scholarly journals Effect of Regular Khat Chewing on Serum Fasting Sugar Level in Diabetic patients versus Healthy Individuals; A comparative study

2021 ◽  
Vol 14 ◽  
pp. 117863882110352
Author(s):  
Yordanos Mengistu ◽  
Gobena Dedefo ◽  
Mesay Arkew ◽  
Gebeyehu Asefa ◽  
Gutema Jebessa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Glucose Oxidase ◽  
Blood Sugar ◽  
Poor Glycemic Control ◽  
Fasting Blood Sugar ◽  
Healthy Individuals ◽  
Cross Sectional ◽  
Khat Chewer

Background: Khat chewing is a long standing social-cultural habit in several countries. Even though many people chew khat simply for its pleasurable and stimulatory effect, evidence showed widely-held belief among khat chewers in Ethiopia and other part of the world that khat helps to lower blood glucose while some studies are contradicted on the effect of khat. There is limited data about khat’s effect on blood glucose especially in our setting, Harar estern Ethiopia. Objective: Primarily the present study aims to compare fasting blood sugar level among khat chewer diabetic and healthy individuals, and to asses risk factors associated with poor glycemic control in diabetic subjects. Method: A cross-sectional study included 200 confirmed diabetic and healthy subjects. Fasting blood sugar was determined by enzymatic method glucose oxidase and glucose hexokinase. Glycemic control was also determined for diabetic subjects based on the last 2-month diabetic clinic visits and current measurement. Result: (Median ± IQR [interquartile range]) fasting blood sugar difference among Khat chewer and non khat chewer were 159 ± 83 mg/dl and 202 ± 79 mg/dl respectively in diabetic subjects when tested by glucose oxidase. Similarly, in healthy non khat chewer and khat chewer, khat chewers has lower (Median ± IQR) fasting blood glucose level 82 ± 18 mg/dl than non khat chewers 94 ± 13 mg/dl when tested by glucose oxidase. Regarding risk factors associated with poor glycemic control in diabetic subjects, positive parental diabetes history, insulin medication, being overweight, obese were significantly associated with poor glycemic control. Conclusion: There was significant effect of khat on median FBS among khat chewers in diabetic and healthy individuals. And the proportion of glycemic control was high among diabetic subjects. Recommendation: Health care professional and patients should manage the risk factors to delay disease progression and restrain the damage. More studies should be conducted in randomized control trial manner to further elucidate khat effect on blood sugar level so that the actual effect of khat can be identified unlike in cross sectional where there may not be strong causal relationship.

scholarly journals Assessment of Cardio-metabolic Risk Factors of Pre-diabetes/Diabetes among University Students: A Cross Sectional-study at Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

2018 ◽  
pp. 1-9
Author(s):  
Bright Oppong Afranie ◽  
Sampson Donkor ◽  
Simon Koffie ◽  
Selorm Philip Segbefia ◽  
Joseph Badu Gyapong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Glucose ◽  
Blood Sugar ◽  
Prevalence Rate ◽  
Metabolic Risk Factors ◽  
Fasting Blood Sugar ◽  
Metabolic Risk ◽  
Glucose Levels ◽  
Kwame Nkrumah ◽  
Sugar Levels

Introduction: Diabetes is one of the most common chronic diseases globally and its complications include retinopathy, nephropathy and neuropathy. Early detection of the risk factors and management of pre-diabetes can however reduce the risk of developing diabetes-related complications. Objective: This study was undertaken to assess cardio-metabolic risk factors for diabetes among undergraduate students at KNUST. Method: The study was carried out at the Kwame Nkrumah University of Science and Technology at Kumasi, from January 2017 to March 2017. Questionnaires were administered to 500 participants (45% males and 55% females) to obtain demographic and anthropometric data, information on physical activity, and knowledge on diabetes. About 5 ml of venous blood was taken from participants after an overnight fast to determine fasting plasma glucose (FPG) and lipid profile. Results: The mean age of participants were 21±2.40 years and 19.24±2.42 years for male and female respectively. Prevalence rate of pre-diabetes was 5% in this study. Mean values of systolic pressure (p<0.001) and blood glucose level (p=0.042) were significantly higher in men than the females. There was a significant association between the total cholesterol and the fasting blood sugar levels among participants (p=0.045). LDL-cholesterols concentrations were also significantly associated with blood sugar levels among participants (p<0.001). Risk factors such physical exercise (p<0.001) and family history (p<0.001) if diabetes were significantly associated with fasting blood glucose levels of participants. Obesity was no associated with serum glucose levels among participants in this study (p=0.533). HDL-cholesterol was inversely correlated with Fasting blood sugar even though it was no significant (r=-0.240, p=0.430). Conclusion: The prevalence rate of pre-diabetes was 5% in this study. Education about the disease as well as appropriate modification of lifestyle can help reduce the incidence of diabetes and its associated risk factors. 

