scholarly journals Risk Factors for Type 2 Diabetes Mellitus in Children

2010 ◽  
Vol 18 (5) ◽  
pp. 936-942 ◽  
Author(s):  
Suyanne Freire de Macêdo ◽  
Márcio Flávio Moura de Araújo ◽  
Niciane Pessoa Bandeira Marinho ◽  
Adman Câmara Soares Lima ◽  
Roberto Wagner Freire de Freitas ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Public Schools ◽  
Demographic Data ◽  
Healthy Habits ◽  
Capillary Glucose

This study investigates risk factors for type 2 diabetes mellitus in a population of children in public schools, Fortaleza, CE, Brazil. A total of 727 children aged 6 to 11 years old from 12 schools were evaluated between March and June 2008. A form addressing socio-demographic data, body mass index, blood pressure, capillary blood glucose and waist circumference was applied. A total of 54.1% of the children were female, 21.7% were overweight, 6.6% were obese, 27% had central obesity, 6.2% showed altered capillary glucose, and 17% high blood pressure. In relation to risk factors, 53.4% presented no risk factors; 24.3% had at least one factor and 18.8% two risk factors. Nurses can intervene in schools through educational health programs encouraging the adoption of healthy habits and identifying children at risk of type 2 diabetes mellitus.

scholarly journals Association Between Classical and Emerging Risk Factors for Diabetic Kidney Disease and Albuminuria in a Cohort of Type 2 Diabetes Mellitus Patients

2021 ◽  
Vol 18 (3) ◽  
pp. 17-25
Author(s):  
Stoiţă Marcel ◽  
Popa Amorin Remus
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Significant Positive Association ◽  
Diabetic Kidney

Abstract The presence of albuminuria in patients with type 2 diabetes mellitus is a marker of endothelial dysfunction and also one of the criteria for diagnosing diabetic kidney disease. The present study aimed to identify associations between cardiovascular risk factors and renal albumin excretion in a group of 218 patients with type 2 diabetes mellitus. HbA1c values, systolic blood pressure, diastolic blood pressure were statistically significantly higher in patients with microalbuinuria or macroalbuminuria compared to patients with normoalbuminuria (p <0.01). We identified a statistically significant positive association between uric acid values and albuminuria, respectively 25- (OH)2 vitamin D3 deficiency and microalbuminuria (p <0.01).

scholarly journals Anthropometric indices as predictors of 10-year cardiovascular risk among Sub-Sahara Africans with type 2 diabetes

2021 ◽  
Vol 8 (4) ◽  
pp. 072-078
Author(s):  
TA Azeez
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cardiovascular Risk ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Anthropometric Indices

Background: Body mass index, waist circumference, waist-hip ratio and waist-height ratio are simple clinical tools for determining obesity. Type 2 diabetes mellitus is often associated with multiple cardiovascular risk factors and increased cardiovascular death. The study was aimed at determining the relationship between these anthropometric indices and 10-year cardiovascular risk among sub-saharan Africans with type 2 diabetes mellitus. Methods: It was a cross-sectional study involving 67 adults (with 50.7% females) managed for type 2 diabetes mellitus in a referral hospital in Nigeria. Ethical approval was obtained at the institution review board and the participants also gave written consent. Anthropometric indices were determined using standard protocols. Fasting lipid profile, fasting plasma glucose, glycated haemoglobin and plasma creatinine were assayed using standard laboratory techniques. Atherogenic index of plasma, estimated glomerular filtration rate and the WHO-ISH cardiovascular risk score were also determined. Data was analyzed with SPSS version 22. Pearson correlation coefficient, Students’ t test, Chi square test, ROC curve analysis were performed as appropriate. Results: The mean age was 54.12±9.03 years. Obesity was found in 37.3%, 66.5%, 70.1% and 95.5% of the participants using BMI, WHR, WC and WHtR respectively. Intermediate/high cardiovascular risk was found in 38.2% and 24.2% of the males and females respectively. BMI and WC significantly correlated with blood pressure. There was no significant correlation between anthropometric indices and other cardiovascular risk factors studied. Using ROC curve analysis, BMI and WHtR had the highest AUC of 0.613 and 0.577 respectively. Conclusion: Among sub-sahara Africans with type 2 diabetes mellitus, there is a significant association between WC and BMI with the blood pressure. BMI and WHtR have the highest 10-year cardiovascular risk predictability among the anthropometric indices in this cohort of individuals. Larger and prospective studies are needed to validate these findings.

