (70%). The incidence of musculoskeletal injury was 53% over the twelve months before survey administration. After adjusting for other covariates, soldiers who slept ≤ 4 hours were 2.35 (95% CI: 1.89-2.93, p <0.01) times more likely to experience a musculoskeletal injury compared with those who slept eight ≥ 8 hours. When stratified by age (≤ 35 years, > 35 years), older men were found to have significantly higher risk of a musculoskeletal injury than their younger counterparts across all sleep duration groups. CONCLUSIONS: These findings suggest that sleep duration may be inversely related to risk of musculoskeletal injury. It is possible that interventions targeted at sleep may have a positive impact on prevention of musculoskeletal injuries within physically active populations.

Vaping, Smoking, and the Physical Fitness of Active Young Men.

INTRODUCTION: Adverse effects of cigarette smoking on physical performance are well studied. Because of the recent rise in popularity of vaping, it is important to evaluate its effect on fitness both independently and in conjunction with traditional cigarette use. METHODS: This was a secondary analysis performed in 2018 on data collected from U.S. Army Soldiers during 2016. All metrics were self-reported via an electronic questionnaire. Personal characteristics of current ENDS users, smokers, and dual users were compared with a reference group that reported no history of use. Adjusting for age and physical training habits, an ANCOVA was used to compare Army physical fitness test results. A Fisher's exact test determined specific mean differences between groups. RESULTS: This study population consisted of 2,854 men aged 24.6 years on average. Differences in physical training and fitness were shown between the groups. Never users averaged the most total physical training, followed by ENDS users, smokers, and then dual users. Compared with never users on the fitness tests, ENDS users had an adjusted mean difference of +27 seconds on the 2-mile run, -4.56 push-ups, and -2.01 sit-ups; smokers averaged +8 seconds, -2.15 push-ups, and -1.44 sit-ups; and dual users averaged +32 seconds, -5.17 push-ups, and -3.88 sit-ups. Dual users had significantly (p<0.05) lower scores than current smokers and never users on all 3 fitness events. CONCLUSIONS: This study suggests that individuals who use e-cigarettes and tobacco cigarettes average a lower level of fitness than individuals who abstain.

A prospective field study of U.S. Army trainees to identify the physiological bases and key factors influencing musculoskeletal injuries: a study protocol.

BACKGROUND: Musculoskeletal injuries (MSKIs) are common in military trainees and present a considerable threat to occupational fitness, deployability, and overall military readiness. Despite the negative effects of MSKIs on military readiness, comprehensive evaluations of the key known and possible risk factors for MSKIs are lacking. The U.S. Army Research Institute of Environmental Medicine (ARIEM) is initiating a large-scale research effort, the ARIEM Reduction in Musculoskeletal Injury (ARMI) Study, to better understand the interrelationships among a wide range of potential MSKI risk factors in U.S. Army trainees in order to identify those risk factors that most contribute to MSKI and may be best targeted for effective mitigation strategies. METHODS: This prospective study aims to enroll approximately 4000 (2000 male and 2000 female) U.S. Army trainees undergoing Basic Combat Training (BCT). Comprehensive in-person assessments will be completed at both the beginning and end of BCT. Participants will be asked to complete surveys of personal background information, medical history, physical activity, sleep behaviors, and personality traits. Physical measurements will be performed to assess anthropometrics, tibial microarchitecture and whole body bone mineral density, muscle cross-sectional area, body composition, and muscle function. Blood sampling will be also be conducted to assess musculoskeletal, genetic, and nutritional biomarkers of risk. In addition, participants will complete weekly surveys during BCT that examine MSKI events, lost training time, and discrete risk factors for injury. Participants' medical records will be tracked for the 2 years following graduation from training to identify MSKI events and related information. Research hypotheses focus on the development of a multivariate prediction model for MSKI. DISCUSSION: Results from this study are expected to inform current understanding of known and potential risk factors for MSKIs that can be incorporated into solutions that optimize Soldier health and enhance military readiness.

Factors associated with motorcycle traffic crash fatalities among active duty U.S. Army personnel.

