Gender Differences in Head Impacts Sustained by Collegiate Ice Hockey Players : Medicine & Science in Sports & Exercise

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Gender Differences in Head Impacts Sustained by Collegiate Ice Hockey Players


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Medicine & Science in Sports & Exercise: February 2012 - Volume 44 - Issue 2 - p 297-304
doi: 10.1249/MSS.0b013e31822b0ab4
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Since the inception of Title IX as part of the Equality in Education Act of 1972, opportunities for women to participate in sports have increased significantly (42). The National Collegiate Athletic Association (NCAA) reported an 80% increase in participation in women’s collegiate sports between 1988 and 2004, whereas men’s participation increased by only 20% (28). This increase can, in part, be attributed to participation in contact sports such as lacrosse, rugby, and ice hockey. This expansion of opportunity for females and the resulting increase in potential for contact have highlighted the need to better understand differences between female and male athletes, especially with respect to injury incidence, severity, and mechanism.

The Centers for Disease Control and Prevention report that sport- and recreation-related brain injuries are rapidly reaching epidemic levels with an estimated incidence range of 1.6–3.8 million in the United States per year (8,29). Although public awareness of this epidemic has increased, a significant number of these injuries still go undiagnosed (9,10,41). Recent studies have associated depression, Alzheimer disease, and other neurocognitive disorders with exposure to frequent head impacts and multiple head injuries, specifically in boxers and professional football players (21,22,27). In addition, a link has been observed between head impact exposure (frequency, location, and magnitude of sustained head impacts) and neurocognitive and neurophysiologic impairment of otherwise asymptomatic athletes participating in contact sports (6,40). Such associations are especially concerning because the populations most frequently linked to these risks include children and young adults playing high school and collegiate contact sports, emphasizing the need for an improved understanding of the mechanisms and outcomes of concussive injuries and making research in this field all the more imperative (3,24).

To date, there is little conclusive understanding of the biomechanics leading to concussions and even less knowledge on the role, if any, gender plays in the mechanism of injury and resulting sequelae. The majority of gender-specific studies on incidence, epidemiology, and mechanism of sports-related head injury have been conducted among soccer players (12,17), with incidence rates reported for additional sports such as lacrosse, basketball, baseball, softball, and gymnastics (13,19). Recently, the NCAA reported the results of the Injury Surveillance Study, a 16-yr epidemiological survey of injury rates among 17 male and female collegiate-level sports. In that study, concussions ranked second among all injuries with respect to frequency per athlete exposure (AE), with women’s ice hockey having the second highest rate of concussions of all sports surveyed and the highest rate of concussions among the gender-specific sports surveyed (1,28). Although there is still a significant debate over the specific gender characteristics that might influence the incidence and severity of brain injuries, including both physiological and psychological differences, general trends have shown women to be at a greater risk for sustaining concussions during practices and competitions than men (1,13,18,19,28).

Several previous studies have demonstrated the effectiveness of using athletic fields as “living laboratories” to explore the relationship between exposure to head impacts and mild traumatic brain injury (mTBI) (8,20,31,39). Contact sports (e.g., American-style football and ice hockey) provide a unique opportunity to collect in vivo head impact data because players participating in these activities willingly expose themselves to head contact. The Head Impact Telemetry (HIT) System (Simbex, Lebanon, NH) allows researchers to monitor and record head impacts occurring during play to individual athletes on the field in real time. The system was originally designed for use in American-style football (16,20,33,39), and the technology has since been transferred to additional sports such as boxing, skiing/snowboarding, and ice hockey (5,26).

Although football provides an ideal environment for monitoring and analyzing head impacts due to the large number of player exposures during practices and games, it does not allow for comparisons of differences and potential effects of repetitive head impacts by gender. In contrast, ice hockey, played by both men and women using the same equipment and on the same surface, allows for a more direct comparison of head impact biomechanics by gender. Although epidemiological research has concluded that females sustain concussions at higher rates than their male counterparts (1,13,19,28), it is unclear how the biomechanics related to their head impacts differ; therefore, it is difficult to determine what safety mitigation (e.g., modified protective equipment, rule changes) is required, if any, to protect athletes of different genders. The specific aim of this study was to quantify the frequency, magnitude, and location of head impacts sustained by male and female ice hockey players. We tested the hypothesis that the number of head impacts sustained and the peak linear and rotational head accelerations after impact differ by gender. Moreover, we hypothesize that impact location is not dependent on impact location.



