Determination of Fasting Blood Sugar and Cholesterol Levels in Gotvand City

Abstract

Background and Aims: Due to the high prevalence of carbohydrate and lipid metabolism disorders worldwide and in Iran and as recommended by the international diabetes federation, about more investment in diabetes research in Iran, it is decided to perform of this study in the urban and rural area of Gotvad city in the Khuzestan Province of Iran.

Materials and Methods: In this cross-sectional study, among 31822 eligible people, 4138 people aged 29 years or more participated between November 2017 and March 2018. Samples were obtained from patients, and after centrifugation and separation of serum, fasting blood sugar (FBS) and total cholesterol were measured employing the Glucose and Cholesterol Assay Kit of Pars Azmun Company. Since FBS and cholesterol statuses are ordinal, an ordinal logistic regression proportional odds model was used to identify the risk factors of responses if the proportional odds assumption satisfies. Univariate analysis was performed with independent t-test and ANOVA with a Tukey post-hoc.

Results: Two models were determined, and except the area in predicting cholesterol status; all other covariates, including age, FBS value, cholesterol value, sex, and area in predicting FBS, were the significant predictors of cholesterol and FBS levels.

Conclusions: Although there where a high prevalence of FBS and cholesterol level disturbances, from 24.9% and 25.9% of the population with disturbances in serum cholesterol and glucose levels, respectively, nearly 80% and 25.9% of them are in the borderline high group and impaired fasting glucose states, respectively which can return them to a healthy state with appropriate and prompt interventions.