scholarly journals Correlation between Body Mass Index and Lipid Profile in a Diabetic population of Central Nepal

2018 ◽  
Vol 14 (4) ◽  
pp. 184-188
Author(s):  
Prerna Bansal ◽  
Hari Prasad Upadhyay
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Lipid Profile ◽  
Total Cholesterol ◽  
Body Mass ◽  
Public Health Problem ◽  
Categorical Variables ◽  
P Value ◽  
Diabetic Patients

Background: Diabetes is an important public health problem as global prevalence of diabetes has nearly doubled reflecting an increase in risk factors like overweight or obesity and dyslipidemia. Both obesity and dyslipidemia share a common pathogenesis associated with “insulin resistance”. Thus the aim of this study is to find out correlation between BMI and lipid profile in type 2 diabetics. Materials and Methods: A cross-sectional study was conducted among 136 type 2 diabetes patients visiting the Diabetes Clinic of College of Medical Sciences, Bharatpur, Nepal during Jan-Dec 2017 and who went through lipid profile testing. The informations were taken from hospital records. To find the significant association between categorical variables chi-square test was used. P-value less than 0.05 were considered as statistically significant. To find the association between continuous variables correlation was used. Results: Out of 136 diabetic patients 77.2% of patients were either overweight or obese. 92.6% of patients had dyslipidemia. Among which 58.1% had high TG levels, 56.6% had high LDL levels, 34.6% had high TC levels and 44.9% had low HDL levels. The overall mean ± SD of age was 54.54±12.03 years and of BMI was 28.54±4.57. Positive correlation was seen between BMI with LDL levels and negative correlation with HDL levels. The correlation with other lipid profile parameters were negative. These correlations were found to be statistically not significant. But statistically significant association was seen between gender with weight, total cholesterol and HDL levels. Conclusions: Obesity and dyslipidemia were highly prevalent. As BMI increases LDL levels increases and HDL levels decreases. Also increased weight and abnormal lipid levels of total cholesterol and HDL were found significantly higher among females than males. Keywords: body mass index; lipid profile; type 2 diabetes; HDL; LDL.

scholarly journals Body Mass Index: A Risk Factor for Retinopathy in Type 2 Diabetic Patients

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Snježana Kaštelan ◽  
Martina Tomić ◽  
Antonela Gverović Antunica ◽  
Spomenka Ljubić ◽  
Jasminka Salopek Rabatić ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Developed Countries ◽  
Diabetes Duration ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Significant Deterioration ◽  
Group 2

The aim of the study was to investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy;n=296), group 2 (mild/moderate nonproliferative DR;n=118), and group 3 (severe/very severe NPDR or proliferative DR;n=131). Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50;P<0.01). We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries.

scholarly journals The Role of Sleeve Gastrectomy on Preventing Type 2 Diabetes Mellitus

2017 ◽  
Vol 5 (3) ◽  
pp. 316-318 ◽  
Author(s):  
Serdar Olt ◽  
Sabri ÖzdaÅŸ ◽  
Mehmet Åžirik
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Bariatric Surgery ◽  
Body Mass Index ◽  
Type 2 Diabetes Mellitus ◽  
Body Mass ◽  
P Value ◽  
Obese Patients ◽  
The Mean

AIM: To investigate the effect of bariatric surgery on HbA1c and serum cortisol levels in morbidly obese patients without type 2 diabetes mellitus.MATERIALS AND METHODS: Twenty-nine patients who underwent sleeve gastrectomy and whose body mass index was> 40 were included in the present study. Patients' files were reviewed retrospectively. Those with diabetes mellitus and those with age <18 were excluded from the study. Pre-operative and 1-year post operative data were documented. The obtained data were analysed by SPSS statistical program.RESULTS: The mean age of the patients was 27.4 ± 8.4. 5 of the patients were male, and 24 were female. The mean body mass index of the patients was 44 ± 2.3. 1 patient [3.4%] had hypertension. Four patients [13.7%] had gastroesophageal reflux disease. The number of smokers was 7 [24.1%], and the number of alcohol users was 3 [10.3%]. There was a statistically significant decrease in HbA1c, body mass index values after operation [p value <0.01], but cortisol was not different [p value = 0.72].CONCLUSION: In this present study we found that bariatric surgery caused a significant decrease in HbA1c levels in non-diabetic patients, suggesting that bariatric surgery may prevent Type 2 Diabetes Mellitus in obese patients.

