Certified Diabetes Care and Education Specialist (CDCES) Practice Exam

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What is the most significant predictor of A1C reduction when using continuous glucose monitoring (CGM)?

  1. Frequency of device calibration

  2. Use of a higher low-glucose alarm setting

  3. Frequency of sensor use

  4. Age of the person using the device

The correct answer is: Frequency of sensor use

The most significant predictor of A1C reduction when using continuous glucose monitoring (CGM) is the frequency of sensor use. Consistent and frequent use of the CGM allows individuals to gain better insight into their glucose levels throughout the day and night. This increased awareness facilitates timely adjustments to their diabetes management strategies, including insulin dosing and carbohydrate intake, thereby allowing for better overall glycemic control. Having more data points helps users to identify patterns and trends in their glucose levels, allowing for proactive responses to potential highs or lows. This regular engagement with the CGM data supports users in making informed decisions about their diabetes management, ultimately leading to improved A1C results. While factors such as calibration frequency, alarm settings, and the age of the user can certainly influence the overall management of diabetes, they do not have as profound an impact on A1C reduction as the frequency with which the CGM sensor is utilized. Therefore, the correct answer emphasizes the importance of active and consistent use of the CGM for optimal diabetes control.