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Use of density-equalizing cartograms to visualize trends and disparities in state-specific prevalence of obesity: 1996-2006

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  • Houle, B.
  • Holt, J.
  • Gillespie, C.
  • Freedman, D.S.
  • Reyes, M.

Abstract

Objectives. We used cartograms to visually communicate the state-specific prevalence of obesity and its association with socioeconomic variables over time to benefit and inform decisions by national health policymakers who address geographic and social inequities in health. Methods. We generated density-equalizing maps, known as cartograms (in which geographic regions are sized in proportion to some variable), that illustrate indicators of population and educational attainment. We also provide an innovative presentation of the obesity choropleth map (which presents values for areas by shading). Results. The maps depict the absolute burden of obesity, the inverse association between obesity and education, and geographic patterns in the prevalence of obesity over time. Conclusions. The prevalence of obesity in the United States continues to increase. These cartograms can help stakeholders interpret surveillance data and their relation to demographic and socioeconomic characteristics to inform decisions.

Suggested Citation

  • Houle, B. & Holt, J. & Gillespie, C. & Freedman, D.S. & Reyes, M., 2009. "Use of density-equalizing cartograms to visualize trends and disparities in state-specific prevalence of obesity: 1996-2006," American Journal of Public Health, American Public Health Association, vol. 99(2), pages 308-312.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2008.138750_1
    DOI: 10.2105/AJPH.2008.138750
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    1. Peter F Rebeiro & Stephen J Gange & Michael A Horberg & Alison G Abraham & Sonia Napravnik & Hasina Samji & Baligh R Yehia & Keri N Althoff & Richard D Moore & Mari M Kitahata & Timothy R Sterling & F, 2016. "Geographic Variations in Retention in Care among HIV-Infected Adults in the United States," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-17, January.
    2. Xinyi Zhao & Samin Aref & Emilio Zagheni & Guy Stecklov, 2022. "Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7707-7729, December.

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