scholarly journals Low Bone Mass is Associated with Increased Carotid Intima Media Thickness in Men with Type 2 Diabetes Mellitus

2013 ◽  
Vol 6 ◽  
pp. CMED.S11843 ◽  
Author(s):  
Mario de Almeida Pereira Coutinho ◽  
Elba Bandeira ◽  
Juliana Maria Coelho Maia de Almeida ◽  
Emanuelle Tenorio Albuquerque Madruga Godoi ◽  
Germana Vasconcelos ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Bone Mass ◽  
Abdominal Circumference ◽  
Low Bone Mass ◽  
Statin Use

Osteoporosis and atherosclerosis share common risk factors and the association of low bone mass with increased cardiovascular morbidity and mortality has been demonstrated in some studies. Nevertheless, most studies have been focused on women and only a few on individuals with type 2 diabetes mellitus (T2DM). The measurement of carotid intimal-medial thickness (CIMT) is able to detect early atherosclerotic changes and is a predictive marker of cardiovascular events. The aim of this study was to assess the CIMT and its relationship with bone mineral density (BMD) (in the femoral neck (FN) and lumbar spine (LS)) in men with T2DM. We conducted a cross-sectional study with 24 men with T2DM (aged 61 ± 6.4 years) and evaluated metabolic factors, bone densitometry values, and CIMT measured using B-mode Logic-E ultrasound machine. More than 5 years since the diagnosis of T2DM had passed in 75% of the patients, 41.6% were in statin use, mean body mass index (BMI) was 28.1 ± 3.4 kg/m2, abdominal circumference (AC) 97.8 ± 8.4 cm, systolic blood pressure (SBP) 143.8 ± 18.3 mmHg, diastolic blood pressure (DBP) 85.8 ± 12.3 mmHg, HbA1C 7.5% ± 1.3%, Triglycerides 141.7 ± 73 mg/dL, LDL-cholesterol 103.3 ± 35.9 mg/dL, HDL-cholesterol 41.6 ± 11.6 mg/dL. The patients were stratified into groups according to BMD. The group with normal BMD at FN had mean CIMT of 0.7 mm and the group with low bone mass (osteopenia or osteoporosis) had CIMT of 0.86 mm ( P = 0.007). In addition, there were no significant differences between groups regarding age, duration of T2DM, BMI, AC, SBP, DBP, statin use, smoking, HbA1C, cholesterol, or triglycerides. Our data demonstrate a negative association between BMD at the FN and CIMT in type 2 diabetic men, which was unrelated to the traditional risk factors for atherosclerotic disease and degree of diabetes control.

scholarly journals CONTROL OF GLYCEMIA AND CARDIOVASCULAR RISK FACTORS IN PATIENTS WITH TYPE 2 DIABETES IN PRIMARY CARE IN MONTENEGRO

2018 ◽  
pp. 016
Author(s):  
Milena M. Cojić ◽  
Ljiljana Cvejanov-Kezunović ◽  
Jelena Stanković ◽  
Nebojša Kavarić ◽  
Maja Koraćević ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Diabetic Patients ◽  
The Mean

