Volume 16, Issue 2 (9-2018)
sjsph 2018, 16(2): 196-205 |
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Kourosh Holakouie Naieni * 
1, Mohammad Ali Mansournia2 , Farzad Khodamoradi3 , Zahra Hosseinkhani3 , Mehdi Ranjbaran3 , Zohreh Foroozanfar3 , Yousef Alimohamadi4 , Solmaz Farrokhzad5
1, Mohammad Ali Mansournia2 , Farzad Khodamoradi3 , Zahra Hosseinkhani3 , Mehdi Ranjbaran3 , Zohreh Foroozanfar3 , Yousef Alimohamadi4 , Solmaz Farrokhzad5
1- Ph.D. Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2- Ph.D. Assistant Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3- Ph.D. Student, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Ph.D. Student, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran-
5- MD. Province Health Center, Qazvin University of Medical Sciences, Qazvin, Iran
2- Ph.D. Assistant Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3- Ph.D. Student, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Ph.D. Student, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran-
5- MD. Province Health Center, Qazvin University of Medical Sciences, Qazvin, Iran
Abstract: (3225 Views)
Background and Aim: Diabetes mellitus is one of the most prevalent and important health problems in the world.Considering the high prevalence of metabolic syndrome in diabetic patients and the potential effects of its components on HbA1C in these patients, the present study was conducted to determine the effect of metabolic syndrome components on HbA1C in type-2 diabetic patients.
Materials and Methods: This retrospective cohort study was conducted on 157 diabetic patients regularly referring to the Diabetes Control Center in Qazvin City during 2014, where complete data about theirmetabolic syndrome components, as well as HbA1C levels were available. The data were analyzed using multiple linear regression (α=0.05 for statistical significance).
Results: Based on the regression model, the effects of age, HDL-C and fasting blood glucose on HbA1C were statistically significant; the effects of other variables were nonsignificant. The R2value for the variables entered for prediction of HbA1C was found to be 0.45 (R2 = 45%).
Conclusion: Considering the significant relationship between some components of the metabolic syndrome such as HDL-C and fasting blood glucose on HbA1C in diabetic patients, it is essential to design and implement programs to reduce the level of HbA1C in these patients.
Materials and Methods: This retrospective cohort study was conducted on 157 diabetic patients regularly referring to the Diabetes Control Center in Qazvin City during 2014, where complete data about theirmetabolic syndrome components, as well as HbA1C levels were available. The data were analyzed using multiple linear regression (α=0.05 for statistical significance).
Results: Based on the regression model, the effects of age, HDL-C and fasting blood glucose on HbA1C were statistically significant; the effects of other variables were nonsignificant. The R2value for the variables entered for prediction of HbA1C was found to be 0.45 (R2 = 45%).
Conclusion: Considering the significant relationship between some components of the metabolic syndrome such as HDL-C and fasting blood glucose on HbA1C in diabetic patients, it is essential to design and implement programs to reduce the level of HbA1C in these patients.
Type of Study: Research |
Subject:
Public Health
Received: 2018/09/18 | Accepted: 2018/09/18 | Published: 2018/09/18
Received: 2018/09/18 | Accepted: 2018/09/18 | Published: 2018/09/18
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