scholarly journals Assessing the risk of developing type 2 diabetes mellitus among medical students in Chennai using Indian diabetes risk score

2017 ◽  
Vol 4 (7) ◽  
pp. 2366
Author(s):  
Gopalakrishnan S. ◽  
Rama R. ◽  
Muthulakshmi M.
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Medical Students ◽  
Risk Score ◽  
Family History Of Diabetes ◽  
History Of ◽  
Diabetes Risk Score

Background: Prevalence of type 2 diabetes mellitus [T2DM] is becoming alarmingly high among younger age groups impacting on their physical, mental, social and academic wellbeing and therefore warrants early detection and prevention. The Indian diabetes risk score [IDRS] is an efficient screening tool to detect the high risk individuals at an early stage. Objective of this study is to assess the level of risk of developing T2DM among medical students using the IDRS.Methods: This cross sectional study was done using the MDRF-IDR Score to identify the ‘at risk’ medical students. Simple random sampling was used and data collected from among the 251 willing students. Their risk score was calculated using a structured questionnaire. Data was analysed using SPSS Ver.15 software.Results: This study shows that about 57.4% are moderately at risk and 2% are at high risk for developing diabetes mellitus. About 86.1% medical students belonged to nuclear family, 42.6% had family history of diabetes mellitus, 76.5% carried out moderate physical activity and 50.2% were overweight / obese. Family history of diabetes, lack of physical activity and overweight / obesity were found to be potential risk factors for developing diabetes mellitus (p<0.0001).Conclusions: This study reveals that in the existing urban lifestyle, adolescents and youths are highly vulnerable to diabetes mellitus. Primordial and primary prevention are the most effective preventive measure and therefore, appropriate and stringent lifestyle modifications need to be implemented in order to minimize the risk of developing the disease later in life.

scholarly journals The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project

2021 ◽  
Vol 11 (2) ◽  
pp. 119
Author(s):  
Svetlana V. Mustafina ◽  
Oksana D. Rymar ◽  
Liliya V. Shcherbakova ◽  
Evgeniy G. Verevkin ◽  
Hynek Pikhart ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Risk Score ◽  
Cox Regression ◽  
Population Sample ◽  
Family History Of Diabetes ◽  
History Of

The aim of this study is to investigate the 14-year risk of type 2 diabetes mellitus (T2DM) and develop a risk score for T2DM in the Siberian cohort. A random population sample (males/females, 45–69 years old) was examined at baseline in 2003–2005 (Health, Alcohol, and Psychosocial Factors in Eastern Europe (HAPIEE) project, n = 9360, Novosibirsk) and re-examined in 2006–2008 and 2015–2017. After excluding those with baseline T2DM, the final analysis included 7739 participants. The risk of incident T2DM during a 14-year follow-up was analysed using Cox regression. In age-adjusted models, male and female hazard ratios (HR) of incident T2DM were 5.02 (95% CI 3.62; 6.96) and 5.13 (95% CI 3.56; 7.37) for BMI ≥ 25 kg/m2; 4.38 (3.37; 5.69) and 4.70 (0.27; 6.75) for abdominal obesity (AO); 3.31 (2.65; 4.14) and 3.61 (3.06; 4.27) for fasting hyperglycaemia (FHG); 2.34 (1.58; 3.49) and 3.27 (2.50; 4.26) for high triglyceride (TG); 2.25 (1.74; 2.91) and 2.82 (2.27; 3.49) for hypertension (HT); and 1.57 (1.14; 2.16) and 1.69 (1.38; 2.07) for family history of diabetes mellitus (DM). In addition, secondary education, low physical activity (PA), and history of cardiovascular disease (CVD) were also significantly associated with T2DM in females. A simple T2DM risk calculator was generated based on non-laboratory parameters. A scale with the best quality included waist circumference >95 cm, HT history, and family history of T2DM (area under the curve (AUC) = 0.71). The proposed 10-year risk score of T2DM represents a simple, non-invasive, and reliable tool for identifying individuals at a high risk of future T2DM.

