Advanced

The metabolic syndrome and incidence of cardiovascular disease in non-diabetic subjects-a population-based study comparing three different definitions.

Nilsson, P M; Engström, Gunnar LU and Hedblad, Bo LU (2007) In Diabetic Medicine 24(Mar 22). p.464-472
Abstract
Aims Between 1998 and 2005, a number of definitions of the metabolic syndrome (MetS) have been proposed. The aim of this population-based cohort study was to compare prevalence rates and the prediction of cardiovascular disease (CVD) using different definitions of MetS. Methods A total of 5047 non-diabetic subjects (66% women), from the city of Malmo, Sweden, were followed. The incidence of fatal and non-fatal CVD (cardiac events, n = 176, and stroke, n = 171) was monitored over 11 years of follow-up. MetS was defined in three different ways [by International Diabetes Federation (IDF), National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII), or European Group for the study of Insulin Resistance (EGIR) criteria] based... (More)
Aims Between 1998 and 2005, a number of definitions of the metabolic syndrome (MetS) have been proposed. The aim of this population-based cohort study was to compare prevalence rates and the prediction of cardiovascular disease (CVD) using different definitions of MetS. Methods A total of 5047 non-diabetic subjects (66% women), from the city of Malmo, Sweden, were followed. The incidence of fatal and non-fatal CVD (cardiac events, n = 176, and stroke, n = 171) was monitored over 11 years of follow-up. MetS was defined in three different ways [by International Diabetes Federation (IDF), National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII), or European Group for the study of Insulin Resistance (EGIR) criteria] based on data on waist circumference, blood pressure, serum triglycerides, High-density lipoprotein cholesterol and fasting blood glucose. The IDF definition identified 21.9% of the subjects having the MetS. Corresponding figures for the NCEP-ATPIII and EGIR definitions were 20.7 and 18.8%, respectively. Results After taking age, gender, low-density lipoprotein cholesterol and lifestyle factors into account, the hazard ratio (HR) for CVD event according to the IDF, NCEP-ATPIII and EGIR definitions were HR 1.11 (95% CI: 0.86-1.44), 1.59 (1.25-2.03) and 1.35 (1.05-1.74), respectively. The results were largely similar for cardiac and stroke events. Conclusions The prevalence of Mets according to the IDF definition was higher in comparison with NCEP-ATPIII and EGIR definitions, but the IDF definition was not superior to these definitions for prediction of CVD events. This was true for both genders and questions the usefulness of the current IDF criteria of MetS in a North-European, Caucasian population. In addition, single risk factors such as smoking had an equal prediction as the metabolic syndrome. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
metabolic syndrome, hypertension, cardiovascular, diabetes, lipids
in
Diabetic Medicine
volume
24
issue
Mar 22
pages
464 - 472
publisher
Wiley-Blackwell
external identifiers
  • wos:000246029400002
  • scopus:34247638064
ISSN
1464-5491
DOI
10.1111/j.1464-5491.2007.02142.x
language
English
LU publication?
yes
id
cf4051d0-1f48-4b05-9d00-2a7757d6f396 (old id 166256)
alternative location
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17381496&dopt=Abstract
date added to LUP
2007-07-26 15:44:12
date last changed
2017-11-05 04:32:58
@article{cf4051d0-1f48-4b05-9d00-2a7757d6f396,
  abstract     = {Aims Between 1998 and 2005, a number of definitions of the metabolic syndrome (MetS) have been proposed. The aim of this population-based cohort study was to compare prevalence rates and the prediction of cardiovascular disease (CVD) using different definitions of MetS. Methods A total of 5047 non-diabetic subjects (66% women), from the city of Malmo, Sweden, were followed. The incidence of fatal and non-fatal CVD (cardiac events, n = 176, and stroke, n = 171) was monitored over 11 years of follow-up. MetS was defined in three different ways [by International Diabetes Federation (IDF), National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII), or European Group for the study of Insulin Resistance (EGIR) criteria] based on data on waist circumference, blood pressure, serum triglycerides, High-density lipoprotein cholesterol and fasting blood glucose. The IDF definition identified 21.9% of the subjects having the MetS. Corresponding figures for the NCEP-ATPIII and EGIR definitions were 20.7 and 18.8%, respectively. Results After taking age, gender, low-density lipoprotein cholesterol and lifestyle factors into account, the hazard ratio (HR) for CVD event according to the IDF, NCEP-ATPIII and EGIR definitions were HR 1.11 (95% CI: 0.86-1.44), 1.59 (1.25-2.03) and 1.35 (1.05-1.74), respectively. The results were largely similar for cardiac and stroke events. Conclusions The prevalence of Mets according to the IDF definition was higher in comparison with NCEP-ATPIII and EGIR definitions, but the IDF definition was not superior to these definitions for prediction of CVD events. This was true for both genders and questions the usefulness of the current IDF criteria of MetS in a North-European, Caucasian population. In addition, single risk factors such as smoking had an equal prediction as the metabolic syndrome.},
  author       = {Nilsson, P M and Engström, Gunnar and Hedblad, Bo},
  issn         = {1464-5491},
  keyword      = {metabolic syndrome,hypertension,cardiovascular,diabetes,lipids},
  language     = {eng},
  number       = {Mar 22},
  pages        = {464--472},
  publisher    = {Wiley-Blackwell},
  series       = {Diabetic Medicine},
  title        = {The metabolic syndrome and incidence of cardiovascular disease in non-diabetic subjects-a population-based study comparing three different definitions.},
  url          = {http://dx.doi.org/10.1111/j.1464-5491.2007.02142.x},
  volume       = {24},
  year         = {2007},
}