LIPID PROFILE IN TYPE 1 DIABETIC PATIENTS ATTENDING DIABETIC CENTER IN SULAIMANIA CITY
Haitham Issa Al-Banna*, Zhian Salah Ramzi** and Hero Mohamad Jalal ***
* Hawler Medical University/ Hawler College of Medicine-Community Medicine Department.
** Department of Community Medicine, College of Medicine, University of Sulaimani.
*** Sulaimania Directorate of Health.
Submitted: 2/2/2016; Accepted: 1/6/2016; Published: 1/12/2016
DOI Link: https://doi.org/10.17656/jsmc.10092
Diabetes mellitus is a of metabolic disorder of carbohydrate metabolism in which glucose is under-utilized producing hyperglycemia and changes in lipid profile.
To find out prevalence of dyslipidemia among type1 diabetic and relation of dyslipidemia with control of diabetes mellitus and its duration.
Patients and Methods
The study was done in a diabetic center from July to November 2013, in which 159 Type 1diabetic patients participate, during the interviews a questionnaire was filled including demographic characteristics in addition to laboratory investigation including fasting plasma glucose, glycosylated hemoglobin and lipid profile. SPSS was used to measure means; Chi-square and logistic regression were used when indicated to be significant at p-value ≤ 0.05.
One hundred fifty nine patients were involved in this study. Eighty three female, their age between 13-35 years, Glycosylated hemoglobin was <7% in 13(8.2%) of them and ≥7% in 146 (91.8%). Dyslipidemia present in 89.9% of our patients. Significant relationship between glycosylated hemoglobin with only low density lipoprotein (p= 0.03) and total cholesterol (p= 0.04). Also significant relation found in high triglyceride in male (p= 0.01) with low high density lipoprotein in female (p=0.03) and between duration of DM and only low density lipoprotein (p= 0.01). Significant association was found between all lipid profile except total cholesterol and high body mass index.
High percentage of dyslipidemia found in current study associated with poor control of diabetes mellitus and high body mass index. Obesity, gender, duration of diabetes. Diastolic blood pressure and occupation can be used to predict some parameters of lipid profile.
Diabetes Mellitus, Dyslipidemia, Glycosylated hemoglobin, Body mass index.
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