scholarly journals Adipocytes Exhibit Abnormal Subcellular Distribution and Translocation of Vesicles Containing Glucose Transporter 4 and Insulin-Regulated Aminopeptidase in Type 2 Diabetes Mellitus: Implications Regarding Defects in Vesicle Trafficking

2001 ◽  
Vol 86 (11) ◽  
pp. 5450-5456 ◽  
Author(s):  
Lidia Maianu ◽  
Susanna R. Keller ◽  
W. Timothy Garvey
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Glucose Transporter ◽  
Diabetic Patients ◽  
Low Density ◽  
Glucose Transporter 4 ◽  
Glut 4

Insulin resistance in type 2 diabetes is due to impaired stimulation of the glucose transport system in muscle and fat. Different defects are operative in these two target tissues because glucose transporter 4 (GLUT 4) expression is normal in muscle but markedly reduced in fat. In muscle, GLUT 4 is redistributed to a dense membrane compartment, and insulin-mediated translocation to plasma membrane (PM) is impaired. Whether similar trafficking defects are operative in human fat is unknown. Therefore, we studied subcellular localization of GLUT4 and insulin-regulated aminopeptidase (IRAP; also referred to as vp165 or gp160), which is a constituent of GLUT4 vesicles and also translocates to PM in response to insulin. Subcutaneous fat was obtained from eight normoglycemic control subjects (body mass index, 29 ± 2 kg/m2) and eight type 2 diabetic patients (body mass index, 30 ± 1 kg/m2; fasting glucose, 14 ± 1 mm). In adipocytes isolated from diabetics, the basal 3-O-methylglucose transport rate was decreased by 50% compared with controls (7.1 ± 2.9 vs. 14.1 ± 3.7 mmol/mm2 surface area/min), and there was no increase in response to maximal insulin (7.9 ± 2.7 vs. 44.5 ± 9.2 in controls). In membrane subfractions from controls, insulin led to a marked increase of IRAP in the PM from 0.103 ± 0.04 to 1.00± 0.33 relative units/mg protein, concomitant with an 18% decrease in low-density microsomes and no change in high-density microsomes (HDM). In type 2 diabetes, IRAP overall expression in adipocytes was similar to that in controls; however, two abnormalities were observed. First, in basal cells, IRAP was redistributed away from low-density microsomes, and more IRAP was recovered in HDM (1.2-fold) and PM (4.4-fold) from diabetics compared with controls. Second, IRAP recruitment to PM by maximal insulin was markedly impaired. GLUT4 was depleted in all membrane subfractions (43–67%) in diabetes, and there was no increase in PM GLUT4 in response to insulin. Type 2 diabetes did not affect the fractionation of marker enzymes. We conclude that in human adipocytes: 1) IRAP is expressed and translocates to PM in response to insulin; 2) GLUT4 depletion involves all membrane subfractions in type 2 diabetes, although cellular levels of IRAP are normal; and 3) in type 2 diabetes, IRAP accumulates in membrane vesicles cofractionating with HDM and PM under basal conditions, and insulin-mediated recruitment to PM is impaired. Therefore, in type 2 diabetes, adipocytes express defects in trafficking of GLUT4/IRAP-containing vesicles similar to those causing insulin resistance in skeletal muscle.

scholarly journals Effect of hypothyroidism on lipid profile of type 2 diabetic patients

