Adapting Diabetes Risk Scores for Jordan
Amjad Al Shdaifat1, Yousef Khader2, Muwafag Al Hyari3
1Department of Medicine and Family Medicine, Faculty of Medicine, Hashemite University, Zarqa, Jordan.
International Journal of General Medicine
|August 5, 2021
Summary
The Finland Diabetes Risk Score (FINDRISC) is the most effective tool for identifying pre-diabetes and diabetes in Jordanian adults. This risk score accurately predicts high fasting blood sugar levels and identifies individuals at risk.
Area of Science:
- Endocrinology
- Public Health
- Preventive Medicine
Background:
- Diabetes risk scores are valuable non-invasive tools for screening individuals at high risk of diabetes.
- Assessing the predictive accuracy of various diabetes risk-scoring systems is crucial for effective public health strategies.
- Understanding the performance of different risk scores in diverse populations, like Jordanian adults, is essential for targeted interventions.
Purpose of the Study:
- To evaluate and compare the predictive capabilities of multiple diabetes risk-scoring systems.
- To determine the most effective risk score for identifying pre-diabetes and diabetes in the Jordanian adult population.
- To assess the correlation between different risk scores and measured fasting blood sugar levels.
Main Methods:
- A cross-sectional study involving 392 Jordanian adults from 54 primary healthcare centers.
- Calculation of multiple diabetes risk scores, including the American Diabetes Association, Canadian, Finland (FINDRISC), British, German, and Australian risk scores.
- Measurement of fasting blood sugar (FBS) for all participants, followed by ROC analysis and logistic regression.
Main Results:
- The Finland Diabetes Risk Score (FINDRISC), British, and Australian risk scores showed strong inter-correlation and moderate, significant correlation with FBS.
- Other risk scores demonstrated weaker correlations with FBS.
- FINDRISC emerged as the superior risk score in predicting high FBS and identifying pre-diabetes and diabetes, based on ROC analysis and logistic regression.
Conclusions:
- The FINDRISC demonstrated the best performance among the evaluated risk scores for predicting pre-diabetes, diabetes, and absence of diabetes.
- The study recommends the implementation of the FINDRISC assessment tool in Jordan for diabetes screening.
- Utilizing FINDRISC can enhance early detection and management of diabetes in the Jordanian population.
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