Urban adolescents are exposed to a substantial amount of community violence which has the potential to influence psychological functioning. To examine the relationship between community violence exposure and mental health symptoms in urban adolescents, a literature review using MEDLINE, CINAHL, PubMed, PsycINFO, CSA Social Services, and CSA Sociological Abstracts was conducted. Search terms included adolescent/adolescence, violence, urban, mental health, well-being, emotional distress, depression, anxiety, posttraumatic stress disorder, and aggression. Twenty six empirical research articles from 1997-2007 met inclusion criteria for review. Findings indicate an influence of community violence exposure on mental health symptoms, particularly posttraumatic stress and aggression. Mediators and moderators for community violence exposure and mental health symptoms help explain relationships. Limitations in the literature are the lack of consistency in measurement and analysis of community violence exposure, including assessment of proximity and time frame of exposure, and in analysis of victimization and witnessing of community violence. Knowledge about identification of urban adolescents exposed to chronic community violence and who experience mental health symptoms is critical to mental health nursing practice and research. KeywordsAdolescent; Community Violence; Mental Health; Urban Urban adolescents report very high rates of community violence exposure (CVE); more than 85% witness some form of violence in their lifetime (Farrell & Bruce, 1997;Overstreet & Braun, 2000;Mazza & Reynolds, 1999;Pastore, Fisher, & Friedman, 1996) and as many as 69% report direct victimization (Duckworth, Hale, Clair, & Adams, 2000;Howard, Feigelman, Li, Cross, & Rachuba, 2002;Overstreet & Braun, 2000). These rates make it important to examine the effects of CVE on the psychological well-being of urban adolescents. For this paper, CVE is considered to be "deliberate acts intended to cause harm against a person or persons in the community" (Cooley, Turner, & Beidel, 1995, p. 202). CVE encompasses direct victimization and witnessing violence against others.Depression, anxiety, posttraumatic stress disorder (PTSD), and aggression have negative associations with CVE in urban adolescents (Cooley-Quille, Boyd, Frantz, & Walsh, 2001;Foster, Kuperminc & Price, 2004;Gorman-Smith & Tolan, 1998 1999). These relationships between CVE and mental health, however, are not always consistent, and the impact of CVE on urban adolescents' psychological functioning is not clearly established (Farrell & Bruce, 1997;White, Bruce, Farrell, & Kliewer, 1998). Some investigators discuss desensitization, where adolescents adapt by having lower than expected mental health symptoms in response to CVE (McCart et al., 2007;Ng-Mak, Salzinger, Feldman, & Stueve, 2004). These discrepancies call for a better understanding of the correlates between CVE and mental health.The purpose of this article is to examine the research on the relationships between CVE and ment...

Background: Recent advances in technology have enabled the development of head impact sensors, which provide a unique opportunity for sports medicine researchers to study head kinematics in contact sports. Studies have suggested that video or observer confirmation of head impact sensor data is required to remove false positives. In addition, manufacturer filtering algorithms may be ineffective in identifying true positives and removing true negatives. Purpose: To (1) identify the percentage of video-confirmed events recorded by headband-mounted sensors in high school soccer through video analysis, overall and by sex; (2) compare video-confirmed events with the classification by the manufacturer filtering algorithms; and (3) quantify and compare the kinematics of true- and false-positive events. Study Design: Cohort study; Level of evidence, 2. Methods: Adolescent female and male soccer teams were instrumented with headband-mounted impact sensors (SIM-G; Triax Technologies) during games over 2 seasons of suburban high school competition. Sensor data were sequentially reduced to remove events recorded outside of game times, associated with players not on the pitch (ie, field) and players outside the field of view of the camera. With video analysis, the remaining sensor-recorded events were identified as an impact event, trivial event, or nonevent. The mechanisms of impact events were identified. The classifications of sensor-recorded events by the SIM-G algorithm were analyzed. Results: A total of 6796 sensor events were recorded during scheduled varsity game times, of which 1893 (20%) were sensor-recorded events associated with players on the pitch in the field of view of the camera during verified game times. Most video-confirmed events were impact events (n = 1316, 70%), followed by trivial events (n = 396, 21%) and nonevents (n = 181, 10%). Female athletes had a significantly higher percentage of trivial events and nonevents with a significantly lower percentage of impact events. Most impact events were head-to-ball impacts (n = 1032, 78%), followed by player contact (n = 144, 11%) and falls (n = 129, 10%) with no significant differences between male and female teams. The SIM-G algorithm correctly identified 70%, 52%, and 66% of video-confirmed impact events, trivial events, and nonevents, respectively. Conclusion: Video confirmation is critical to the processing of head impact sensor data. Percentages of video-confirmed impact events, trivial events, and nonevents vary by sex in high school soccer. Current manufacturer filtering algorithms and magnitude thresholds are ineffective at correctly classifying sensor-recorded events and should be used with caution.

