Objective—Significant clusters of high and low obesity counties have been demonstrated across the United States (U.S.). This study examined regional disparities in obesity prevalence and differences in the related structural characteristics across regions of the U.S. Design and Methods—Drawing on model-based estimates from the Centers for Disease Control and Prevention, regional differences in county-level adult obesity prevalence (percent of the adult population [ ≥ 20 years] that was obese [BMI≥30kg/m2] within a county, 2009) were assessed with a LISA (Local Indicators of Spatial Association) analysis to identify geographic concentrations of high and low obesity levels. We utilized regional regime analysis to identify factors that were di...
BackgroundThere is considerable geographic heterogeneity in obesity prevalence across counties in th...
This article quantifies the importance of demographic and food environment variables in determining ...
A. Map of actual obesity prevalence; B. Map of obesity prevalence predicted by the random forest mod...
Data on the national and state levels is often used to inform policy decisions and strategies design...
There is much ongoing research about the effect of the urban environment as compared with individual...
Clinical and epidemiological research has reported a strong association between diabetes and obesity...
The prevalence of obesity has increased dramatically in recent decades. It is an important public he...
Objectives: To investigate whether regional health disparities could explain health outcome differen...
IntroductionNational obesity prevention strategies may benefit from precision health approaches invo...
While obesity disparities between racial and socioeconomic groups have been well characterized, thos...
Health outcomes vary on a small scale; therefore, national level statistics inaccurately represent t...
Obesity in the United States has been linked to individual income and education. Less is known about...
ContextThe system of local health departments (LHD) in the US has potential to advance a locally-ori...
Obesity rates in the U.S. are associated with area-level, food-related characteristics. Studies have...
Objectives The objective of this study was to examine the socio-demographic disparities in obesity a...
BackgroundThere is considerable geographic heterogeneity in obesity prevalence across counties in th...
This article quantifies the importance of demographic and food environment variables in determining ...
A. Map of actual obesity prevalence; B. Map of obesity prevalence predicted by the random forest mod...
Data on the national and state levels is often used to inform policy decisions and strategies design...
There is much ongoing research about the effect of the urban environment as compared with individual...
Clinical and epidemiological research has reported a strong association between diabetes and obesity...
The prevalence of obesity has increased dramatically in recent decades. It is an important public he...
Objectives: To investigate whether regional health disparities could explain health outcome differen...
IntroductionNational obesity prevention strategies may benefit from precision health approaches invo...
While obesity disparities between racial and socioeconomic groups have been well characterized, thos...
Health outcomes vary on a small scale; therefore, national level statistics inaccurately represent t...
Obesity in the United States has been linked to individual income and education. Less is known about...
ContextThe system of local health departments (LHD) in the US has potential to advance a locally-ori...
Obesity rates in the U.S. are associated with area-level, food-related characteristics. Studies have...
Objectives The objective of this study was to examine the socio-demographic disparities in obesity a...
BackgroundThere is considerable geographic heterogeneity in obesity prevalence across counties in th...
This article quantifies the importance of demographic and food environment variables in determining ...
A. Map of actual obesity prevalence; B. Map of obesity prevalence predicted by the random forest mod...