Contextualising accounts of illness: notions of responsibility and blame in white and South Asian respondents' accounts of diabetes causation
Contextualising accounts of illness: notions of responsibility and blame in white and South Asian respondents' accounts of diabetes causation
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DOI：
10.1111/j.1467-9566.2007.01036.x
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发表时间：
2007-09-01
影响因子：
2.9
通讯作者：
Hallowell, Nina
中科院分区：
文献类型：
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作者：
Lawton, Julia;Ahmad, Naureen;Hallowell, Nina
我们对白色人（n = 32）、巴基斯坦人和印度人（n = 32）2型糖尿病患者的深入访谈进行了二次分析，探讨了他们对疾病病因的看法和理解。我们观察到这些受访者群体对疾病发展的责任和指责方式存在微妙但重要的差异。巴基斯坦和印度的受访者倾向于将责任外化，强调他们的生活环境和/或他们移民到英国的经历，以解释他们的糖尿病（或他们认为导致糖尿病的行为），相反，白色受访者倾向于强调他们自己的生活方式“选择”和“个人失败”的作用。在寻求理解这些差异，我们主张的概念和分析方法，包括微观（即日常）和宏观（即文化）的背景因素和经验。在这样做的时候，我们提供了一个社会科学研究的外行帐户/健康和疾病的理解的批评。我们建议，需要更多地关注研究遭遇（也就是说，谁在看谁，在什么情况下），以了解研究人员在呈现和解释他们的数据时强调的不同类型的背景。
We undertook a secondary analysis of in-depth interviews with white (n = 32) and Pakistani and Indian (n = 32) respondents who had type 2 diabetes, which explored their perceptions and understandings of disease causation. We observed subtle, but important, differences in the ways in which these respondent groups attributed responsibility and blame for developing the disease. Whereas Pakistani and Indian respondents tended to externalise responsibility, highlighting their life circumstances in general and/or their experiences of migrating to Britain in accounting for their diabetes (or the behaviours they saw as giving rise to it), white respondents, by contrast, tended to emphasise the role of their own lifestyle 'choices' and 'personal failings'. In seeking to understand these differences, we argue for a conceptual and analytical approach which embraces both micro- (i.e. everyday) and macro- (i.e. cultural) contextual factors and experiences. In so doing, we provide a critique of social scientific studies of lay accounts/understandings of health and illness. We suggest that greater attention needs to be paid to the research encounter (that is, to who is looking at whom and in what circumstances) to understand the different kinds of contexts researchers have highlighted in presenting and interpreting their data.