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Cited by 230

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The Long-Run Growth in Obesity as a Function of Technological Change

Open access
Philipson, Tomas J, Posner, Richard A·2003·Perspectives in Biology and Medicine

Abstract

This paper analyzes the forces contributing to the worldwide long-run rise in obesity and the role of public interventions in affecting its continued growth. A growth in obesity in a population must result from the growth of calorie consumption outpacing the growth of physical activity. Yet historically in developed countries, obesity has grown with modest rises in calorie consumption and with a substantial increase in both exercise and dieting. We consider the economic incentives that give rise to the long-run growth in obesity by stimulating intake of calories at the same time as discouraging the expending of calories on physical activity, whether in work or leisure. We argue that technological change provides a natural interpretation of the long-run growth in obesity, that it predicts that the effect of income on obesity changes from positive to negative with economic development, and that it implies that technological change may not continue to raise weight. We discuss the positive and normative impacts of direct and indirect public interventions to reduce obesity.

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Crossref · 10.1353/pbm.2003.0058

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Metadata

Authors
Philipson, T. J., & Posner, R. A.
Venue
Perspectives in Biology and Medicine
Publisher
Project MUSE
Published
2003-06
Volume
46
Issue
3
Pages
S87-S107
ISSN
  • 0031-5982 (ISSN-L)
  • 1529-8795
OpenAlex
W2891253778
Cited by
230
References
2
FWCI
6.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Long-Run Growth in Obesity as a Function of Technological Change. https://app.cochat.ai/papers/10.1353/pbm.2003.0058
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Philipson, T. J., & Posner, R. A. (2003). The Long-Run Growth in Obesity as a Function of Technological Change. Perspectives in Biology and Medicine. https://doi.org/10.1353/pbm.2003.0058

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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.