This paper uses an ecological perspective to explore the risk factors associated with bullying behaviors among a representative sample of adolescents aged 11-14 (n = 9816; X = 12.88; s = .9814). Data derived from the Health Behavior in School Children: WHO Cross-National Survey were used to model the relationship between bullying and media effects, peer and family support systems, self-efficacy, and school environment. Overall, the results of this study suggest that bullying increases among children who watch television frequently, lack teacher support, have themselves been bullied, attend schools with unfavorable environments, have emotional support from their peers, and have teachers and parents who do not place high expectations on their school performance. In addition, we found an inverse relationship between being Asian or African American, feeling left out of school activities and bullying. Our results lend support to the contention that bullying arises out of deficits in social climate, but that social support systems mediate bullying behavior irrespective of the student's racial/ethnic characteristics, parental income levels or media influences. Because the number of friends and the ability to talk to these friends increases the likelihood of bullying, we suggest that bullying is not simply an individual response to a particular environment but is a peer-group behavior. We conclude that limiting television viewing hours, improving student's abilities to access family support systems and improving school atmospheres are potentially useful interventions to limit bullying behavior.

Although frequently invoked as a rhetorical tool in political discussions, “political will” remains ambiguous as a concept. Acknowledging the centrality of political will to policy outcomes, the authors propose a pragmatic and systematic approach to definition. This approach facilitates analysis by identifying particular shortcomings in political will. This identification in turn permits the application of appropriate theoretical frameworks from various disciplines and the effective construction and use of ameliorative measures. The authors also address fundamental issues like the specification of contexts. The analytical approach includes a conceptual definition dissected into essential components, along with corresponding means of operationalization and targets for assessment. Among the major definitional components are requirements that a sufficient set of decision makers intends to support a particular initiative and that such support is committed. The latter condition is difficult to ascertain, but various signals, influences, and constraints on action are observable. Aunque frecuentemente invocado como una herramienta retórica en las discusiones políticas, “la voluntad política” se mantiene como unconcepto ambiguo. Reconociendo la importancia de la voluntad política en los resultados políticos, los autores proponen una aproximación pragmática y sistemática para su definición. Esta aproximación facilita el análisis al identificar faltas particulares en el concepto de voluntad política. Dicha identificación permite a su vez la aplicación del marco teórico apropiado de varias disciplinas y la construcción efectiva y utilización de medidas de mejoramiento. Los autores abordan también tópicos fundamentales como la importancia del contexto. La aproximación analítica incluye una definición conceptual diseccionada en componentes esenciales, junto con medios correspondientes de operacionalización y los objetivos a evaluar. Entre los componentes más importantes de la definición están los requerimientos que una serie de hacedores de políticas intente apoyar una iniciativa particular y que dicho apoyo sea real. La última condición es difícil de determinar, pero varias señales, influencias, y limitaciones son observables.

Although researchers have found that survivors of intimate partner violence seek support from a multitude of sources, ranging from professionals to informal support networks, little is known about the extent to which community members reach out to help survivors. This study explored the type of support provided to survivors and various factors that relate to individuals' willingness to help. Survivors were more likely to be helped by women, younger individuals, those who strongly endorsed criminal justice interventions for perpetrators, and those who perceived intimate partner violence as a frequently occurring issue in their communities. Two additional factors were found to relate to an individual's likelihood of assisting others, including witnessing intimate partner violence as a child and prior victimization. Further research is needed in this area to explore helper, survivor, and contextual characteristics that may affect one's likelihood to offer assistance to survivors.

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Few empirical studies have focused on elder abuse in nursing home settings. The present study investigated the prevalence and risk factors of staff physical abuse among elderly individuals receiving nursing home care in Michigan. A random sample of 452 adults with elderly relatives, older than 65 years, and in nursing home care completed a telephone survey regarding elder abuse and neglect experienced by this elder family member in the care setting. Some 24.3% of respondents reported at least one incident of physical abuse by nursing home staff. A logistic regression model was used to estimate the importance of various risk factors in nursing home abuse. Limitations in activities of daily living (ADLs), older adult behavioral difficulties, and previous victimization by nonstaff perpetrators were associated with a greater likelihood of physical abuse. Interventions that address these risk factors may be effective in reducing older adult physical abuse in nursing homes. Attention to the contextual or ecological character of nursing home abuse is essential, particularly in light of the findings of this study.

Background The Great COVID-19 Shutdown aimed to eliminate or slow the spread of SARS-CoV-2, the virus that causes COVID-19. The United States has no national policy, leaving states to independently implement public health guidelines that are predicated on a sustained decline in COVID-19 cases. Operationalization of “sustained decline” varies by state and county. Existing models of COVID-19 transmission rely on parameters such as case estimates or R0 and are dependent on intensive data collection efforts. Static statistical models do not capture all of the relevant dynamics required to measure sustained declines. Moreover, existing COVID-19 models use data that are subject to significant measurement error and contamination. Objective This study will generate novel metrics of speed, acceleration, jerk, and 7-day lag in the speed of COVID-19 transmission using state government tallies of SARS-CoV-2 infections, including state-level dynamics of SARS-CoV-2 infections. This study provides the prototype for a global surveillance system to inform public health practice, including novel standardized metrics of COVID-19 transmission, for use in combination with traditional surveillance tools. Methods Dynamic panel data models were estimated with the Arellano-Bond estimator using the generalized method of moments. This statistical technique allows for the control of a variety of deficiencies in the existing data. Tests of the validity of the model and statistical techniques were applied. Results The statistical approach was validated based on the regression results, which determined recent changes in the pattern of infection. During the weeks of August 17-23 and August 24-30, 2020, there were substantial regional differences in the evolution of the US pandemic. Census regions 1 and 2 were relatively quiet with a small but significant persistence effect that remained relatively unchanged from the prior 2 weeks. Census region 3 was sensitive to the number of tests administered, with a high constant rate of cases. A weekly special analysis showed that these results were driven by states with a high number of positive test reports from universities. Census region 4 had a high constant number of cases and a significantly increased persistence effect during the week of August 24-30. This change represents an increase in the transmission model R value for that week and is consistent with a re-emergence of the pandemic. Conclusions Reopening the United States comes with three certainties: (1) the “social” end of the pandemic and reopening are going to occur before the “medical” end even while the pandemic is growing. We need improved standardized surveillance techniques to inform leaders when it is safe to open sections of the country; (2) varying public health policies and guidelines unnecessarily result in varying degrees of transmission and outbreaks; and (3) even those states most successful in containing the pandemic continue to see a small but constant stream of new cases daily.

Population trends suggest that the next 20 years will witness a dramatic increase in the adult population aged 65 and older. Projected increases in the elderly population are expected to significantly increase the stress on family and professional caretakers. Stress, in the context of caregiving relationships, is a risk factor associated with increased prevalence of elder abuse in familial and institutional settings. As increasing numbers of older adults are moved from family caregiving to nursing home care settings, it becomes important to identify the pattern of elder abuse risk factors in nursing home facilities. An ecological model is proposed for better understanding the risk factors associated with elder abuse in nursing homes and the complex interaction of individual/person characteristics and contextual factors in institutional elder abuse. An ecological perspective to institutional elder abuse provides a framework for guiding and informing future research on the risk factors of nursing home abuse and, in turn, for the development of effective interventions and relevant social policies.