Journal of urban health : bulletin of the New York Academy of Medicine
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Vacant and abandoned buildings are common features in many post-industrial US cities, and are consistent predictors of violence. Demolition programs are regularly employed as an urban land use policy to stabilize housing markets and mitigate public health problems including violence. The objective of this research was to examine the effect of vacant building removals on violent and property crimes in Baltimore, MD from 2014 to 2019. ⋯ The relative reductions in crime, at building removals compared to at control vacant lots, were found among assaults and violent crimes, the crimes of greatest public health concern. Building removals provide co-benefits to their communities, and may be considered part of a crime reduction strategy compatible with other approaches. A systematic effort to understand the role of care for remaining vacant lots could further inform our findings, and efforts to further decrease violence and improve community health.
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The health consequences of gender violence, a global health and social problem, are increasingly studied. Among its roots, research has identified a coercive dominant discourse imposing the idea that masculinities and relationships marked by abuse and domination are more attractive than egalitarian ones. To prevent the health consequences of gender violence, it is necessary to understand the factors that lead many adolescents to fall into it. ⋯ Many peers coerce others to have disdainful hookups which have very negative health consequences for the victims, including suicidal ideation and committing suicide. Some peer groups become a risk developmental context for female adolescents as far as they foster the coercive dominant discourse, push some young women to engage in violent sporadic relationships, and even harass some others afterwards. This clarifies the importance of peer group-level interventions when addressing the health consequences of gender violence in adolescence.
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Based on survey data conducted in Guangzhou in 2021, this study employs canonical correlation analysis (CCA) to evaluate the relationship between neighborhood green space, residents' green space use behavior, and their mental health. The results show that compared with the objectively measured accessibility, residents' subjective perceived accessibility of neighborhood green space plays a greater role in promoting green space use behavior and mental health. ⋯ Although perceived accessibility is more related to green space use behavior than green space quality indicators, green space safety and recreational facilities have many more benefits on mental health than perceived accessibility. In addition, residents' green space use behavior, especially green space visit frequency, can promote mental health and reduce perceived stress.
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Forest trails provide urban residents with contact with nature that improves health and well-being. Vision and hearing are important forms of environmental perception, and visual and auditory stimuli should not be overlooked in forest trail landscapes. This study focused on the health benefits of the audio-visual perception of forest trail landscapes. ⋯ The interaction between FD and FS revealed a pattern of combinations that facilitated stress reduction and positive mood recovery. These results are of theoretical value in that they indicate important audio-visual characteristics of forest trail landscapes. In terms of practical applications, these findings support the construction of urban forest trails to provide health benefits.
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A person's place of residence is a strong risk factor for important diagnosed chronic diseases such as diabetes. It is unclear whether neighborhood-level risk factors also predict the probability of undiagnosed disease. The objective of this study was to identify neighborhood-level variables associated with severe hyperglycemia among emergency department (ED) patients without a history of diabetes. ⋯ Many geospatial exposures were associated with uncontrolled hyperglycemia, even after controlling for individual-level risk factors. The most strongly associated neighborhood-level variables included lower markers of educational attainment, higher percentage of households where limited English is spoken, lower rates of white-collar employment, and higher rates of Medicaid insurance. Including these geospatial factors in risk assessment models may help identify important subgroups of patients with undiagnosed disease.