The Effect of Social Determinants of Health on Clinical Recovery Following Concussion: A Systematic Review.

CONTEXT: Concussion evaluations include a multifaceted approach; however, individual differences can influence test score interpretations and validity. Social determinants of health (SDoH) differentially affect disease risk and outcomes based upon social and environmental characteristics. Efforts to better define, diagnose, manage, and treat concussion have increased, but minimal efforts have focused on examining SDoH that may affect concussion recovery. OBJECTIVE: This review examined previous research that examined the effect of SDoH on concussion recovery of athletes. EVIDENCE ACQUISITION: CINAHL, MEDLINE, PsycInfo, and SPORTDiscus databases were used to search the terms "concussion" AND "recovery," "youth, adolescent, teen and/or adult," and "social determinants of health" and variations of these terms. The evidence level for each study was evaluated using the 2011 Oxford Center for Evidence-Based Medicine Guide. EVIDENCE SYNTHESIS: Seven thousand nine hundred and twenty-one articles were identified and screened for inclusion. Five studies met the inclusion criteria and were included in this systematic review. Using the Downs and Black Quality Index, the studies included in this review were deemed high quality. CONCLUSION: Though limited literature exists, there is preliminary evidence to suggest that SDoH (specifically, economic stability, education access and quality, and social and community context) may have an impact on the clinical recovery from concussion. The dimensions evaluated varied between studies and the results were inconsistent. No single factor consistently affected clinical recovery; however, private insurance and race appear to have an association with the speed of recovery. Unfortunately, the potential intersection of these variables and other preinjury factors limits the ability to make clear recommendations. While most of the studies in this review are retrospective in nature, future efforts should focus on training clinicians to prospectively evaluate the effect of SDoH on concussion recovery and injury outcomes. Funding and registration for this systematic review were not obtained nor required.

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.

Proteomic analysis of selected prognostic factors of breast cancer.

The incidence of breast cancer is on the rise but as yet there is no guaranteed beneficial treatment for many of the sufferers. The treatments specific for breast and other hormone-sensitive cancers work well at times, however, the population of women that they will benefit is relatively small. Many are limited to surgical, chemotherapy, and radiotherapy options. Here, using two-dimensional electrophoresis (2-DE) in conjunction with a silver stain and Western blotting approach, we attempt to locate selected known prognostic markers for breast cancer. With these results, we can exclude these proteins from the future search for potential pharmaceutical targets, using the same techniques. The proteins that were located include the estrogen receptor-alpha, beta-casein, cytokeratin 7, calponin and bax. For each protein an estimated M(r) and pI was gained. Each protein was found in multiple variants. By locating these proteins the number of unknown proteins found on the 2-DE gel has been reduced, helping the future search for novel markers that are shown as being differentially expressed between healthy and cancerous tissue samples.