Popular running magazines, running shoe companies, and other publications suggest that imprints of the bottom of the feet (i.e., plantar shape) can be used as an indication of the height of the medial longitudinal foot arch and that this can be used to select individually appropriate types of running shoes (5,10-12,34,38). Individuals with plantar shapes reflecting low arches are presumed to have greater rear foot and midfoot mobility that allows the foot to pronate excessively during the stance phase of running. Motion control shoes are recommended for low-arched individuals because such shoes presumably control this excessive pronation. Individuals with plantar shapes reflecting high arches are presumed to have rigid or inflexible feet that underpronate and impact the ground with greater force. Cushioned shoes are recommended for high-arched individuals to presumably allow for more pronation and provide more shock absorbency to reduce ground impact forces. Individuals with plantar shapes reflecting average arch heights are assumed to impact the ground with less force and have an appropriate amount of pronation during the stance phase of running. Stability shoes are recommended for average-arched individuals, and these shoes presumably have moderate cushioning and motion control characteristics (38).
There are a large number of biomechanical studies involving running shoes, and these studies frequently hypothesize that specific changes in body mechanics induced by running shoes can influence injury rates (7,17,18,31,32,35,45). However, the data linking shoes to actual cases of injuries are sparse. Two case studies (6,44) and several epidemiological investigations (9,30,33) provide some evidence that ill-fitting and older shoes may result in higher injury rates. Only one retrospective cohort study has specifically tested the hypothesis that selecting running shoes on the basis of foot arch height might reduce injuries, and this study noted several major methodological problems (25).
The current practice in the United States (U.S.) Army is to prescribe running shoes to recruits entering Basic Combat Training (BCT) based on their plantar shape during full weight bearing. Because the question of whether or not this technique reduced injuries had not been adequately addressed, the U.S. Department of Defense Safety Oversight Council requested that the issue be studied. This paper reports the results of an investigation to determine whether or not injury risk can be reduced by selecting running shoes based on plantar shape.
Experimental Approach to the Problem
Subjects were randomized into a control (C) or experimental (E) group in sequential order (alternately in order of arrival for testing). All C group subjects were assigned a single stability-type running shoe. E group subjects were prescribed a type of running shoes based on their plantar shape. If the subject in the E group was classified as having a plantar shape indicative of a low arch, a motion control type shoe was prescribed. If the subject in the E group was classified as having a plantar shape indicative of a high arch, a cushion type shoe was prescribed. If the subject in the E group was classified as having a plantar shape indicative of a normal arch, a stability type shoe was prescribed. If the plantar shape was classified differently for an E subject's right foot and left foot, the raters prescribed a shoe type that most closely fit the average of the two feet. For example, a subject with a plantar shape indicative of a moderately high left foot and a normal right foot would be prescribed a stability shoe because the left foot was not judged extremely high.
Subjects were new U.S. Army recruits participating in BCT at Fort Jackson, S.C. They were briefed on the purposes and risks of the study and voluntarily agreed to participate by signing an informed consent statement. The study protocol was approved by the institutional review committee of the U.S. Army Medical Research and Development Command, Fort Detrick, Md.
Volunteers were administered a questionnaire that asked about tobacco use, physical activity, injury history, and (for women) menstrual history. To determine the shape of the plantar surface, the barefoot volunteer mounted the acrylic platform of the device shown in Figure 1. Subjects were instructed to stand with equal weight on each foot. The device contained a mirror that reflected the underside of the foot, thus providing a visual image of the footprint and the amount of plantar surface contact. The footprint was examined by two testers who were side by side. The testers made independent determinations of the plantar shapes, classifying each subject's arch height as either high, normal, or low based on a template (38): more area in the middle third of the plantar shape indicated a low arch and less area a high arch (Figure 1). If the raters' assessments differed, they discussed the assessment and reached consensus. Both the independent assessments and the final consensus were recorded.