Some observational studies have shown that only a small number of diabetic patients achieve optimum control of glycaemia and cardiovascular risk factors. The aim of this study was to analyze whether patients with type 2 diabetes mellitus treated in primary care achieve adequate control of glycemic levels and cardiovascular risk factors. This was a retrospective, record-based, cross-sectional study that included eligible patients from 35 to 90 years old with type 2 diabetes mellitus treated in Primary Health Care Center in Podgorica. We investigated electronic records of 531 diabetic patients. The observed prevalence of type 2 diabetes mellitus among individuals between ages 35 and 90 years, was 11,84 %. Half of the patients were female. The mean age was 65,88±9,86 years. The mean value of HbA1c was 7,56±1,71. Fifty-nine percents of patients achieved optimal levels of HbA1c ≤ 7 %. Also, more than half of patients achieved target levels of blood pressure while 27.9% achieved LDL ≤ 2.6 mmol/L. Fifty percent of patients were non-smokers and 45.1 % were obese. Among patients on primary prevention only 5.7 % had met all target levels while on secondary prevention that number was even smaller 3.7 %. Our study showed that control of HbA1c and blood pressure was similar to other studies but reaching target levels of LDL was challenging for our patients. Further analysis are needed in order to discover the reasons for poor control of certain CVRF and to develop strategies for its optimal management.

Evaluation of Biochemical and Clinical Parameters of Hypertension with Type 2 Diabetes Mellitus

2018 ◽  
Vol 69 (9) ◽  
pp. 2402-2406 ◽  
Author(s):  
Patricia Nicola ◽  
Elena Ardeleanu ◽  
Carmen Gadau ◽  
Maria Dorobantu ◽  
Roxana Darabont ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Ldl Cholesterol ◽  
Target Organ Damage ◽  
Organ Damage ◽  
Office Blood Pressure

The aim of this study was to assess the basic biochemical and clinical characteristics of patients with hypertension and type 2 diabetes mellitus (T2DM), office blood pressure (BP) and 24-h BP profile, their risk factors and associated comorbidities. Compared with non-diabetics, hypertensive patients with T2DM were older, with a longer duration of hypertension (5.9 vs. 4.7 years), greater office blood pressure and ambulatory BP values, increased incidence of multiple risk factors, target organ damage and cardiovascular disease. Biochemical data in hypertension with T2DM revealed significantly high levels of LDL cholesterol, triglycerides, creatinine, micro- and macro-albuminuria and a reduced estimated glomerular filtration rate. The presence of diabetes was associated with obesity, represented by a BMI ]30 kg/m2 (OR 2.08 [95% CI 1.26-3.45], p = 0.004), abdominal obesity (OR 1.85 [95% CI 1.11-3.04], p = 0.016), high LDL cholesterol (OR 2.02 [95% CI 1.22-3.35], p = 0.006) and high triglycerides (OR 1.86 [95% CI 1.11-3.11], p = 0.017).

scholarly journals Prevalence of cardiovascular risk factors in non-menopausal and postmenopausal inpatients with type 2 diabetes mellitus in China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Huanhuan Zhou ◽  
Chenghuan Zhang ◽  
Jingyu Ni ◽  
Xiaoyun Han
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Plasma Glucose ◽  
Blood Lipids ◽  
Overweight Or Obesity

