Matching Items (25)
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Description

Disparities in healthy food access are well documented in cross-sectional studies in communities across the United States. However, longitudinal studies examining changes in food environments within various neighborhood contexts are scarce. In a sample of 142 census tracts in four low-income, high-minority cities in New Jersey, United States, we examined

Disparities in healthy food access are well documented in cross-sectional studies in communities across the United States. However, longitudinal studies examining changes in food environments within various neighborhood contexts are scarce. In a sample of 142 census tracts in four low-income, high-minority cities in New Jersey, United States, we examined the availability of different types of food stores by census tract characteristics over time (2009–2017). Outlets were classified as supermarkets, small grocery stores, convenience stores, and pharmacies using multiple sources of data and a rigorous protocol. Census tracts were categorized by median household income and race/ethnicity of the population each year. Significant declines were observed in convenience store prevalence in lower- and medium-income and majority black tracts (p for trend: 0.004, 0.031, and 0.006 respectively), while a slight increase was observed in the prevalence of supermarkets in medium-income tracts (p for trend: 0.059). The decline in prevalence of convenience stores in lower-income and minority neighborhoods is likely attributable to declining incomes in these already poor communities. Compared to non-Hispanic neighborhoods, Hispanic communities had a higher prevalence of small groceries and convenience stores. This higher prevalence of smaller stores, coupled with shopping practices of Hispanic consumers, suggests that efforts to upgrade smaller stores in Hispanic communities may be more sustainable.

ContributorsOhri-Vachaspati, Punam (Author) / DeWeese, Robin (Author) / Acciai, Francesco (Author) / DeLia, Derek Michael, 1969- (Author) / Tulloch, David (Author) / Tong, Daoqin (Author) / Lorts, Cori (Author) / Yedidia, Michael J., 1946- (Author)
Created2019-07-03
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Description

Introduction

The US Preventive Services Task Force recommends that all patients be screened for obesity and, if needed, be provided weight-loss advice. However, the prevalence of such advice is low and varies by patient demographics. This study aimed to describe the determinants of receiving weight-loss advice among a sample with

Introduction

The US Preventive Services Task Force recommends that all patients be screened for obesity and, if needed, be provided weight-loss advice. However, the prevalence of such advice is low and varies by patient demographics. This study aimed to describe the determinants of receiving weight-loss advice among a sample with a high proportion of low-income, racial/ethnic minority individuals.

Methods

Data were collected from a telephone survey of 1,708 households in 2009 and 2010 in 5 cities in New Jersey. Analyses were limited to 1,109 overweight or obese adults. Multivariate logistic regression determined the association of participants’ characteristics with receiving weight-loss advice from their health care provider. Two models were used to determine differences by income and insurance status.

Results

Of all overweight or obese respondents, 35% reported receiving advice to lose weight. Receiving advice was significantly associated with income in multivariate analysis. Compared with those with an income at or below 100% of the federal poverty level (FPL), those within 200% to 399% of the FPL had 1.60 higher odds of receiving advice (P = .02), and those with an income of 400% or more of the FPL had 1.73 higher odds of receiving advice (P = .03). The strength of the association did not change after adjusting for health insurance.

Conclusion

Income is a significant predictor of whether or not overweight or obese adults receive weight-loss advice after adjustment for demographic variables, health status, and insurance status. Further work is needed to examine why disparities exist in who receives weight-loss advice. Health care providers should provide weight-loss advice to all patients, regardless of income.

