Bernard M, Fankhänel T, Riedel-Heller SG, Luck-Sikorski C. Does weight-related stigmatisation and discrimination depend on educational attainment and level of income? A systematic review.
BMJ Open 2019;
9:e027673. [PMID:
31740462 PMCID:
PMC6886928 DOI:
10.1136/bmjopen-2018-027673]
[Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES
Obesity is considered a global health issue, because of its health-related consequences and also because of its impact on social status as a result of stigma. This study aims to review the quantitative state of research regarding socioeconomic characteristics' influence on weight-related stigmatisation and discrimination. Based on Bourdieu's Theory of Class and his concept of 'habitus', it is assumed that people with a higher level of education and income show stronger negative attitudes towards people with obesity.
METHOD
A narrative systematic literature review was conducted in 2017 using PubMed, PsychINFO, Web of Science and the Cochrane Library. Seventeen studies that measured weight bias and either educational attainment or level of income were included in the analysis.
RESULTS
The results of the studies included were inconsistent: six of these studies were found to support the hypothesis, whereas two of the studies contradicted it. The remaining seven studies did not show any significant correlation between weight bias and either education or income.
CONCLUSION
In light of the inconsistent and heterogeneous results of the studies that report a significant association between weight bias and socioeconomic variables, the findings must be discussed concerning their cultural context, that is, cultural and governmental differences. Furthermore, educational attainment seems to be more likely to predict weight bias than income. The review revealed a lack of research when it came to examining the impact of socioeconomic capital on weight bias.
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