The day after the initial testing, subjects were escorted to the Post Exchange (PX), where they obtained their prescribed type of running shoe. A member of the study team assured that each person selected the prescribed shoe type and was fitted with the proper shoe size. All C group subjects received a standard stability running shoe (New Balance 767ST; New Balance, Boston, Mass.). E subjects could select any shoe within their assigned types. The 19 shoe models available for purchase at the PX are listed in Table 1 along with the shoe types and the number of E group subjects selecting each shoe. The Army and Air Force Exchange System (AAFES) determined which shoes were available in the PX and informed us that the vendors had indicated the shoe types.
To verify the PX shoe types, we examined the Runner's World magazine shoe ratings (10-12) and the Runner's World Running Shoe Finder (www.runnersworld.com/channel/0,7119,s6-240-0-0-0,00.html). We also examined websites for the various shoe manufactures and, in some cases, called company representatives to verify the shoe types. For 2 shoes, the PX classification differed from those of the Runner's World and the manufacturer. The PX classification listed the New Balance 857 as a motion control shoe, but Runner's World and the manufacturer listed it as a stability shoe. The Nike Air Max Moto (Nike, Beaverton, Ore.) was listed in the PX classification as a stability shoe but by Runner's World and the manufacturer as a cushioned shoe. Two shoes, the New Balance 644 and 717, could not be found in the Runner's World sources.
Basic Combat Training
After the subjects received their shoes, they continued in-processing at the Reception Station for 3 to 7 days to complete paperwork, receive vaccinations, undergo medical examinations, and complete other activities. They then relocated to their training companies where they began their 9-week BCT cycle. Cycles in the current study ran between March and July 2007.
BCT is described in U.S. Army Training and Doctrine Command Regulation 350-6 (3). Briefly, physical training (PT) sessions were performed in the early morning for 1-1.5 hours, 4-6 days per week. PT sessions generally alternated between “cardiorespiratory days” and “muscle strength days.” Cardiorespiratory days involved distance running (0.5-3 miles) and/or sprinting, with some push-ups and sit-ups. Four running ability groups were formed in each company based on the distribution of run scores on the first fitness test (25% in each group). Muscle strength days involved different types of push-ups and sit-ups, in addition to a wide variety of other training drills, as described in Army training manuals (2,4). Soldiers also participated in classroom instruction and operational field training (3). No effort was made to restrict the wearing of running shoes to PT, and no system was in place to account for the amount of time subjects wore their running shoes during their limited discretionary time.
Attrition from Training and Withdrawal from Study During BCT
Some subjects attrited from BCT, not completing the entire 9-week program. Reasons for attrition included (a) discharge from the Army, (b) reassignment to a new unit (recycle), (c) return to National Guard Unit and release from active duty (REFRAD), and (d) absent without leave (AWOL). Discharges and recycles were obtained from a local data system maintained at Fort Jackson and cross checked with 2 Army-wide databases: the Resident Individual Training Management System and the Automated Instructional Management System-Personal Computer. REFRADs were obtained from the senior Army Reserve/National Guard liaison at Fort Jackson, who maintains a database of these cases. AWOLs were obtained from a local list maintained by the Trainee/Student Work Division at Fort Jackson.
Just before graduation, subjects were assembled in their BCT companies. Individuals who had changed their running shoes during the course of BCT were identified and considered study withdrawals.
Physical Characteristics, Demographics, and Physical Fitness
Subjects' height and weight on entry to service were obtained from the Reception Battalion Automated Support System database. Subjects' educational level, marital status, race, and component (active, reserve, or National Guard) were obtained from the Defense Manpower Data Center (DMDC) database.
Within 2 to 4 days of subjects entering their training companies, drill sergeants administered the Army Physical Fitness Test (APFT), using well-standardized techniques (36). The APFT consisted of 3 events: a 2-minute maximal effort push-up event, a 2-minute maximal effort sit-up event, and a 2-mile run for time administered in that order. APFT scores were obtained from the BCT companies. Some of the companies did not retain their initial APFT scores, so the number of subjects with APFT scores was limited.
