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Explaining variations in reported diabetes prevalence in general practice: how much variation is explained by

Elizabeth Goyder1, Vicky Hammersley

  • 1ScHARR (School of Health and Related Research), University of Sheffield, Regent Court, 30 Regent St, Sheffield S1 4DA. e.goyder@sheffield.ac.uk

The British Journal of General Practice : the Journal of the Royal College of General Practitioners
|November 7, 2003
PubMed
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Diabetes prevalence varies significantly across United Kingdom (UK) populations. Population obesity and South Asian ethnicity were found to be key predictors of this variation, explaining 80% of differences between practices.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Services Research

Background:

  • Reported diabetes prevalence shows significant variation across different United Kingdom (UK) populations.
  • Understanding the drivers of this variation is crucial for accurate public health planning and resource allocation.

Purpose of the Study:

  • To investigate whether specific population characteristics explain the observed variations in diabetes prevalence among UK general practices.
  • To determine if factors like obesity, ethnicity, and socioeconomic status predict diabetes prevalence.

Main Methods:

  • Linear regression analysis was employed to examine the relationship between population characteristics and diabetes prevalence.
  • Data from 19 UK general practices with relatively complete diagnostic recording were analyzed.

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Main Results:

  • Population obesity and South Asian ethnicity were identified as major factors explaining the variation in diabetes prevalence (adjusted R2 = 0.80).
  • After accounting for obesity and ethnicity, the deprivation score was no longer a significant predictor of diabetes prevalence.

Conclusions:

  • Population characteristics, specifically obesity and ethnicity, are strong predictors of diabetes prevalence variation between general practices in the UK.
  • These findings suggest that obesity and ethnicity data can be used to predict expected diabetes prevalence and to assess the completeness of practice patient registers.