scholarly journals Body Mass Index, Metabolic Syndrome, and Risk of Type 2 Diabetes or Cardiovascular Disease

2006 ◽  
Vol 91 (8) ◽  
pp. 2906-2912 ◽  
Author(s):  
James B. Meigs ◽  
Peter W. F. Wilson ◽  
Caroline S. Fox ◽  
Ramachandran S. Vasan ◽  
David M. Nathan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass

scholarly journals The effects of metformin plus sulfonylurea therapy on clinical features of the metabolic syndrome

2010 ◽  
Vol 63 (9-10) ◽  
pp. 611-615 ◽  
Author(s):  
Branka Koprivica ◽  
Teodora Beljic-Zivkovic ◽  
Tatjana Ille
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Glycemic Control ◽  
Body Mass ◽  
Combined Therapy

Introduction. Insulin resistance is a well-known leading factor in the development of metabolic syndrome. The aim of this study was to evaluate metabolic effects of metformin added to sulfonylurea in unsuccessfully treated type 2 diabetic patients with metabolic syndrome. Material and methods. A group of thirty subjects, with type 2 diabetes, secondary sulfonylurea failure and metabolic syndrome were administered the combined therapy of sulfonylurea plus metformin for six months. Metformin 2000 mg/d was added to previously used sulfonylurea agent in maximum daily dose. Antihypertensive and hypolipemic therapy was not changed. The following parameters were assessed at the beginning and after six months of therapy: glycemic control, body mass index, waist circumference, blood pressure, triglycerides, total cholesterol and its fractions, homeostatic models for evaluation of insulin resistance and secretion (HOMA R, HOMA B) and C- peptide. Results. Glycemic control was significantly improved after six months of the combined therapy: (fasting 7.89 vs. 10.61 mmol/l. p<0.01; postprandial 11.12 vs. 12.61 mmol/l. p<0.01, p<0.01; glycosylated hemoglobin 6.81 vs. 8.83%. p<0.01). the body mass index and waist circumference were significantly lower (26.7 vs. 27.8 kg/m2, p<0.01 and 99.7 vs. 101.4 cm for men, p<0.01; 87.2 vs. 88.5 for women, p<0.01). Fasting plasma triglycerides decreased from 3.37 to 2.45 mmol/l (p<0.001) and HOMA R from 7.04 to 5.23 (p<0.001). No treatment effects were observed on blood pressure, cholesterol, and residual insulin secretion. Conclusion. Administration of metformin in type 2 diabetes with metabolic syndrome decreased cardiovascular risk factors by reducing glycemia, triglycerides, BMI, central obesity and insulin resistance.

scholarly journals Iron Deficiency and Obesity – Are we Diagnosing with Appropriate Indicators?

2018 ◽  
Vol 31 (9) ◽  
pp. 478 ◽  
Author(s):  
Ana Margarida Monteiro ◽  
Vera Fernandes ◽  
Cláudia Matta-Coelho ◽  
Sílvia Paredes ◽  
Maria Lopes Pereira ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Iron Deficiency ◽  
Body Mass ◽  
Obese Patients ◽  
Exclusion Criteria ◽  
Multidisciplinary Consultation ◽  
Deficiency Type

Introduction: We aim to define the iron deficiency prevalence and eventual differences between obese patients with and without metabolic syndrome.Material and Methods: Analysis of patients evaluated at multidisciplinary consultation of obesity in our institution between 2013 and 2015 (n = 260). Iron deficiency: ferritin levels < 15 ng/mL. Exclusion criteria: prior bariatric surgery; lack of ferritin or hemoglobin determinations.Results: We analyzed data from 215 patients (84.2% female) with a mean age of 42.0 ± 10.3 years. The median body mass index was 42.5 (40.0 - 46.8) kg/m2 and 52.1% had metabolic syndrome. Iron deficiency was present in 7.0%, with no differences between genders or between patients with or without metabolic syndrome. Hypertension was associated with lower prevalence of iron deficiency. Type 2 diabetes and hypertension patients had higher levels of ferritin. The multivariate analysis showed that metabolic syndrome and increasing body mass index were predictive of higher risk of iron deficiency while hypertension predicted lower odds of iron deficiency.Discussion: The prevalence of iron deficiency was similar in other published studies. Iron deficiency may be underdiagnosed if based only on ferritin concentrations. In our study, diabetes and hypertension appear to contribute to the increase in ferritin levels described in obesity.Conclusion: Ferritin may not be a reliable index for evaluating iron stores in obese patients, particularly when associated with comorbidities such as type 2 diabetes and hypertension. Further studies are needed to guide the diagnosis and iron supplementation in these patients.