OBJECTIVE: Research on factors associated with motorcycle fatalities among active duty U.S. Army personnel is limited. This analysis describes motorcycle crash-related injuries from 1995 through 2014 and assesses the effect of alcohol use and helmet use on the risk of fatal injury among active duty U.S. Army motorcycle operators involved in a traffic crash, controlling for other factors shown to be potentially associated with fatality in this population. METHODS: Demographics, crash information, and injury data were obtained from safety reports maintained in the Army Safety Management Information System. Traffic crashes were defined as crashes occurring on a paved public or private roadway or parking area, including those on a U.S. Army installation. Analysis was limited to motorcycle operators. Odds ratios (ORs) and 95% confidence intervals (95% CIs) from a multivariable analysis estimated the effect of alcohol use and helmet use on the risk of a fatal injury given a crash occurred, controlling for operator and crash characteristics. RESULTS: Of the 2,852 motorcycle traffic crashes, most involved men (97%), operators aged 20-29 years of age (60%), and operators who wore helmets (95%) and did not use alcohol (92%). Two thirds of reported crashes resulted in injuries requiring a lost workday; 17% resulted in fatality. Controlling for operator and crash characteristics, motorcycle traffic crashes involving operators who had used alcohol had a 3.1 times higher odds of fatality than those who did not use alcohol (OR =3.14; 95% CI, 2.17-4.53). Operators who did not wear a helmet had 1.9 times higher odds of fatality than those who did wear a helmet (OR =1.89; 95% CI, 1.24-2.89). CONCLUSIONS: Among U.S. Army motorcycle operators, alcohol use and not wearing a helmet increased the odds of fatality, given that a crash occurred, and additional modifiable risk factors were identified. Results will help inform U.S. Army motorcycle policies and training.

Using causal energy categories to report the distribution of injuries in an active population: An approach used by the U.S. Army.

OBJECTIVES: To describe the etiologic distribution of all injuries among U.S. Army Active Duty soldiers by causal energy categories. DESIGN: Retrospective cohort, descriptive analysis. METHODS: Injury was defined as the interruption of tissue function caused by an external energy transfer (mechanical, thermal, radiant, nuclear, chemical, or electrical energy). A comprehensive injury matrix standardized categories by causal energies, body locations, and injury types. Categories differentiated acute (ACT) from cumulative micro-traumatic (CMT) overuse injuries, and musculoskeletal injuries (MSKI) from those affecting other or multiple body systems (non-MSKI). International Classification of Diseases (ICD) diagnoses codes were organized into established categories. The matrix was applied to electronic health records for U.S. Army soldiers in 2017. RESULTS: Mechanical energy transfers caused most injuries (97%, n = 809,914): 76% were CMT overuse and the remaining were ACT (<21%). The majority (83%) were MSKI (71% CMT, 12% ACT). While almost one-half (47%) were to lower extremities (38% CMT, 9% ACT) the most frequently injured anatomical sites were the knee and lower back (16% each, primarily CMT). CONCLUSIONS: For the first time all soldiers' injuries have been presented in the same context for consistent comparisons. Findings confirm the vast majority of injuries in this physically-active population are MSKI, and most are CMT MSKI. A very small portion are non-MSKI or injuries caused by non-mechanical energy (e.g., heat- or cold-weather). Most Army injuries are to the lower extremities as a grouped body region, but additional matrix specificity indicates the most injured anatomical locations are the knee, lower back, and shoulder.

Which US States Pose the Greatest Threats to Military Readiness and Public Health? Public Health Policy Implications for a Cross-sectional Investigation of Cardiorespiratory Fitness, Body Mass Index, and Injuries Among US Army Recruits.