scholarly journals Risk to Develop Type 2 Diabetes Mellitus according to FINDRISC tool in Guatemalan Physicians aged 40-60 years

2017 ◽  
Vol 5 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Estuardo Daniel Castro ◽  
Gamaliél Alejandro Velásquez, ◽  
Edgar Lineker Santos ◽  
Gustavo Adolfo Oliva ◽  
Clara Elizabeth Chang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Overweight And Obesity ◽  
Abdominal Circumference ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
History Of

Background: In Latin America 22.4 million people has abnormal tolerance to insulin, these ones could turn into diabetics if they do not change their lifestyles. Added to this, there are 15 million who present Diabetes Mellitus and this amount will increase to 20 million in 10 years. This epidemic behavior is caused by many factors in which stand out lifestyles, the population aging, and lack of prevention programs. Since 1994, physicians in Guatemala have demonstrated to have inadequate lifestyles in different researches, standing out sedentarism, overweight and obesity, and hypercaloric diets. Objective: To evaluate the risk of developing type 2 Diabetes Mellitus using the Finnish Diabetes Risk Score (FINDRISC) in Guatemalan doctors of three medical institutions in the months of June and July 2016. Methods: Cross-sectional study, where 176 doctors were interviewed using the FINDRISC. Participant’s body mass index and abdominal circumference were measured. Results: Mean age was 50 years, 63% (110) male; 55% (96) were sedentary, more than three quarters consumed fruits and vegetables daily, 22% (38) were hypertensive, 10% (17) had a history of impaired glucose and 61% family history of diabetes (108); 47% (82) were overweight and 31% (54) had some degree of obesity. Central obesity was present in 63% (111). There was a statistically significant relationship between age and risk of type 2 diabetes (OR: 3.4 p: 0.001) as well as a relationship between physical activity and abdominal circumference (OR: 2.84, p: 0.001). Out of the total population, 80% (141) of doctors were in some degree of risk, from these, 53% with slightly elevated, 29% moderate, 16% with high and 2% very high risk. Conclusions: Eight out of ten doctors studied were at risk of developing type 2 diabetes over a period of ten years. There is a relationship between: age and risk of disease, as well as between physical activity and abdominal circumference.

scholarly journals IDENTIFICATION AND ASSESSMENT OF PREDIABETES-A RURAL INDIAN STUDY (A CORRELATIVE STUDY BETWEEN QUESTIONNAIRE AND BIOCHEMICAL ANALYSIS)

2020 ◽  
pp. 36-40
Author(s):  
VENKATESAN S. ◽  
SUSILA S. ◽  
SUTHANTHIRAN S. ◽  
MADHUSUDHAN S. ◽  
PAARI N.
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Predictive Value ◽  
Screening Tool ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Family History Of Diabetes

Objective: To identify and prevent the vulnerable prediabetic population becoming diabetic patients in the future using the Indian Diabetic Risk Score (IDRS) and to evaluate the performance of the IDRS questionnaire for detecting prediabetes and predicting the risk of Type 2 Diabetes Mellitus in Chidambaram rural Indian population. Methods: A cross-sectional descriptive study was carried out among patients attending a master health check-up of RMMCH hospital located at Chidambaram. The IDRS was calculated by using four simple measures of age, family history of diabetes, physical activity, and waist measurement. The relevant blood test, like Fasting plasma glucose (FBS), Glycated hemoglobin (HbA1C) test, were observed for identifying prediabetes. Subjects were classified as Normoglycemic, prediabetics, and diabetics based on the questionnaire and diagnostic criteria of the Indian Council of Medical Research (ICMR) guidelines. Results: In the study, sensitivity and specificity of IDRS score were found to be 84.21% and 63.4% respectively for detecting prediabetes in community with the positive predictive value of 51.6% and negative predictive value of 89.6% and prevalence of prediabetes in the Chidambaram rural population is 31.6% among the 60 participants. Conclusion: The Indian diabetic risk score questionnaire designed by Ma­dras diabetic research federation is a useful screening tool to identify unknown type 2 diabetes mellitus. The question­naire is a reliable, valuable, and easy to use screening tool which can be used in a primary care setup. 

