Glycated hemoglobin, fasting insulin and the metabolic syndrome in males. Cross-sectional analyses of the aragon workers health study baseline
Resumen: Background and aims: Glycated hemoglobin (HbA1c) is currently used to diagnose diabetes mellitus, while insulin has been relegated to research. Both, however, may help understanding the metabolic syndrome and profiling patients. We examined the association of HbA1c and fasting insulin with clustering of metabolic syndrome criteria and insulin resistance as two essential characteristics of the metabolic syndrome. Methods: We used baseline data from 3200 non-diabetic male participants in the Aragon Workers' Health Study. We conducted analysis to estimate age-adjusted odds ratios (ORs) across tertiles of HbA1c and insulin. Fasting glucose and Homeostatic model assessment - Insulin Resistance were used as reference. Here we report the uppermost-to-lowest tertile ORs (95%CI). Results: Mean age (SD) was 48.5 (8.8) years and 23% of participants had metabolic syndrome. The ORs for metabolic syndrome criteria tended to be higher across HbA1c than across glucose, except for high blood pressure. Insulin was associated with the criteria more strongly than HbA1c and similarly to Homeostatic model assessment - Insulin Resistance (HOMA-IR). For metabolic syndrome, the OR of HbA1c was 2.68, of insulin, 11.36, of glucose, 7.03, and of HOMA-IR, 14.40. For the clustering of 2 or more non-glycemic criteria, the OR of HbA1c was 2.10, of insulin, 8.94, of glucose, 1.73, and of HOMA-IR, 7.83. All ORs were statistically significant. The areas under the receiver operating characteristics curves for metabolic syndrome were 0.670 (across HbA1c values) and 0.770 (across insulin values), and, for insulin resistance, 0.647 (HbA1c) and 0.995 (insulin). Among non-metabolic syndrome patients, a small insulin elevation identified risk factor clustering. Conclusions: HbA1c and specially insulin levels were associated with metabolic syndrome criteria, their clustering, and insulin resistance. Insulin could provide early information in subjects prone to develop metabolic syndrome.
Idioma: Inglés
DOI: 10.1371/journal.pone.0132244
Año: 2015
Publicado en: PloS one 10, 8 (2015), 0132244 [14 p.]
ISSN: 1932-6203

Factor impacto JCR: 3.057 (2015)
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 11 / 62 = 0.177 (2015) - Q1 - T1
Factor impacto SCIMAGO: 1.427 - Agricultural and Biological Sciences (miscellaneous) (Q1) - Medicine (miscellaneous) (Q1) - Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/ISCIII-FIS/CP08-00112
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/FIS/PI14-00009
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/PI12-01087
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/PI12-01703
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/RD12-0042-0055
Tipo y forma: Article (Published version)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
Área (Departamento): Área Bioquímica y Biolog.Mole. (Dpto. Bioq.Biolog.Mol. Celular)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Exportado de SIDERAL (2021-02-23-08:20:31)

Este artículo se encuentra en las siguientes colecciones:

 Record created 2015-11-05, last modified 2021-02-23

Versión publicada:
Rate this document:

Rate this document:
(Not yet reviewed)