scholarly journals Microalbuminuria in Patients with Diabetes Mellitus: Prevalence and Associated Risk factors Title of your

2017 ◽  
Vol 2 (2) ◽  
pp. 155-159
Author(s):  
Zhian S. Ramzi ◽  
Mahfoodh A. Sulaiman
Keyword(s):  
Risk Factors ◽  
Diabetic Nephropathy ◽  
Glycemic Control ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Renal Diseases ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
And Gender ◽  
Associated Risk Factors

Microalbuminuria is the most leading cause for cardiovascular disease, diabetic nephropathy, end stage renal diseases, and death among diabetic patients. The study carried out                                                                                       to find out the prevalence of microalbuminuria in a sample of Sulaimani diabetics and to determine its relation to different associated risk factors. The first part of study was a cross-sectional study conducted through examination of records of diabetic patients registered in Sulaimani Diabetic Center from June 2010 to May 2012. The second part was a case- control study that conducted in the same center, including 50 cases of diabetics with positive microalbuminuria, and 50 controls with negative one, that were registered in the same center and matched by age and gender. A specially designed questionnaire was used by researcher to collect information from the records. SPSS version 21.0 was used for data analysis. Males accounts for half of cases and controls, highest proportion of sample was found among age group (60-69) years about 34%. The prevalence of microalbuminuria was 29%. The study showed a statistical significant association of microalbuminuria with obesity, smoking, hypertension, retinopathy, ischemic heart disease, poor glycemic control, and dyslipidemia.  In conclusion moderate prevalence of microalbuminuria was found among diabetic patients, the prevalence was more common in poor glycemic control, and hypertensive diabetics. There was significant relation between microalbuminuria and diabetic nephropathy.

scholarly journals Identifying the Risk Factors and the Prevalence of Poor Glycemic Control among Diabetic Outpatients in a Rural Region in Saudi Arabia

2021 ◽  
pp. 15-23
Author(s):  
Ziyad S. Almalki ◽  
Nehad Jaser Ahmed ◽  
Abdullah K. Alahmari ◽  
Ahmed M. Alshehri ◽  
Sheikah Abdullah Alyahya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Saudi Arabia ◽  
Glycemic Control ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Rural Region ◽  
Increased Risk ◽  
Hba1c Levels

Aim: This cross-sectional study aimed to assess the prevalence of poor glycemic control and risk factors associated with it among diabetic patients in the central rural region of Saudi Arabia. Methods: The study included a review of diabetic patients’ medical record in King Khaled Hospital in Al-Kharj from the beginning of January 2019 to the end of June 2019. Poor glycemic control was defined as the current use of diabetic-lowering medication associated with HbA1c levels ≥7%. Multivariate analysis was done to identify the associated factors of poor glycemic control. Results: Of 1,010 consecutive outpatients’ diabetic patients were involved in the study sample, poor glycemic control presented in 496 (49.1%). Individuals who were at risk to have poor glycemic control those between 45 and 65 years with odds ratio (OR) of 1.927 (95% CI: 1.143–3.248), obese 1.496 (95% CI: 1.085–2.063) and diagnosed with asthma 2.062 (95% CI: 1.637–3.504). Conclusion: The extent of poor glycemic control in the study sample was found high. Age, obesity, and having asthma are the most important factors of increased risk of poor glycemic control. Improving glycemic control would need rigorous efforts by addressing these factors.

scholarly journals KORELASI KADAR GULA DARAH PUASA DAN KUALITAS TIDUR MAHASISWA USIA 20-25 TAHUN DI STIKES MAHARANI

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Sesi Mei Irawati
Keyword(s):  
Young Adults ◽  
Blood Glucose ◽  
Sleep Quality ◽  
Blood Sugar ◽  
Fasting Blood Sugar ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Glucose Meter ◽  
Sugar Levels

