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Death and taxes: Examining the racial inequality in premature death across neighborhoods.

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Title: Death and taxes: Examining the racial inequality in premature death across neighborhoods.
Authors: Zuberi, Anita (AUTHOR), Teixeira, Samantha (AUTHOR)
Source: Journal of Community Psychology. Sep2021, Vol. 49 Issue 7, p2348-2365. 18p. 4 Charts, 1 Graph, 1 Map.
Subjects: Racial inequality, Early death, Neighborhoods, American Community Survey, Tax collection
Geographic Terms: Pittsburgh (Pa.)
Abstract: Legacies of residential segregation have led to deep inequities felt in communities of color across the nation and have been established as a fundamental cause of health disparities. Historical practices such as the redlining of majority Black neighborhoods in cities have led to long term consequences on these communities, including concentrated poverty and disadvantage. Research shows a strong connection between living in a poor neighborhood and poorer health outcomes, including early death, but questions remain about what characteristics of poor neighborhoods drive these disparities. We combined data from the American Community Survey with administrative data from Pittsburgh, Pennsylvania to examine the difference in premature death in Black and white neighborhoods (N = 87) using measures of socioeconomic disadvantage and less commonly studied neighborhood features including vacancy, tax delinquency, and property sales and conditions. Results suggest that features of abandonment, particularly the percent of tax delinquent properties in a neighborhood, may capture an important structural difference between majority Black and majority white neighborhoods with impacts beyond socioeconomic disadvantage on community health. We discuss implications of these findings for research and practice. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Death and taxes: Examining the racial inequality in premature death across neighborhoods.
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  Data: <searchLink fieldCode="AR" term="%22Zuberi%2C+Anita%22">Zuberi, Anita</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teixeira%2C+Samantha%22">Teixeira, Samantha</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Community+Psychology%22">Journal of Community Psychology</searchLink>. Sep2021, Vol. 49 Issue 7, p2348-2365. 18p. 4 Charts, 1 Graph, 1 Map.
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  Data: <searchLink fieldCode="DE" term="%22Racial+inequality%22">Racial inequality</searchLink><br /><searchLink fieldCode="DE" term="%22Early+death%22">Early death</searchLink><br /><searchLink fieldCode="DE" term="%22Neighborhoods%22">Neighborhoods</searchLink><br /><searchLink fieldCode="DE" term="%22American+Community+Survey%22">American Community Survey</searchLink><br /><searchLink fieldCode="DE" term="%22Tax+collection%22">Tax collection</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Pittsburgh+%28Pa%2E%29%22">Pittsburgh (Pa.)</searchLink>
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  Label: Abstract
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  Data: Legacies of residential segregation have led to deep inequities felt in communities of color across the nation and have been established as a fundamental cause of health disparities. Historical practices such as the redlining of majority Black neighborhoods in cities have led to long term consequences on these communities, including concentrated poverty and disadvantage. Research shows a strong connection between living in a poor neighborhood and poorer health outcomes, including early death, but questions remain about what characteristics of poor neighborhoods drive these disparities. We combined data from the American Community Survey with administrative data from Pittsburgh, Pennsylvania to examine the difference in premature death in Black and white neighborhoods (N = 87) using measures of socioeconomic disadvantage and less commonly studied neighborhood features including vacancy, tax delinquency, and property sales and conditions. Results suggest that features of abandonment, particularly the percent of tax delinquent properties in a neighborhood, may capture an important structural difference between majority Black and majority white neighborhoods with impacts beyond socioeconomic disadvantage on community health. We discuss implications of these findings for research and practice. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1002/jcop.22658
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 2348
    Subjects:
      – SubjectFull: Racial inequality
        Type: general
      – SubjectFull: Early death
        Type: general
      – SubjectFull: Neighborhoods
        Type: general
      – SubjectFull: American Community Survey
        Type: general
      – SubjectFull: Tax collection
        Type: general
      – SubjectFull: Pittsburgh (Pa.)
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      – TitleFull: Death and taxes: Examining the racial inequality in premature death across neighborhoods.
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            NameFull: Teixeira, Samantha
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              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
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              Value: 49
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