The Defense Medical Surveillance System (DMSS) regularly incorporates data on ambulatory (outpatient) encounters that occur within military treatment facilities, as well as those at outside facilities that are paid for by the Department of Defense. The DMSS provided visit dates and International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes for all outpatient medical visits that occurred during the 9-week BCT cycle of each subject. The first 4 diagnoses for each visit were considered in the analysis, although a single visit usually included only 1 diagnosis. Five injury indices were calculated: the Installation Injury Index (III), the Modified Installation Injury Index (MIII), the Training Injury Index (TII), the Comprehensive Injury Index (CII), and the Overuse Injury Index (OII). All indices include specific ICD-9-CM codes, as described previously (24).
Age was calculated from the date of birth on the questionnaire to the date of the informed consent briefing. Body mass index (BMI) was calculated as weight/height2 (21). Between-rater reliability of plantar shape determinations was assessed with the kappa coefficient.
For all 5 injury indices, person-time injury incidence rates (injured subjects per 1,000 person-days) were calculated as:
(Subjects with ≥1 injury) ÷ (total time in BCT × 1,000)
The total time in BCT was 63 days for subjects who completed BCT and less for those who attrited from training. Comparisons between the E and C groups were made using a chi-square for person-time (19).
Cox regression was used to examine the associations between potential risk factors (including group membership) and time to first CII injury. For each analysis, once a subject had an injury, his or her contribution to time in BCT was terminated. Those who attrited from training had their time terminated (censored) at the day they left their original training company. All potential injury risk factors were entered into the regression model as categorical variables. Some interval and ordinal variables were combined to increase statistical power. Most continuous variables were converted to four equal-sized groups based on the distribution of the scores. Age was partitioned into four groups (17-19, 20-24, 25-29, and ≥30 years). Univariate Cox regressions established the association between time to first injury and each potential risk factor in isolation. Backward-stepping multivariate Cox regressions established the effect of multiple risk factors (including group membership) on injury risk. Risk factors were included in the multivariate model if they achieved p < 0.10 in the univariate analyses (15). In all Cox regressions, simple contrasts were used by establishing a baseline level of each variable (risk ratio = 1.00) and then comparing the baseline risk to the risk at the other levels of the variable.
Participants and Study Exclusions
Volunteers for the study included 2,689 men and 1,263 women. Individuals entering the U.S. Army are broadly representative of the U.S. population and enter BCT with a wide variety of demographics, physical characteristics, physical activity, and physical fitness levels, as described below. Subjects participated in BCT in 38 separate companies conducting training between March and July 2007.
Subjects were excluded from analysis if (a) they did not, or could not, obtain the prescribed shoe in the PX or (b) if they did not wear the prescribed shoe for all physical training while in BCT. Thus, the cohort for the study was defined as those volunteers who had obtained the prescribed shoe and wore it throughout BCT. The major reason for not obtaining the prescribed shoe in the PX was that it was not available when the subject arrived. The number of new Soldiers processing through the PX daily made it difficult to keep all the shoe types and sizes in stock. Some subjects voluntarily withdrew from the study because they found the prescribed shoe uncomfortable during the fitting process or because they did not like the shoe style. Volunteers excluded and retained for analysis are shown in Table 2.
Attrition from Training
Table 3 compares the two groups on reasons for attrition. Differences in attrition between E and C groups were small among both men and women. When all training attrition was considered together, the C men had slightly more attrition than the E men (C = 9%; E = 7%; chi-square, p = 0.08); there was no significant group difference in attrition between the C and E women (C = 22%; E = 23%; chi-square, p = 0.26).
Injury Rates and Injury Risk Factors
The DMSS returned medical data on 98% of subjects (3,062 of 3,119), and the DMDC returned demographic data on 97% of subjects (3,029 of 3,119). Table 4 shows the person-time injury incidence rates for the various injury indices and compares the rates in the C and E groups. Injury risk was almost identical in the C and E groups, regardless of the injury index examined.
