Where I live: A qualitative analysis of renters living in poor housing

Marquez, Erika; Francis, Carolee Dodge; Gerstenberger, Shawn

doi:10.1016/j.healthplace.2019.05.021

Cited by 28 publications

(20 citation statements)

References 32 publications

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“…This caveat may bias the dataset in favor of relatively wealthier households and inadvertently skew the dataset away from renters and residential contexts such as mobile home parks [5]. These populations may be experiencing issues with their PDW but lack the (economic and political) capacity, agency, or perhaps feel apprehensive (out of fear of retaliation) to seek water quality testing through VAHWQP [44,45]. Given this background, locations where many VAHWQP samples were collected tend to have lower poverty rates, lower SNAP benefit rates, and greater rates of access to a vehicle compared to the Virginia as a while.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, since poverty and percent of children population may be biased by voluntary, economic, and other social barriers to VAHWQP entry, this study therefore likely underreports social vulnerability in locations with high poverty and/or rental rates. Other factors that may lead to underreporting social vulnerability are representative samples from populations who lack trust in the government, scientists, and institutions such as VAHWQP and those who perceive their PDW as "safe" to begin with [45,46].…”

Section: Discussionmentioning

confidence: 99%

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Assessing Strontium and Vulnerability to Strontium in Private Drinking Water Systems in Virginia

Scott

Juran

Ling

et al. 2020

Water

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A total of 1.7 million Virginians rely on private drinking water (PDW) systems and 1.3 million of those people do not know their water quality. Because most Virginians who use PDW do not know the quality of that water and since strontium poses a public health risk, this study investigates sources of strontium in PDW in Virginia and identifies the areas and populations most vulnerable. Physical factors such as rock type, rock age, and fertilizer use have been linked to elevated strontium concentrations in drinking water. Social factors such as poverty, poor diet, and adolescence also increase social vulnerability to health impacts of strontium. Using water quality data from the Virginia Household Water Quality Program (VAHWQP) and statistical and spatial analyses, physical vulnerability was found to be highest in the Ridge and Valley province of Virginia where agricultural land use and geologic formations with high strontium concentrations (e.g., limestone, dolomite, sandstone, shale) are the dominant aquifer rocks. In terms of social vulnerability, households with high levels of strontium are more likely than the average VAHWQP participant to live in a food desert. This study provides information to help 1.7 million residents of Virginia, as well as populations in neighboring states, understand their risk of exposure to strontium in PDW.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Assessing Strontium and Vulnerability to Strontium in Private Drinking Water Systems in Virginia

Scott

Juran

Ling

et al. 2020

Water

View full text Add to dashboard Cite

show abstract

“…Pfeiffer (2018) provides further evidence of this relationship with her observation that families with housing assistance spend less on healthcare than families with similar incomes but no housing assistance, suggesting housing stability and lower costs provide health benefits. In addition to cost burdens, low housing quality contributes to negative feelings of well-being and mental health (Marquez, Dodge Francis, & Gerstenberger, 2019).…”

Section: Consequences Of Evictionmentioning

confidence: 99%

Losing Your Home Is Bad for Your Health: Short- and Medium-Term Health Effects of Eviction on Young Adults

Hatch

Yun

2020

Housing Policy Debate

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U.S. cities are increasingly adopting antieviction policies predicated on the belief that evictions have negative consequences for families and communities. Yet the nature and duration of many of these consequences are relatively unknown. We add to the literature on the consequences of evictions by assessing the enduring effects of eviction on the self-reported health of young adults. Using the National Longitudinal Study of Adolescent to Adult Health (Add Health), we find evictions have both short-term (12 months) and medium-term (7-8 years) negative impacts on multiple measures of health. Individuals who experience an eviction are more likely to report being in poor general health or experiencing mental health concerns, even many years after an eviction. As state and local governments develop policies to reduce evictions, it is worth noting that any resulting decrease in evictions may have a positive impact on population health, making health professionals effective potential policymaking partners.

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“…In Iran, housing located in the margins of urban areas or old and impoverished neighbourhoods inside the cities are considered to be the spatial trap. The internal quality of housing refers to inappropriate construction materials and equipment as well as insufficient building footprint sizes (area of substructure), resulting in spatial trap (Marquez, Dodge Francis and Gerstenberger, 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluating housing in urban planning using TOPSIS technique: cities of Isfahan province

Izadi

Vardanjani

Varesi

2021

Bulletin of Geography. Socio-Economic Series

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The indices of housing serve as an important tool in planning for housing, in that they allow the parameters affecting housing to be recognised and any planning process to be facilitated. The purpose of the study is to investigate and to evaluate the housing situation in cities of Isfahan province. The study is applied and descriptive-analytic in terms of method. Thirty-nine indices were collected in the housing sector. Then the rate of prosperity and ranking of the cities were evaluated by TOPSIS method. Prosperity is defined here as an important index of housing that reflects the welfare of residents. The cities were then categorised into six levels of prosperity: Very important, Important, Partially important, Moderate, Poor and Very poor. The results from the study indicate an imbalance in the studied indices between the cities, and a clear disparity between the levels of prosperity in the cities, and the only city in the very prosperous group is Isfahan, with a rate of 0.813.

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Where I live: A qualitative analysis of renters living in poor housing

Cited by 28 publications

References 32 publications

Assessing Strontium and Vulnerability to Strontium in Private Drinking Water Systems in Virginia

Assessing Strontium and Vulnerability to Strontium in Private Drinking Water Systems in Virginia

Losing Your Home Is Bad for Your Health: Short- and Medium-Term Health Effects of Eviction on Young Adults

Evaluating housing in urban planning using TOPSIS technique: cities of Isfahan province

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