IntroductionViolence among youth is a major public health issue globally. Despite these concerns, youth violence surveillance and prevention research are either scarce or non-existent, particularly in developing regions, such as sub-Saharan Africa. The purpose of this study is to quantitatively determine the prevalence of violence involving weapons in a convenience sample of service-seeking youth in Kampala. Moreover, the study will seek to determine the overlap between violence victimization and perpetration among these youth and the potentially shared risk factors for these experiences.MethodsWe conducted this study of youth in May and June of 2011 to quantify and describe high-risk behaviors and exposures in a convenience sample (N=457) of urban youth, 14–24 years of age, living on the streets or in the slums and who were participating in a Uganda Youth Development Link drop-in center for disadvantaged street youth. We computed bivariate and multivariate logistic regression analyses to determine associations between psychosocial factors and violence victimization and perpetration.ResultsThe overall prevalence of reporting violence victimization involving a weapon was 36%, and violence perpetration with a weapon was 19%. In terms of the overlap between victimization and perpetration, 16.6% of youth (11.6% of boys and 24.1% of girls) reported both. In multivariate analyses, parental neglect due to alcohol use (Adj.OR=2.28;95%CI: 1.12—4.62) and sadness (Adj.OR=4.36 ;95%CI: 1.81—10.53) were the statistically significant correlates of victimization only. Reporting hunger (Adj.OR=2.87 ;95%CI:1.30—6.33), any drunkenness (Adj.OR=2.35 ;95%CI:1.12—4.92) and any drug use (Adj.OR=3.02 ;95%CI:1.16—7.82) were significantly associated with both perpetration and victimization.ConclusionThe findings underscore the differential experiences associated with victimization and perpetration of violence involving weapons among these vulnerable youth. In particular, reporting hunger, drunkenness and drug use were specifically associated with victimization and perpetration. These are all modifiable risk factors that can be prevented. It is clear that these vulnerable youth are in need of additional services and guidance to ameliorate their adverse childhood experiences, current health risk behaviors and disadvantaged living context.

Introduction One of ten U.S. high school students is a victim of adolescent dating violence (ADV). Understanding ADV risk factors guides prevention efforts; however, research examining community- and societal-level risk factors is scant. Societal gender inequality is a known risk factor for violence against women, but has yet to be explored in relation to ADV. This study aims to determine whether the Gender Inequality Index (GII) correlates with levels of physical and sexual ADV victimization across U.S. states. Methods State-representative prevalence rates of self-reported physical and sexual ADV victimization were obtained from the 2013 Youth Risk Behavior Survey. The state GII includes five indicators: (1) maternal mortality; (2) adolescent birth rate; (3) government representation; (4) educational attainment; and (5) labor force participation. Pearson correlation coefficients determined the association between physical and sexual ADV victimization, the GII, and GII indicators. Analyses were conducted in August 2014. Results Among U.S. states, the prevalence of physical ADV victimization in 2013 ranged from 7.0% to 14.8%, and the prevalence of sexual ADV victimization ranged from 7.8% to 13.8%. The GII was significantly associated with the state prevalence of female physical ADV victimization (r=0.48, p<0.01) but not female sexual ADV victimization. Neither physical nor sexual male ADV victimization was associated with the GII. Conclusions This exploratory study suggests that gender inequality may be a societal-level risk factor for female physical ADV victimization. As ADV prevention strategies are implemented at the state level, further research examining the effect of gender inequality on ADV is needed.

BACKGROUND To investigate uniformly successful results from a statewide program of patient navigation (PN) for colonoscopy, this comparison study evaluated the effectiveness of the PN intervention by comparing outcomes for navigated versus non-navigated patients in one of the community health clinics included in the statewide program. Outcomes measured included screening completion, adequacy of bowel preparation, missed appointments and cancellations, communication of test results, and consistency of follow-up recommendations with clinical guidelines. METHODS The authors compared a subset of 131 patients who were navigated to a screening or surveillance colonoscopy with a similar subset of 75 non-navigated patients at one endoscopy clinic. The prevalence and prevalence odds ratios were computed to measure the association between PN and each study outcome measure. RESULTS Patients in the PN intervention group were 11.2 times more likely to complete colonoscopy than control patients (96.2% vs 69.3%; P<.001), and were 5.9 times more likely to have adequate bowel preparation (P =.010). In addition, intervention patients had no missed appointments compared with 15.6% of control patients, and were 24.8 times more likely to not have a cancellation <24 hours before their appointment (P<.001). All navigated patients and their primary care providers received test results, and all follow-up recommendations were consistent with clinical guidelines compared with 82.4% of patients in the control group (P<.001). CONCLUSIONS PN appears to be effective for improving colonoscopy screening completion and quality in the disparate populations most in need of intervention. To the best of our knowledge, the results of the current study demonstrate some of the strongest evidence for the effectiveness of PN to date, and highlight its value for public health.

Objective. Using nationally representative data, this study examined the prevalence of very frequent physical fighting (≥12 times per year) among youth in 27 countries and cities. Frequent physical fighting has rarely been reported in the previous literature despite the implications for research and practice. Methods. Analyses were based on the Global School-based Student Health Survey (2003–2008) and the 2009 US Youth Risk Behavior Survey. Multinomial regression analyses were conducted to determine gender differences in frequent fighting. Countries were categorized into five regions (Sub-Saharan Africa, Central and South America, Asia, Eastern Mediterranean, and the United States), and one-way ANOVA tests were used to determine regional differences. Results. The prevalence of frequent fighting was highest in Zambia (7.7%) and lowest in Myanmar (0.5%). Gender differences were found in 20 countries, with boys being more likely to report frequent fighting than girls. The prevalence of frequent fighting varied by region (F(3,22) = 4.78, P = .01), with the Eastern Mediterranean having a significantly higher prevalence of frequent fighting than Asia (P < .01). Conclusion. The prevalence of frequent fighting varies by gender in many countries and varies across world regions. More cross-national research is needed to better understand the sociocultural context of frequent fighting and to inform youth violence prevention efforts.