Table 5 shows the results of the univariate Cox regression examining the association of time to first injury with group membership (C and E groups) and the other covariates. Differences in injury risk between the C and E groups were small. For both men and women, time to first injury was associated with older age; lower performance on push-ups, sit-ups, or the 2-mile run; a greater number of cigarettes or a greater number of days smoking cigarettes in the last 30 days; a lower perception of physical activity; and less frequent physical activity. Among women, those with previous lower-extremity injury were at higher injury risk. Active Army subjects tended to have higher injury risk than subjects in the National Guard or Army Reserve. Subjects of Asian descent were at lower risk of injury than those of Caucasian descent; women of African-American descent were at lower risk of injury than women of Caucasian descent. Men and women classified as “other” marital status (primarily those divorced or widowed) were at higher risk of injury than those who had never been married; among women, those who were married were also at higher risk than those who never married.
Because much of the APFT data were missing, 2 multivariate Cox regression models were run for both men and women. The first model excluded the APFT variables, whereas the second model included the APFT variables that met the inclusion criteria (i.e., p < 0.10 in the univariate Cox regression). Table 6 shows the results of the backward-stepping multivariate Cox regression model that excluded the fitness variables and with the group membership (C or E) forced into the model. Those with complete data included 2,157 men (98% of the entire male sample) and 902 women (99% of the entire female sample). For both men and women, group membership (E or C) was not significantly associated with injury risk. Older age, less self-rated physical activity, active Army component, and more days of cigarette smoking were independent injury risk factors.
Table 7 shows the results of the multivariate Cox regression that included the APFT variables. Those with complete data included 1,239 men (57% of the male sample) and 467 women (51% of the female sample). Group membership (E or C) was not significantly associated with injury risk. For both men and women, injury risk was associated with slower 2-mile run time and more days of cigarette smoking. For men, less self-rated physical activity was associated with higher injury risk; for women, a previous lower-extremity injury was associated with higher injury risk.
Injury risk was examined for the 3 plantar shapes within the C and E groups independently. Table 8 shows univariate Cox regression results for these analyses. Among the C subjects (all whom wore the stability shoe regardless of foot type), there were very minor differences in injury risk by plantar shape. Among the E group, men with plantar shapes indicative of high arches who wore the cushioned shoe were at higher risk of injury than men with plantar shapes indicative of normal arches who wore the stability shoe; this increased injury risk was not seen among the E group women with plantar shapes indicative of high arches who wore cushioned shoes. A separate univariate Cox regression was performed comparing injury risk in only high- and low-arched individuals in the E and C groups (i.e., not including the normal arch individuals in the analysis). Among the men, injury risk was 1.23 (95% confidence interval [CI], 0.96-1.59; p = 0.11) times higher in the E group compared with the C group. Among the women, injury risk was 1.16 (95% CI, 0.85-1.58; p = 0.35) times higher in the E group compared with the C group.
Because 2 of the shoes (New Balance 857 and Nike Air Max Moto) worn by subjects were classified differently by the PX versus Runner's World and the manufacturers, E group subjects wearing these 2 shoe models were analyzed separately. Two analyses were performed, and these are shown in Table 9. The first analysis compared the C group with the subjects in the E group who wore the New Balance 857 and Nike Air Max Moto. Injury risk was similar in these 2 groups. The second analysis removed the subjects wearing the New Balance 857 or Nike Air Max Moto from the E group and compared the remaining E group subjects with the C group. Differences in injury risk were small between C and E subjects without the shoes in question.
In this study, the E group was prescribed a type of running shoe based on their plantar shape because this method was used in BCT at the time of the study and because it was similar to the common self-evaluation technique (the “wet test”) recommended by running magazines, shoe companies, and other publications (5,12,38). The present study demonstrated that selecting running shoes based on plantar shape did not reduce injury risk during U.S. Army BCT. Even after controlling for known risk factors, such as physical fitness, age, physical activity before BCT, cigarette smoking, and menstrual status (26,39), there were no significant differences in injury risk between the C and E groups.