Individuals are required to meet basic human needs, one of which is sleep.Sleep disorders play an important role in the development of diabetes through the neuroendocrine metabolic pathway. People who suffer from sleep disorders, sleep quality or sleep quantity experience a decrease in insulin sensitivity and consequently an increase in blood glucose. This aims of this research was to identify the correlation between sleep quality and fasting blood sugar level in young adults. The design was correlational research with cross sectional approach. The sampling technique purposive sampling involving 38 respondents that was selected based on inclusion criteria. This research used question naire Pittsburgh Sleep Quality Index (PSQI) and blood glucose meter. The bivariate analysis use pearson test. The results of this study indicate that of the 38 respondents almost all respondents had poor sleep quality as many as 31 respondents (81.6%) and most of the respondents included in the prediabetes category were 20 respondents ( 52.6%). From the results of the Pearson correlation test obtained (r count ) of 0.700 with p-value 0.000, soit can be concluded that there is a relationship or correlation between the quality of sleep with fasting blood sugar levels in young adults. If the sleep quality score gets lower then blood sugar levels will be lower, and vice versa. Suggestion: to do counseling efforts to improve poor sleep quality to anticipate the risk of diabetes. Keywords: Sleep quality, fasting blood sugar level, diabetes mellitus, young adults Abstrak: Individu dituntut untuk memenuhi kebutuhan dasar manusia, salah satunya adalah tidur. Gangguan tidur memainkan peran penting dalam terjadinya perkembangan diabetes melalui jalur metabolisme neuro endokrin.  Orang yang menderita gangguan tidur, kualitas tidur atau kuantitas tidur mengalami penurunan sensitivitas insulin dan akibatnya terjadi peningkatan glukosa darah. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara kualitas tidur dengan kadar gula darah puasa pada usia dewasa muda. Desain penelitian menggunakan korelasional dengan pendekatan cross-sectional. Teknik pengambilan sampel purposive sampling dan melibatkan 38 responden yang dipilih berdasarkan kriteria inklusi. Instrumen yang digunakan adalah kuesioner Pittsburgh Sleep Quality Index (PSQI) dan blood glucose meter. Teknik statistik yang digunakan adalah uji Pearson. Hasil penelitian ini menunjukkan bahwa dari 38 responden hampir seluruh responden memiliki kualitas tidur buruk sebanyak 31 responden (81.6%) dan sebagian besar responden masuk dalam kategori prediabetes sebanyak 20 responden (52.6%). Dari hasil uji korelasi Pearson didapatkan (r hitung) sebesar 0.700 dengan p-value 0.000 sehingga dapat disimpulkan bahwa terdapat korelasi antara kualitas tidur dengan kadar gula darah puasa pada usia dewasa muda. Apabila skor kualitas tidur semakin rendah maka kadar gula darah akan semakin rendah, demikian pula sebaliknya. Saran: perlu dilakukan upaya penyuluhan tentangmemperbaiki kualitas tidur yang buruk untuk mengantisipasi resiko diabetes. Kata kunci: Kualitas Tidur, Kadar Gula Darah Puasa, Diabetes Melitus, Dewasa Muda

scholarly journals Prevalence of Complications of Diabetes and Risk Factors Among Patients with Diabetes in the Diabetes Clinic in Southeast of Iran

2021 ◽  
Author(s):  
Hamed Taheri ◽  
Roya Rafaiee ◽  
Raheleh Rafaiee
Keyword(s):  
Risk Factors ◽  
Glycemic Control ◽  
Microvascular Complications ◽  
Clinical Information ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
P Value ◽  
Diabetes Clinic ◽  
Cross Sectional ◽  
The Mean

