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ORIGINAL RESEARCH

A Multilevel Approach to Estimating Small Area Childhood Obesity Prevalence at the Census Block-Group Level

Minimum County Sample SizeCorrelation Coefficient
150.36006
200.38515
250.42713
300.43893
350.47809
400.49237
450.53382
500.57392
550.56295
600.57453
650.61358
700.63623
750.66335
800.66428
850.67865
900.7267
950.72228
1000.73423
1100.73482
1200.74902
1300.74292
1400.78155
1500.77709
1600.7826
1700.79612
1800.77936
1900.76577
2000.76577

 
Figure 1.
The relationship between correlation coefficients of model-based and direct survey estimates and minimum county sample size. The figure shows an increasing positive relationship between the correlation coefficients of model-based and direct survey estimates and the minimum county sample sizes.  As the minimum county sample size increases, the correlation between model-based and direct survey estimates also increases.  The correlation reaches approximately 0.90 and levels off once the minimum county sample size reaches 150.

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The figure is a map showing the block-group level estimates for childhood obesity prevalence, divided into 5 data ranges. The first range, the lowest (3.3%–12.0%), includes portions of states in New England, the Mid-Atlantic, the Midwest, the Rocky Mountains, and the Pacific Northwest.  The second (12.1%–16.8%), third (16.9%–22.0%), and fourth (22.1%–28.1%) ranges are distributed throughout the United States. The highest range (28.2%–42.7%) includes portions of states along the southern Atlantic coast, the Deep South, the Southwest, California, and Alaska. In some states, block-level childhood obesity rates vary greatly.

 
Figure 2.
Model-Based Childhood Obesity Prevalence Estimates by Block Group in the United States, 2010.

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