Why the study?
The study was conducted to determine the prevalence of individuals at high risk for diabetes mellitus and pre-diabetes based on the American Diabetes Association risk score among Iranian people.
What is the diagnostic accuracy of anthropometric indices for detecting high ADA risk scores for diabetes in an Iranian cohort?
Cross-Sectional (n=7,989)
What is the diagnostic accuracy of anthropometric indices for detecting high ADA risk scores for diabetes in an Iranian cohort?
Waist circumference and BMI offer moderate diagnostic value for identifying individuals at high risk for diabetes based on the ADA risk score in an Iranian population.
Answers are grounded in this paper and cite their sources.
May support anthropometric screening for diabetes risk in Iranians; leaves open prospective validation and outcome impact.
Background: To determine prevalence of high risk individuals for diabetes mellitus (DM) and pre DM based on American Diabetes Association (ADA) risk score among Iranian people. Methods: Present study was based on 7989 non diabetic subjects aged 35–70 years from 10520 PERSIAN Guilan Cohort Study (PGCS) participants. ADA risk score was calculated for every individual through online calculator. Receiver operating characteristic (ROC) curves was used to study diagnostic accuracy of the anthropometric indices for detecting individuals with high risk ADA score for developing DM, represented by area under the curve (AUC). Results: From 7989 study subjects, ADA risk score found 3874 (48.5%) and 19122 (23%) at risk for developing PreDM and DM, respectively. The results of ROC curve analyses showed the highest diagnostic value was related to waist circumference (WC) followed by Body Mass Index (BMI) (0.695 and 0.693, respectively). The cut-points of WC and BMI for identifying high risk people for DM were 97 and 29, respectively. Conclusions: A large number of our participants had high ADA risk score for developing DM and PreDM that provide the importance of prevention strategies. WC seems to be highest diagnostic value in identifying people (men and women) with DM.
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Hasandokht et al. (2020) conducted a cross-sectional in Risk for Diabetes Mellitus and Pre-Diabetes (n=7,989). Waist circumference vs. Lower waist circumference was evaluated on Diagnostic accuracy of waist circumference for detecting high risk of diabetes (AUC 0.695).
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