scholarly journals Diabetes risk score in the United Arab Emirates: a screening tool for the early detection of type 2 diabetes mellitus

2018 ◽  
Vol 6 (1) ◽  
pp. e000489 ◽  
Author(s):  
Nabil Sulaiman ◽  
Ibrahim Mahmoud ◽  
Amal Hussein ◽  
Salah Elbadawi ◽  
Salah Abusnana ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
United Arab Emirates ◽  
Risk Score ◽  
Family History Of Diabetes ◽  
Non Invasive

ObjectiveThe objective of this study was to develop a simple non-invasive risk score, specific to the United Arab Emirates (UAE) citizens, to identify individuals at increased risk of having undiagnosed type 2 diabetes mellitus.Research design and methodsA retrospective analysis of the UAE National Diabetes and Lifestyle data was conducted. The data included demographic and anthropometric measurements, and fasting blood glucose. Univariate analyses were used to identify the risk factors for diabetes. The risk score was developed for UAE citizens using a stepwise forward regression model.ResultsA total of 872 UAE citizens were studied. The overall prevalence of diabetes in the UAE adult citizens in the Northern Emirates was 25.1%. The significant risk factors identified for diabetes were age (≥35 years), a family history of diabetes mellitus, hypertension, body mass index ≥30.0 and waist-to-hip ratio ≥0.90 for males and ≥0.85 for females. The performance of the model was moderate in terms of sensitivity (75.4%, 95% CI 68.3 to 81.7) and specificity (70%, 95% CI 65.8 to 73.9). The area under the receiver-operator characteristic curve was 0.82 (95% CI 0.78 to 0.86).ConclusionsA simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens. This score could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.

scholarly journals Indian Diabetes Risk Score Helps to Distinguish Type 2 from Non-Type 2 Diabetes Mellitus (GDRC-3)

2011 ◽  
Vol 5 (2) ◽  
pp. 419-425 ◽  
Author(s):  
Kunal M. Sharma ◽  
Harish Ranjani ◽  
Ha Nguyen ◽  
Shuba Shetty ◽  
Manjula Datta ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals Coffee consumption and type 2 diabetes mellitus

Medicina ◽  
2009 ◽  
Vol 45 (1) ◽  
pp. 61
Author(s):  
Lina Radzevičienė ◽  
Rytas Ostrauskas
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Lower Risk ◽  
Conditional Logistic Regression ◽  
Coffee Consumption ◽  
Family History Of Diabetes ◽  
History Of

The aim of the study was to determine the association between coffee consumption and the risk of type 2 diabetes mellitus. Material and methods. A case-control study included 234 cases with newly confirmed diagnosis of type 2 diabetes mellitus and 468 controls who were free of the disease in 2001. Cases and controls were matched by gender and age (±5 years). Data on age, education level, occupation status, marital status, family history of diabetes, lifestyle (dietary habits, smoking habits, coffee consumption, alcohol consumption, physical activity), and stress were collected via a questionnaire. Variables were retained in models as confounders when their inclusion changed the value of the OR by more than 10% in any exposure category. Conditional logistic regression to compute the odds ratio (OR), 95% confidence interval (CI), and P for trend was used. Results. After adjustment for possible confounders (family history of diabetes, body mass index, eating speed, morning exercise, cigarette smoking, years of education, and stress), a statistically significant relationship was observed between type 2 diabetes mellitus and coffee consumption. Individuals consuming four or more cups of coffee per day were at lower risk of 2 diabetes mellitus (OR=0.51; 95% CI, 0.27–0.97) compared to those who consumed one or less than one cup of coffee per day. Conclusion. Habitual coffee consumption of four or more cups per day might be related to the lower risk of type 2 diabetes mellitus.

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