Objective: Academic health services play an important role in the prevention and control of diabetes mellitus (DM) in Iran. This study aimed at determining the prevalence of DM-related complications and the associated risk factors among patients with DM in a university-affiliated outpatient diabetes clinic of a referral hospital in Southeast of Iran, Zahedan. Materials and Methods: This cross-sectional study was conducted from January to April 2019 in an academic diabetes clinic. A total of 334 patients with DM, whose characteristics (age, sex, family history of DM, and substance abuse), as well as laboratory and clinical information, were recorded in the baseline forms, were included. The relationship between variables were assessed by Pearson’s correlation coefficient at P-value< 0.05 and using SPSS version 20.0. Results: The mean age of the participants was 54.27 (±11.57) years. In these patients, DM type 2 was estimated at 99.1%, and the mean duration of the disease was 8.98 (±6.93) years. The findings showed that 77.2% of the patients had poor glycemic control. Also, 85.4% of the patients had fasting blood sugar (FBS) level >126 mg/dL. There was a significant relationship between insulin-dependent therapy and drug abuse (P-value <0.001). The prevalence of hyperlipidemia (68.9%), hypertension (50.6%), retinopathy (29.6%), nephropathy (11.7%), and neuropathy (12.3%) was also determined. Conclusion: The majority of the patients (77.2%) in this study had poor glycemic control, and 69.9% of them suffered from microvascular complications, macrovascular complications, or both. Therefore, frequent visits accompanied by patient education could help to better diabetes control

scholarly journals Anak perempuan dan obesitas sebagai faktor risiko kejadian kadar gula darah tinggi pada anak sekolah dasar

2018 ◽  
Vol 6 (2) ◽  
pp. 90-93
Author(s):  
Kartika Pibriyanti ◽  
Khairina Nur Hidayati
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Glucose ◽  
Blood Sugar ◽  
Sampling Technique ◽  
Cross Sectional ◽  
High Blood Glucose ◽  
Significance Level ◽  
Sugar Levels ◽  
Class Iv

Background : Prevalence of Diabetes Mellitus (DM) in Indonesia is 1.5%. Diabetes Mellitus is not only suffered by adults, but the age of adolescents and children as well. Risk factors in children include gender, obesity, mealtimes, race, age and genetics.Objective : The objective of the study was to analyze the risk factors of high blood glucose incidence in school children.Methods : This research was analytic survey with cross sectional approach. The population was all students of SD Negeri 1 Sokoboyo class IV to VI amounted to 82 students. The sample size was 82 students taken by purposive sampling technique. The independent variables include obesity and sex, as well as the dependent variable that is the blood sugar level. Test analysis used is chi-square test with significance level 5% (α = 0,05).Results : Most of the female sample (54.9%), 30.5% were obese and 43.9% had abnormal blood sugar levels. Girls have a 2,95 times greater risk of having high blood sugar levels than boys. Obese children have 10,25 times greater high blood glucose levels than normal children.Conclusion : Sex and obesity are associated with blood sugar levels in students class IV s / d VI SD Negeri 1 Sokoboyo Slogohimo District Wonogiri District.

scholarly journals Association between Triglyceride Glucose Index and Insulin Resistance among Thai Obese Adolescents

2020 ◽  
Author(s):  
Thidarat Somdee ◽  
Udomsak Mahaweerawat ◽  
Chatchada Mahaweerawat ◽  
Suneerat Yangyuen
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Sugar ◽  
Multiple Logistic Regression Analysis ◽  
Surrogate Marker ◽  
Fasting Blood Sugar ◽  
Model Assessment ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Tyg Index

Introduction: Global adolescence obesity is considered as the risk factor associated with the development of Insulin Resistance (IR). And, Triglyceride Glucose (TyG) index has been used as an alternative tool to estimate IR. Thailand has also encountered the same trend especially the adolescence obesity risk is increasing because of malconsumption behaviour. Aim: The aim of this study was to assess the association between the TyG index and IR among Thai adolescents. Materials and Methods: This cross-sectional study was carried out on 300 obese adolescents selected from the Obesity Outpatient Clinic of Mahasarakham Provincial Public Health Office during 2009 to 2013. Anthropometric and IR risk factors were measured. The TyG index was calculated as in {fasting Triglycerides (TG) (mg/dL)×fasting blood sugar (mg/dL)}/2, while IR was estimated by Homeostasis Model Assessment for Insulin Resistance (HOMA-IR). Data were analysed by using a multiple logistics regression at 0.05 level of significance running with STATA version 13.0 software. Results: All subjects were divided into tertile groups based on the TyG index to analyse statistically significant differences (p<0.05). ANOVA revealed that there were significant differences in IR risk factors (Basal Metabolic Index, Fasting Blood Sugar level, and Triglyceride level) among the groups. Both TyG index and HOMA-IR level were statistically highly significant among the tertiles (p<0.001). Multiple logistic regression analysis revealed that TyG index can be used as an association factor for IR, in a fully adjusted model after adjusting BMI and Tricep thickness (3.06; 95% CI 1.780, 5.170; p<0.001). Conclusion: The results of the TyG index were significantly associated with IR in thai obese adolescents hence, supporting the use of TyG index as a surrogate marker for IR.