Abstract Background To investigate the prevalence of cardiovascular disease (CVD) risk factors and assess the 10-year risk of CVD in non-menopausal and postmenopausal women with type 2 diabetes mellitus (T2DM). Methods A total of 569 patients with T2DM at a Chinese tertiary hospital were investigated using the Framingham Risk Score (FRS). We evaluated the 10-year risk of CVD, clinical and menopause characteristics in all subjects. Results Among the 569 diabetic patients, the incidence of smoking, dyslipidemia, hypertension, overweight or obesity, and nonalcoholic fatty liver disease (NAFLD) was 0.7, 36.2, 38.1 56.6 and 58.2%, respectively. The usage rate of hypoglycemic agents, antihypertensive agents, lipid modulators and antithrombotic drugs was 88.6, 78.3, 50.0 and 27.1%, respectively. However, only 1.2% of inpatients achieved the three target goals for the control of blood glucose (HbA1c < 7%), blood pressure (systolic blood pressure < 130 mmHg, diastolic blood pressure < 80 mmHg), and blood lipids (total cholesterol < 174 mg/dL). The 10-year risk of CVD was (1.6 ± 1.5%) and tended to increase along with age (F = 27.726, P <  0.001). For all subjects (n = 569), multiple linear regression analysis showed that menopause (β = 0.275, P <  0.001), low-density lipoprotein cholesterol (LDL-C) (β = 0.212, P <  0.001), fasting plasma glucose (FPG) (β = 0.093, P = 0.018) and waist-to-hip-ratio (β = − 0.078, P = 0.047) were risk factors of 10-year risk of CVD, which may explain the variance of 14.3%. In the postmenopausal group (n = 397), LDL-C (β = 0.227, P <  0.001), FPG (β = 0.139, P = 0.003) and time since menopause (β = 0.230, P <  0.001) were found to be associated with CVD, which may explain the variance of 14.6%. Conclusion The incidence of dyslipidmia, hypertension, overweight or obesity and NAFLD is high. The level of control of blood glucose, blood pressure, and blood lipids was found to be extremely low and the treatment status was not ideal. Besides menopause, LDL-C, FPG and time since menopause were found to be independent risk factors for the 10-year risk of CVD. Therefore, it is necessary to focus on comprehensive control of multiple risk factors, such as plasma glucose, blood pressure and serum lipid.

scholarly journals The Prevalence and Risk Factors of Diabetic Maculopathy in Type 2 Diabetes Mellitus: A Study From Central Nepal

2018 ◽  
Vol 4 (1) ◽  
pp. 16-21
Author(s):  
Nilam Munakarmi ◽  
Amrit Pokharel ◽  
Om Krishna Malla ◽  
Chhabindra Lal Pradhananga
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Ldl Cholesterol ◽  
Significant Risk ◽  
Diabetic Maculopathy ◽  
Cholesterol Levels

INTRODUCTION: Diabetic maculopathy is a complication of type 2 diabetes mellitus. This study was done to assess the prevalence and risk factors of Diabetic maculopathy in type 2 diabetes mellitus in Nepalese patients presenting to our hospital. MATERIAL AND METHODS: A hospital-based, descriptive, cross-sectional study was conducted at the department of ophthalmology, Kathmandu Medical College Teaching Hospital (KMCTH), Sinamangal, Kathmandu, Nepal from August, 2012 to October, 2014. 200 patients with type 2 diabetes mellitus underwent a detailed interview and a comprehensive dilated ocular evaluation by an ophthalmologist. Diabetic maculopathy was defined according to the international classification and grading system.  RESULTS: 200 patients suffering from type 2 diabetes mellitus included 90 men (45%) and 110 women (55%) of age ranging from 23 80 years (mean age = 56.23, median age = 57.5 and SD = 10.83). Diabetic maculopathy was detected in 22 patients (11%). The disease duration of 6 to 15 years had the highest prevalence of Diabetic maculopathy. Significant risk factors for diabetic maculopathy were higher levels of HbA1c (p = 0.005), higher values of blood pressure (p = 0.001), higher cholesterol levels (p = 0.000), higher LDL-cholesterol levels (p = 0.000), higher triglyceride levels (p = 0.000), higher creatinine values (p = 0.000), higher urea values (p = 0.000), higher FBS levels (p = 0.020), higher PPBS levels (p = 0.001) and lower hemoglobin values (p = 0.000). CONCLUSION: Significant risk factors for diabetic maculopathy were higher levels of HbA1c, higher values of blood pressure, higher cholesterol levels, higher LDL-cholesterol levels, higher triglyceride levels, higher creatinine values, higher urea values, higher FBS levels, higher PPBS levels and lower hemoglobin values. However, smoking, drinking alcohol, dietary habits, HDL and BMI contributed as insignificant risk factors.Journal of Universal College of Medical Sciences (2016) Vol.04 No.01 Issue 13, Page: 16-21

scholarly journals Metabolic, Anthropometric, and Type 2 Diabetes Mellitus Related Risk Factors in Normal and Pre-Diabetic Adults