As noted earlier, motion control shoes are designed for low-arched individuals to presumably control for excessive pronation; cushioned shoes are designed for high-arched individuals to presumably provide cushioning to reduce ground impact forces and allow for more foot pronation (31,32,35,45). All C group subjects wore a stability shoe regardless of plantar shape, and injury risk was very similar among the 3 foot types (high, normal, and low) within this group (Table 8). Stability shoes presumably offer some cushioning with some motion control characteristics (38). When E group subjects were examined separately (Table 8), men with plantar shapes indicative of high arches who wore the cushioned shoe were, contrary to expectation, at higher injury risk. This increased injury risk was not seen among E group women with plantar shapes indicative of high arches who wore the cushioned shoe. It is possible that under some circumstances, high levels of cushioning may attenuate plantar feedback (40) and result in gait alterations (8,20) that increase the likelihood of injury.
If injury risk could be reduced by selecting running shoes based on the plantar shape, that reduced risk might be best seen by comparing C and E subjects at the extremes, that is, those with plantar shapes indicative of high and low arches. This is because E subjects wore shoes specifically designed for their foot type (motion control and cushion), whereas C subjects wore a stability shoe designed for another foot type. Contrary to expectation, comparing E and C subjects in this manner indicated that injury risk was slightly higher in the E group. This indicated that even with extreme foot shapes, selecting running shoes on the basis of plantar shape did not reduce injury risk and may have increased it slightly in this study.
Two shoes (New Balance 857 and the Nike Air Max Moto) were classified differently in the PX system compared with the Runner's World or manufacturer typing. Nonetheless, when the subjects in the E group who wore these 2 shoes were compared with all the C subjects, injury risks differed little. Further, when subjects wearing these 2 shoes were eliminated from the E group and the remaining E group subjects compared with the C group, injury risk still differed little between the 2 groups (Table 9).
The current study is not in consonance with a previous investigation (25) that showed a postwide decrease in serious injuries among soldiers at Fort Drum, N.Y., after initiation of a running shoe prescription program. However, there were many methodological differences between the current study and the earlier one. The current study involved only a prescription based on the plantar shape; the earlier study involved a prescription based on an evaluation of foot arch height and foot flexibility. The current study involved a population of recruits in a situation where it was assured that the prescribed shoe type was obtained and there was follow-up to guarantee that the prescribed shoe type was worn during the entire course of the study. In the earlier study, soldiers were given the shoe prescription, but there was no follow-up to determine whether they made the recommended purchase and no knowledge of when or how often the shoes were used for training. In fact, in a survey involving a convenience sample of 122 Fort Drum soldiers (out of an average 9,752 estimated to be on post), only 11% said that they had followed the shoe prescription advice. The current study involved an initial shoe prescription with follow-up for any injury occurring in a subsequent 9-week period of a standardized training program. The earlier study involved a retrospective examination of medical visits to a physical therapy clinic before and after the shoe program was initiated. A number of temporal factors were potential confounders in the earlier study, and these were discussed at length in the technical report (25). The major potential confounder was the change in the surveillance system used to track injuries, which occurred during the months when injuries began to decrease. The current study was prospective in design and involved two groups training side by side in a well-regulated BCT setting. Thus, the current study involved manipulation of only 1 variable (running shoe selection based on plantar shape), considerably better knowledge about the shoe actually worn during training, and a more controlled training environment.
