scholarly journals Rural prevalence of type 2 diabetes mellitus: A cross sectional study

2014 ◽  
Vol 02 (02) ◽  
pp. 082-086 ◽  
Author(s):  
Hetal Rathod ◽  
Sanjay Darade ◽  
Uday Chitnis ◽  
Jitendra Bhawalkar ◽  
Sudhir Jadhav ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Family History ◽  
Confidence Intervals ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Waist Hip Ratio

Abstract Background: Recent studies in India indicate rising trends of diabetes even in rural areas. Continuous monitoring of the diabetes situation is required by repeated cross sectional studies in different parts of the country both urban rural to plan control measures. Aim: To estimate the prevalence of Type 2 diabetes in a sample of rural population and explore associations between diabetes and known risk factors. Materials and Methods: A cross sectional study was carried out in 3 villages in the rural field practice area of a medical college in Pune, India. All eligible adults of both genders were included and screened for diabetes by house to house survey. A total of 1000 subjects were examined. Physical examination included measuring height, weight, and waist hip ratio. Blood glucose was estimated using glucometer. Family history of diabetes was also elicited. Data was analysed by descriptive statistics using proportions with 95% confidence intervals. Various associations were explored using using Odds Ratio with 95% confidence intervals as applicable. Results: The prevalence of diabetes mellitus was 9.1% (91/1000; 95% CI 7.4, 11). Most cases of newly detected diabetics were in the age group 36 - 40 years. There was no association between gender and diabetes (OR = 1.38, 95% CI 0.88, 2.17). Overweight status was associated with diabetes: 38.5% (35/91) of diabetics were overweight compared to 18.6% (169/909) of non-diabetics (OR = 2.74, 95% CI 1.69, 4.41). Similarly abnormal waist hip ratio was associated with diabetes: 47.25% (43/91) of diabetics had high waist hip ratio compared with 29.59% (269/909) of non-diabetics (OR = 2.13, 95% CI 1.35, 3.37). Also family history was strongly associated with diabetes: 27.5% (25/91) of diabetics gave positive family history compared with 9.4% (85/909) of non-diabetics (OR = 3.67, 95% CI = 2.13, 6.30). Conclusion: The burden of diabetes was present in the rural population studied. The associated known risk factors were also prevalent and showed strong relationship with diabetes. Diabetes mellitus erstwhile thought to be a disease of urban life appears to be equally prevalent in the rural setting.

Clinical Features of And Risk Factors for Normoalbuminuric Diabetic Kidney Disease In Hospitalized Patients With Type 2 Diabetes Mellitus: A Retrospective Cross-Sectional Study

2021 ◽  
Author(s):  
Qi Dai ◽  
Nan Chen ◽  
Ling Zeng ◽  
Xin-Jie Lin ◽  
Feng-Xiu Jiang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Kidney Disease ◽  
Cross Sectional Study ◽  
Regression Analyses ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background: Normoalbuminuric diabetic kidney disease (NADKD) is a newly defined DKD, the clinical features and pathogenesis for which are still being understood. This study aimed to investigate the features and risk factors for NADKD in patients with type 2 diabetes mellitus (T2DM).Methods: A retrospective cross-sectional study was conducted. The related clinical and laboratory data of patients with T2DM hospitalized between August 2012 and January 2020 were collected for statistical analysis. We classified the patients with T2DM into four groups on the basis of the presence or absence of albuminuria and reduced estimated glomerular filtration rate (eGFR). Analysis of variance, the Kruskal–Wallis test, and the chi-square test were used to compare the groups. Binary logistic regression analyses with a forward stepwise method were performed to explore the risk factors for renal dysfunction in hospitalized patients with normoalbuminuric T2DM.Results: Among the 1620 patients evaluated, 500 (30.9%) had DKD, of which 9% had NADKD. The prevalence of stroke, cardiovascular events, carotid plaque, and peripheral arterial disease in NADKD was significantly higher than in a non-DKD control group (normoalbuminuric T2DM patients with eGFR of ≥60 ml/min/1.73 m2). Regression analyses revealed that three significant independent factors were associated with NADKD: age (OR = 1.089, confidence interval [CI] 95% [1.055−1.123], p < 0.001), previous use of renin−angiotensin system inhibitors (RASIs; OR = 2.330, CI 95% [1.212−4.481], p = 0.011), and glycated hemoglobin (HbA1c; OR = 0.839, CI 95% [0.716−0.983], p = 0.03). Conclusions: NADKD is mainly associated with macrovascular rather than microvascular complications. NADKD is more common in patients with normoalbuminuric T2DM with older age, previous use of RASIs, and good glycemic control.