OBJECTIVE: Many states in the southern region of the United States are recognized for higher rates of obesity, physical inactivity, and chronic disease. These states are therefore recognized for their disproportionate public health burden. The purpose of this study was to investigate state-level distributions of cardiorespiratory fitness, body mass index (BMI), and injuries among US Army recruits in order to determine whether or not certain states may also pose disproportionate threats to military readiness and national security. METHODS: Sex-specific state-level values for injuries and fitness among 165 584 Army recruits were determined. Next, the relationship between median cardiorespiratory fitness and injury incidence at the state level was examined using Spearman correlations. Finally, multivariable Poisson regression models stratified by sex examined state-level associations between fitness and injury incidence, while controlling for BMI, and other covariates. MAIN OUTCOME MEASURES: Cardiorespiratory fitness and training-related injury incidence. RESULTS: A cluster of 10 states from the south and southeastern regions (Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, and Texas) produced male or female recruits who were significantly less fit and/or more likely to become injured than recruits from other US states. Compared with the "most fit states," the incidence of injuries increased by 22% (95% CI, 17-28; P < .001) and 28% (95% CI, 19-36; P < .001) in male and female recruits from the "least fit states," respectively. CONCLUSIONS: The impact of policies, systems, and environments on physical activity behavior, and subsequently fitness and health, has been clearly established. Advocacy efforts aimed at active living policies, systems, and environmental changes to improve population health often fail. However, advocating for active living policies to improve national security may prove more promising, particularly with legislators. Results from this study demonstrate how certain states, previously identified for their disproportionate public health burden, are also disproportionately burdensome for military readiness and national security.

Accuracy of self-reported injuries compared to medical record data.

BACKGROUND: Self-reported injury data are frequently used in epidemiologic investigations. These data provide useful information about the activities and mechanisms of injuries because injury cause-coding is often not required for outpatient medical visits. OBJECTIVES: The purpose of this evaluation is to determine the accuracy of self-reported military injuries when compared to injuries in outpatient medical records. METHOD: Injuries reported by survey were compared to diagnoses for injuries (International Classification of Diseases (ICD-9-CM 800-999)) and injury-related musculoskeletal disorders (selected ICD-9-CM 710-739) obtained from medical records. Self-reported injury responses from military personnel were matched to diagnoses by date and body part. A new methodology for including secondary matching body parts was proposed and implemented. RESULTS: Infantry Soldiers (n = 5490) completed surveys that requested details about their most recent injury. About one-quarter (24%, n = 1336) reported injuries on the survey and had an injury diagnosis in their medical record in a six month period. Seventy-five percent of the self-reported injuries (n = 996 of 1336) were confirmed by medical records with a date match within 3 months and an identical or nearby body part. Common self-reported injuries were ankle sprains (10%), knee sprains (9%), lower back strains (4%), shoulder strains (3%), and lower back pain (3%). CONCLUSIONS: A high percentage of self-reported injuries were accurate when compared with medical records, substantiating the use of survey data for the evaluation of injury outcomes. This is the first effort to validate self-reported injuries and musculoskeletal disorders with medical records in a large military population.

The Combined Effect of Cigarette Smoking and Fitness on Injury Risk in Men and Women.

BACKGROUND: Prior studies have identified cigarette smoking and low fitness as independent risk factors for injury; however, no studies have evaluated the combined effect of cigarette smoking and fitness on injury risk. OBJECTIVE: To evaluate the combined effect of cigarette smoking and fitness on injury risk in men and women. DESIGN: This is a secondary analysis of data collected from US Army recruits (n = 2000) during basic combat training within the United States in 2007. Physical training and fitness, cigarette smoking, and prior injury data were obtained from questionnaires, whereas demographic and injury data were obtained from medical and basic combat training unit records. Chi-squared tests were used to assess differences in injury risk by fitness level and cigarette smoking. Relative risk values were calculated with 95% confidence intervals. RESULTS: The primary findings showed that smokers experienced 20%-30% higher risk of injury than nonsmokers. In addition, higher aerobic and muscular fitness was generally not protective against injury between least fit and more fit smokers. However, higher fitness was protective against injury between least and more fit nonsmokers, with least fit nonsmokers being 30%-50% more likely to experience an injury than fit nonsmokers. CONCLUSION: This study revealed that higher aerobic and muscular fitness was not protective against injury among smokers; however, it was protective against injury among nonsmokers. Further implementation of smoking cessation programs may be beneficial for military and civilian personnel who are required to be physically fit in order to carry out their job responsibilities. IMPLICATIONS: Male and female smokers experienced significantly higher risk of injury than nonsmokers. Although higher fitness is protective against injury in nonsmokers, the protective effect of fitness is lost among smokers. In an attempt to reduce injury risk among military and emergency personnel, smoking cessation programs should be further implemented among both more fit and less fit smokers.