Collegiate ice hockey players on two female and two male NCAA varsity teams wore instrumented helmets during the 2008–2009 (one male team only) and 2009–2010 seasons to record the impact magnitude and location of all head impacts sustained during organized play. Participation was voluntary with no preference given to any one player over another. Before the start of the season, a detailed explanation of the study was presented to team members, and all players except goalies (females, n = 19–23 per team and year; males, n = 24–25 per team and year) were given the opportunity to participate. Helmet instrumentation was not available at the time for goalie-specific helmets. Informed consent documents were approved by each institution’s institutional review board and signed by all participating athletes. After consent, each athlete was fitted for an instrumented helmet according to the manufacturer’s specification before use on the ice.

Helmet instrumentation

Two commercially available hockey helmet models (Easton S9; Easton-Bell Sports, Inc., Van Nuys, CA, and CCM Vector, Reebok-CCM Hockey, Inc., Montreal, Canada) were used in the study. Each helmet was fitted with an instrumented helmet unit (IHU; Fig. 1). The IHU contained six single-axis linear accelerometers, a single electronics board combining data acquisition (10 bit, 1000 Hz), radiofrequency telemetry (903–927 MHz) components, and a rechargeable battery capable of powering the IHU for 1–2 wk. Accelerometers were integrated into compressible foam inserts that protruded outward from the liner toward the head. This design allows the accelerometers to maintain contact with the head throughout the impact event ensuring that head acceleration measurements are not affected by helmet shell vibrations (30). The measurement accuracy of the IHU has been previously validated against an instrumented anthropomorphic head form over a range of impact locations and magnitudes with overall peak linear and rotational acceleration errors of 9% and 11%, respectively (25). The helmets fitted with the IHU were certified by the Hockey Equipment Certification Council in accordance with the ASTM mechanical testing standard F-1045 (2,34).

The HIT System was used to record frequency, location, and severity of head impacts in ice hockey. Left: inside view of an Easton S9 equipped with an IHU. Right: a rink-side antenna connected to a laptop computer actively communicates with the IHU to collect and process impact data received via radio transmitter.

Data reduction

The IHU recorded 40 ms of acceleration data, 8 ms before trigger and 32 ms after trigger, when any accelerometer exceeded a study-defined threshold of 9.6g. Head accelerations lower than this level are associated primarily with noncontact events such as running and jumping (35). Recorded data were associated with a time stamp and player identifier and transmitted wirelessly to a rink-side computer (Fig. 1). If communication was unavailable, the IHU had the capability of storing up to 100 events in nonvolatile memory that could be retrieved when communication was restored. Recorded data were consolidated into a single relational database with all personal identifiers replaced by randomly generated study identification numbers.

Data collected from the six nonorthogonal accelerometers of the IHU were processed using a novel algorithm for impact location and time series linear and rotational accelerations of each of the three head center-of-gravity (CG) axes (11,14). Peak linear and rotational accelerations were defined as the maximum resultant linear and rotational accelerations within the 40-ms recording window. Impact location, recorded as azimuth and elevation with respect to the head CG, was categorized into five general location bins (Fig. 2): front (F), back (B), left (L) side, right (R) side, and top (T). This generalized grouping, described previously (14,26,33), separates location into 90° regions about the circumference of the head with T impacts including all impacts with an elevation greater than 65° with respect to a horizontal plane passing through the estimated CG.

Impacts were separated into four generalized location groups on the basis of recorded azimuth (&thetas;) and elevation (α). T impacts include all impacts with an elevation of 65° or higher. F, B, and side regions were separated into four equally distributed 90° regions as shown with the L and R sides combined into a single side location. Used with permission, courtesy of Greenwald et al. (20).

A team session was designated as any practice, scrimmage, or game in which the athletes were exposed to potential head contact. Staff members from each team documented start and end times for each session and identified each player participating in the session. AE was defined for each player as any team session in which the player participated regardless of whether a head impact was sustained during that particular session (28). Data recorded from events occurring outside of defined times for team organized competitive periods were excluded from all analyses.

In addition, data were reduced after processing to exclude any event with peak linear acceleration less than 10g (14,26,33) to eliminate events that were most likely triggered after nonimpact events (e.g., forcefully donning/doffing helmet, athlete manually triggering single acceleration channels). Any impact event in which the acceleration time history pattern of the six linear accelerometers did not match the expected acceleration signals for rigid-body head acceleration, such as when a single accelerometer spikes during vigorous helmet removal, was also excluded (14). Finally, accelerometer output for all impacts exceeding 125g was visually reviewed to verify that acceleration data were free of signal artifacts indicative of potential hardware malfunction (e.g., shorts in accelerometer signal). These methods have been previously verified by comparing measured impacts with video footage (8,16,33).

