Carlos Borges Álamo

Publications (2)4.13 Total impact

• Article: Association between glycemic index, glycemic load, and fructose with insulin resistance: the CDC of the Canary Islands study.

  Santiago Domínguez Coello, Antonio Cabrera de León, María C Rodríguez Pérez, Carlos Borges Álamo, Lourdes Carrillo Fernández, Delia Almeida González, Jezabel García Yanes, Ana González Hernández, Buenaventura Brito Díaz, Armando Aguirre-Jaime
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  ABSTRACT: The involvement of carbohydrates in triggering insulin resistance (IR) remains a source of controversy. To study the relation between glycemic index (GI), glycemic load (GL), and fructose with insulin resistance in a predominantly rural population in the Canary Islands. Cross-sectional study carried out in 668 nondiabetic people aged 18-75. IR was estimated with serum glucose and C-peptide (HOMA2-IR). Nutrient intakes were obtained from a validated food frequency questionnaire. ANOVA was used to analyze nutrient distribution across quartiles of HOMA2-IR. Four multivariate nutrient density models (dependent variable: log-transformed HOMA2-IR) which differed only in the kinds of carbohydrates included were tested (Model 1: carbohydrates; Model 2: GI and then GL; Model 3: free fructose, other simple sugars and starch; Model 4: total fructose, remaining sugars and starch). There was no association between GI and IR. There was a direct association between GL (P < 0.001), fructose (free [P = 0.001], total [P = 0.013]), energy intake (P < 0.001), fruit fiber (<0.001), and glucose (P = 0.003) with IR. There was an inverse association between cereal (P = 0.008) and vegetable fiber (P < 0.001) and IR. Multivariate models corroborated the association of carbohydrates, GL, fructose, vegetable fiber, and energy intake with IR. The association between GL and IR disappeared when Model 2 was adjusted by total fructose intake. There was a direct association between fructose intake and IR. There was no relationship between GI and IR. Although a direct association of GL with IR was detected, it was attributable to the consumption of fructose.
  European Journal of Nutrition 04/2010; 49(8):505-12. · 2.75 Impact Factor
• Article: [The waist to height ratio as an index of cardiovascular risk and diabetes].

  María Del Cristo Rodríguez Pérez, Antonio Cabrera De León, Armando Aguirre-Jaime, Santiago Domínguez Coello, Buenaventura Brito Díaz, Delia Almeida González, Carlos Borges Alamo, José Carlos Del Castillo Rodríguez, Lourdes Carrillo Fernández, Ana González Hernández, José Juan Alemán Sánchez
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  ABSTRACT: To identify the anthropometric index that best detects cardiovascular risk (CVR) and type 2 diabetes (DM2) in the adult Spanish population and to determine its cut-off point. Cross-sectional study in the general population (n=6279). Sensitivity and specificity were estimated for the anthropometric indexes: abdominal waist, body mass index, waist to hip ratio and waist to height ratio (WtHR). The areas of these indexes under ROC curve (AUC) were obtained for the following CVR factors: high coronary risk computed with Framingham model, Hypertension, Hyperlipemia, DM2, Metabolic Syndrome (MS) and Impaired Fasting Glucose (IFG). The odds ratio, with 95% confidence interval (CI(95%)), was calculated. WtHR was the index showing the highest AUC for DM2 and the remaining CVR factors, varying between 0.65 (CI(95%)=0.63-0.68) for IFG in men and 0.87 (CI(95%)=0.86-0.89) for MS in women. RA/E reached the maximum sensitivity (0.91) and specificity (0.70) in SM and its optimal cut-off point was 0.55, which displayed the highest risks amongst indexes, varying from 2.30 (1.96-2.70) in IFG to 16'20 (13.68-19.20) in MS. RA/E is the index presenting the best ability to detect DM2 and CVR in this population, and it shows the stronger association with them. Its cut-off point, 0.55, confirms the convenience of keeping the abdominal waist to less than half the height.
  Medicina Clínica 02/2010; 134(9):386-91. · 1.38 Impact Factor