Comparison of Urban versus Industry Normative Values of Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT™).

Concussion baseline testing has been advocated for the assessment of pre-morbid function. When individual baseline scores are unavailable, utilizing normative values is recommended. However, the validity of generalizing normative data across multiple socioeconomic environments is unknown. OBJECTIVE: mimic the normative data creation of ImPACT™ to examine the effect of socioeconomic status (SES) on ImPACT™ composite scores. METHODS: A retrospective cross-sectional design analyzed completed computerized neuropsychological test data (ImPACT™) obtained to establish the baseline scores of cognitive function from males aged 13-15 years (n = 300) and 16-18 years (n = 331) from an urban high school system. Comparisons between baseline scores and normative ImPACT™ values were calculated utilizing t-tests with ImPACT™ composite scores serving as dependent variables. RESULTS: significant differences between age-dependent urban composite scores and ImPACT™ normative values for 13-15- and 16-18-year-olds were found for Composite Verbal Memory, Composite Visual Memory, Composite Motor and Composite Reaction Time (p < 0.01). CONCLUSIONS: Significant differences exist between urban high school athletes and ImPACT™-provided age-dependent normative scores, with urban participants performing below age-dependent normative values. These findings support establishing SES appropriate normative values when baseline test scores are not available for direct comparison in order to provide better evaluation and post-concussion management across diverse populations.

The Influence of Athletic Identity, Passion, and Perceptions of Severity of Concussions on Athletes' Willingness to Report Concussion Symptoms.

CONTEXT: The influence of several psychological characteristics on the willingness of athletes to report concussion behaviors has not been well explored. Therefore, the purpose of this study was to understand how athletic identity and sport passion predicted participants' willingness to report symptoms above what was explained by athlete demographics, concussion knowledge, and perceived seriousness of concussions. DESIGN: The study was cross-sectional. METHODS: Three-hundred and twenty-two male and female high school and club sport athletes completed survey measures of concussion knowledge, athletic identity, harmonious and obsessive passion, and degree to which athletes indicated they would report concussions and concussion symptoms. RESULTS: Athletes scored moderately high on their knowledge of symptoms and other concussion information (mean = 16.21; ± = 2.88) and above the midpoint on their attitudes and behaviors toward reporting concussion symptoms (mean = 3.64; ± = 0.70). There were no differences between gender, t(299) = -.78, P = .44, and previous concussion education, t(296) = 1.93, P = .06, related to concussion knowledge. Results of a hierarchical regression indicated that after entering athlete demographics, concussion knowledge, and perceived seriousness of concussions, of the 3 psychological variables in the final stage of the model, only obsessive passion was a significant predictor of athlete's attitudes to report a concussion. CONCLUSIONS: Perceived seriousness of concussion, perceived threat to long-term health, and obsessive passion were the strongest predictors of athlete's willingness to report concussions. Athletes who did not believe concussions posed a threat to their current or future health, and those that held an obsessive passion for sport were most at risk for not reporting concussions. Future research should continue to investigate the relationship between reporting behaviors and psychological factors.

The Influence of Athletic Identity on Mental Health Symptoms During Retirement From Sport.

CLINICAL SCENARIO: Athletic identity (AI) can be defined as, "the degree to which an individual identifies with an athlete role, and the values, and social networks associated with that identity," and can pose a problem when athletes do not explore themselves outside of sport. This lack of identity development beyond athletics has the potential to lead to the development of a high AI. High AI in athletes can have positive effects in areas such as performance, however, high AI may also pose negative consequences. The development of such an identity can limit the adaptive responses to substantial life changes such as retirement from sport. This inability to adapt may thereby contribute to mental health problems during the transition. Therefore, the purpose of this study is to better understand the relationship between athletic identity and mental health symptoms so clinicians may provide support to enable positive outcomes after retirement from sport. CLINICAL QUESTION: What is the influence of athletic identity on mental health symptoms in athletes retiring from sports? SUMMARY OF KEY FINDINGS: (1) High athletic identity contributes to increased mental health symptoms following retirement. (2) Athletic identity had no relationship to mental health symptoms during the preretirement phase of an athlete's career Clinical Bottom Line: The findings suggest that there is high-quality evidence to support that AI has no relationship with mental health symptoms during the preretirement phase and that athletes with high AI are more likely to experience mental health symptoms during their transition out of or retirement from sport. STRENGTH OF RECOMMENDATION: The grade of B is recommended by the Strength of Recommendation taxonomy for consistent, limited-quality, patient-oriented evidence that high AI has a strong relationship to mental health symptoms following retirement in athletes.

Predictors of weight loss maintenance following an insurance-sponsored weight management program.

Intentional weight loss among overweight and obese adults (body mass index ≥ 25 kg/m(2)) is associated with numerous health benefits, but weight loss maintenance (WLM) following participation in weight management programming has proven to be elusive. Many individuals attempting to lose weight join formal programs, especially women, but these programs vary widely in focus, as do postprogram weight regain results. We surveyed 2,106 former participants in a community-based, insurance-sponsored weight management program in the United States to identify the pre, during, and post-intervention behavioral and psychosocial factors that lead to successful WLM. Of 835 survey respondents (39.6% response rate), 450 met criteria for inclusion in this study. Logistic regression analyses suggest that interventionists should assess and discuss weight loss and behavior change perceptions early in a program. However, in developing maintenance plans later in a program, attention should shift to behaviors, such as weekly weighing, limiting snacking in the evening, limiting portion sizes, and being physically active every day.