2016 ◽  
Vol 9 (1) ◽  
pp. 224 ◽  
Author(s):  
Mohamed H. Al-Thani ◽  
Heba S. Nasser ◽  
Suzan Sayegh ◽  
Alexandra Haddad ◽  
Eman Sadoun
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Fat Free Mass ◽  
Categorical Variables

Type 2 diabetes mellitus (T2DM) is a major global health problem. The present study examines the relationship between the metabolic, anthropometric and Finnish risk score (FINDRISC) among normal and pre-diabetic adults. Subjects (n = 1319, aged above 18 years) from the Qatari population were classified into two groups based on their hemoglobin A1c (HbA1c) measurements (non-diabetic A1c<5.6% and pre-diabetic 5.6% ≤ A1c ≤ 6.4%) were examined for their anthropometric (height, weight and waist circumference), metabolic [fat, fat free mass (FFM), muscle mass (MM), total body water (TBW), bone mass, degree of obesity, basal metabolic rate (BMR), body mass index (BMI), metabolic age, visceral fat rating, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (Total-C), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TG), fasting / random plasma glucose (FPG / RPG), HbA1c and vitamin D (VitD)] and FINDRISC. Means and frequencies were determined in aggregate and by subgroups for all variables and correlations between categorical variables were tested to estimate the association between the anthropometric and metabolic risk factors with the FINDRISC. A percentage of 74.8% (n = 987) of the study population aged below 45 years old and their overall BMI was 28.8±5.2kg/m2 (overweight). Pre-diabetic subgroup have shown a statistically higher FINDRISC compared to their non-diabetic counterparts (11.2±4.1 vs. 9.8±4, p<0.001). The FINDRISC was significantly and directly correlated with the BMI, HbA1c and FPG. However, HbA1c was correlated directly with BMI, SBP, DBP, FPG / RPG and indirectly with the levels of HDL. This study demonstrates an apparent relationship between the HbA1c and FINDRISC score. Pursuing further research on this association may permit using HbA1c with the FINDRISC in predicting the risk of T2DM to be a better tool rather than using the current FPG/RPG, OGTT methods.

scholarly journals A study of prevalence of peripheral arterial disease in type 2 diabetes mellitus using ankle-brachial index and its correlation with coronary artery disease and its risk factors

2019 ◽  
Vol 7 (5) ◽  
pp. 1776
Author(s):  
R. K. Sharma ◽  
Pashaura S. Sandhu ◽  
Ajay Chhabra ◽  
Jagbir Singh ◽  
Rajat Kharbanda
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Ankle Brachial Index ◽  
Arterial Disease ◽  
History Of ◽  
Peripheral Arterial

Background: Peripheral arterial disease (PAD) is one of the macrovascular complications of type 2 diabetes mellitus (T2DM). There is significant difference in the reported prevalence of PAD and its associated risk factors between Indian and Western studies. The purpose of this study was to examine the PAD complicating T2DM, in particular the influence of PAD on the risk of CAD.Methods: Randomly selected 100 T2DM patients presented to Guru Nanak Dev hospital were included. In addition to a detailed history and physical examination, anthropometric parameters like body mass index was measured. CAD in patients was diagnosed by a history of angina, ECG changes, any past history of CAD or any treatment taken for CAD. Ankle brachial index (ABI) was measured. Data was collected systematically and analyzed according to the standard statistical methods.Results: The prevalence of PAD was 15%. CAD was present in 31%. PAD was found to be significantly correlated with age, duration of diabetes, smoking, systolic blood pressure, diastolic blood pressure, prevalence of BMI >25 kg/m2, HbA1c and serum HDL ≤40 mg%. Old age, high HbA1c level, and dyslipidaemia were found to be significant independent predictors of CAD.Conclusions: Using ABI authors found evidence of PAD in 15% patients of T2DM. The prevalence of CAD was higher in patients with PAD. So, there is definite and strong correlation between PAD and CAD. Thus, the early diagnosis of PAD should alert the clinician to a high probability of underlying CAD.

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