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Determination of Fasting Blood Sugar and Cholesterol Levels in Gotvand City
Authors: Hoshang Roshanmehr1* M.Sc., Morad Rostami2 M.Sc., Maryam Seyedtabib3 Ph.D., Naser Kamyari4 Ph.D.
Number of views: 210
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 posthoc.
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.