'Who do they think we are, anyway?': perceptions of and responses to poverty stigma.

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Title: 'Who do they think we are, anyway?': perceptions of and responses to poverty stigma.
Authors: Reutter LI (AUTHOR), Stewart MJ (AUTHOR), Veenstra G (AUTHOR), Love R (AUTHOR), Raphael D (AUTHOR), Makwarimba E (AUTHOR)
Source: Qualitative Health Research. Mar2009, Vol. 19 Issue 3, p297-311. 15p.
Abstract: In this article, we report on qualitative findings pertaining to low-income people's perceptions of and responses to 'poverty stigma,' a key component of social exclusion with important implications for health and well-being. Our findings are drawn from a multimethod study designed to investigate experiences of social exclusion and social isolation among people living on low incomes. We conducted semistructured individual interviews (n = 59) and group interviews (total n = 34) with low-income residents of two large Canadian cities. Data were analyzed using thematic content analysis techniques. Participants overwhelmingly thought that other members of society tend to view them as a burden to society-as lazy, disregarding of opportunities, irresponsible, and opting for an easy life. Low-income people responded to perceived stigma with a variety of cognitive and behavioral strategies that reflected their efforts to reconcile their perceived 'social' and 'personal' identities. These strategies included confronting discrimination directly, disregarding responses from others, helping other low-income people, withdrawing and isolating themselves from others, engaging in processes of cognitive distancing, and concealing their financial situation. [ABSTRACT FROM AUTHOR]
Copyright of Qualitative Health Research is the property of Sage Publications Inc. 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.)
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  Data: 'Who do they think we are, anyway?': perceptions of and responses to poverty stigma.
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  Data: <searchLink fieldCode="JN" term="%22Qualitative+Health+Research%22">Qualitative Health Research</searchLink>. Mar2009, Vol. 19 Issue 3, p297-311. 15p.
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  Data: In this article, we report on qualitative findings pertaining to low-income people's perceptions of and responses to 'poverty stigma,' a key component of social exclusion with important implications for health and well-being. Our findings are drawn from a multimethod study designed to investigate experiences of social exclusion and social isolation among people living on low incomes. We conducted semistructured individual interviews (n = 59) and group interviews (total n = 34) with low-income residents of two large Canadian cities. Data were analyzed using thematic content analysis techniques. Participants overwhelmingly thought that other members of society tend to view them as a burden to society-as lazy, disregarding of opportunities, irresponsible, and opting for an easy life. Low-income people responded to perceived stigma with a variety of cognitive and behavioral strategies that reflected their efforts to reconcile their perceived 'social' and 'personal' identities. These strategies included confronting discrimination directly, disregarding responses from others, helping other low-income people, withdrawing and isolating themselves from others, engaging in processes of cognitive distancing, and concealing their financial situation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Qualitative Health Research is the property of Sage Publications Inc. 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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