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  • 标题:The rise of diabetes prevalence in the Arab region
  • 本地全文:下载
  • 作者:Abdesslam Boutayeb ; Mohamed E. N. Lamlili ; Wiam Boutayeb
  • 期刊名称:Open Journal of Epidemiology
  • 印刷版ISSN:2165-7459
  • 电子版ISSN:2165-7467
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:55-60
  • DOI:10.4236/ojepi.2012.22009
  • 出版社:Scientific Research Publishing
  • 摘要:Introduction: Arab populations have many similarities and dissimilarities. They share culture, language and religion but they are also subject to economic, political and social differences. The purpose of this study is to understand the causes of the rising trend of diabetes prevalence in order to suggest efficient actions susceptible to reduce the burden of diabetes in the Arab world. Method: We use principal component analysis to illustrate similarities and differences between Arab countries according to four variables: 1) the prevalence of diabetes, 2) impaired glucose tolerance (IGT), 3) diabetes related deaths and 4) diabetes related expenditure per person. A linear regression is also used to study the correlation between human development index and diabetes prevalence. Results: Arab countries are mainly classified into three groups according to the diabetes comparative prevalence (high, medium and low) but other differences are seen in terms of diabetes-related mortality and diabetes related expenditure per person. We also investigate the correlation between the human development index (HDI) and diabetes comparative prevalence (R = 0.81). Conclusion: The alarming rising trend of diabetes prevalence in the Arab region constitutes a real challenge for heath decision makers. In order to alleviate the burden of diabetes, preventive strategies are needed, based essentially on sensitization for a more healthy diet with regular exercise but health authorities are also asked to provide populations with heath- care and early diagnosis to avoid the high burden caused by complications of diabetes.
  • 关键词:Arab Region; Diabetes; Prevalence; Transition; Human Development; Regression; Principal Component Analysis
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