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Cited by 436

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Impact Of Obesity On Rising Medical Spending: Higher spending for obese patients is mainly attributable to treatment for diabetes and hypertension.

Thorpe, Kenneth E., Florence, Curtis S., Howard, David H., Joski, Peter·2004·Health Affairs

Abstract

Obese people incur higher health care costs at a given point in time, but how rising obesity rates affect spending growth over time is unknown. We estimate obesity-attributable health care spending increases between 1987 and 2001. Increases in the proportion of and spending on obese people relative to people of normal weight account for 27 percent of the rise in inflation-adjusted per capita spending between 1987 and 2001; spending for diabetes, 38 percent; spending for hyperlipidemia, 22 percent; and spending for heart disease, 41 percent. Increases in obesity prevalence alone account for 12 percent of the growth in health spending.

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Metadata

Authors
Thorpe, K. E., Florence, C. S., Howard, D. H., & Joski, P.
Venue
Health Affairs
Published
2004-01
Volume
23
Issue
Suppl1
Pages
W4-480-W4-486
ISSN
  • 0278-2715 (ISSN-L)
  • 1544-5208
OpenAlex
W2021561562
Cited by
436
References
2
FWCI
19.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Impact Of Obesity On Rising Medical Spending: Higher spending for obese patients is mainly attributable to treatment for diabetes and hypertension. https://app.cochat.ai/papers/10.1377/hlthaff.w4.480
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Thorpe, K. E., Florence, C. S., Howard, D. H., & Joski, P. (2004). The Impact Of Obesity On Rising Medical Spending: Higher spending for obese patients is mainly attributable to treatment for diabetes and hypertension. Health Affairs. https://doi.org/10.1377/hlthaff.w4.480

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.