scholarly journals Hemichorea Associated With Nonketotic Hyperglycemia: Rare Presentation of Uncontrolled Diabetes Mellitus

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A384-A385
Author(s):  
Rujuta Baban Katkar
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Basal Ganglia ◽  
Glycemic Control ◽  
Blood Sugar ◽  
Glucose Control ◽  
Blood Glucose Control ◽  
Poor Glycemic Control ◽  
Thyroid Function Tests ◽  
Function Tests

Abstract Introduction: Hemichorea is usually associated with a contralateral lesion in the central nervous system and can result from infection, genetic mutation, neoplasms, neurodegeneration, stroke, metabolic disease, drug-exposure, and autoimmune disease. Nonketotic hyperglycemic (NKH) hemichorea is mainly seen in elderly patients, especially females from East Asian origin with poor blood glucose control. The general treatment measures include improving control of blood glucose and the use of neuroleptic drugs. We report a unique case of hemichorea secondary to nonketotic hyperglycemia with negative imaging changes. Case Presentation: A 72-year-old woman with history of COPD, CKD stage III, CAD, diabetes type II for more than 30 years with poor glycemic control presented with sudden onset of uncontrolled involuntary dance like movements of left upper and lower extremities and left side of the face. These activities occurred while awake and disappeared during sleep. Neurological examination found that patient has a clear verbal ability, sanity, present involuntary dance-like movements of limbs, facial, jaw, and tongue. She had normal muscle strength and mild hypotonia. Other physical examination found no abnormalities. A CAT scan of the head showed high density in basal ganglia region and brain MRI(T1-weighted) showed and hyperintensity in the right basal ganglia. Laboratory tests showed that random blood sugar was 572 mg/dL, urine sugar (4+), and negative urine ketone, Hba1c was 14%. The patient’s subsequent thyroid function tests, autoantibodies, liver and kidney function tests, anti-neutrophilic cytoplasmic antibodies, ceruloplasmin, vitamins D and B12, and folic acid found to be normal. She was diagnosed with hemichorea associated with NKH. The treatments included improving blood glucose with IV insulin and symptomatic treatment of chorea with risperidone 2mg and clonazepam 1mg every night. On sixth day of admission patient’s involuntary movements improved. Blood sugar level normalized after a week. After 10 days, her dance-like symptoms disappeared completely. She tapered off risperidone and clonazepam within 3 months and continued to control blood sugar with premixed insulin after discharge. Conclusion: In conclusion, although uncommon, chorea/ballism associated with nonketotic hyperglycemia can be the first presenting sign of unknown diabetes mellitus or can occur after weeks or even months of poor glycemic control in diabetic patients. Timely neuro imaging examination and active blood glucose control can avoid misdiagnosis and delay in treatment.

scholarly journals Challenges and factors associated with poor glycemic control among type 2 diabetes mellitus patients at Nekemte referral hospital, western Ethiopia: cross-sectional study

2019 ◽  
Author(s):  
Ginenus Fekadu ◽  
Kejela Bula ◽  
Getu Bayisa
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Fasting Blood Glucose ◽  
Cross Sectional Study ◽  
Poor Glycemic Control ◽  
Cross Sectional ◽  
Factors Associated ◽  
The Mean

