scholarly journals Development and Validation of a Risk Score for Diabetes Screening in Oman

2021 ◽  
Author(s):  
Najla A Al-Lawati ◽  
Helman Alfonso ◽  
Jawad Al-Lawati
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Marital Status ◽  
Risk Score ◽  
Diabetes Risk ◽  
Cutoff Point ◽  
Optimal Cutoff ◽  
Optimal Cutoff Point ◽  
Score Model ◽  
Diabetes Risk Score

Objective: To develop and validate a diabetic risk score model, as a non-invasive and selfadministered screening tool, to be used in the general Omani population. Methods: The World Health Survey (WHS) 2008 data from Oman (n=2,720) was used to develop the risk score model. Multivariable logistic regression with backward stepwise method was implemented to obtain risk factors regression coefficients for gender, age, educational attainment, marital status, place of residence, hypertension, body mass index, waist circumference, tobacco use, daily fruits and vegetables intake and weekly physical activity. The model coefficients were multiplied by a factor of five to allocate each variable category a risk score. The total score was calculated as the sum of these individual scores. The score was validated using another Omani cohort (Sur Survey 2006 dataset, n=1,355) Page 2 of 24 by calculating the area under the receiver-operating characteristic (ROC) curve (AUC) and optimal score sensitivity and specificity were determined. Results: A robust diabetes risk score model was produced, which composed of eight variables (age, gender, education level, marital status, place of residence, hypertension, smoking status and body mass index) with an optimal cutoff point of ≥15 to classify persons with possible prevalent T2DM. At this cutoff point, the model had a sensitivity of 71.1%, specificity of 74.4% and AUC of 0.80 (95% CI) 0.7–0.82, when internally validated (in the WHS 2008 cohort). When the model was externally validated (using the Sur 2006 cohort), the optimal cutoff point for the score was ≥13, with a lower sensitivity (54%), higher specificity (79%) and an AUC of 0.74 (95% CI 0.70–0.78). In contrast, test of the old Omani, Kuwaiti, Saudi and Finnish diabetes risk scores, in both of our study populations, showed poor performance of these models among Omanis with poor sensitivity (29% to 63.5%) and reasonable specificity (70% to 80%). Conclusion: The developed diabetes risk score for screening prevalent T2DM, provides an easy-to-use self-administered tool to identify most individuals at risk of this condition in Oman. The score incorporates eight diabetes-associated risk factors that can also act as a tool to increase people’s awareness about the importance of diabetes-related risk factors and provide information for policy makers to establish a diabetes prevention programs.

scholarly journals Prediction of the risk of developing diabetes mellitus among Bangladeshi adults by using risk assessment score

2019 ◽  
Vol 10 (1) ◽  
pp. 40-47
Author(s):  
Nazma Akter
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Assessment ◽  
Blood Glucose ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
High Blood Glucose ◽  
History Of ◽  
Diabetes Risk Score

Background: Diabetes mellitus (DM) is considered as one of the major health problems worldwide. The rising prevalence of type 2 diabetes mellitus (T2DM) in Bangladesh is primarily attributed to rapid urbanization and associated changes in lifestyle, such as sedentary lifestyle, higher calorie food intake and stressful life. Studies support the utilization of riskassessment scoring systems in quantifying individual’s risk for developing T2DM. Thus, a simple risk-assessment scoring system for early screening of T2DM among Bangladeshi adults will be beneficial to identify the high-risk adults and thus taking adequate preventive measures in combating DM.The purpose of the study was to calculate the risk assessment score of developing T2DM within 10 years among Bangladeshi adults. Methods: The cross-sectional observational study was carried out in the outpatient department (OPD) of Medicine, MARKS Medical College & Hospital, a tertiary care hospital in Dhaka, Bangladesh from February 2018 to July 2018 among randomly sampled 205 adult subjects. Subjects undiagnosed with diabetes mellitus and had previous history of high blood glucose during pregnancy or other health examination (i.e. impaired fasting glucose, impaired glucose tolerance or gestational diabetes mellitus) were included. From a review of literature regarding risk factors of developing DM in Bangladesh, the Finnish Diabetes Risk Score (FINDRISC) system was found to be more useful for the Bangladeshi adults. The Finnish Diabetes Risk Score (FINDRISC) questionnaire was used to collect the data including demographic characteristics and different risk factors and to calculate total risk score for predicting the risk of developing T2DM within 10 years. Results: Among 205 subjects, male and female were 57.1% and 42.9% respectively. The Mean (±SD) age of the study subjects was 37.64±1.07 years. In this study, both non-modifiable and modifiable risk factors showed statistically significant association with the FINDRISC among Bangladeshi adults (p<0.05). There was a significant association among FINDRISC with history of previous high blood glucose, and treated hypertensive Bangladeshi adults.33.65% of the Bangladeshi adults had slightly elevated diabetes risk score (DRS). This study predicts that 17.55% of the Bangladeshi adults may have moderate to high risk to develop T2DM within the consecutive 10 years. Conclusion: This study provides a simple, feasible, non-invasive and convenient screening FINDRISC tool that identifies individuals at risk of having T2DM. People with high risk of DM should be referred for early intervention and changes to a healthy lifestyle and primary prevention to prevent or delay the onset of T2DM. Birdem Med J 2020; 10(1): 40-47

