Effect of Self-Monitoring Clusters on Weight and Hemoglobin A1c

Nikhil Padhye, Jing Wang

Details

Category

Contributed Papers (Oral)

Theme

Empowering Individual Healthcare Decisions through Technology

Sessions

08:00 - 09:30 | Wed 17 Aug | Sorcerers Apprentice 2 | WeAT14

Biomarkers and Global Healthcare

Abstract

We investigated whether participants with higher adherence to smartphone or paper- based self-monitoring of diet, physical activity, blood glucose, and body weight have a beneficial impact on their body weight and hemoglobin A1c measures over a 3-month period. Data were combined from two intervention studies that recruited overweight or obese participants with type 2 diabetes. Three clusters of adherence to self-monitoring were identified. Participants in a cluster with high adherence to self-monitoring of diet and moderate adherence to glucose self-monitoring were found to have the biggest reductions in weight and hemoglobin A1c, as compared to clusters with either high or low adherence to self-monitoring of all four factors.

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