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Obesity Metaphors: How Beliefs about the Causes of Obesity Affect Support for Public Policy
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CONTEXT: Relatively little is known about the factors shaping public attitudes toward obesity as a policy concern. This study examines whether individuals' beliefs about the causes of obesity affect their support for policies aimed at stemming obesity rates. This article identifies a unique role of metaphor-based beliefs, as distinct from conventional political attitudes, in explaining support for obesity policies. METHODS: This article used the Yale Rudd Center Public Opinion on Obesity Survey, a nationally representative web sample surveyed from the Knowledge Networks panel in 2006/07 (N = 1,009). The study examines how respondents' demographic and health characteristics, political attitudes, and agreement with seven obesity metaphors affect support for sixteen policies to reduce obesity rates. FINDINGS: Including obesity metaphors in regression models helps explain public support for policies to curb obesity beyond levels attributable solely to demographic, health, and political characteristics. The metaphors that people use to understand rising obesity rates are strong predictors of support for public policy, and their influence varies across different types of policy interventions. CONCLUSIONS: Over the last five years, the United States has begun to grapple with the implications of dramatically escalating rates of obesity. Individuals use metaphors to better understand increasing rates of obesity, and obesity metaphors are independent and powerful predictors of support for public policies to curb obesity. Metaphorical reasoning also offers a potential framework for using strategic issue framing to shift support for obesity policies.
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“First, some illnesses are particularly embedded with cultural meaning-which is not directly derived from the nature of the condition-that shapes how society responds to those afflicted and influences the experience of that illness.”
From The Social Construction of Illness: Key Insights and Policy Implications (2010) · cites this paper as Barry et al. 2009
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Metadata
- Authors
- BARRY, C. L., BRESCOLL, V. L., BROWNELL, K. D., & SCHLESINGER, M.
- Affiliations
- Yale University (US)
- Corresponding author
- BARRY, COLLEEN L.
- Venue
- The Milbank Quarterly
- Publisher
- Wiley
- Published
- 2009-03
- Volume
- 87
- Issue
- 1
- Pages
- 7-47
- ISSN
- 0887-378X (ISSN-L)
- 1468-0009
- PMC
- PMC2879183
- OpenAlex
- W2157927542
- Cited by
- 278
- References
- 45
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 7 · 2023: 13 · 2022: 11 · 2021: 13 · 2020: 18 · 2019: 9 · 2018: 18 · 2017: 24 · 2016: 26 · 2015: 23 · 2014: 16 · 2013: 34 · 2012: 23
- FWCI
- 49.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Milbank Quarterly (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Robert Wood Johnson Foundation
- Yale University
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity and Health Practices
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Public Health Policies and Education
- Keywords
- obesity, public opinion, causal beliefs, public policy support, obesity prevention policy, political attitudes, issue framing, metaphorical reasoning, health policy
- MeSH terms
- Adolescent, Adult, Connecticut, Female, Health Promotion, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Obesity, Pilot Projects, Public Opinion, Public Policy, Surveys and Questionnaires, Risk Factors, United States, Logistic Models, Metaphor, Overweight, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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