The effect of transitioning to ICD-10-CM on acute injury surveillance of active duty service members.

BACKGROUND: Acute injuries are a burden on the Military Health System and degrade service members' ability to train and deploy. Long-term injuries contribute to early attrition and increase disability costs. To properly quantify acute injuries and evaluate injury prevention programs, injuries must be accurately coded and documented. This analysis describes how the transition from International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the Tenth Revision (ICD-10-CM) impacted acute injury surveillance among active duty (AD) service members. Twelve months of ICD-9-CM and ICD-10-CM coded ambulatory injury encounter records for Army, Navy, Air Force, and Marine Corps AD service members were analyzed to evaluate the effect of ICD-10-CM implementation on acute injury coding. Acute injuries coded with ICD-9-CM and categorized with the Barell matrix were compared to ICD-10-CM coded injuries classified by the proposed Injury Diagnosis Matrix (IDM). Both matrices categorize injuries by the nature of injury and into three levels of specificity for body region, although column and row headings are not identical. RESULTS: Acute injury distribution between the two matrices was generally similar in the broader body region categories but diverged substantially at the most granular cell level. The proportion of Level 1 Spine and back Body Region diagnoses was higher in the Barell than in the IDM (6.8% and 2.3%, respectively). Unspecified Level 3 Lower extremity injuries were markedly lower in the IDM compared to the Barell (0.1% and 12.1%, respectively). CONCLUSIONS: This is the first large scale analysis evaluating the impacts of ICD-10-CM implementation on acute injury surveillance using ambulatory encounter data. Some injury diagnoses appeared to have shifted to a different chapter of the codebook. Also, it's likely that the more detailed diagnostic descriptions and episode of care codes in ICD-10-CM discouraged re-coding of initial acute injury diagnoses. The proposed IDM did not result in a major disruption of acute injury surveillance. However, many acute injury diagnosis codes cannot be aligned between ICD versions. Overall, the increased specificity of ICD-10-CM and use of the IDM may lead to more precise acute injury surveillance and tailored prevention programs, which may result in less chronic injury, reduced morbidity, and lower health-care costs.

Evaluation of the US Army Special Forces Tactical Human Optimization, Rapid Rehabilitation, and Reconditioning Program.

BACKGROUND: We sought to assess the rehabilitation process, training, performance, and injury rates among those participating and not participating in the Tactical Human Optimization, Rapid Rehabilitation, and Reconditioning (THOR3) program and determine injury risk factors. METHODS: A survey inquiring about personal characteristics, injuries, physical performance, and THOR3 participation during the previous 12 months was administered to Army Special Operations Forces (SOF) Soldiers. Based on responses to physical training, Soldiers were categorized into three groups: a traditional physical training (TPT) group, a cross-training (CT) group, and a THOR3 group. To identify potential injury risk factors, risk ratios and 95% confidence intervals (95% CIs) were calculated. Backward- stepping multivariable logistic regression models were used to assess key factors associated with injury risk. RESULTS: The survey was completed by 328 male Soldiers. Most of the Soldiers (62%) who scheduled an appointment with the physical therapist were seen within 1 day. Self-reported injury rates for the TPT, CT, and THOR3 groups were 70%, 52%, and 48%, respectively. When controlling for personal characteristics, unit training, and fitness, the TPT group had a marginally higher risk of being injured than the THOR3 group (odds ratio [OR], 2.72; 95% CI, 0.86-8.59; p = .09). Soldiers who did not perform any unit resistance training (ORnone/90-160 min, 3.62; 95% CI, 1.05-12.53; p = .04) or the greatest amount of resistance training (OR>160 min/90-160 min, 3.44; 95% CI, 1.64-7.20; p < .01) were more likely to experience an injury than the moderate-resistance training group. CONCLUSION: THOR3 appears to offer human performance optimization/injury prevention advantages over other SOF human performance programs.