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Aten Primaria. 2006 Jun 30;38(2):72-9.

[Prevalence of metabolic syndrome in the adult population of Yecla (Murcia). Degree of agreement between three definitions of it].

[Article in Spanish]

Author information

1
Centro Salud Mariano Yago, Grupo de Estudio Diabetes en AP (Red-GEDAPS), Yecla, Murcia, España. jmartinezc@inicia.es

Abstract

OBJECTIVES:

To determine the prevalence of metabolic syndrome (MS), its components and insulin resistance (IR) in the adult population of Yecla. To study the variability between 3 definitions of the syndrome and IR. To identify the variables that predict the presence of IR and to verify the diagnostic validity of several strategies for predicting it.

DESIGN:

Descriptive, cross-sectional study.

SETTING:

Primary care, Yecla (Murcia), Spain.

PARTICIPANTS:

We studied 317 persons (292 with analysis) out of 424 selected by stratified (age and sex) random sampling from 18,059 people > or = 30 years old and possessing a health card.

MAIN MEASUREMENTS:

We used WHO-98, NCEP III, and EGIR criteria for diagnosing MS, and WHO-99 for defining DM2, impaired basal glucose and impaired glucose tolerance. The following variables were collected: social, demographic and personal details, plasma lipid, glycosylated haemoglobin, microalbuminuria, and insulin levels. IR was defined by the HOMA method at > or = 3.8 or as the highest quartile of basal insulinemia in normoglycaemic persons.

RESULTS:

MS prevalence was NCEP 20.2% (95% CI, 15.6-24.8), WHO 35.3% (95% CI, 29.8-40.8), EGIR 24% (95% CI, 19.1-28.9), and IR was 27.7% (95% CI, 22.6-32.8). The sensitivity and specificity of NCEP, WHO, and EGIR criteria for detecting IR were (46% and 90%), (78% and 81%), and (73% and 95%), respectively. Insulin resistance was associated significantly with age, basal glycaemia, triglycerides, and waist circumference.

CONCLUSIONS:

Metabolic syndrome is common in Yecla (more so in men). There is disagreement between several diagnostic criteria for the syndrome, with NCEP criteria less sensitive in determining IR. A generally accepted definition is needed.

PMID:
16828009
[Indexed for MEDLINE]
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