U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Identifying Counties Vulnerable to Diabetes from Obesity Prevalence in the United States: A Spatiotemporal Analysis



Details

  • Personal Author:
  • Description:
    Clinical and epidemiological research has reported a strong association between diabetes and obesity. However, whether increased diabetes prevalence is more likely to appear in areas with increased obesity prevalence has not been thoroughly investigated in the United States (US). The Bayesian structured additive regression model was applied to identify whether counties with higher obesity prevalence are more likely clustered in specific regions in 48 contiguous US states. Prevalence data adopted the small area estimate from the Behavioral Risk Factor Surveillance System. Confounding variables like socioeconomic status adopted data were from the American Community Survey. This study reveals that an increased percentage of relative risk of diabetes was more likely to appear in Southeast, Northeast, Central and South regions. Of counties vulnerable to diabetes, 36.8% had low obesity prevalence, and most of them were located in the Southeast, Central, and South regions. The geographic distribution of counties vulnerable to diabetes expanded to the Southwest, West and Northern regions when obesity prevalence increased. This study also discloses that 7.4% of counties had the largest average in predicted diabetes prevalence compared to the other counties. Their average diabetes prevalence escalated from 8.7% in 2004 to 11.2% in 2011. This study not only identifies counties vulnerable to diabetes due to obesity, but also distinguishes counties in terms of different levels of vulnerability to diabetes. The findings can provide the possibility of establishing targeted surveillance systems to raise awareness of diabetes in those counties. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    1827-1987
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    299-306
  • Volume:
    11
  • Issue:
    3
  • NIOSHTIC Number:
    nn:20055385
  • Citation:
    Geospat Health 2016 Nov; 11(3):299-306
  • Contact Point Address:
    Lung-Chang Chien, Department of Biostatistics, University of Texas Health Science Center at Houston (UTHealth), School of Public Health in San Antonio, 7411 John Smith Drive, Suite 1100, San Antonio, TX 78229, USA
  • Email:
    Lung-Chang.Chien@uth.tmc.edu
  • Federal Fiscal Year:
    2017
  • Performing Organization:
    University of Texas Health Science Center, Houston
  • Peer Reviewed:
    True
  • Start Date:
    20050701
  • Source Full Name:
    Geospatial Health
  • End Date:
    20250630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:7f919d30400fdc8e29be6eea1f0ec2188ef16e0b5a01fc5a0f29d0a61c966006570bd11ed143f9f4a8f523e7f877df05a1e3dc55ce8c392c2b777b965e62e856
  • Download URL:
  • File Type:
    Filetype[PDF - 1.09 MB ]
PREVIOUS
ON THIS PAGE
Details
CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP