Sherecce Fields, Kianna Arthur, Samantha R Philip, Rachel Smallman, Vishaka Kalra, Kirsten Yehl, Felix Lee, David Kerr
{"title":"美国成人糖尿病患者自我管理的糖尿病和健康智能手机应用程序","authors":"Sherecce Fields, Kianna Arthur, Samantha R Philip, Rachel Smallman, Vishaka Kalra, Kirsten Yehl, Felix Lee, David Kerr","doi":"10.1177/19322968251322189","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetes self-management plays a vital role in improving clinical outcomes and the quality of life of individuals living with diabetes. Despite considerable research on its impact on clinical outcomes, diabetes self-management continues to be challenging for many individuals living with the condition. As part of the growth in digital health technologies for diabetes care, smartphone applications present potential opportunities to bridge the existing gaps in self-management and improve patient outcomes.</p><p><strong>Method: </strong>Participants (<i>N</i> = 3241 people with diabetes) were recruited to answer questions about diabetes self-management, including their use of digital tools, their preferences for smartphone applications for diabetes, and the preferred functions of these applications they found useful. Frequency distributions and chi-square analyses were performed to examine the demographic differences among users of diabetes and general wellness applications.</p><p><strong>Results: </strong>Among participants, 30.2% reported using health applications specifically made for diabetes management, while 33.9% reported using health applications that were not diabetes-specific. Considerable differences in demographic characteristics were found between users and nonusers of both diabetes-specific and general health applications groups. The most preferred applications provided the opportunity to engage with continuous glucose monitoring data (i.e., continuous measurement; 47.4%) followed by glucose monitoring (i.e., single reading measurement; 20.9%), food intake trackers (23.6%), and fitness goal trackers (22.8%).</p><p><strong>Conclusion: </strong>These findings suggest that the use of digital health technologies is popular for people living with diabetes, but more needs to be done to ensure wider adoption and sustained use.</p>","PeriodicalId":15475,"journal":{"name":"Journal of Diabetes Science and Technology","volume":" ","pages":"1230-1238"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955987/pdf/","citationCount":"0","resultStr":"{\"title\":\"Diabetes and Wellness Smartphone Applications for Self-Management Among Adults With Diabetes in the United States.\",\"authors\":\"Sherecce Fields, Kianna Arthur, Samantha R Philip, Rachel Smallman, Vishaka Kalra, Kirsten Yehl, Felix Lee, David Kerr\",\"doi\":\"10.1177/19322968251322189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Diabetes self-management plays a vital role in improving clinical outcomes and the quality of life of individuals living with diabetes. Despite considerable research on its impact on clinical outcomes, diabetes self-management continues to be challenging for many individuals living with the condition. As part of the growth in digital health technologies for diabetes care, smartphone applications present potential opportunities to bridge the existing gaps in self-management and improve patient outcomes.</p><p><strong>Method: </strong>Participants (<i>N</i> = 3241 people with diabetes) were recruited to answer questions about diabetes self-management, including their use of digital tools, their preferences for smartphone applications for diabetes, and the preferred functions of these applications they found useful. Frequency distributions and chi-square analyses were performed to examine the demographic differences among users of diabetes and general wellness applications.</p><p><strong>Results: </strong>Among participants, 30.2% reported using health applications specifically made for diabetes management, while 33.9% reported using health applications that were not diabetes-specific. Considerable differences in demographic characteristics were found between users and nonusers of both diabetes-specific and general health applications groups. The most preferred applications provided the opportunity to engage with continuous glucose monitoring data (i.e., continuous measurement; 47.4%) followed by glucose monitoring (i.e., single reading measurement; 20.9%), food intake trackers (23.6%), and fitness goal trackers (22.8%).</p><p><strong>Conclusion: </strong>These findings suggest that the use of digital health technologies is popular for people living with diabetes, but more needs to be done to ensure wider adoption and sustained use.</p>\",\"PeriodicalId\":15475,\"journal\":{\"name\":\"Journal of Diabetes Science and Technology\",\"volume\":\" \",\"pages\":\"1230-1238\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955987/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Diabetes Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/19322968251322189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/31 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19322968251322189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/31 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Diabetes and Wellness Smartphone Applications for Self-Management Among Adults With Diabetes in the United States.
Background: Diabetes self-management plays a vital role in improving clinical outcomes and the quality of life of individuals living with diabetes. Despite considerable research on its impact on clinical outcomes, diabetes self-management continues to be challenging for many individuals living with the condition. As part of the growth in digital health technologies for diabetes care, smartphone applications present potential opportunities to bridge the existing gaps in self-management and improve patient outcomes.
Method: Participants (N = 3241 people with diabetes) were recruited to answer questions about diabetes self-management, including their use of digital tools, their preferences for smartphone applications for diabetes, and the preferred functions of these applications they found useful. Frequency distributions and chi-square analyses were performed to examine the demographic differences among users of diabetes and general wellness applications.
Results: Among participants, 30.2% reported using health applications specifically made for diabetes management, while 33.9% reported using health applications that were not diabetes-specific. Considerable differences in demographic characteristics were found between users and nonusers of both diabetes-specific and general health applications groups. The most preferred applications provided the opportunity to engage with continuous glucose monitoring data (i.e., continuous measurement; 47.4%) followed by glucose monitoring (i.e., single reading measurement; 20.9%), food intake trackers (23.6%), and fitness goal trackers (22.8%).
Conclusion: These findings suggest that the use of digital health technologies is popular for people living with diabetes, but more needs to be done to ensure wider adoption and sustained use.
期刊介绍:
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.