Background Risky driving and hazardous drinking are associated with significant human and economic costs. Brief interventions for more than one risky behavior have the potential to reduce health-compromising behaviors in populations with multiple risk-taking behaviors such as young adults. Emergency department (ED) visits provide a window of opportunity for interventions meant to reduce both risky driving and hazardous drinking. Methods We determined the efficacy of a Screening, Brief Intervention, and Referral to Treatment (SBIRT) protocol addressing risky driving and hazardous drinking. We used a randomized controlled trial design with follow-ups through 12 months. ED patients aged 18 to 44 who screened positive for both behaviors (n = 476) were randomized to brief intervention (BIG), contact control (CCG), or no-contact control (NCG) groups. The BIG (n = 150) received a 20-minute assessment and two 20-minute interventions. The CCG (n = 162) received a 20-minute assessment at baseline and no intervention. The NCG (n = 164) were asked for contact information at baseline and had no assessment or intervention. Outcomes at 3, 6, 9, and 12 months were self-reported driving behaviors and alcohol consumption. Results Outcomes were significantly lower in BIG compared with CCG through 6 or 9 months, but not at 12 months: Safety belt use at 3 months (adjusted odds ratio [AOR], 0.22; 95% confidence interval [CI], 0.08 to 0.65); 6 months (AOR, 0.13; 95% CI, 0.04 to 0.42); and 9 months (AOR, 0.18; 95% CI, 0.06 to 0.56); binge drinking at 3 months (adjusted rate ratio [ARR] 0.84; 95% CI, 0.74 to 0.97) and 6 months (ARR, 0.81; 95% CI, 0.67 to 0.97); and ≥ 5 standard drinks/d at 3 months (AOR, 0.43; 95% CI, 0.20 to 0.91) and 6 months (AOR, 0.41; 95% CI, 0.17 to 0.98). No substantial differences were observed between BIG and NCG at 12 months. Conclusions Our findings indicate that SBIRT reduced risky driving and hazardous drinking in young adults, but its effects did not persist after 9 months. Future research should explore methods for extending the intervention effect.

IMPORTANCE Concussion diagnosis remains clinical, without objective diagnostic tests available for adolescents. Known deficits in visual accommodation and autonomic function after concussion make the pupillary light reflex (PLR) a promising target as an objective physiological biomarker for concussion.OBJECTIVE To determine the potential utility of PLR metrics as physiological biomarkers for concussion.DESIGN, SETTING, AND PARTICIPANTS Prospective cohort of adolescent athletes between ages 12 and 18 years recruited between August 1, 2017, and December 31, 2018. The study took place at a specialty concussion program and private suburban high school and included healthy control individuals (n = 134) and athletes with a diagnosis of sport-related concussion (SRC) (n = 98). Analysis was completed June 30, 2020. EXPOSURES Sports-related concussion and pupillometry assessments.MAIN OUTCOMES AND MEASURES Pupillary light reflex metrics (maximum and minimum pupillary diameter, peak and average constriction/dilation velocity, percentage constriction, and time to 75% pupillary redilation [T75]).RESULTS Pupillary light reflex metrics of 134 healthy control individuals and 98 athletes with concussion were obtained a median of 12.0 days following injury (interquartile range [IQR], 5.0-18.0 days). Eight of 9 metrics were significantly greater among athletes with concussion after Bonferroni correction (maximum pupil diameter: 4.83 mm vs 4.