2020 ◽  
Vol 7 (5) ◽  
pp. 754
Author(s):  
Damanpreet Singh ◽  
Gurinder Mohan ◽  
Arshdeep Bansal
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Diabetic Complication ◽  
Control Group ◽  
P Value ◽  
Diabetic Patients ◽  
Study Group ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Background: Hypothyroidism is an endocrine disorder resulting from deficiency of thyroid hormones, and Diabetes is a metabolic disorder that share the phenotype of hyperglycaemia. Both the endocrinopathies have been found to be associated with dyslipidaemia and atherosclerosis that result into various complications. Our aim was to assess the difference of dyslipidaemia in patients suffering from hypothyroidism with diabetes as compared to diabetes alone.Methods: Study was conducted in department of medicine in SGRDIMSR, Sri Amritsar. A total of 120 patients were enrolled for the present study, the one who presented to hospital from January 2018 to August 2019 diagnosed with diabetes mellitus type 2. The patients were divided into two groups. 60 patients having type 2 diabetes without hypothyroidism (control group). 60 patients having type 2 diabetes with hypothyroidism (study group). Fasting lipid profile were performed in both the groups and were analysed for the study.Results: Dyslipidaemia was seen more in study group as compared to control group with mean cholesterol of 488.3(±144.43) and mean triglyceride levels of 354.30(±128.57) in study  group as compared to control group with mean cholesterol and triglyceride levels of 179.7(±81.47) and 177.08(±118.18) with p-value of 0.001 and 0.01 respectively which were significant. Also, obesity and diabetic complication were more in patients of dual endocrinopathies as compared to diabetes alone which were also significant statistically.Conclusions: From our study it is concluded that type 2 diabetes with hypothyroidism causes more dyslipidaemia as compare to type 2 diabetes alone. So proper screening of thyroid profile of type 2 diabetic patients and its correction helps in achieving better lipidemic control which further prevent complications.

scholarly journals Correlation between Body Mass Index and Lipid Profile in patients with Type 2 Diabetes attending a tertiary care hospital in Peshawar

2019 ◽  
Vol 35 (3) ◽  
Author(s):  
Arshad Hussain ◽  
Iftikhar Ali ◽  
Waqar Ahmad Kaleem ◽  
Fatima Yasmeen
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Lipid Profile ◽  
Body Mass ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Density Lipoprotein ◽  
Significant Negative Correlation ◽  
Care Hospital

Objective: To determine the correlation between body mass index (BMI) and lipid profile in patients with Type 2 Diabetes Mellitus (T2DM) attending a tertiary care hospital in Peshawar. Methods: A total of 305 patients (men, 132; women, 173) with T2DM visiting an Outpatient department in Northwest General Hospital and Research Centre, Peshawar from January 2016 to July 2016 were included in this study. The whole blood and sera were analyzed for Glycated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TGs), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C).The correlation of BMI with lipid ratios and individual lipid indices were analysed. Results: Mean of BMI was 29.29±5.23. Dyslipidemia; increased TC, increased LDL-C, increased triglyceride and decreased HDL-C were noted in 40.7%, 54.1%, 69.5% and 41% respectively. The mean difference of LDL-C (p=0.006) was significant between male and female. BMI, TC, TGs, and LDL-C showed no significant correlation where as a significant negative correlation between BMI and HDL-C was observed(r=-0.125, p=0.029, R2=0.016). The mean values of TC, TG, LDL-C, TC/ HDL-C and LDL-C/HDL-C ratios were greater in patients with normal BMI compared to overweight and obese; however, the differences were not significant. HDL-C differed significantly in BMI groups (p=0.040). Conclusion: A significant negative correlation between BMI and HDL-C was observed, while the correlation between BMI and LDL-C was observed to be insignificant. HDL-C was found significantly higher in patients with normal BMI. These results are important to indicate that there is modest impact of BMI on lipid profile. Therefore, assessment and management for altered blood lipids should not be based on a patient’s body weight or BMI. doi: https://doi.org/10.12669/pjms.35.3.7 How to cite this:Hussain A, Ali I, Kaleem WA, Yasmeen F. Correlation between Body Mass Index and Lipid Profile in patients with Type 2 Diabetes attending a tertiary care hospital in Peshawar. Pak J Med Sci. 2019;35(3):---------. doi: https://doi.org/10.12669/pjms.35.3.7 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Correlation of Body Mass Index with Lipid Profile and Estradiol in Postmenopausal Women with Type 2 Diabetes Mellitus

2021 ◽  
Vol 13 (01) ◽  
pp. 107-110
Author(s):  
Priya Alva ◽  
Aditi Bhandary ◽  
Prajna Bhandary ◽  
Pravesh Hegde ◽  
Neevan D’ Souza ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Type 2 Diabetes Mellitus ◽  
Lipid Profile ◽  
Postmenopausal Women ◽  
Body Mass
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