Data analysis

All statistical analyses were performed using MATLAB (version 7.0; The MathWorks, Inc., Natick, MA). Descriptive statistics are provided for all measures of impact frequency, acceleration magnitude, and location. Before all comparative analyses, Lilliefors tests were conducted to verify assumptions of normality. Multiple two-sample t-tests were used to test the hypothesis that the number of impacts by season and the number of impacts by AE differ by gender. The top 1%, 2%, and 5% of all impacts by peak linear and rotational acceleration were compared by gender using a Kruskal–Wallis nonparametric one-way ANOVA. To evaluate differences in the distributions of impact locations as a function of gender, chi-square independence tests were performed. In addition, chi-square tests were conducted on distributions of impact locations for the top 1%, 2%, and 5% by linear acceleration only to determine whether differences in impact location exist by gender for the highest magnitude impacts. A significance level of α = 0.05 was set a priori for all statistical tests.


During two seasons, 95 athletes were initially enrolled in the study with seven voluntarily leaving the study after initial team sessions. Any head impact data recorded from these players (<20 impacts per player) were excluded from analysis. Seven of the 37 male athletes (age = 21.4 ± 1.4 yr, height = 183.5 ± 4.3 cm, weight = 86.0 ± 5.0 kg) and 21 of the 51 female athletes (age = 19.9 ± 1.1 yr, height = 168.8 ± 6.3 cm, weight = 67.2 ± 6.7 kg) participated in both years, providing 116 monitored athlete years (44 males, 72 females). The height and weight of the athletes were significantly different (α = 0.05, P < 0.001) by gender; however, the variance was similar to differences observed for this age group in the general population (32). Distribution of athletes by position group was similar for both males (64% forwards, 24% defensemen) and females (65% forwards, 25% defensemen).

A total of 28,178 head impacts were recorded during all team sessions with 12,897 sustained by females and 15,281 by males. Female athletes participated in fewer team sessions (105.3 ± 17.5) than male athletes (118.0 ± 26.8). The slight difference in number of team sessions can be attributed primarily to length of postseason play, which was based on team performance and not initial scheduling. The number of impacts per season a player received was significantly lower in female athletes, who recorded an average of 179.2 ± 80.5 impacts per season (range = 11–373), whereas male athletes sustained an average of 347.3 ± 170.2 impacts per season (range = 56–785) (P < 0.001). Female hockey players experienced a significantly lower (P < 0.001) number of impacts per AE (1.7 ± 0.7) than males (2.9 ± 1.2). The range of impacts per AE was 0.2 to 3.2 for females and 0.7 to 6.3 for males (Fig. 3). Both females and males sustained at least one impact in approximately half of all AE (males = 57.1%, females = 55.6%).

Male hockey players sustained more head impacts than their female counterparts per season and per AE (P < 0.001).

Distributions of all impacts by peak linear and peak rotational acceleration magnitudes were skewed toward lower magnitudes (Fig. 4). Of all impacts, 95% were less than 43.7g and 4764 rad·s−2 for males and less than 44.9g and 3709 rad·s−2 for females (Table 1). Male players experienced a significantly higher linear acceleration for the top 1% of all impacts (P = 0.003) but not the top 2% (P = 0.07) or the top 5% (P = 0.179). Impacts sustained by males resulted in higher rotational head accelerations than females for the top 1%, 2%, and 5% of all impacts (P < 0.001).

Distributions of impacts by peak linear and rotational accelerations were nonnormally distributed toward low-magnitude impacts for both males and females; however, males sustained head impacts with higher peak linear and rotational accelerations more frequently than females.
Male hockey players sustained head impacts with higher peak linear acceleration (top 1%, P = 0.003) and peak rotational acceleration (top 1%, 2%, and 5%, P < 0.001) than female hockey players.

For all athletes, the highest frequency of impacts by location occurred to the F (30%) and B (33%) of the head followed by the L (14%), R (14%), and T (9%). The frequency of impacts by impact location was dependent on gender (χ24 = 27.39, P < 0.001) with males experiencing a slightly lower number of impacts to both the L (males = 13.8%, females = 14.9%) and R (males = 13.6%, females = 15.4%) sides of the head (Table 2). When considering only impacts with the highest peak linear acceleration, both males and females sustained the majority of impacts to the B of the head (males = 52%, females = 60%). Distributions of highest magnitude impacts by location differed by gender (Table 2) with females sustaining a higher ratio of top-percentile impacts to the T of the head and males sustaining a disproportionate ratio of top-percentile L- and R-side impacts.

