Use of Density-Equalizing Cartograms to Visualize Trends and Disparities in State-Specific Prevalence of Obesity
1996–2006
Datos Bibliográficos
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
Association (psychology) · Economic growth · Educational attainment · Environmental health · Geography · Location · Obesity · Population · Public health · Socioeconomic status · Sociology · Data-Driven Disease Surveillance · Demography · Health disparities and outcomes · Medicine · Obesity, Physical Activity, Diet · Psychology
The Spread of the Obesity Epidemic in the United States, 1991-1998
A comparison of direct vs. self‐report measures for assessing height, weight and body mass index
Diffusion-based method for producing density-equalizing maps
The Epidemiology of Obesity
Prevalence and Trends in Obesity Among US Adults, 1999-2000
Prevalence of Overweight and Obesity in the United States, 1999-2004
IV. Epidemiology and planning for the North Carolina Regional Medical Program
Not all maps are equal
Breast cancer detection
Thirty Five Years of Computer Cartograms
Transformations of maps to investigate clusters of disease
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 0,15 |
| Intervalo de citas | 2013 - 2022 (10) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |