A composite of BMI and waist circumference may be a better obesity metric in Indians with high risk for type 2 diabetes: An analysis of NMB-2017, a nationwide cross-sectional study

2020 ◽  
Vol 161 ◽  
pp. 108037 ◽  
Author(s):  
Murali Venkatrao ◽  
Raghuram Nagarathna ◽  
Suchitra S. Patil ◽  
Amit Singh ◽  
S.K. Rajesh ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Waist Circumference ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Risk assessment of type-2 diabetes using the Indian diabetes risk score: a cross-sectional study on medical students from a tertiary care hospital

2021 ◽  
Vol 8 (12) ◽  
pp. 6017
Author(s):  
Aditya Pandey ◽  
Amit Patel
Keyword(s):  
Type 2 Diabetes ◽  
Medical Students ◽  
High Risk ◽  
Risk Score ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Risk Score

Background: Diabetes mellitus is a major public health problem which affects all age groups and has now been identified in young. Indian diabetes risk score (IDRS), devised and developed by Mohan et al. at the Madras Diabetes Research Foundation, is a validated tool to identify individuals with high risk of developing type 2 diabetes mellitus.Methods: Present cross-sectional study was conducted among medical students of a medical college in Jhansi from June 2021 to September 2021. A semi-structured interview schedule for socio demographic details of subjects like age, gender, education/occupation of parents and physical activity. Written informed consent was taken. Statistical analysis used was SPSS trial version was used for data analysis. P<0.05 was considered as statistically significant.Results: A total of 300 medical students were included in the study. IDRS categorization revealed 10 (3.3%) respondents had score >60 (high risk) and 84 (28%) respondents had score between 30-50 (moderate risk). While 206 (68.6%) respondent had score <30 (low risk).Conclusions: Our study supports the use of IDRS method as screening of diabetes at mass level as it is cost effective as well as time saving procedure.

scholarly journals Assessment of Risk of Type 2 Diabetes Among Adults of Banepa Municipality, Nepal: Community Based Cross-Sectional Study

2020 ◽  
Vol 8 (1) ◽  
pp. 31-36
Author(s):  
Sailendra Thapa ◽  
Pratigya Kayastha ◽  
Durga Khadka Mishra
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Risk Group ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Moderate Risk ◽  
Community Based ◽  
Cross Sectional ◽  
Family History Of Diabetes

Introduction: The prevalence of type 2 diabetes has been escalating worldwide, including low- and middle-income countries such as Nepal. Early detection of individuals at risk is of the utmost importance to prevent the escalating condition. This study used a simple, cost-effective screening tool known as the Indian Diabetes Risk Score (IDRS) in order to assess the proportion of risk groups and factors associated with it among the residents of Banepa municipality, a semi-urban area of central Nepal. Methods: A community-based cross-sectional study was conducted among 245 adults of Banepa municipality. Face to face interviews were conducted to collect the information through a pretested, semi-structured questionnaire. IDRS was used to identify the risk group for developing type 2 diabetes. Data were entered in Microsoft Excel 2010 and exported to SPSS v.11.5 for further analysis. Results: The proportion of people with high risk, moderate risk and low risk was 31%, 51.4% and 17.6%, respectively for developing type 2 diabetes. The analysis showed age (P < 0.01), education (P = 0.05), marital status (P = 0.01), body mass index (BMI) (P < 0.01), waist circumference (P < 0.01), physical activities (P < 0.01) and family history of diabetes (P < 0.04) were significantly associated with risk of type 2 diabetes. Conclusion: Nearly one-third of the study participants were in high-risk group and half of them were at moderate risk. This increasing trend of risk requires an urgent application of preventive measures through lifestyle modification.

scholarly journals Vitamin D Status and Its Relationship with Metabolic Markers in Persons with Obesity and Type 2 Diabetes in the UAE: A Cross-Sectional Study

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Amena Sadiya ◽  
Solafa M. Ahmed ◽  
Sijomol Skaria ◽  
Salah Abusnana
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Vitamin D ◽  
Waist Circumference ◽  
Cross Sectional Study ◽  
Vitamin D Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Glycemic Profile

Aim.To report vitamin D status and its impact on metabolic parameters in people in the United Arab Emirates with obesity and type 2 diabetes (T2D).Methodology.This cross-sectional study included 309 individuals with obesity and T2D who were randomly selected based on study criteria. Serum concentrations of 25-hydroxy vitamin D (s-25(OH)D), calcium, phosphorus, parathyroid hormone, alkaline phosphatase, glycemic profile, and cardiometabolic parameters were assessed in fasting blood samples, and anthropometric measurements were recorded.Results.Vitamin D deficiency (s-25(OH)D < 50 nmol/L) was observed in 83.2% of the participants, with a mean s-25(OH)D of 33.8 ± 20.3 nmol/L. Serum 25(OH)D correlated negatively (P<0.01) with body mass index, fat mass, waist circumference, parathyroid hormone, alkaline phosphatase, triglycerides, LDL-cholesterol, and apolipoprotein B and positively (P<0.01) with age and calcium concentration. Waist circumference was the main predictor of s-25(OH)D status. There was no significant association between serum 25(OH)D and glycemic profile.Conclusion.There is an overwhelming prevalence of vitamin D deficiency in our sample of the Emirati population with obesity and T2D. Association of s-25(OH)D with body mass index, waist circumference, fat mass, markers of calcium homeostasis and cardiometabolic parameters suggests a role of vitamin D in the development of cardiometabolic disease-related process.

scholarly journals Agreement between Type 2 Diabetes Risk Scales in a Caucasian Population: A Systematic Review and Report