scholarly journals Serum uric acid levels in type 2 diabetes mellitus among South Indian Urban Population: A cross sectional study

2020 ◽  
Vol 9 (6) ◽  
pp. 20-24
Author(s):  
Harish Rangareddy ◽  
Venkateshappa C
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Waist Hip Ratio

Background and aim: Hyperuricemia is common in individuals with obesity, metabolic syndrome and type 2 diabetes mellitus. This has been attributed to the hyperinsulinemia due to insulin resistance in T2DM and it’s effect on the renal excretion of uric acid. There have been recent studies depicting that hyperuricemia may independently predict the development of diabetes. However, there are conflicting studies of hypouricemia in T2DM as well which may be due to increased glomerular filtration rate with increased renal clearance of uric acid. In order to add further evidence to the existing database of knowledge about uric acid metabolism in T2DM this study was carried out. Material and Methods: This cross sectional study and the subjects were selected according to inclusion and exclusion criteria. Data recorded included serum uric acid, HbA1c, fasting and post prandial plasma glucose, serum creatinine, fasting lipid profile and waist hip ratio. Results: The mean value of serum uric acid was 5.11±1.2 mg/dL in diabetics and 4.59±1.12 mg/dL in non-diabetics, though within the normal reference range was statistically significant (p=0.029). However, the association of hyperuricemia (serum uric acid >7mg/dL) as a risk factor for diabetes mellitus was not significant (p=1.000). Waist circumference in cases was 94.8 ± 10 cm and in controls it was 86.6 ± 11.6 cm (p<0.001). Waist-hip ratio in diabetics was 1.0 ± 0.11 and in non-diabetics 0.9 ± 0.08 (p<0.001). HbA1c, FBS, PPBS, serum creatinine, waist circumference, waist-hip ratio were significantly increased and HDLc was decreased significantly in diabetes mellitus. Conclusion: Increased serum uric acid, decreased HDLc and increased waist-hip ratio are observed in type 2 diabetes mellitus. Steps should be taken to monitor serum uric acid, lipid profile and anthropometric measurements of diabetics and non-diabetics. Keywords: Uric acid, type 2 Diabetes mellitus

scholarly journals DISTRIBUTION PATTERNS AND RISK FACTORS OF DYSLIPIDEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN BOGOR, INDONESIA

2020 ◽  
pp. 5-8
Author(s):  
SARASWATI PRADIPTA ◽  
HERI WIBOWO ◽  
DANTE SAKSONO HARBUWONO ◽  
EKOWATI RAHAJENG ◽  
RAHMA AYU LARASATI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective: Type 2 diabetes mellitus (T2DM) patients tend to have abnormal lipid profiles, explaining the association between elevated cholesterol andtriglyceride levels in diabetic patients and coronary heart disease. This study aims to evaluate how the common risk factors for dyslipidemia affectthe lipid profile of diabetic patients and to determine which factors can be used as predictors for the occurrence of dyslipidemia in T2DM patients.Methods: A total of 238 diabetic patients (63 male and 175 female; age: 31–70 years) were enrolled in this cross-sectional study. All of them hadundergone regular examinations in cohort studies on risk factors for non-communicable diseases conducted by the Ministry of Health in Bogorbetween December 2017 and January 2018.Results: The result found that age differences did not affect lipid profile levels, and the females had higher mean values of body mass index (p<0.001),total cholesterol (TC) (p<0.05), and high-density lipoprotein (HDL) (p<0.001) than the males. The most common occurrences of dyslipidemia werehigh TC level (57.1%), followed by high low-density lipoprotein (LDL) level (47.1%), high triglyceride level (37.4%), and low HDL level (16.4%). Beingoverweight was found to be the best predictor of dyslipidemia.Conclusion: The results of this study suggest that in T2DM patients, sex affects TC and HDL levels, whereas age does not exert a significant effect onthe lipid profiles. In addition, poor glycemic control, hypertension, and obesity may serve as predictors of dyslipidemia in T2DM patients.

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