Where Is Obesity Prevention on the Map? Distribution and Predictors of Local Health Department Prevention Activities in Relation to County-Level Obesity Prevalence in the US

Details

• Alternative Title:
  J Public Health Manag Pract
• Personal Author:
  Stamatakis, Katherine A. ; Leatherdale, Scott T. ; Marx, Christine ; Yan, Yan ; Colditz, Graham A. ; Brownson, Ross C.
• Description:
  Context ; The system of local health departments (LHD) in the US has potential to advance a locally-oriented public health response in obesity control and reduce geographic disparities. However, the extent to which obesity prevention programs correspond to local obesity levels is unknown. ; Objective ; This study examines the extent to which LHDs across the US have responded to local levels of obesity by examining the association between jurisdiction level obesity prevalence and the existence of obesity prevention programs. ; Design ; Data on LHD organizational characteristics from the Profile Study of Local Health Departments and county-level estimates of obesity from the Behavioral Risk Factor Surveillance System were analyzed (n=2,300). Since local public health systems are nested within state infrastructure, multilevel models were used to examine the relationship between county-level obesity prevalence and LHD obesity prevention programming and to assess the impact of state-level clustering. ; Setting ; 2,300 local health department jurisdictions defined with respect to county boundaries ; Participants ; Practitioners in local health departments who responded to the 2005 Profile Study of Local Health Departments. ; Main Outcome Measures ; Likelihood of having obesity prevention activities and association with area-level obesity prevalence ; Results ; The existence of obesity prevention activities was not associated with prevalence of obesity in the jurisdiction. A substantial portion of the variance in LHD activities was explained by state-level clustering. ; Conclusions ; This paper identified a gap in the local public health response to the obesity epidemic and underscores the importance of multilevel modeling in examining predictors of LHD performance.
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• Subjects:
  • Catchment Area, Health
  • Community Networks
  • Evidence-Based Practice
  • Health Care Surveys
  • Health Plan Implementation
  • Health Planning Guidelines
  • Health Promotion
  • Health Status Disparities
  • Humans
  • Interinstitutional Relations
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• Keywords:
  • Obesity
  • Primary Prevention
  • Community Health Services
  • Public Health Practice
  • Multilevel Analysis
  • Geographic Information Systems
• Source:
  J Public Health Manag Pract. 18(5):402-411
• Pubmed ID:
  22836530
• Pubmed Central ID:
  PMC3711616
• Document Type:
  Journal Article
• Funding:
  U48 DP000060-04/DP/NCCDPHP CDC HHSUnited States/ ; P30 DK092950/DK/NIDDK NIH HHSUnited States/ ; DP000060-04/DP/NCCDPHP CDC HHSUnited States/ ; UL1 TR000448/TR/NCATS NIH HHSUnited States/ ; U48/DP000060/DP/NCCDPHP CDC HHSUnited States/ ; KL2 RR024994/RR/NCRR NIH HHSUnited States/ ; U48 DP000060/DP/NCCDPHP CDC HHSUnited States/ ; KL2 TR000450/TR/NCATS NIH HHSUnited States/ ; UL1RR024992/RR/NCRR NIH HHSUnited States/ ; UL1 RR024992/RR/NCRR NIH HHSUnited States/
• Volume:
  18
• Issue:
  5
• Download URL:
  https://stacks.cdc.gov/view/cdc/33597/cdc_33597_DS1.pdf
• File Type:
  [PDF - 1.84 MB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:0bf16ad646dfb3bb3e78115b1e92dbcf7e5f74f844cc2af2f44579fe7e09116a