Global diabetes burden: analysis of regional differences to improve diabetes care.

Journal: BMJ open diabetes research & care
PMID: 36307139

Abstract

INTRODUCTION: The current evaluation processes of the burden of diabetes are incomplete and subject to bias. This study aimed to identify regional differences in the diabetes burden on a universal level from the perspective of people with diabetes.

Authors

  • Charline Bour
    Department of Precision Health, Deep Digital Phenotyping Research Unit, Luxembourg Institute of Health, Strassen, Luxembourg.
  • Adrian Ahne
    Center for Research in Epidemiology and Population Health (CESP), INSERM, Villejuif (Paris), Île-de-France, France.
  • Gloria Aguayo
    Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg.
  • Aurélie Fischer
    Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg.
  • David Marcic
    Department of Precision Health, Data Integration and Analysis Unit, Luxembourg Institute of Health, Strassen, Luxembourg.
  • Philippe Kayser
    Department of Precision Health, Data Integration and Analysis Unit, Luxembourg Institute of Health, Strassen, Luxembourg.
  • Guy Fagherazzi
    Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg. guy.fagherazzi@lih.lu.

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