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


METHODS
Descriptive, cross-sectional study.


METHODS
Primary care, Yecla (Murcia), Spain.


METHODS
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.


METHODS
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.
Martínez Candela
Juan
J
Centro Salud Mariano Yago, Grupo de Estudio Diabetes en AP (Red-GEDAPS), Yecla, Murcia, España. jmartinezc@inicia.es
Franch Nadal
Josep
J
Romero Ortiz
Josefa
J
Cánovas Domínguez
Carmen
C
Gallardo Martín
Arístides
A
Páez Pérez
Miguel
M
D000328:Adult; D000367:Age Factors; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D003627:Data Interpretation, Statistical; D005260:Female; D005951:Glucose Tolerance Test; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology*; D008875:Middle Aged; D012372:ROC Curve; D012494:Sampling Studies; D012680:Sensitivity and Specificity; D012737:Sex Factors; D013030:Spain / Q000453:epidemiology; D014944:World Health Organization
D001786:Blood Glucose; D006442:Glycated Hemoglobin