Graduation Date
Spring 2026
Document Type
Project
Program
Master of Arts degree with a major in Psychology, option Academic Research
Committee Chair Name
Dr Christopher Walmsley
Committee Chair Affiliation
Cal Poly Humboldt Faculty or Staff
Second Committee Member Name
Alison Palacios
Second Committee Member Affiliation
Cal Poly Humboldt Faculty or Staff
Keywords
Self-management, Self-monitoring, CGM, Dexcom G7, Automatic self monitoring, Diabetes type 2, Prediabetes, T2D, Applied behavior analysis
Subject Categories
Psychology
Abstract
Type 2 diabetes (T2D) and prediabetes affect millions of individuals in the United States and require effective self-management strategies to reduce glucose variability and improve health outcomes. This study evaluated the effects of automated self-monitoring using the Dexcom G7 continuous glucose monitor (CGM) on glucose management and health-related behaviors among adults diagnosed with prediabetes or at risk for T2D. A repeated-measures design was used to asses’ participants across two distinct 10-day periods. Data included CGM glucose readings, self-report questionnaires, and social validity measures. Results indicated that participants demonstrated reduced glucose variability, fewer prolonged glucose spikes, and increased engagement in health-related behaviors such as exercise, nutrition modification, and medication adherence. Findings suggest that CGM-assisted automated self-monitoring may function as an effective behavioral self-management tool that promotes adaptive health behaviors and improved glycemic regulation.
Citation Style
Phillips, A., Leticia. (2016). The Effect of Automated Self-Monitoring on the Behavior of Individuals Diagnosed with Pre-Diabetes.Cal Poly Humboldt theses and projects
Recommended Citation
Phillips Armenta, Leti, "The effect of automated self-monitoring on the behavior of individuals diagnosed with pre-diabetes or Type 2 diabetes" (2026). Cal Poly Humboldt theses and projects. 2587.
https://digitalcommons.humboldt.edu/etd/2587