Effect of Treatments on Predictors of Diabetes in Obese Patients in a Public Hospital in Guayaquil-Ecuador

Abstract

ObjectivesTo determine the effect of treatments on predictors of diabetes and the magnitude of its relationship in obese patients. MethodsA longitudinal study was carried out to measure the effectiveness of the treatments on the predictors diabetes and a cross-sectional study to determine the magnitude of its relationship in patients obese, with two groups (group 1 = hypocaloric diet, group 2 = hypocaloric diet plus metformin 750 mg) between June and November of the year 2020. The sampling was non-probabilistic, for 162 patients. The nutritional status was calculated using(BMI). The waist circumference above 90 cm in men and greater than 80 cm in women. Patients were placed on hypocaloric diet (130 g of carbohydrates/day), triglycerides, cholesterol and glycemia, were performed with colorimetric reagent kits of Trinder, and Homa-Ir A multiple step regression was performed to determine the magnitude of the relationship of the predictors and the Wilcoxon and t-Student tests were applied to determine the effect of treatments in obese patients, for which the IBM-SPSS Statistics vs 26 programs was used. ResultsStepwise multiple regression analysis was performed. The two variables: weight loss percentage (B = –7245; P = 0022) y HOMA (B = 3109; P = 0.033). The Prediction equation found was waist circumference = 109,046 - 7245 weight loss + 3109 HOMA, with an R squared of 0.157. With an ANOVA (P = 0.001) obtaining an adequate model, with the t-Student test, for paired samples, the effectiveness was evaluated, comparing the real value of waist circumference with the value obtained by applying the regression equation multiple. The mean of the waist circumference was 111, 16 ± 14, 22 and the mean of waist circumference obtained in the prediction was 111,15 ± 5,63. The student’s t-test and Wilcoxon was performed to measure the effect of the treatments in both groups, to the BMI variable was found to be a significant difference (P < 0.001) in group 1 (x̄ inicial = 40.79, x̄ final = 39,95) which shows that both treatments affect BMI. However, the changes in BMI of both groups were different (delta 1 = 0.8 and delta 2 = 2.6). ConclusionsThe model allowed predicting diabetes, based on waist circumference, weight loss and Homa. The Group 2, reduced triglycerides levels, weight and BMI, which evaluated its efficacy. Funding SourcesNot applicable.