Chi-square tests for independence indicate distributions of impacts by location are dependent on gender.


In light of rapidly expanding participation by female athletes in contact sports, there is an increasing need to understand gender differences that may exist with respect to brain injury. The NCAA has reported that female hockey players have higher rates of concussion when compared with males, but the reasons for this are not clear (1,13,19,28). Several factors, including rule variations within the sport by gender, the physiology of the athletes, and the competitive level of play, may influence the frequency and severity of contact in each of the respective games. By NCAA regulations, body and board checking are not allowable in women’s ice hockey, although there is clearly significant body contact during actual play (38). Male hockey players are generally larger both in height and weight than female hockey players, and the men’s game seems to be played at a greater speed than the women’s game at the collegiate level; however, to properly understand an athlete’s risk for brain injury, the biomechanics of head impacts sustained must be known. This 2-yr study quantifies and determines the similarities and differences in head impact exposure (frequency, location, and magnitude) for male and female athletes participating in Division I collegiate ice hockey.

We found that male hockey players sustain nearly twice as many impacts per team session (practice and game) during the season. The maximum number of impacts in a season of ice hockey was 785 and 373 for men and women, respectively, with an average of 347.3 and 179.2. In comparison, it has been reported that individual collegiate football players have sustained up to 1444 impacts per season and the median player sustains between 257 and 438 impacts per season (15). Documenting these differences between male and female hockey players, as well as between hockey and football players, is important because we do not yet know how impact frequency relates to mTBI and the potential for short-term or long-term changes in brain structure or function that have been linked to the injury. Ongoing analysis of both biomechanical and clinical variables, such as symptomatology after injury, may lead to further understanding of the potential deleterious effects of impact frequency, magnitude, and direction.

In this study, we examined the frequency of head contact by normalizing the number of head impacts by AE (1,28), which was defined as any time a player was present on the ice—regardless of whether he or she received any head impacts for that day. It is important to appreciate that impact frequency by AE is most useful when evaluating risk of injury due to participation, not necessarily due to head impact. An alternative approach has been presented by Crisco et al. (15), who normalized frequency of head impacts by player session (defined as a team session when at least one head impact is recorded) when reporting similar head impact exposure data for football players. Because there will be practices or games in which a head impact is not recorded, the latter definition is a more appropriate method for exploring the relationships between head impact exposure, including single and repeated head impacts, and injury. Ultimately, this nuance in methodology did not influence analyses of frequency by gender because both males and females sustained impacts in approximately the same percentage of athletic exposures; however, other researchers should be aware of the difference when applying these data to future work.

Two recent studies have reported similar values for mean peak linear and rotational accelerations of head impacts sustained before diagnosis of mTBI in football. Beckwith et al. (4) reported mean values of 107g ± 31g and 7079 ± 3408 rad·s−2 from 55 impacts associated with a diagnosis of concussion that were recorded with the HIT System. Pellman et al. (37) reported mean values of 98g ± 28g and 6432 ± 1813 rad·s−2 from 25 laboratory reconstructions of National Football League impacts. Of the 12,897 impacts sustained by female hockey players, 1.12% were recorded above 76g (i.e., the mean linear acceleration before diagnosed concussion minus one SD from Beckwith et al. [4]), whereas 1.26% of the impacts sustained by male hockey players were above this level. In addition, when considering the impacts with the greatest magnitude, male hockey players experienced significantly higher linear (top 1 percentile of all) and rotational acceleration levels (top 1, 2, and 5 percentiles of all) than female players. Simply put, female hockey players were 1.1 times more likely than males to sustain an impact less than 50g, whereas males were 1.3 times more likely to sustain an impact greater than 100g. Similarly, males were 1.9 times more likely than females to sustain an impact with peak angular acceleration greater than 5000 rad·s−2 and 3.5 times more likely to sustain an impact greater than 10,000 rad·s−2.

