Cuantificación de insulinorresistencia con los valores de insulina basal e índice HOMA en una población no diabética

Ascaso, Juan F.; Romero, Pedro; Real, José T.; Priego, Antonia; Valdecabres, Carmen; Carmena, Rafael

doi:10.1016/s0025-7753(01)72168-9

Cited by 197 publications

(64 citation statements)

References 21 publications

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“…Insulin resistance is defined as HOMA index values ≥3.2. 17,26 In healthy, non-obese, and non-diabetic people, mild to moderate aerobic exercise increases insulin sensitivity, leading to the conclusion that a moderate physical exercise program is beneficial for improving insulin sensitivity and preventing the consequences of insulin resistance: MS and type 2 diabetes. 27 Many studies have shown that moderate physical exercise decreases the risk of MS. 28,29 Increases in physical activity levels in leisure time, in terms of duration or intensity, are linearly associated with a reduction in MS risk.…”

Section: Discussionmentioning

confidence: 99%

“…The definition of IR with HOMA was ≥3.2. 17 The presence of MS was defined based on the recommendations of the American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. A diagnosis of MS was therefore based on the presence of three or more of the following characteristics: abdominal waist circumference ≥94 cm in males and ≥80 cm in females, fasting plasma TG levels ≥150 mg/dL or current treatment for hypertriglyceridemia, HDL cholesterol ≤40 mg/dL in male or ≤50 mg/dL in females or current treatment for low HDL-C levels, high blood pressure (SBP ≥ 130 mmHg or DCBP ≥ 85 mmHg) or current antihypertensive treatment, fasting blood glucose ≥ 100 mg/dL or current glucose lowering treatment.…”

Section: Methodsmentioning

confidence: 99%

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Metabolic effects of regular physical exercise in healthy population

Caro

Navarro

Romero

et al. 2013

Endocrinología y Nutrición (English Edition)

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Metabolic effects of regular physical exercise in healthy population

Caro

Navarro

Romero

et al. 2013

Endocrinología y Nutrición (English Edition)

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“…Insulin resistance was evaluated using the homeostatic model assessment for insulin resistance index [24]. Insulin resistance was considered when the homeostatic model assessment for insulin resistance index was ≥3.2, based on the previously published 75th percentile of a general nondiabetic Spanish population [25]. …”

Section: Methodsmentioning

confidence: 99%

Cognitive Patterns in Relation to Biomarkers of Cerebrovascular Disease and Vascular Risk Factors

Miralbell

López‐Cancio²,

López-Olóriz³

et al. 2013

Cerebrovasc Dis

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Background: Risk factors for vascular cognitive impairment (VCI) are the same as traditional risk factors for cerebrovascular disease (CVD). Early identification of subjects at higher risk of VCI is important for the development of effective preventive strategies. In addition to traditional vascular risk factors (VRF), circulating biomarkers have emerged as potential tools for early diagnoses, as they could provide in vivo measures of the underlying pathophysiology. While VRF have been consistently linked to a VCI profile (i.e., deficits in executive functions and processing speed), the cognitive correlates of CVD biomarkers remain unclear. In this population-based study, the aim was to study and compare cognitive patterns in relation to VRF and circulating biomarkers of CVD. Methods: TheBarcelona-AsIA Neuropsychology Study included 747 subjects older than 50, without a prior history of stroke or coronary disease and with a moderate to high vascular risk (mean age, 66 years; 34.1% women). Three cognitive domains were derived from factoral analysis: visuospatial skills/speed, verbal memory and verbal fluency. Multiple linear regression was used to assess relationships between cognitive performance (multiple domains) and a panel of circulating biomarkers, including indicators of inflammation, C-reactive protein (CRP) and resistin, endothelial dysfunction, asymmetric dimethylarginine (ADMA), thrombosis, plasminogen activator inhibitor 1 (PAI-1), as well as traditional VRF, metabolic syndrome and insulin resistance (homeostatic model assessment for insulin resistance index). Analyses were adjusted for age, gender, years of education and depressive symptoms. Results: Traditional VRF were related to lower performance in verbal fluency, insulin resistance accounted for lower performance in visuospatial skills/speed and the metabolic syndrome predicted lower performance in both cognitive domains. From the biomarkers of CVD, CRP was negatively related to verbal fluency performance and increasing ADMA levels were associated with lower performance in verbal memory. Resistin and PAI-1 did not relate to cognitive function performance. Conclusion: Vascular risk factors, and markers of inflammation and endothelial dysfunction predicted lower performance in several cognitive domains. Specifically, cognitive functions associated with CRP are typically affected in VCI and overlap those related to VRF. ADMA indicated a dissociation in the cognitive profile involving verbal memory. These findings suggest that inflammation and endothelial dysfunction might play a role in the predementia cognitive impairment stages.

