Diabetes Risk Assessment Tool (DRAT): A Tool for the Identification of Non-traditional Risk Factors of Type 2 Diabetes.

If the population can be made more aware about diabetes by the use of a risk assessment tool as an educational tool as well, it could help to curb the diabetes epidemic in Nepal. Education of the masses about diabetes risk factors, prevention, and complications is urgently needed, using clear and simple messages. National policy efforts can be strengthened and health outcomes improved when awareness is increased. Perhaps learning from Canada is a start, and Nepal will be able to make progress with something simple like ‘NEPAL-RISK’?

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Comment on: Alssema et al. One Risk Assessment Tool for Cardiovascular Disease, Type 2 Diabetes, and Chronic Kidney Disease. Diabetes Care 2012; 35:741-748

Diabetes Care ◽

10.2337/dc12-0566 ◽

2012 ◽

Vol 35 (10) ◽

pp. e75-e75

Author(s):

J. L. Vassy

Keyword(s):

Type 2 Diabetes ◽

Cardiovascular Disease ◽

Risk Assessment ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Diabetes Care ◽

Assessment Tool ◽

Disease Type ◽

Risk Assessment Tool

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TYPE 2 DIABETES MELLITUS PREDICTION IN MALAYSIA USING MODIFIED DIABETES RISK ASSESSMENT TOOL

Malaysian Journal of Public Health Medicine ◽

10.37268/mjphm/vol.20/no.1/art.442 ◽

2020 ◽

Vol 20 (1) ◽

pp. 15-21

Author(s):

Aung Myo Oo ◽

Al-abed Ali Ahmed Al-abed ◽

Ohn Mar Lwin ◽

Sowmya Sham Kanneppady ◽

Tee Yee Sim ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Risk Assessment ◽

Type 2 Diabetes Mellitus ◽

High Risk ◽

Assessment Tool ◽

Cost Effective ◽

Risk Assessment Tool ◽

Type 2 Dm

Type 2 diabetes mellitus (DM) is becoming major health threat worldwide and it is extremely common in clinical setting. Malaysia is one of the highest diabetic populations among Asian countries and the new cases are increasing day to day. Early detection of people with high risk of Type 2 DM by using simple, easy and cost-effective assessment tool is the better way to identify and prevent the community from this non-communicable disease. The objectives of the study were to identify those are high risk to become type 2DM among Malaysians by using risk scoring form and to educate them how to prevent it. Total 591 subjects were recruited from the health screening programs carried out by the collaboration of Petaling Jaya Development Council (MBPJ) and Lincoln University College, Malaysia. Modified form of Finnish Type 2 Diabetes Risk Assessment Tool was used to identify people at risk of becoming type 2 DM. Descriptive analysis was performed for all included variables in this study by using SPSS version 21. The study found out that almost half of the participants were found to have family history of DM, 60% of them were overweight and obese and 47% were having above normal waist circumference. We observed that nearly 60 % of participants in the study were having moderate to high risk of becoming type 2 DM in next 10 years. To conclude, the result of our study would be helpful in implementation of cost-effective, convenient Type 2 DM risk assessment tool which has yet to be implemented in Malaysia.

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The Association between Sleep Quality and Type Two Diabetes at 20 Year Follow-up in the Southall And Brent REvisited (SABRE) Cohort: a Tri-ethnic Analysis

10.1101/2020.08.23.20157073 ◽

2020 ◽

Author(s):

Zhen Ling Ong ◽

Nishi Chaturvedi ◽

Therese Tillin ◽

Caroline Dale ◽

Victoria Garfield

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Sleep Quality ◽

South Asians ◽

Diabetes Risk ◽

Poor Sleep ◽

Falling Asleep ◽

Traditional Risk Factors

Objective: The risk of developing type 2 diabetes associated with poor sleep quality is comparable to that of traditional risk factors (e.g. overweight, physical inactivity). In the United Kingdom, these traditional risk factors could not explain the two to three-fold excess risks in South Asian and African Caribbean men compared to Europeans. This study investigates the (i)the association between mid-life sleep quality and later-life type 2 diabetes risk and (ii)a potential modifying effect of ethnicity. Research Design and Methods: The Southall and Brent REvisited (SABRE) cohort comprised Europeans, South Asians, and African Caribbeans (median follow-up = 19 years). Complete case analysis was performed on 2190 participants without diabetes at baseline (age= 51.7 ± 7SD). Competing risks regressions were used to estimate the hazard ratios (HRs) of developing type 2 diabetes associated with four self-reported baseline sleep exposures (difficulty falling asleep, early morning waking, waking up tired and snoring) while adjusting for confounders. Modifying effects of ethnicity were analysed by (i) testing for interactions and (ii) performing ethnicity-stratified analysis. Results: Snoring was strongly associated with increased type 2 diabetes risk but only among South Asians in a fully-adjusted model (HR 1.42, 95%CI=1.08-1.85, P=0.011). Our results revealed no elevated risk for any of the sleep exposures across all three ethnic groups. Conclusions: The association between snoring and type 2 diabetes appeared to be modified by ethnicity, with South Asians at greatest risk.

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