Distributions of impacts occurring within defined regions around the head were dependent on gender, but the differences in percentage by location were small (0.3%–1.8% location region difference for all impacts). For both males and females combined, impacts were equally distributed between the F, B, and sides (L and R side combined) with the T of the head receiving less than 9% of all impacts. These data are consistent with those reported by Gwin et al. (26) (F = 26.5%, B = 33.2%, side = 32.6%, and T = 7.8%) who used a similar method to record impact exposure from a cohort of 12 male hockey players distributed across two seasons. The frequency of impacts to the L and R side of the head was found to be lower for males than females; however, considering the previously reported values by Gwin et al. (26), the variability observed may fall within the SD that occurs between teams and seasons. Another key observation is that the highest magnitude impacts occurred most frequently to the B of the head for both males and females. Although the mechanism of contact was not monitored in this study (e.g., head to ice, head to head), the findings are in agreement with epidemiological studies used to develop initial hockey helmet standards that suggested increased protection was needed for the B of the head because of the prevalence of slips and/or falling backward and hitting the ice (36). These data suggest that the location of head impacts sustained while playing hockey is likely linked to the inherent characteristics of the sport, although slight differences may exist in the ways males and females play it.

Recent studies on male football players have shown that biomechanical variables related to single head impacts (e.g., linear acceleration, rotational acceleration, and impact location) are sensitive to diagnosed concussion, but the specificity of these measures to injury is low (7,20,23). Head impact exposure data for hockey players presented in this study seem to be in agreement, as indicated by the frequency of head impacts occurring above previously suggested injury tolerance levels without diagnosis of concussion. One potential explanation is the risk of concussion after exposure to head impact could be modulated by any number of physiologic variables including neck strength, center of rotation and range of motion in the neck, body center of mass (related to rotation that would occur when losing balance), brain morphology, and/or weight and speed of the athlete. Speculatively, another potential risk factor for female hockey players may be that lack of experience and instruction with respect to receiving and giving body checks (due to rules against checking in the female game) leaves them less prepared when contact occurs. This reduced contact could lead to heightened awareness of concussion symptoms, when present, resulting in a higher percentage of diagnosed injuries for females. Although there is insufficient occurrence of mTBI within this multiseason ice hockey data set to explore these relationships and draw meaningful conclusions regarding injury thresholds for hockey players, if we rely upon historical concussion rates that show a higher occurrence of injury for females, the data presented here suggest that additional intrinsic and extrinsic factors specific to gender modulate the relationship between brain injury and head impact exposure. To provide the best protection and care to athletes, identifying these factors, correlating the biomechanics of head impact and the occurrence of injury by gender, and developing techniques to better educate athletes about injury should be a research priority.

There are several limitations in this study. Primarily, there were a disproportionate number of male versus female participants (44 vs 72), and the study was limited to two institutions. Although it is possible that variability in team and individual playing style may have skewed the data slightly, because of the number of recorded events (n = 28,178) and the large differences observed in both frequency and magnitude (particularly rotational acceleration), it is unlikely that additional data collection would alter these findings. This article also does not quantify the events surrounding the recorded head impacts or correlate impact magnitude with the type of head contact most commonly occurring during play, such as frequency of head impact around the boards and in open ice or severity of head impact as a result of a fall, a check, or a rule infraction. These factors may play an important role in explaining the differences observed in this study and, was so, could provide a means for preventing potentially injurious head contact.

Although female hockey players report higher incidence rates of concussions when compared with their male counterparts, their impact exposures are less frequent and of lower magnitude, contradicting conventional wisdom that higher impact frequency and/or impact magnitude alone leads to an increased risk for mTBI. It is evident that further exploration of the mechanism of brain injury is needed with an emphasis on understanding the intrinsic and extrinsic risk factors for brain injury that differentiate athletes of different genders. This study is the first to quantify and compare the frequency and severity of head impacts between male and female hockey players. At a fundamental level, these exposure data indicate that significant differences in head impact exposure exist between athletes of different genders participating in the same sport and represent a critical first step to understanding the disparities among injury prevalence and outcomes in male and female athletes.

The research for this study was supported by the National Institute for Child Health and Human Development at the National Institutes of Health (grant no. R01HD048638) and the National Operating Committee on Standards for Athletic Equipment. Joseph J. Crisco, Richard M. Greenwald, Jeffrey J. Chu, and Simbex have a financial interest in the instruments (HIT System, Sideline Response System (Riddell, Inc.)) that were used to collect the data reported in this study.

The authors thank the researchers and institutions from whom the data were collected: Jeff Frechette, A.T.C., and Tracy Poro, A.T.C., Dartmouth College Sports Medicine; Mary Hynes, R.N., M.P.H., Dartmouth Medical School; and Bethany Therrien, E. Jacqueline Dwulet, and Emily Burmeister, M.S., A.T.C., Department of Engineering, Brown University. Support and assistance in the design and manufacturing of the hockey helmet development came from Easton-Bell Sports, Inc., and Reebok-CCM Hockey, Inc.

The authors acknowledge that publication of the results of the present study do not constitute endorsement by the American College of Sports Medicine.


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