“…Not all programs, policies, or practices that utilize the same approach (e.g., home visitation, mentoring) are equally effective, and even those that are effective may not work across all populations. 2,8 Tailoring programs and conducting more evaluation may be necessary to better understand effectiveness across different population groups and communities. 90 The examples provided in this technical package are not intended to be a comprehensive list of evidence-based programs, policies, or practices for each approach, but rather illustrate models that have been shown to impact youth violence victimization or perpetration or have beneficial effects on risk or protective factors for youth violence and could be implemented in communities.…”
CDC provided an overview of the youth violence technical package to partners and grantees in a series of webinars. A draft of the youth violence technical package was also shared with partners and grantees following the webinars. These partner organizations are listed below.
“…Not all programs, policies, or practices that utilize the same approach (e.g., home visitation, mentoring) are equally effective, and even those that are effective may not work across all populations. 2,8 Tailoring programs and conducting more evaluation may be necessary to better understand effectiveness across different population groups and communities. 90 The examples provided in this technical package are not intended to be a comprehensive list of evidence-based programs, policies, or practices for each approach, but rather illustrate models that have been shown to impact youth violence victimization or perpetration or have beneficial effects on risk or protective factors for youth violence and could be implemented in communities.…”
CDC provided an overview of the youth violence technical package to partners and grantees in a series of webinars. A draft of the youth violence technical package was also shared with partners and grantees following the webinars. These partner organizations are listed below.
“…Youth homicide is among the most common preventable causes of death in the United States. With firearm homicide representing the third greatest cause of injury death among American youth aged 10-24 (Dahlberg et al, 2015;David-Ferdon et al, 2013), better understandings of mitigating and exacerbating factors are needed to develop targeted interventions. Firearm homicide rates among youth in the United States are substantially higher than any other industrialized nation, exceeding the next leading 25 countries combined (The World Bank, n.d.).…”
Section: Introductionmentioning
confidence: 99%
“…Firearm homicide rates among youth in the United States are substantially higher than any other industrialized nation, exceeding the next leading 25 countries combined (The World Bank, n.d.). At particular risk are youth who are African-American, aged 20-24, or male (David-Ferdon et al, 2013). Furthermore, evidence suggests that individual and neighborhood level poverty further increases risk of exposure to violence and engagement in violent behaviour among youth (McAra & McVie, 2016).…”
Background and objective: Educational achievement, particularly among youth, may mitigate risk of exposure to violence and negative related health outcomes such as crime and gang activity. Few studies to date have examined relationships between education and youth homicide. The authors hypothesized association between educational achievement in grades 3 and 8 and youth homicide mortality. Methods: Neighborhood-based, city-wide analysis was conducted of cross-sectional data regarding N = 55 neighborhoods in Baltimore, MD, extracted from Baltimore 2017 Neighborhood Health Profiles. Results: Higher educational achievement (operationalized by reading proficiency) in third, but not eighth, grade was associated with reduced neighborhood youth homicide mortality rates in hierarchical linear regression, controlling for demographic and socioeconomic factors (ß = − 0.5082, p = 0.03), such that each 1.97% increase in proportion of students reading at an acceptable level was associated with one fewer neighborhood youth homicide per 100,000. Neighborhoods within the highest tertile of youth homicide mortality differed from those in the lowest tertile with fewer males (45% vs. 48%, p = 0.002), greater unemployment (17% vs. 8%, p < 0.001), familial poverty (35% vs. 16%, p < 0.001), and residents identifying as black or African-American (88% vs. 25%, p < 0.001). Causal mediation analysis demonstrated mediation effects of familial poverty and eighth grade educational achievement through third grade educational achievement (ACME = 0.151, p = 0.04; ACME = − 0.300, p = 0.03, respectively) with no significant direct effects. Conclusions: Higher educational achievement (operationalized by reading proficiency) predicts reduced homicide mortality among Baltimore youth and appears to mediate effects of familial poverty on homicide mortality as well. This converges with literature highlighting the importance of education as a determinant of social capital and violence. Future policy-based interventions should target inequalities in educational achievement to mitigate homicide risk among youth in communities facing disparities in violent crime.
“…2 While global data are not available for the medical and loss of productivity costs associated with violence, these costs amount to approximately US$3.4 billion annually in the USA. 3 Adolescence typically refers to the age between 10 and 19 years. 4 This phase is crucial in the development of a child because they transition into adult life at this phase and are more vulnerable to violence.…”
ObjectiveTo determine the predictors of non-fatal violence or assault among adolescents in rural Bangladesh to inform evidence-based interventions.DesignCross-sectional study.SettingHousehold survey and national census in 51 unions of rural Bangladesh.Participants, methods and main outcome213 782 adolescents aged 11–19 years who reported violence during a population-based survey in 2013. We used logistic regression to determine the prevalence of factors that predict non-fatal forms of violence or assaults among adolescents. Assault or violence was defined as all injuries inflicted directly by another person or resulting from collateral impact over a 6-month recall period.Results457 (0.21%) cases of violence or assault were reported. The adjusted prevalence ratio (PR) of violence was lower among female adolescents compared with males (PR: 0.60, 95% CI 0.47 to 0.78, p<0.001). Compared with the lowest socioeconomic quintile, being in a higher quintile was associated with lower prevalence of violence, with a 39% decrease in the adjusted prevalence of violence among adolescents in highest compared with lowest socioeconomic index (PR: 0.61, 95% CI 0.44 to 0.84). The adjusted prevalence of violence in Chandpur and Comilla districts was 7.30 times and 7.27 times higher respectively than the prevalence of violence in Sirajganj (PR: 7.30, 95% CI 4.07 to 13.10 and PR: 7.27, 95% CI 3.56 to 14.84, respectively). There was no significant difference in the adjusted prevalence of violence occurring in school compared with home (PR: 1.19, 95% CI 0.85 to 1.69).ConclusionMale adolescents may be at an increased risk of suffering violence, and socioeconomic factors and place (districts) are strong predictors of adolescent violence among a selected population in rural Bangladesh. These findings are important in guiding interventions to address the burden of violence among adolescents in communities with similar demographics as our study population. Further research is needed to identify the actual burden of violence among adolescents at national level and to establish an effective violence prevention programme across Bangladesh.
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