ContributorsLorts, Cori (Author) / Ohri-Vachaspati, Punam (Author)
Created2016-10-06
Description
While accounting for more than 6025 nonfatal and 2350 fatal overdoses in Arizona between January 2021 to September 2022, Opioid Use Disorder (OUD) is the most common relapsing disorder, characterized by addictive habits caused by the brain’s reward neurocircuits (Degenhardt et al., 2020). Access to Medication for Opioid Use Disorder

While accounting for more than 6025 nonfatal and 2350 fatal overdoses in Arizona between January 2021 to September 2022, Opioid Use Disorder (OUD) is the most common relapsing disorder, characterized by addictive habits caused by the brain’s reward neurocircuits (Degenhardt et al., 2020). Access to Medication for Opioid Use Disorder (MOUD) is necessary to prevent opioid dependence and possible overdoses. The purpose of this study is to investigate the relationships between MOUD prescription numbers, retail prescription costs, and individual drug costs in rural and urban Arizona areas. Heatmaps were created to illustrate the geographical relationships between the average changes overtime. The total averages between the prescription numbers and retail prescription costs over time yielded a moderate positive linear relationship between the two. The relationships between the number of MOUD prescriptions and the average retail costs per zip code allowed for the identification of the most and least affected zip codes in the state as well as rural areas. Twelve rural zip codes were identified as having high prescription numbers with high retail costs whereas the rest had either high prescription numbers with low retail costs, low prescription numbers with high retail costs, or low prescription numbers with low retail costs. Based on these findings, potential social and economic variables may be able to be identified in future studies.
ContributorsPawley, Kathleen (Author) / Martin, Matthew (Thesis director) / Tong, Daoqin (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2022-12
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Description
Equity concerning food access has gained a lot of attention in the past decades. This problem can be seen in the dearth of supermarkets offering healthy food at reasonable prices in disadvantaged neighborhoods. Numerous studies show that the disparity in the distribution of food outlets has resulted in disparities in

Equity concerning food access has gained a lot of attention in the past decades. This problem can be seen in the dearth of supermarkets offering healthy food at reasonable prices in disadvantaged neighborhoods. Numerous studies show that the disparity in the distribution of food outlets has resulted in disparities in health outcomes. To mitigate the issue, various intervention strategies have been proposed and implemented, including introducing new supermarkets, mobile food markets, community gardens, and city farms in these neighborhoods. Among these strategies, mobile food markets have gained the attention of practitioners and policymakers for their low costs and service flexibility. Challenges remain in identifying the sites for best serving the people in need given limited resources. In this study, a new spatial optimization model is proposed to determine the best locations for mobile food markets in the City of Phoenix. The new model aims to cover the largest number of people with food access challenges while minimizing transportation costs. Compared with the existing mobile market sites, the sites provided by the new model can increase the coverage of low-food access residents with a shorter transportation distance. The new model has also been applied to help expand the service provider of the existing mobile food markets. In addition to mobile food markets, the method provided in this study can be extended to support the planning of other food outlets and food assistance services.
ContributorsLu, Junzhou (Author) / Tong, Daoqin (Thesis advisor) / Connor, Dylan (Committee member) / Kuby, Michael (Committee member) / Arizona State University (Publisher)
Created2022
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Description
With the acceleration of urbanization in many parts of the world, transportation challenges such as traffic congestion, increasing carbon emissions, and the “first/last-mile” connectivity problems for commuter travel have arisen. Transport experts and policymakers have proposed shared transportation, such as dockless e-scooters and bike-sharing programs, to solve some of these