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study (Preprint)

2018 ◽  
Author(s):  
Angela YM Leung ◽  
Xin Yi Xu ◽  
Pui Hing Chau ◽  
Yee Tak Esther Yu ◽  
Mike KT Cheung ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Risk Group ◽  
Mobile App ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Risk Level ◽  
Optimal Cutoff ◽  
Diabetes Risk Score

BACKGROUND To decrease the burden of diabetes in society, early screening of undiagnosed diabetes and prediabetes is needed. Integrating a diabetes risk score into a mobile app would provide a useful platform to enable people to self-assess their risk of diabetes with ease. OBJECTIVE The objectives of this study were to (1) assess the profile of Diabetes Risk Score mobile app users, (2) determine the optimal cutoff value of the Finnish Diabetes Risk Score to identify undiagnosed diabetes and prediabetes in the Chinese population, (3) estimate users’ chance of developing diabetes within 2 years of using the app, and (4) investigate high-risk app users’ lifestyle behavior changes after ascertaining their risk level from the app. METHODS We conducted this 2-phase study among adults via mobile app and online survey from August 2014 to December 2016. Phase 1 adopted a cross-sectional design, with a descriptive analysis of the app users’ profile. We used a Cohen kappa score to show the agreement between the risk level (as shown in the app) and glycated hemoglobin test results. We used sensitivity, specificity, and area under the curve to determine the optimal cutoff value of the diabetes risk score in this population. Phase 2 was a prospective cohort study. We used a logistic regression model to estimate the chance of developing diabetes after using the app. Paired t tests compared high-risk app users’ lifestyle changes. RESULTS A total of 13,289 people used the app in phase 1a. After data cleaning, we considered 4549 of these as valid data. Most users were male, and 1811 (39.81%) had tertiary education or above. Among them, 188 (10.4%) users agreed to attend the health assessment in phase 1b. We recommend the optimal value of the diabetes risk score for identifying persons with undiagnosed diabetes and prediabetes to be 9, with an area under the receiver operating characteristic curve of 0.67 (95% CI 0.60-0.74), sensitivity of 0.70 (95% CI 0.58-0.80), and specificity of 0.57 (95% CI 0.47-0.66). At the 2-year follow-up, people in the high-risk group had a higher chance of developing diabetes (odds ratio 4.59, P=.048) than the low-risk group. The high-risk app users improved their daily intake of vegetables (baseline: mean 0.76, SD 0.43; follow-up: mean 0.93, SD 0.26; t81=–3.77, P<.001) and daily exercise (baseline: mean 0.40, SD 0.49; follow-up: mean 0.54, SD 0.50; t81=–2.08, P=.04). CONCLUSIONS The Diabetes Risk Score app has been shown to be a feasible and reliable tool to identify persons with undiagnosed diabetes and prediabetes and to predict diabetes incidence in 2 years. The app can also encourage high-risk people to modify dietary habits and reduce sedentary lifestyle.

scholarly journals Diabetes Risk Score in a Young Student Population in Jordan: A Cross-Sectional Study

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Abdel-Ellah Al-Shudifat ◽  
Amjad Al-Shdaifat ◽  
Ahmad Ali Al-Abdouh ◽  
Mohammad Ibrahim Aburoman ◽  
Sara Mohammad Otoum ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Plasma Glucose ◽  
Risk Group ◽  
High Risk Group ◽  
Student Population ◽  
Diabetes Risk ◽  
Young Student ◽  
Diabetes Risk Score

Background. The Middle East is the home to the most obese population in the world, and type 2 diabetes mellitus is endemic in the region. However, little is known about risk factors for diabetes in the younger age groups. Methods. The Finnish Diabetes Risk Score (FINDRISC) is a simple, validated tool to identify persons at risk of diabetes. We investigated students at Hashemite University in Jordan with FINDRISC and measured fasting plasma glucose in those who were categorized in the high-risk group. Results. Overall, 1821 students (881 [48.4%] female) were included in the study. Risk factors for diabetes were common: 422 (23.2%) were overweight or obese and 497 (27.3%) had central obesity. Using the FINDRISC score, 94 (5.2%) students were at moderate risk and 32 (1.8%) at high risk of diabetes. The mean FINDRISC score was significantly higher in men than women (5.9 versus 5.4; p=0.002). Twenty-eight students in the high-risk group had a subsequent plasma glucose measurement, and 8 (29%) of them fulfilled the diagnostic criteria for diabetes. Conclusions. Risk factors for diabetes were common in a young student population in Jordan, suggesting that preventive measures should be initiated early in adulthood to turn the diabetes epidemic in the region.