The present study found a number of risk factors that confirmed previous work in BCT. Higher injury risk progressively increased with progressively lower aerobic fitness, lower muscular endurance, older age, less physical activity, and more cigarette smoking, similar to results in much of the BCT literature (1,9,14,16,22,28,29,37,41,43). Of particular interest was the finding that subjects entering service as active Army recruits tended to have a higher injury rate than National Guard or Reserve recruits. This was not found in an earlier study (29), but the current finding might be associated with recent National Guard/Reserve policy changes. Reserve and National Guard units were experiencing recruiting challenges, presumably because units could be expected to deploy more often, and deployments may have a perceived negative effect on the lifestyles of personnel (42). In an effort to reduce attrition among those who sign up for duty, units have initiated programs that prepare new recruits for BCT by providing them with physical training, military knowledge, and prescreening to assure they have no physical, criminal, or other types of problems before BCT (13,27). Recruits are given a fitness test several times before BCT and perform physical training during scheduled drills. They are provided information on physical training to improve their fitness outside of scheduled weekend drills, and they keep physical training logs. Smoking is prohibited at all drills and there is an emphasis on smoking cessation. These programs may have been successful in reducing injury rates in BCT, especially because increasing physical fitness before BCT has been shown to reduce injury risk (23). Further support for this idea comes from the fact that Component was an independent injury risk factor when the fitness variables were excluded from the multivariate analysis, but Component was not an independent risk factor when the fitness variables were included in the multivariate analysis.
The present study indicated that prescribing running shoes to BCT recruits based on static, weight-bearing plantar shape is not effective for injury prevention. This procedure did not protect against injury any more than the prescription of a single shoe, regardless of plantar shape. It was recommended to the U.S. Army Training and Doctrine Command that the current practice of prescribing shoes in this manner in BCT be discontinued. It was still recommended that recruits receive a new pair of running shoes on entry to BCT, because older running shoes have been shown to increase injury risk (9).
Ms. Carol Pace, Mr. Jason Brown, Ms. Nakia Clemmons, Ms. Sara Canada, and Ms. Lisa Young assisted with data collection. Ms. Carol Pace and Ms. Claudia Coleman put forth dedicated efforts to obtain many of the references used in this paper. Mr. James Allen provided critical subject information, and LTC Sonya Corum coordinated much of the data collection. Ms. Colleen Barkley provided clinical observations that were examined as part of this study. CPT Mayb Sersland provided information on the National Guard Recruit Sustainment Program. Ms. Anita Spiess edited the final manuscript.
1. Altarac, M, Gardner, JW, Popovich, RM, Potter, R, Knapik, JJ, and Jones, BH. Cigarette smoking
and exercise-related injuries among young men and women. Am J Prev Med
18: 96-102, 2000.
2. Army Standardized Physical Training Program Guide
. Ft. Benning, GA: US Army Physical Fitness School, 2005.
3. Army Enlisted Initial Entry Training (IET) Polices and Procedures. Army Regulation 350-6, Fort Monroe, VA: Army Training and Doctrine Command, 2007.
4. Army Physical Readiness Training. Army Field Manual 3-22.20(21-20). Washington DC: Headquarters, Department of the Army, 2008.
5. ASICS. Shoe Fit Guide.On line at http://www.asicsamerica.com/sports/running/shoeFitGuide.aspx
. Accessed June16, 2008.
6. Burgess, I and Ryan, MD. Bilateral fatigue fractures of the distal fibulae caused by a change of running shoes. Med J Aust
143: 304-305, 1985.
7. DeClercq, D, Aerts, P, and Kunnen, M. The mechanical characteristics of the human heel pads during foot strike in running: an in vivo cineradiographic study. J Biomech
27: 1213-1222, 1994.
8. Ferris, DP, Liang, K, and Farley, CT. Runners adjust leg stiffness for their first step on a new running surface. J Biomech
32: 787-794, 1999.
9. Gardner, LI, Dziados, JE, Jones, BH, Brundage, JF, Harris, JM, Sullivan, R, and Gill, P. Prevention of lower extremity stress fractures: a controlled trial of a shock absorbent insole. Am J Pub Health
78: 1563-1567, 1988.
10. Greene, W and Fredericksen, R. Fall 2005 shoe guide. Runner's World
September 2005: 89-110.