With the acceleration of urbanization in many parts of the world, transportation challenges such as traffic congestion, increasing carbon emissions, and the “first/last-mile” connectivity problems for commuter travel have arisen. Transport experts and policymakers have proposed shared transportation, such as dockless e-scooters and bike-sharing programs, to solve some of these urban transportation issues. In cities with high population densities, multimodal mobility hubs designed to integrate shared and public transportation can be implemented to achieve faster public connections and thus increase access to public transport on both access and egress sides. However, haphazard drop-offs of these dockless vehicles have led to complaints from community members and motivated the need for neighborhood-level parking areas (NLPAs). Simultaneously, concerns about the equitable distribution of transportation infrastructure have been growing and have led to the Biden Administration announcing the Justice40 Initiative which requires 40% of certain federal investments to benefit disadvantaged communities. To plan a system of NLPAs to address not only the transportation shortcomings while elevating these recent equity goals, this thesis develops a multi-objective optimal facility location model that maximizes coverage of both residential areas and transit stations while including a novel constraint to satisfy the requirements of Justice40. The model is applied to the City of Tempe, Arizona, and uses GIS data and spatial analyses of the existing public transportation stops, estimates of transit station boardings, population by census block, and locations of disadvantaged communities to optimize NLPA location. The model generates Pareto optimal tradeoff curves for different numbers of NLPAs to find the non-dominated solutions for the coverage of population nodes and boardings. The analysis solves the multi-objective model with and without the equity constraint, showing the effect of considering equity in developing a multimodal hub system, especially for disadvantaged communities. The proposed model can provide a decision support tool for transport and public authorities to plan future investments and facilitate multimodal transport.
ContributorsQuan, Hejun (Author) / Kuby, Michael (Thesis advisor) / Frazier, Amy (Thesis advisor) / Tong, Daoqin (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Increasing globalization and the knowledge-based economy creates a higher-than-ever demand for skilled migrant labor. While Global North countries are the traditional destinations for skilled migrants, Global South countries have recently joined the race for such talent. The conventional migration scholarship does not adequately explain this increasing Global-North-to-South skilled migration. This

Increasing globalization and the knowledge-based economy creates a higher-than-ever demand for skilled migrant labor. While Global North countries are the traditional destinations for skilled migrants, Global South countries have recently joined the race for such talent. The conventional migration scholarship does not adequately explain this increasing Global-North-to-South skilled migration. This dissertation fills the gap by studying mobility and its underlying factors for skilled U.S. migrants in the Pearl River Delta region of China. Using data from semi-structured interviews and sketch mapping, this dissertation develops a capital-mobility framework and employs intersectionality theory to examine the impacts of skilled U.S. migrants’ capital and intentionality on global and local spatial mobility as well as occupational and social mobility. The first empirical paper highlights skilled U.S. migrants’ cross-border im/mobility and introduces the capital-mobility framework that argues migrants’ im/mobility outcomes are shaped by their aspirations to move, and the accumulation, transferability and convertibility of various forms of capital. While the migrants’ capital was smoothly transferred to China and facilitated their voluntary mobility, the continued accumulation of capital in China could not be fully transferred to the U.S. upon their return, thus causing involuntary immobility. Although they mostly had little intention of staying in China permanently, the COVID-19 accelerated their return. The second empirical chapter shows that one’s accumulation of capital could generate both enabling and limiting effects on their everyday mobility through influencing the capability to move and the demand for local travel. Whether migrants had intention to move around in the local city also affects their everyday im/mobility. The third empirical paper discusses skilled U.S. migrants’ occupational and social mobility and how they are influenced by the intersections of race, gender and citizenship. I coined the term “glass box” to explain the limited professional growth and segregated occupations of skilled U.S. migrants’ occupational mobility in China. Although their social mobility improved after moving to China, it declined after rising racial discrimination and xenophobia during the pandemic. This dissertation sheds light on the aspirations and capabilities for mobility among Global-North-to-South skilled migrants and provides policy recommendations for attracting and retaining skilled international migrants.
ContributorsTan, Yining (Author) / Li, Wei (Thesis advisor) / Tsuda, Takeyuki (Committee member) / Tong, Daoqin (Committee member) / Nelson, Trisalyn (Committee member) / Arizona State University (Publisher)
Created2022
Description

Many factors influence children’s health behaviors and health outcomes. The Social Ecological Model (SEM) groups these factors into interactive layers, creating a framework for understanding their influence and for designing interventions to achieve positive change. The layers of influence in the SEM include individual, interpersonal, organizational, community, and policy factors.

ContributorsOhri-Vachaspati, Punam (Contributor) / Yedidia, Michael J., 1946- (Contributor) / New Jersey Child Health Study (Contributor, Contributor) / Stevens, Clinton (Contributor) / Rutgers Center for State Health Policy (Contributor) / ASU College of Health Solutions (Contributor)
Created2019-10
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Description

This brief summarizes the different types of food stores open in New Brunswick, New Jersey and in a one mile radius around the city during 2008 to 2014.