Abstract Background: Diabetes is increasing at an alarming rate throughout the world and about 80% of diabetics’ lives in developing countries. Similar to the rest of sub Saharan African countries, Ethiopia is experiencing significant burden of diabetes with increased prevalence, complications and mortality as well as life threatening disabilities. Reasons for poor glycemic control in type 2 diabetes are complex and multivariable. Hence, this study was aimed to identify challenges and factors associated with poor glycemic control among type 2 diabetes patients. Method: A hospital based cross sectional study was conducted on type 2 diabetic patients attending diabetic clinic of Nekemte Referral Hospital (NRH) from February 1 to April 30, 2018. Fasting blood glucose of last three clinic visits were obtained and the mean fasting blood glucose measurements was used to determine the level of glycemic control. Analysis included both descriptive and inferential statistics with SPSS version 20.0. Predictor variable with P< 0.05 was considered statistically significant. Result: Out of the total 228 included type 2 diabetes mellitus (DM) patients, 51.8% were males. The mean age of participants was 43±12.4 years and 154(67.5%) were found not following their general dietary program correctly. Nearly one third, 73(32%) of participants never attended diabetic education and 52(22.8%) of the patients had greater than 10 years’ duration on treatment. The majority, 148(64.9%) of patients had poor blood glucose control. Age range of 40-60 years (AOR=2.01, 95% CI 0.04-0.06, P=0.044), being illiterate (AOR = 3.12, 95 % CI 1.52-8.50, P=0.001), having informal education only (AOR=2.28, 95% CI 2.14-32.60, P=0.024), longer duration of diabetes treatment (>10 years) (AOR = 3.94, 95 % CI 1.51-27.83, P=0.012), inadequate physical exercise (AOR = 3.19, 95 % CI 1.05-19.84, P=0.019), smoking (AOR = 4.51, 95 % CI 0.00-0.50, p=0.022) were independent predictors of poor glycemic control up on a multivariable logistic regression analysis. Conclusion: Nearly two third of patients had poorly controlled diabetes. Age, exercise, level of education, duration of the treatment and smoking were significantly associated with poor glycemic control. Health facilities should provide continuous education as well as barriers of glycemic control should be explored with further research.

scholarly journals Relation Between Tiroid Status with Glycemic Control of Type 2 DM Patients at RSPAD Gatot Soebroto

2020 ◽  
Author(s):  
Kartika Yulianti ◽  
◽  
Aris Wibudi ◽  
Mila Citrawati ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Thyroid Dysfunction ◽  
Fasting Blood Glucose ◽  
Thyroid Stimulating Hormone ◽  
Poor Glycemic Control ◽  
Cross Sectional ◽  
Type 2 Dm

ABSTRACT Background: Diabetes Mellitus (DM) is a group of symptoms that arise due to increased blood sugar levels. Diabetes Mellitus type 2 has a higher risk of developing thyroid dysfunction. Thyroid dysfunction can affect various body metabolism and result in insulin resistance, significantly affecting glycemic control in DM patients. This study aimed to determine the relation between thyroid status as assessed by the level of thyroid-stimulating hormone (TSH), free thyroxine (FT4), and glycemic control (HbA1c). Subjects and Method: A cross-sectional study. A sample of 38 DM patients was selected by purposive sampling. The dependent variable was glycemic control. The independent variables were TSH and FT4. Patients were classified into 4 quartiles (Q) based on their TSH and FT4 levels. Statistic test used was non parametric for category group of variables, which was Chi square test. Results: Mean of fasting blood glucose was 200,56 mg/dL (modus 137 mg/dL), mean of 2 hours post prandial blood glucose was 247 mg/dL (modus 305 mg/dL). Subjetcs with poor glycemic control dominated as much as 76%. Most subjects had TSH level at Q4 (36%), while most of the subjects had FT4 level at Q1 (34%). The results showed that 38 samples with poor glycemic control were 72% in the 4th quartile (Q4) (> 3.1750 mU / L) TSH, and 64.7% were in Q1 (≤ 11.8400) FT4. The analysis showed that there was a significant relation between TSH (p = 0.047) and FT4 (p = 0.041) with glycemic control in type 2 DM patients. Conclusion: FT4 and TSH levels relate to glycemic control in type 2 DM patients Keywords: TSH, FT4, HbA1c, Diabetes Mellitus Correspondence: Mila Citrawati. Department of Faal, Faculty of Medicine, UPN Veteran, Jakarta. Jl. RS Fatmawati, Pondok Labu, South Jakarta 12450, Telp. (021) 7656971. E-mail: [email protected]. Mobile: 081282990515 DOI: https://doi.org/10.26911/the7thicph.05.12

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