11. Greene, W and Fredericksen, R. Fall shoe guide. Runner's World
September 2006: 99-116.
12. Greene, W and Fredericksen, R. Fall shoe guide. Runner's World
. September 2007: 101-114.
13. The ARNG Recruit Sustainment Program (RSP). National Guard Regulation 601-2 (Draft). Washington DC: National Guard Bureau, 2007.
14. Heir, T and Eide, G. Injury proneness in infantry conscripts undergoing a physical training programme: smokeless tobacco use, higher age, and low levels of physical fitness are risk factors. Scand J Med Sci Sports
7: 304-311, 1997.
15. Hosmer, DW and Lemeshow, S. Applied Logistic Regression
. New York: John Wiley & Sons, 1989.
16. Jones, BH, Bovee, MW, and Knapik, JJ. Associations among body composition, physical fitness, and injuries in men and women Army trainees. In: Body Composition and Physical Performance
. Marriott, BM and Grumstrup-Scott, J, eds. Washington DC: National Academy Press, 1992. pp. 141-173.
17. Jorgensen, U. Body load in heel strike running: the effect of a firm heel counter. Am J Sports Med
18: 177-181, 1990.
18. Jorgensen, U and Ekstrand, J. Significance of heel pad confinement for the shock absorption at heel strike. Int J Sports Med
9: 468-473, 1988.
19. Kahn, HA and Sempos, CT. Statistical Methods in Epidemiology
. New York: Oxford University Press, 1989.
20. Kerdok, A, Biewener, AA, McMahon, TA, Weyand, PG, and Herr, HM. Energetics and mechanics of human running on surfaces of different stiffness. J Appl Physiol
92: 469-478, 2002.
21. Knapik, JJ, Burse, RL, and Vogel, JA. Height, weight, percent body fat and indices of adiposity for young men and women entering the U.S. Army. Aviat Space Environ Med
54: 223-231, 1983.
22. Knapik, JJ, Cuthie, J, Canham, M, Hewitson, W, Laurin, MJ, Nee, MA, Hoedebecke, E, Hauret, K, Carroll, D, and Jones, BH. Injury incidence, injury risk factors, and physical fitness of U.S. Army basic trainees at Ft Jackson SC, 1997. Technical Report No. 29-HE-7513-98, Aberdeen Proving Ground, MD: U.S. Army Center for Health Promotion and Preventive Medicine, 1998.
23. Knapik, JJ, Darakjy, S, Hauret, KG, Canada, S, Scott, S, Rieger, W, Marin, R, and Jones, BH. Increasing the physical fitness of low fit recruits prior to Basic Combat Training: an evaluation of fitness, injuries and training outcomes. Mil Med
171: 45-54, 2006.
24. Knapik, JJ, Darakjy, S, Scott, S, Hauret, KG, Canada, S, Marin, R, Palkoska, F, VanCamp, S, Piskator, E, Rieger, W, and Jones, BH. Evaluation of two Army fitness programs: the TRADOC Standardized Physical Training Program for Basic Combat Training and the Fitness Assessment Program. Technical Report No. 12-HF-5772B-04, Aberdeen Proving Ground, MD: US Army Center for Health Promotion and Preventive Medicine, 2004.
25. Knapik, JJ, Feltwell, D, Canham-Chervak, M, Arnold, S, Hauret, K, Renderio, D, Wells, J, and Rohde, C. Evaluation of injury rates during implementation of the Fort Drum Running Shoe Injury Prevention Program. Technical Report No. 12-MA-655-01, Aberdeen Proving Ground, MD: US Army Center for Health Promotion and Preventive Medicine, 2001.
26. Knapik, JJ, Hauret, KG, and Jones, BH. Primary prevention of injuries in initial entry training. In: Textbook of Military Medicine. Recruit Medicine
. Lenhart, MK, Lounsbury, DE and North, RB, eds. Washington DC: Bordon Institute, 2006. p 125-146.