2020 ◽  
Vol 9 (5) ◽  
pp. 1546 ◽  
Author(s):  
Jose Angel Ayensa-Vazquez ◽  
Alfonso Leiva ◽  
Pedro Tauler ◽  
Angel Arturo López-González ◽  
Antoni Aguiló ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Clinical Practice ◽  
High Risk ◽  
Cross Sectional Study ◽  
Health Concern ◽  
Risk Scores ◽  
Sectional Study ◽  
Cross Sectional

Early detection of people with undiagnosed type 2 diabetes (T2D) is an important public health concern. Several predictive equations for T2D have been proposed but most of them have not been externally validated and their performance could be compromised when clinical data is used. Clinical practice guidelines increasingly incorporate T2D risk prediction models as they support clinical decision making. The aims of this study were to systematically review prediction scores for T2D and to analyze the agreement between these risk scores in a large cross-sectional study of white western European workers. A systematic review of the PubMed, CINAHL, and EMBASE databases and a cross-sectional study in 59,042 Spanish workers was performed. Agreement between scores classifying participants as high risk was evaluated using the kappa statistic. The systematic review of 26 predictive models highlights a great heterogeneity in the risk predictors; there is a poor level of reporting, and most of them have not been externally validated. Regarding the agreement between risk scores, the DETECT-2 risk score scale classified 14.1% of subjects as high-risk, FINDRISC score 20.8%, Cambridge score 19.8%, the AUSDRISK score 26.4%, the EGAD study 30.3%, the Hisayama study 30.9%, the ARIC score 6.3%, and the ITD score 3.1%. The lowest agreement was observed between the ITD and the NUDS study derived score (κ = 0.067). Differences in diabetes incidence, prevalence, and weight of risk factors seem to account for the agreement differences between scores. A better agreement between the multi-ethnic derivate score (DETECT-2) and European derivate scores was observed. Risk models should be designed using more easily identifiable and reproducible health data in clinical practice.

scholarly journals CORRELATION BETWEEN QTC INTERVALAND INSULIN RESISTANCE IN TYPE 2 DIABETES MELLITUS

2020 ◽  
pp. 1-5
Author(s):  
Karan Dang ◽  
Taranjeet kour
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
High Risk ◽  
Cross Sectional Study ◽  
Qtc Interval ◽  
Sectional Study ◽  
Cross Sectional ◽  
Type 2 Dm ◽  
Female Subjects

Background: World incidence of diabetes is 463 million in 2019 and rise to700 million 2045. Incidence of diabetes is 88 million in SEA in 2019 and rise to 153 million by 2045 IDF(2019) the present study was planned to assess the correlation between Insulin resistance and QTc interval in Type 2 Diabetes. Methods:An observational hospital based cross-sectional study lasting one year from 1st November 2012 to 31st October 2013 was conducted in Post-Graduate Department of Medicine AcharyaShriChander Hospital Sidhra, Jammu. The study was approved by the Institutional Ethics Committee, Jammu University. All patients were subjected to thorough history,examination and necessary investigations. QTc interval was assessed using Bazzet’s formula and insulin resistance was estimated at the baseline by Homeostasis Model Assessment (HOMA) described by Matthews et al.Results: In this present observational cross-sectional study, a total of 82 patients were screened, out of which 61 patients met the inclusion criteria and hence, were the subjects. Among them 11 patients were enrolled from indoors while 50 patients were from outdoors. Out of 61 subjects, males and females were almost equally represented with a slight preponderance of female subjects. There were 29 (47.5%) male subjects and 32 (52.5%) female subjects. Their age ranged from 33-68 years. Mean age was 54.393 (±9.204) years. One fourth of the patients (15/61 i.e. 24.6%) were observed to have prolonged QTc interval while three-fourths 46 (75.4%) had QTc interval within the normal range. The mean QTc Interval of study cohort was 0.416 (±0.040)Conclusion:-In this study the frequency of prolonged QTc interval among Type 2 DM patients was considerably high (24.6%). These findings support that patients with Type 2 DM who have prolonged QTc interval have a high risk of major cardiovascular complications and it could be utilized as a rapid, objective and cost-effective screening method to identify patients at high risk for cardiovascular events.

scholarly journals Correlates and Predictors of Increasing Waist Circumference in Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Victor Mogre ◽  
Robert Abedandi ◽  
Zenabankara S. Salifu
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Waist Circumference ◽  
Abdominal Obesity ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Type 2 Dm

Type 2 diabetes mellitus (type 2 DM) has become a disease of public health concern worldwide. Obesity and elevated blood pressure have been shown to be comorbidities of type 2 DM. In this cross-sectional study in Tamale, Ghana, we determined the prevalence of abdominal obesity among type 2 DM patients. Furthermore, we examined the demographic, clinical, and anthropometric predictors of increasing waist circumference in this population. Three hundred type 2 DM patients attending the outpatient diabetes clinic of the Tamale Teaching Hospital, Ghana, were recruited for the study. Waist circumference (WC) and hip circumferences were measured appropriately. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) and fasting plasma glucose (FPG) were taken from the personal health record files of patients. Demographic data were obtained. Pearson correlation and multiple linear regression models were employed to identify predictors of increasing WC. The prevalence of abdominal obesity was 77.0% and was significantly higher in women than in men. A positive correlation was observed between waist-to-hip ratio (WHR) and WC (r=0.56, P<0.001), female gender (r=0.73, P<0.001), and age (r=0.20, P<0.001). A high prevalence of abdominal obesity was observed. Predictors of increasing WC were gender, age, FPG, and WHR.

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