Charting Plausible Futures for Diabetes Prevalence in the United States: A Role for System Dynamics Simulation Modeling

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Milstein, Bobby ; Jones, Andrew ; Homer, Jack B ; Murphy, Dara ; Essien, Joyce ; Seville, Don
• Description:
  Introduction
  
  Healthy People 2010 (HP 2010) objectives call for a 38% reduction in the prevalence of diagnosed diabetes mellitus, type 1 and type 2, by the year 2010. The process for setting this objective, however, did not focus on the achievability or the compatibility of this objective with other national public health objectives. We used a dynamic simulation model to explore plausible trajectories for diabetes prevalence in the wake of rising levels of obesity in the U.S. population. The model helps to interpret historic trends in diabetes prevalence in the United States and to anticipate plausible future trends through 2010.
  
  Methods
  
  We conducted simulation experiments using a computer model of diabetes population dynamics to 1) track the rates at which people develop diabetes, are diagnosed with the disease, and die, and 2) assess the effects of various preventive-care interventions. System dynamics modeling methodology based on data from multiple sources guided the analyses.
  
  Results
  
  With the number of new cases of diabetes being much greater than the number of deaths among those with the disease, the prevalence of diagnosed diabetes in the United States is likely to continue to increase. Even a 29% reduction in the number of new cases (the HP 2010 objective) would only slow the growth, not reverse it. Increased diabetes detection rates or decreased mortality rates — also HP 2010 objectives — would further increase diagnosed prevalence.
  
  Conclusion
  
  The HP 2010 objective for reducing diabetes prevalence is unattainable given the historical processes that are affecting incidence, diagnosis, and mortality, and even a zero-growth future is unlikely. System dynamics modeling shows why interventions to protect against chronic diseases have only gradual effects on their diagnosed prevalence.
  
  
• Subjects:
  Computer Simulation Diabetes Mellitus Humans Longevity Models, Biological Original Research Prevalence Public Health Public Policy Risk Factors
• Source:
  Prev Chronic Dis. 2007; 4(3).
• ISSN:
  1545-1151
• Document Type:
  Journal Article
• Place as Subject:
  United States
• Location:
  North America
• Volume:
  4
• Issue:
  3
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:69b40c48a08530ab5a43bcbd17a59e96a30b0cb7ada48ffa6ccf444136412869f7132bf64a42412585e162f5ae3b1f45f3dfd3a1aefccff779c08d61e44aa13a
• Download URL:
  https://stacks.cdc.gov/view/cdc/4114/cdc_4114_DS1.pdf
• File Type:
  [PDF - 1.22 MB ]