27. Knapik, JJ, Jones, BH, Hauret, KG, Darakjy, S, and Piskator, G. A review of the literature on attrition from the military services: risk factors and strategies to reduce attrition. Technical Report No. 12-HF-01Q9A-04, Aberdeen Proving Ground: US Army Center for Health Promotion and Preventive Medicine, 2004.
28. Knapik, JJ, Sharp, MA, Canham, ML, Hauret, K, Cuthie, J, Hewitson, W, Hoedebecke, E, Laurin, MJ, Polyak, C, Carroll, D, and Jones, B. Injury incidence and injury risk factors among US Army Basic Trainees at Ft Jackson, SC (including fitness training unit personnel, discharges, and newstarts). Technical Report No. 29-HE-8370-99, Aberdeen Proving Ground MD: US Army Center for Health Promotion and Preventive Medicine, 1999.
29. Knapik, JJ, Sharp, MA, Canham-Chervak, M, Hauret, K, Patton, JF, and Jones, BH. Risk factors for training-related injuries among men and women in Basic Combat Training. Med Sci Sports Exerc
33: 946-954, 2001.
30. McKay, GD, Goldie, PA, and Oakes, BW. Ankle injuries in basketball: injury rate and risk factors. Br J Sports Med
35: 103-108, 2001.
31. McPoil, TG. Footwear. Phys Ther
68: 1857-1865, 1988.
32. McPoil, TG. Athletic footwear: design, performance and selection issues. J Sci Med Sports
3: 260-267, 2000.
33. Milgrom, C, Finestone, A, Shlamkovitch, N, Wosk, J, Laor, A, Voloshin, A, and Eldad, A. Prevention of overuse injuries of the foot by improved shoe shock attenuation. Clin Orthop
281: 189-192, 1992.
35. Nigg, BM and Segesser, B. Biomechanical and orthopedic concepts in sports shoe construction. Med Sci Sports Exerc
24: 595-602, 1992.
36. Physical Fitness Training. U.S. Army Field Manual (FM) 21-20. Washington, DC: Headquarters, Department of the Army, 1992.
37. Pope, RP, Herbert, RD, Kirwan, JD, and Graham, BJ. A randomized trial of preexercise stretching for prevention of lower-limb injury. Med Sci Sports Exerc
32: 271-277, 2000.
38. Pritchard, AE. Running shoe design, selection and care: does it make a difference? Army Medical Department Journal
Apr/May/Jun: 43-51, 2001.
39. Rauh, MJ, Macera, CA, Trone, DW, Shaffer, RA, and Brodine, SK. Epidemiology of stress fractures and lower extremity overuse injuries in female recruits. Med Sci Sports Exerc
38: 1571-1577, 2006.
40. Robbins, SE and Gouw, GJ. Athletic footwear: unsafe due to perceptual illusions. Med Sci Sports Exerc
23: 217-224, 1991.
41. Valimaki, MJ, Alhava, E, Lehmuskallio, E, Loyttyniemi, E, Sah, T, Suominen, H, and Valimakii, MJ. Risk factors for clinical stress fractures in male military recruits: a prospective cohort study. Bone
37: 267-273, 2005.
42. Vandenbrook, T. Army Reserve falters on recruitment. USA Today
April 10, 2007.
43. Westphal, KA, Friedl, KE, Sharp, MA, King, N, Kramer, TR, Reynolds, KL, and Marchitelli, LJ. Health, performance and nutritional status of U.S. Army women during basic combat training. Technical Report No. T96-2, Natick, MA: U.S. Army Research Institute of Environmental Medicine, 1995.
44. Wilk, BR, Fisher, KL, and Gutierrez, W. Defective running shoe as a contributory factor in plantar fasciitis in a triathlete. J Orthop Sports Phys Ther
30: 21-28, 2000.
45. Winter, DA and Bishop, PJ. Lower extremity injury. Biomechanical factors associated with chronic injury to the lower extremity. Sports Med
14: 149-156, 1992.