scholarly journals Validity of Indian Diabetes Risk Score and its association with body mass index and glycosylated hemoglobin for screening of diabetes in and around areas of Lucknow

2017 ◽  
Vol 6 (2) ◽  
pp. 366 ◽  
Author(s):  
SatyendraKumar Sonkar ◽  
MohammadMustufa Khan ◽  
GyanendraKumar Sonkar ◽  
Roshan Alam ◽  
Sudhir Mehrotra ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Risk Score ◽  
Glycosylated Hemoglobin ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals Validation of the Finnish diabetes risk score (FINDRISC) for the Caucasian population of Siberia

2016 ◽  
Vol 19 (2) ◽  
pp. 113-118 ◽  
Author(s):  
Svetlana V. Mustafina ◽  
Oksana D. Rymar ◽  
Olga V. Sazonova ◽  
Liliya V. Shcherbakova ◽  
Michail I. Voevoda
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Adult Population ◽  
Risk Groups ◽  
Diabetes Risk ◽  
Receiver Operating Curve ◽  
Siberian Population ◽  
Cross Sectional ◽  
Diabetes Risk Score

Aim. A validation of the Finnish diabetes risk score (FINDRISC) was conducted among the Siberian population. FINDRISC was used to study the prevalence of risk factors for type 2 diabetes mellitus (T2DM) and to estimate the incidence of T2DM in high-risk groups during a 10-year observation period. Materials and methods. A total of 9,360 subjects aged between 45 and 69 years were enrolled in this cross-sectional, population-based study. FINDRISC was used to group 8,050 people without diabetes according to their risk for T2DM. Statistical analysis was performed using SPSS. Results. When a cutoff point of 11 was used to identify those with diabetes, sensitivity was 76. 0% and specificity was 60. 2%. The area under the receiver operating curve for diabetes was 0. 73 (0. 73 for men and 0. 70 for women). More than one-third (31. 7%) of the adult population of Novosibirsk was estimated to have medium, high or very high risk of developing T2DM in the next 10 years. Cases of T2DM estimated to occur during the 10 years of follow-up had significantly higher incidence of risk factors such as BMI ≥30 kg/m2, waist circumference 102 cm in men and 88 cm in women and a family history of T2DM and were more likely to take drugs to lower blood pressure. Conclusion. FINDRISC provided good results in our sample, and we recommend its use in the Siberian population. 

Relationships Between Finnish Diabetes Risk Score (Findrisc) And Cardiometabolic Risk Factors In Kyrgyz Native Subjects

2019 ◽  
Vol 287 ◽  
pp. e187-e188
Author(s):  
A. Kerimkulova ◽  
O. Lunegova ◽  
S. Abilova ◽  
K. Neronova ◽  
U. Zakirov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Score ◽  
Cardiometabolic Risk ◽  
Diabetes Risk ◽  
Cardiometabolic Risk Factors ◽  
Diabetes Risk Score

scholarly journals Diabetes Risk Profile for an Argeş County Adult Sample – Findrisc Score Characteristics

2020 ◽  
Vol 25 (3) ◽  
pp. 10-14
Author(s):  
Ruxandra Roşescu ◽  
Oana Cristina Cînpeanu ◽  
Claudiu Teodorescu ◽  
Monica Tarcea
Keyword(s):  
Body Mass Index ◽  
Pilot Study ◽  
Health Education ◽  
Risk Score ◽  
Hdl Cholesterol ◽  
Risk Profile ◽  
Diabetes Risk ◽  
Cholesterol Levels ◽  
Low Hdl ◽  
Diabetes Risk Score

AbstractThe prevalence of diabetes has doubled in the last 4 decades in Romania. Our goal was to identify the risk profile in a group of Argeş county patients based on the Finnish Diabetes Risk Score (FINDRISC) score and main variables analysed. Our study was based on a pilot study on a group of 103 patients. The Finnish Diabetes Risk Score was used to calculate the risk of developing diabetes for our patients. In our group, the FINDRISC score was not statistically significantly correlated with body mass index, but was statistically significantly correlated with hypertriglyceridemia, low HDL-Cholesterol levels, hyperuricemia, hyperglycemia, and hypertension. The older you get, the higher your risk of developing diabetes. The present study demonstrates the importance of lifestyle in terms of the risk of developing diabetes, supporting the need to implement more effective health education measures on a balanced lifestyle and establishing interdisciplinary mechanisms of collaboration between physician, nutritionist and psychologist to promote health.

scholarly journals Diabetes risk score for identifying cardiometabolic risk factors in adult Bangladeshi population

2018 ◽  
Vol 9 (3) ◽  
pp. 95
Author(s):  
Bishwajit Bhowmik ◽  
Tasnima Siddiquee ◽  
Anindita Mujumder ◽  
Tofail Ahmed ◽  
Hajera Mahtab ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Score ◽  
Cardiometabolic Risk ◽  
Diabetes Risk ◽  
Cardiometabolic Risk Factors ◽  
Bangladeshi Population ◽  
Diabetes Risk Score
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