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PMID: 8328622 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Forecasting the number of diabetic patients in The Netherlands in 2005.

American journal of public health ·Vol. 83 ·No. 7 ·1993-07-00 ·Pages 989-95

Ruwaard D, Hoogenveen RT, Verkleij H, Kromhout D, Casparie AF, van der Veen EA

Abstract

There is evidence from past decades that the number of diabetic patients has increased independently of changes in demography. A static model that takes into account only demographic changes is therefore unable to forecast the expected number of diabetic patients correctly. We developed a dynamic model in which actual incidence, prevalence, and life expectancy data are used and alternative assumptions about future trends in these parameters can be incorporated. This dynamic model forecasts higher numbers of diabetic patients than the less sophisticated static model. According to the dynamic model, a 46% increase in the number of diabetic patients in The Netherlands can be expected, from 244,000 in 1990 to 355,000 in 2005 (about 2.5% annually). The static model forecasts a 22% increase. Diabetes mellitus will become a more serious public health problem than can be expected from demographic changes only. In planning future health care, monitoring of trends in incidence, prevalence, remission, and mortality or life expectancy is a necessary prerequisite.

MeSH Terms
Diabetes Mellitus/epidemiology Female Forecasting Humans Incidence Life Expectancy Male Models, Statistical Netherlands/epidemiology Prevalence Reproducibility of Results Sensitivity and Specificity
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Ruwaard D
National Institute of Public Health and Environmental Protection, Bilthoven, The Netherlands.
Hoogenveen R T
Verkleij H
Kromhout D
Casparie A F
van der Veen E A
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12 references, click to expand
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Article Info
Journal
American journal of public health
Abbr.
Am J Public Health
ISSN
0090-0036
Published
1993-07-00
Pages
989-95
Language
English
Region
United States
NLM ID
1254074
PMCID
PMC1694793
Subset
IM
Corrections
CommentIn
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