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In addition, most evidence from longitudinal or case control studies suggested cannabis use preceded the development of depressive symptoms and suicidal behaviors, although the quality of this evidence was mixed. Implications for future research and nursing practice are discussed.Synthetic marijuana use has increased significantly since 2008 among young adults in the United States, as have adverse reactions to it, leading to a dramatic increase in emergency department visits. However, much of the research conducted on it has been case studies, which report detrimental symptoms on an individual basis. Only a limited number of studies aim to better understand the larger parameters of this epidemic to assist health care providers and policy makers, including early detection, intervention, and adequate treatment. In addition, there has been limited critical review of this substance to help health care professionals educate the public about the negative health effects of using this drug. This article explores the critical reviews of synthetic marijuana, also commonly known as "K2" and "Spice," synthesizing information from literature reviews, case studies, media information, and government websites. Findings were organized by synthetic marijuana's history, description, adverse reactions including withdrawal symptoms and death incidents, detection screening, treatment, and legislative issues. Health care providers need to understand the detrimental effects of this illicit and harmful substance to both the body and mind and sometimes irreversible damage caused to individuals who consume it. Policy makers, the public, and affected individuals and their family members need to be educated as well.The vaping of nicotine products has overwhelmingly gained national attention as the new public health crisis. The use of electronic nicotine delivery systems and products such as electronic cigarettes, JUUL, pods, or vaporizers is now a worldwide multibillion dollar industry. Despite the notable gains decreasing harmful smoking behaviors of traditional cigarettes among youth, these public health initiatives have been significantly nullified by the indiscriminate exposure of these highly addictive products by nicotine manufacturers to the adolescent population. Although touted as a safer alternative to traditional tobacco smoking and an effective cessation method to quit traditional cigarette smoking, there are no definitive data, to date, substantiating that this is true. Currently, adolescents are the predominant population using electronic nicotine delivery systems and at the greatest risk to the negative effects of nicotine exposure (U.S. Department of Health & Human Services, 2016). The purpose of this article is to identify the health impact and potential dangers related to the vaping epidemic that conflict with teens' risk beliefs that vaping is harmless. To protect American youth, a comprehensive approach for harm reduction to this deadly problem is imperative, including product warnings and regulation, public media campaigns, economic and social strategies, and policy initiatives.Context The Centers for Disease Control and Prevention supports the engagement of community health workers (CHWs) to help vulnerable populations achieve optimum health through a variety of initiatives implemented in several organizational units. Program This article provides a unified and comprehensive logic model for these initiatives that also serves as a common framework for monitoring and evaluation. Implementation We developed a logic model to fully describe the levels of effort needed to effectively and sustainably engage CHWs. We mapped monitoring and evaluation metrics currently used by federally funded organizations to the logic model to assess the extent to which measurement and evaluation are aligned to programmatic efforts. Evaluation We found that the largest proportion of monitoring and evaluation metrics (61%) currently used maps to the "CHW intervention level" of the logic model, a smaller proportion (37%) maps to the "health system and community organizational level," and a minimal proportion (3%) to the "statewide infrastructure level." Discussion Organizations engaging CHWs can use the logic model to guide the design as well as performance measurement and evaluation of their CHW initiatives.Objective To assess associations between state public health agency governance and timing and extent of implementation of social distancing control measures during COVID-19 response. Design State public health agencies were stratified by governance, and data on timing and extent of social distancing were collected from the Institute for Health Metrics and Evaluation. Multinomial logistic regression and time-to-event analyses were conducted to quantify impacts of governance structure on timing and extent of social distancing. Setting State health departments in the United States. Results States operating under centralized public health governance structures enacted social distancing 4 days after decentralized states and had a 73% reduced likelihood of enacting a social distancing policy (hazard ratio = 0.27; 95% CI, 0.08 to 0.86). Conclusion State health department governance structure may have implications on timing and extent of social distancing control measures implemented during a public health emergency.Objective To examine local health department (LHD) contexts, capacity for, and interest in partnering with employers on workplace health promotion programs (WHPPs) for chronic disease prevention. Eganelisib datasheet Design Qualitative interviews with LHD directors. Setting LHDs from 21 counties in 10 states. Participants Twenty-one LHD directors. Main outcome measures(s) Experiences and perceptions of existing partnerships, decision making, funding, data needs, and organizational capacity for WHPP partnerships with employers. Results We identified 3 themes (1) LHDs see the value of partnering with employers but lack the capacity to do so effectively; (2) while LHDs base priorities on community need, funding ultimately drives decision making; and (3) rural, micropolitan, and urban LHDs differ in their readiness and capacity to work with employers. Conclusions Understanding LHDs' partnership capacity and context is essential to the successful implementation of WHPP partnerships with employers. Expanding these partnerships may require additional financial investments, particularly among rural LHDs.
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