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Objective: To understand catchers' preferences for mask type and perceptions regarding safety, comfort, and fit, and determine whether mask type is correlated with self-reported concussion and related symptoms after impacts from foul tips or backswings., Design: Cross-sectional study., Setting: Survey of active baseball catchers., Participants: Professional baseball catchers., Intervention: From May 1, 2015, to June 30, 2015, an online survey was administered in English and Spanish to all Major and Minor League catchers (n = 836)., Main Outcome Measures: Survey items addressed the type of mask routinely and previously used (conventional or hockey style); brand and material (steel or titanium); perceptions regarding safety, comfort, and fit; and experiences with concussions., Results: The sample consisted of 596 catchers of which 26% reported being diagnosed with a concussion. Some concussions occurred from non-baseball activities, such as car accidents or off the field incidents. For those that occurred playing baseball, 35% resulted from a foul tip. Once catchers entered professional baseball, the use of a conventional mask rose significantly: 71% of catchers reported wearing conventional-style masks, and 30% hockey-style masks at the time the survey was conducted (P < 0.05). Both conventional and hockey-style mask wearers significantly selected hockey-style masks as providing better overall safety and protection than conventional masks (P < 0.05)., Conclusions: This research supports foul tips as an important cause of concussion in catchers and provides important information about preferences among catchers for masks that are not perceived as the safest and strongest. Future research should supplement these data by conducting laboratory testing to determine which masks are stronger and by collecting qualitative data to explore why some players are more likely to wear a mask type that they perceive as offering less safety or protection.

Patients pursue wilderness experiences throughout the entire life cycle, and while outdoor pursuits are relatively safe, injuries do occur. Many of these adverse events can be anticipated, identified, and prevented through a wilderness preparticipation examination (PPE). To accomplish this, it is incumbent on the physician to assess the extrinsic and intrinsic factors faced by the patient and attempt to correct them to ensure an enjoyable experience in the outdoors. This article outlines the goals of the PPE along with identification of various risk factors that can influence a trip. Most injuries and rescues occur from underestimating the risks from extrinsic, environmental factors, and/or overestimating one's intrinsic skills. By matching the patient's fitness and skill level to the environment, the physician can help reduce the risk of serious injury.

Objective: To determine if steroids containing over-the-counter (OTC) dietary supplements conform to the labeling requirements of the 1994 Dietary Supplement Health and Education Act (DSHEA)., Design: 12 brands of OTC supplements containing 8 different steroids were randomly selected for purchase in stores that cater to athletes. There are two androstenediones (4- and 5-androstene-3,17-dione), two androstenediols (4- and 5-androstene-3beta, 17beta-diol), and 4 more are 19-nor cogeners (19-nor-4- and 5-androstene-3,17-dione and 19-nor-4- and 5-androstene-3beta, 17beta-diol)., Main Outcome Measures: 12 brands of OTC anabolic-androgenic supplements were analyzed by high-pressure liquid chromatography., Results: We found that 11 of 12 brands tested did not meet the labeling requirements set out in the 1994 Dietary Supplement Health and Education Act. One brand contained 10 mg of testosterone, a controlled steroid, another contained 77% more than the label stated, and 11 of 12 contained less than the amount stated on the label., Conclusions: These mislabeling problems show that the labels of the dietary steroid supplements studied herein cannot be trusted for content and purity information. In addition, many sport organizations prohibit OTC steroids; thus, athletes who use them are at risk for positive urine test results. In this article we provide the details of the analyses, a summary of the steroids by name and structure, and information on the nature of the positive test results. Athletes and their physicians need this information because of the potential medical consequences and positive urine test results.

Objective: To determine the substance-use patterns of National Collegiate Athletic Association (NCAA) student-athletes for alcohol, amphetamines, anabolic steroids, cocaine/crack, ephedrine, marijuana/hashish, psychedelics/hallucinogens, and smokeless tobacco., Design: Self-reported, anonymous, retrospective survey., Participants: Male and female student-athletes from 30 sports competing at 991 NCAA Division I, II, and III institutions., Main Outcome Measures: Respondents were queried about their use of eight categories of substances in the previous 12-month period. In addition, data were collected regarding substance use according to team, ethnicity, NCAA Division, reasons for use, and the sources for drugs., Results: The overall response rate was 64.3% with 637 of 991 schools reporting with usable data on 13,914 student-athletes. For the eight categories of substance use, alcohol was the most widely used drug in the past year at 80.5%, followed by marijuana at 28.4%, and smokeless tobacco at 22.5%. Although anabolic steroid use was reported at 1.1% overall, some sports demonstrated higher use, and 32.1% obtained their anabolic steroids from a physician other than the institution's team physician. There were wide variations in the pattern of substance abuse according to sport. The results were also analyzed according to division, and it was found that the likelihood of alcohol, amphetamines, marijuana, and psychedelics use is highest in Division III. In addition, the probability of ephedrine use is highest in both Division II and III, while Division II had the highest likelihood of cocaine use. Finally, the results were analyzed according to ethnicity and we found that the likelihood of use of smokeless tobacco, alcohol, ephedrine, amphetamines, marijuana, and psychedelics is highest for Caucasian student-athletes., Conclusion: The study demonstrates a wide variation of use across NCAA divisions and sports, as well as among ethnic groups. The majority of student-athletes engage in substance use, especially alcohol. According to the survey, substance use is highest among Division III student-athletes and also among Caucasians. By examining reasons for use, the study will assist professionals in designing specific interventions for various substances. This study provides a methodology for surveying a large number of NCAA student-athletes, which will be repeated every 4 years to identify trends in substance abuse.

Objective: To determine whether college athletes are at greater risk for maladaptive lifestyle and health-risk behaviors than their nonathletic peers and to identify high risk taking groups by gender, sport, and other identifiers., Design: Multicenter, cross-sectional study., Setting: Seven major geographically represented collegiate institutions in the United States., Participants: A total of 2,298 college athletes and 683 randomized nonathlete controls completed a confidential survey questionnaire between the summer of 1993 and winter of 1994, assessing lifestyle and health-risk behaviors over the previous 12 months., Main Outcome Measures: Self-reports of lifestyle behaviors and health risks in the following areas: motor-vehicle safety, substance abuse, sexually transmitted diseases and contraception, mental health, cancer prevention, nutrition, exercise and general preventive health issues., Results: Athletes demonstrated significantly higher risk-taking behaviors (p < 0.05) than their nonathlete peers in the following areas: less likely always to use seatbelts; less likely always to use helmets with motorcycles, mopeds, and bicycles; more often drive as a passenger with a driver under the influence of alcohol or drugs; greater quantity and frequency of alcoholic beverages; greater frequency of smokeless tobacco and anabolic steroid use; less-safe sex; greater number of sexual partners; less contraceptive use; and more involvement in physical fights. Female athletes reported a higher prevalence of irregular menses, amenorrhea, and stress fractures compared with female nonathletes. Male athletes had more risk-taking behaviors than did female athletes (p < 0.05), and athletes in contact sports demonstrated more risk-taking behaviors than did athletes in noncontact sports (p < 0.05). Athletes with one risk-taking behavior were likely to have multiple risk-taking behaviors (p < 0.05)., Conclusions: College athletes appear to be at higher risk than their nonathletic peers for certain maladaptive lifestyle behaviors. Athlete subgroups at highest risk include male athletes and athletes participating in contact sports. Athletes at risk for one high-risk behavior demonstrated an increased risk for multiple risk-taking behaviors. Preventive health interventions deserve further study to determine strategies for risk reduction in high-risk groups.