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Support for Weight-Related Anti-Discrimination Laws and Policies: Modelling the Role of Attitudes Toward Poverty Alongside Weight Stigma, Causal Attributions about Weight, and Prejudice

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posted on 2023-09-01, 15:22 authored by Viren Swami, Martin Voracek, Adrian Furnham, Charlotte Robinson, Ulrich S Tran
In the present study, we sought to position support for weight-related anti-discrimination laws and policies within a broader political and socioeconomic context. Specifically, we hypothesised that individualistic (rather than structural) anti-poverty attitudes would provide the basis for negative weight-related dispositions. To test this hypothesis, we asked 392 respondents from the United Kingdom to complete measures of support for weight-related anti-discrimination laws and policies, attributions about the causes of being larger-bodied, and weight-related stigma and prejudice. Path analysis with robust maximum likelihood estimation indicated that greater individualistic anti-poverty attitudes were significantly and directly associated with lower support for weight-related anti-discrimination laws and policies. This direct association was also significantly mediated by weight-related stigma and via a serial mediation involving both weight-related stigma and prejudice. Although greater individualistic anti-poverty attitudes were significantly associated with greater personal attributions for being larger-bodied, the latter did not emerge as a significant mediation pathway. The present findings highlight the importance of considering broader political and socioeconomic contextual factors that may provide a basis for the development, maintenance, and manifestation of negative weight-related dispositions.

History

Refereed

  • Yes

Volume

45

Page range

391-400

Publication title

Body Image

ISSN

1873-6807

Publisher

Elsevier

File version

  • Accepted version

Language

  • eng

Legacy posted date

2023-05-19

Legacy creation date

2023-05-19

Legacy Faculty/School/Department

Faculty of Science & Engineering

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