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“…3,7 mmol (mU)/l 2 , correspondiente al valor medio de HOMA má s 3 desviaciones está ndar de dicha muestra. Dicho punto de corte coincide con publicaciones previas sobre població n españ ola 23 .…”

Section: Mé Todosunclassified

Relación entre las fases precoces de la enfermedad renal y el síndrome metabólico

Landecho

Colina

Huerta

et al. 2011

Revista Española de Cardiología

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Historia del artı´culo:Recibido el 31 de mayo de 2010 Aceptado el 26 de noviembre de 2010 On-line el 9 de abril de 2011Palabras clave: Enfermedad renal precoz Resistencia a la insulina Síndrome metabó lico Arteriosclerosis subclínica R E S U M E N Introduccio´n y objetivos: La enfermedad renal avanzada es un importante problema sanitario por su alta morbimortalidad cardiovascular. La detecció n y el tratamiento precoces podrían ayudar a evitar su progresió n. El síndrome metabó lico y la insulinorresistencia se han implicado en la patogenia del dañ o renal avanzado. Nuestros objetivos son estudiar la relació n entre la enfermedad renal precoz (ERP), el síndrome metabó lico y la insulinorresistencia y valorar su asociació n con marcadores de arteriosclerosis subclínica. Me´todos: El estudio incluyó a 1.498 pacientes. La insulinorresistencia se definió como HOMA ! 3,7 mmol (mU)/l 2 y la ERP, como los estadios 1 y 2 de la NKF-KDOQI. Se utilizó el grosor íntima-media carotídeo como marcador de arteriosclerosis subclínica. Resultados: La presencia de un componente de síndrome metabó lico se asoció con una odds ratio (OR) de ERP de 2,3 (intervalo de confianza [IC] del 95%, 1,18-4,48), que aumentó hasta 6,72 (IC del 95%, 3,56-13,69) en sujetos con el síndrome. Todos los componentes salvo el bajo valor de lipoproteínas de alta densidad se asociaron con OR elevada de ERP. El incremento del HOMA tambié n se asoció en relació n directa con la probabilidad de ERP, que llegó a OR = 3,89 (IC del 95%,1,99-7,59) para los sujetos del cuarto cuartil. Los sujetos con síndrome metabó lico y ERP mostraron un grosor íntima-media carotídeo aumentado frente a aquellos sin enfermedad renal. Conclusiones: La insulinorresistencia, el síndrome metabó lico y sus componentes, salvo bajo valor de lipoproteínas de alta densidad, se asociaron significativamente con OR aumentada de ERP. El síndrome metabó lico y la ERP se asociaron de forma independiente y aditiva con arteriosclerosis subclínica. ß 2010 Sociedad Españ ola de Cardiología. Publicado por Elsevier Españ a, S.L. Todos los derechos reservados.

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Cuantificación de insulinorresistencia con los valores de insulina basal e índice HOMA en una población no diabética

Cited by 197 publications

References 21 publications

Metabolic effects of regular physical exercise in healthy population

Metabolic effects of regular physical exercise in healthy population

Cognitive Patterns in Relation to Biomarkers of Cerebrovascular Disease and Vascular Risk Factors

Relación entre las fases precoces de la enfermedad renal y el síndrome metabólico

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