Yujin Park , Hye Rin Choi , Ji-eun Lee , Boram Choi , Chang-bo Noh , Jae-Heon Kang , Ye Seul Bae
{"title":"实时连续血糖监测和个性化数字健康指导对2型糖尿病及前驱糖尿病患者血糖控制和生活方式的影响","authors":"Yujin Park , Hye Rin Choi , Ji-eun Lee , Boram Choi , Chang-bo Noh , Jae-Heon Kang , Ye Seul Bae","doi":"10.1016/j.pcd.2025.12.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study evaluated the impact of real-time continuous glucose monitoring (CGM) combined with personalized digital health coaching on glycemic control and lifestyle behaviors in individuals with type 2 diabetes (T2DM) and prediabetes.</div></div><div><h3>Method</h3><div>A prospective cohort study was conducted involving 110 participants recruited from a chronic disease management service. The participants underwent an 8-week intervention where CGM data were used to provide real-time feedback, complemented by personalized lifestyle coaching. Baseline and post-intervention data included fasting blood glucose (FBG), glycated hemoglobin (HbA1c), body mass index (BMI), and lifestyle factors such as physical activity and eating habits. Participants were divided into tertiles based on mean amplitude of glycemic excursion (MAGE) to evaluate the effects of the intervention by glycemic variability (GV) level.</div></div><div><h3>Results</h3><div>Significant improvements in glycemic control were observed across all tertiles. The highest GV group (T3) showed the greatest reductions in HbA1c (7.39 % to 6.82 %, p = 0.004) and FBG. The physical activity scores significantly increased in the T3 group (p = 0.005), and all tertiles reported healthier dietary habits following the intervention.</div></div><div><h3>Conclusions</h3><div>The integration of CGM with personalized digital health coaching was associated with significant short-term improvements in glycemic control and lifestyle behaviors, particularly among individuals with high GV.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"20 1","pages":"Pages 61-67"},"PeriodicalIF":2.3000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of real-time continuous glucose monitoring and personalized digital health coaching on glycemic control and lifestyle in patients with type 2 diabetes and prediabetes\",\"authors\":\"Yujin Park , Hye Rin Choi , Ji-eun Lee , Boram Choi , Chang-bo Noh , Jae-Heon Kang , Ye Seul Bae\",\"doi\":\"10.1016/j.pcd.2025.12.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study evaluated the impact of real-time continuous glucose monitoring (CGM) combined with personalized digital health coaching on glycemic control and lifestyle behaviors in individuals with type 2 diabetes (T2DM) and prediabetes.</div></div><div><h3>Method</h3><div>A prospective cohort study was conducted involving 110 participants recruited from a chronic disease management service. The participants underwent an 8-week intervention where CGM data were used to provide real-time feedback, complemented by personalized lifestyle coaching. Baseline and post-intervention data included fasting blood glucose (FBG), glycated hemoglobin (HbA1c), body mass index (BMI), and lifestyle factors such as physical activity and eating habits. Participants were divided into tertiles based on mean amplitude of glycemic excursion (MAGE) to evaluate the effects of the intervention by glycemic variability (GV) level.</div></div><div><h3>Results</h3><div>Significant improvements in glycemic control were observed across all tertiles. The highest GV group (T3) showed the greatest reductions in HbA1c (7.39 % to 6.82 %, p = 0.004) and FBG. The physical activity scores significantly increased in the T3 group (p = 0.005), and all tertiles reported healthier dietary habits following the intervention.</div></div><div><h3>Conclusions</h3><div>The integration of CGM with personalized digital health coaching was associated with significant short-term improvements in glycemic control and lifestyle behaviors, particularly among individuals with high GV.</div></div>\",\"PeriodicalId\":48997,\"journal\":{\"name\":\"Primary Care Diabetes\",\"volume\":\"20 1\",\"pages\":\"Pages 61-67\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2026-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Primary Care Diabetes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1751991825002335\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/12/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Primary Care Diabetes","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751991825002335","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/13 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Impact of real-time continuous glucose monitoring and personalized digital health coaching on glycemic control and lifestyle in patients with type 2 diabetes and prediabetes
Objective
This study evaluated the impact of real-time continuous glucose monitoring (CGM) combined with personalized digital health coaching on glycemic control and lifestyle behaviors in individuals with type 2 diabetes (T2DM) and prediabetes.
Method
A prospective cohort study was conducted involving 110 participants recruited from a chronic disease management service. The participants underwent an 8-week intervention where CGM data were used to provide real-time feedback, complemented by personalized lifestyle coaching. Baseline and post-intervention data included fasting blood glucose (FBG), glycated hemoglobin (HbA1c), body mass index (BMI), and lifestyle factors such as physical activity and eating habits. Participants were divided into tertiles based on mean amplitude of glycemic excursion (MAGE) to evaluate the effects of the intervention by glycemic variability (GV) level.
Results
Significant improvements in glycemic control were observed across all tertiles. The highest GV group (T3) showed the greatest reductions in HbA1c (7.39 % to 6.82 %, p = 0.004) and FBG. The physical activity scores significantly increased in the T3 group (p = 0.005), and all tertiles reported healthier dietary habits following the intervention.
Conclusions
The integration of CGM with personalized digital health coaching was associated with significant short-term improvements in glycemic control and lifestyle behaviors, particularly among individuals with high GV.
期刊介绍:
The journal publishes original research articles and high quality reviews in the fields of clinical care, diabetes education, nutrition, health services, psychosocial research and epidemiology and other areas as far as is relevant for diabetology in a primary-care setting. The purpose of the journal is to encourage interdisciplinary research and discussion between all those who are involved in primary diabetes care on an international level. The Journal also publishes news and articles concerning the policies and activities of Primary Care Diabetes Europe and reflects the society''s aim of improving the care for people with diabetes mellitus within the primary-care setting.