99 research outputs found

    Integrating Grey and Green Infrastructure to Improve the Health and Well-being of Urban Populations

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    One of the enduring lessons of cities is the essential relationship between grey infrastructure (e.g., streets and buildings) and green infrastructure (e.g., parks and open spaces). The design and management of natural resources to enhance human health and well-being may be traced back thousands of years to the earliest urban civilizations. From the irrigation projects of the Indus Valley and the aqueducts of the Roman Empire to integrated systems of landscaped urban parks and street trees in contemporary times, humans have sought to harness the capacity of nature to advance city life. This article presents a systems science framework that delineates critical relationships between grey and green elements of cities and human health and well-being by modeling the complex, dynamic problem of asthma in socioeconomically disadvantaged city neighborhoods. By understanding the underlying structure of urban spaces and the importance of social interactions, urban planners, public health officials, and community members may capitalize on opportunities to leverage resources to improve the health and well-being of urban populations and promote social justice and health equity

    A multilevel analysis of income inequality and cardiovascular disease risk factors.

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    Recent research has suggested that inequality in the distribution of income is associated with increased mortality, even after accounting for average income levels. Using data from the Behavioral Risk Factor Surveillance System (BRFSS), we investigated whether inequality in the distribution of income within US states is related to the prevalence of four cardiovascular disease risk factors (body mass index (BMI), history of hypertension, sedentarism, and smoking). Multilevel models (including both state-level and individual-level variables) were used to examine associations of state inequality with risk factor levels before and after adjustment for individual-level income. For three of the four risk factors investigated (BMI, hypertension, and sedentarism), state inequality was associated with increased risk factor levels, particularly at low income levels (annual household incomes <$25,000), with associations persisting after adjustment for individual-level income. Inequality was also positively associated with smoking, but associations were either stronger or only present at higher income levels. Associations of inequality with the outcomes were statistically significant in women but not in men. Although not conclusive, findings for three of the four risk factors are suggestive of a contextual effect of income inequality, particularly among persons with lower incomes.http://deepblue.lib.umich.edu/bitstream/2027.42/78997/1/DiezRouxLink2000_SocSciMed.pd

    Income inequality and cardiovascular disease risk factors

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    http://deepblue.lib.umich.edu/bitstream/2027.42/56181/1/Diez Roux Av, Income inequality and cardiovascular disease risk factors, 2000.pd

    Prevalence and social correlates of cardiovascular disease risk factors in Harlem

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    http://deepblue.lib.umich.edu/bitstream/2027.42/55440/1/Diez Roux AV, Prevalence and social correlates of cardiovascular disease risk factors in Harlem, 1999.pd

    Feasibility and acceptability of an oral pathology asynchronous tele-mentoring intervention: A protocol

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    Introduction: Oral cancer remains prevalent, despite being largely preventable. The widespread use of technology at chairside, combined with advances in electronic health record (EHR) capabilities, present opportunities to improve oral cancer screening by dentists, especially for disadvantaged patients with severe health needs. Design and methods: Using a mixed-methods approach, we will evaluate the feasibility and acceptability of integrating a tele-mentoring component into the identification of oral lesions using the following 3 methods: 1) administering provider surveys that consist of a checklist of 10 key components of the intervention based on process, and asking the dental provider subjects if each one was covered; 2) conducting semi-structured interviews informed by the Consolidated Framework for Implementation Research and the Implementation Outcomes Framework with dental resident subjects to assess specific barriers to sustaining the intervention and strategies for addressing these barriers to facilitate integration of the intervention into the routine workflow of the dental clinics; and 3) administering brief exit interviews with patient subjects regarding the acceptability of the intervention to assess satisfaction with the use of intra-oral cameras at chairside to screen for and refer patients with oral lesions and identification of these oral lesions via EHR and secure e-mail tele-mentoring with an oral pathology expert.Expected impact of the study for public health: If successful, then later clinical trials will maximize the external validity of the intervention and facilitate the widespread implementation and dissemination of the model for the teaching of dentists and residents, with the ultimate goal of improving patient care

    Using focus groups to design systems science models that promote oral health equity

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    Background While the US population overall has experienced improvements in oral health over the past 60 years, oral diseases remain among the most common chronic conditions across the life course. Further, lack of access to oral health care contributes to profound and enduring oral health inequities worldwide. Vulnerable and underserved populations who commonly lack access to oral health care include racial/ethnic minority older adults living in urban environments. The aim of this study was to use a systematic approach to explicate cause and effect relationships in creating a causal map, a type of concept map in which the links between nodes represent causality or influence. Methods To improve our mental models of the real world and devise strategies to promote oral health equity, methods including system dynamics, agent-based modeling, geographic information science, and social network simulation have been leveraged by the research team. The practice of systems science modeling is situated amidst an ongoing modeling process of observing the real world, formulating mental models of how it works, setting decision rules to guide behavior, and from these heuristics, making decisions that in turn affect the state of the real world. Qualitative data were obtained from focus groups conducted with community-dwelling older adults who self-identify as African American, Dominican, or Puerto Rican to elicit their lived experiences in accessing oral health care in their northern Manhattan neighborhoods. Results The findings of this study support the multi-dimensional and multi-level perspective of access to oral health care and affirm a theorized discrepancy in fit between available dental providers and patients. The lack of information about oral health at the community level may be compromising the use and quality of oral health care among racial/ethnic minority older adults. Conclusions Well-informed community members may fill critical roles in oral health promotion, as they are viewed as highly credible sources of information and recommendations for dental providers. The next phase of this research will involve incorporating the knowledge gained from this study into simulation models that will be used to explore alternative paths toward improving oral health and health care for racial/ethnic minority older adults
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