Independent Impact of Body Mass Index and Metabolic Syndrome on the Risk of Type 2 Diabetes in Koreans

2012 ◽  
Vol 10 (5) ◽  
pp. 321-325 ◽  
Author(s):  
Chul-Hee Kim ◽  
Hong-Kyu Kim ◽  
Sung-Jin Bae ◽  
Eun-Hee Kim ◽  
Joong-Yeol Park
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass

scholarly journals Relationship between metabolic syndrome components in patients with resistant arterial hypertension

2021 ◽  
Vol 11 (6) ◽  
pp. 199-208
Author(s):  
I. P. Shmakova ◽  
S. A. Panina ◽  
P. A. Shishova
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Arterial Hypertension ◽  
Density Lipoprotein ◽  
Resistant Arterial Hypertension

Metabolic syndrome (MS) is a complex of interrelated pathological conditions based on insulin resistance, obesity, dyslipoproteinemia, arterial hypertension (AH). MS is a predictor of the cardiovascular disease, type 2 diabetes mellitus (DM), cancer and premature death. The incidence of type 2 diabetes increases with age and is 25.2% among the elderly. The prevalence of prediabetes or metabolic syndrome was approximately three times higher. Heart failure is another important cause of morbidity and mortality from the cardiovascular disease. Recent studies have shown that the incidence of hospitalizations for heart failure (adjusted for age and gender) was twice as high in patients with diabetes compared with patients without diabetes. Patients with hypertension and abdominal obesity (AO) have an increased risk of various complications: type 2 diabetes -5-9 times, stroke - 7 times, coronary heart disease - 4 times and mortality - 2 times. Objective: To analyze the relationship between the components of the metabolic syndrome in patients with resistant arterial hypertension (RAH). Materials and methods. A retrospective analysis of case histories of 120 patients, including 52 men (43.33%) and 68 women (56.67%) with a diagnosis of RAH and signs of MS. The presence of concomitant pathology, the level of office arterial pressure, pulse pressure (PP) were calculated; body weight, height with calculation of body mass index (BMI); waist circumference (WC), the levels of low-density lipoprotein (LDL) and high-density lipoprotein (HDL), triglycerides (TG), and plasma glucose were studied. Student's criterion was used to assess the degree of significance of the differences, p≤0.05 was taken as the critical level of significance. Pearson's correlation coefficient was used. Disorders of carbohydrate metabolism among patients with MS and RAH is 67.50%, of which type 2 diabetes makes 50.83%, impaired glucose tolerance - 16.67%. Patients with impaired carbohydrate metabolism are 2 times more likely to have complications of hypertension and lower HDL. Women with MS and RAH were significantly older than men and more often had concomitant pathology: morbid obesity (p <0.05), type 2 diabetes mellitus (p <0.05), chronic cerebral ischemia (p <0.05), higher body mass index (p <0.01). Strong correlation between WC and BMI (r = 0.707; p˂0.001), weak direct correlations between WC and PP (r = 0.231; p˂0.05) and WC and TG (r = 0.221; p˂0.05), weak feedback between WC and age (r = -0.188; p˂0.05), and for men direct correlations between WC and TG were confirmed (r = 0.454; p˂0.001), BMI and TG (r = 0.454, p˂0.002).

scholarly journals Evaluasi HbA1c, hs-CRP dan indeks massa tubuh pada populasi sehat: Sebuah studi komunitas

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Arum Tri Wahyuningsih ◽  
Fuad Anshori ◽  
Elizabeth Henny Herningtyas ◽  
Tri Ratnaningsih
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Type 2 Diabetes Mellitus ◽  
Body Mass ◽  
Risk Category ◽  
Hs Crp

Insulin resistance as a cause of type 2 diabetes mellitus is associated with subclinical inflammatory processes. Insulin resistance with obesity, hypertension, and dyslipidemia contribute to metabolic syndrome that increased risk of cardiovascular disease. High sensitivity C-reactive protein (hs-CRP) is an inflammatory marker that is thought to be associated with both type 2 diabetes mellitus and cardiovascular disease. This study evaluated hs-CRP, HbA1c, and body mass index in a healthy community. This cross-sectional study is an observational analytic study evaluating the association between hs-CRP, HbA1c, and body mass index. The research subjects were all healthy on a community gathering in community service programs, and if there were any signs or symptoms of infection or inflammation, they would be excluded. Measurements of hs-CRP and HbA1c were carried out using the HPLC and ELISA methods, respectively. The measurement results were analyzed to evaluate the characteristics of the subject and assess the relationship between the parameters studied with different mean and correlation tests. In 25 subjects involved, it was found that 96% had an HbA1c value of <6.5% with a normal body mass index of 15 subjects (60%), and the rest were in the category of overweight. The median hs-CRP level was 2.99 mg / L (0.81-13.74 mg / L), with a low heart risk category of only 4% of all study subjects. There was no correlation between hs-CRP with HbA1c (r = 0.35; p = 0.868) and body mass index (r = 0.37; p = 0.069). Only one subject was included in the diabetes diagnostic criteria, but 96% of the study population had hs-CRP, which was included in the medium-risk and high-risk category for heart disease. There was no association between hs-CRP and HbA1c and body mass index in healthy populations in this community.

Obesity

2010 ◽  
pp. 1527-1534
Author(s):  
I. Sadaf Farooqi
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Studies ◽  
Routine Practice ◽  
Medical Disorder ◽  
Increased Risk

Obesity is defined as an excess of body fat that is sufficient to affect health adversely. It is associated with an increased risk of type 2 diabetes, cardiovascular disease, and some forms of cancer and is a serious medical disorder. In routine practice, body mass index (BMI) is most often used to define obesity in population studies and in the clinic: overweight, BMI 25 to 29.9 kg/m...

Sign in / Sign up

Export Citation Format

Share Document