{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:44:06Z","timestamp":1785545046799,"version":"3.56.0"},"reference-count":22,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Diabetes"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Digital therapeutics integrating continuous glucose monitoring (CGM) with personalized lifestyle coaching can enhance glycemic control in individuals with type 2 diabetes mellitus (T2DM). However, real-world evidence evaluating such multicomponent interventions\u2014combining CGM with nutrition coaching, physiotherapy, and cognitive behavioral therapy within a unified digital platform\u2014remains limited in South Asian populations.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to evaluate the effectiveness of an app-based lifestyle-integrated intervention program (Glycemic Lifestyle Intervention in Diabetes Empowerment\u2013CGM; GLIDE-C) on glycemic, anthropometric, lipid profile, quality of life (QoL), and behavioral outcomes, as well as outcomes related to HEOR (health economics and outcomes research), in adults with mildly uncontrolled T2DM.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n \n A prospective observational cohort study was conducted among adults aged \u226518 years with confirmed T2DM and baseline hemoglobin A\n 1c<\/jats:sub>\n (HbA\n 1c<\/jats:sub>\n ) between 7.5% and 9.5%. The intervention was delivered via the Goodflip mobile app, including a 15-day CGM period and a structured analysis of glucose variations, among other clinical assessments, with follow-up on days 15, 30, and 60. The digital intervention combined CGM-guided personalized diet, exercise, and cognitive behavioral therapy plans delivered through the mobile app, supported by multidisciplinary coaching. Primary outcomes were changes in HbA\n 1c<\/jats:sub>\n , fasting plasma glucose, postprandial glucose, and CGM metrics; secondary outcomes included lipid profile, anthropometric indices, QoL, and behavioral determinants of glycemic improvement.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Eighteen participants (mean age 49.45, SD 10.91 years; n=11, 61.1% male) completed the program. Mean HbA\n 1c<\/jats:sub>\n decreased by 0.59% (\n P<\/jats:italic>\n =.05), with postprandial glucose decreasing by 25.42 mg\/dL (\n P<\/jats:italic>\n =.06) and time in range increasing by 9.98%. Modest reductions, consistent with the short intervention duration, occurred in low-density lipoprotein cholesterol (\u22128.38 mg\/dL), body fat (\u22121.13 kg), and waist circumference (\u22121.56 cm). QoL improved significantly for sleep quality (\n P<\/jats:italic>\n =.04). Improvements were also observed for motivation (\n P<\/jats:italic>\n =.06), stress management (\n P<\/jats:italic>\n =.08), and mood (\n P<\/jats:italic>\n =.12), although these changes were not statistically significant. Behavioral analysis demonstrated strong associations with glycemic outcomes;\n \n all participants who reduced their consumption of energy-dense, nutrient-poor foods experienced improvements in HbA\n 1c<\/jats:sub>\n , whereas those who did not reduce energy-dense, nutrient-poor intake showed less favorable outcomes.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The novel GLIDE-C program demonstrated clinically meaningful improvements in glycemic control, behavioral outcomes, and QoL in adults with T2DM, without pharmacological modification. These findings strengthen the role of integrated, CGM-guided digital therapeutic platforms as an effective adjunct to the conventional standard of care.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/86651","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T19:12:38Z","timestamp":1783537958000},"page":"e86651-e86651","source":"Crossref","is-referenced-by-count":0,"title":["App-Based Digital Therapeutics Integrating Continuous Glucose Monitoring for Glycemic Control in Type 2 Diabetes: Prospective Observational Cohort Study"],"prefix":"10.2196","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7293-8864","authenticated-orcid":false,"given":"Banshi","family":"Saboo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5149-9794","authenticated-orcid":false,"given":"Mudit","family":"Sabharwal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8321-7966","authenticated-orcid":false,"given":"Mihir","family":"Gharia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7305-0824","authenticated-orcid":false,"given":"Devina","family":"Aswal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1258-1642","authenticated-orcid":false,"given":"Parth","family":"Modi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4237-0742","authenticated-orcid":false,"given":"Twinkle","family":"Maheshwari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8249-6836","authenticated-orcid":false,"given":"Jaymin","family":"Parikh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9829-9192","authenticated-orcid":false,"given":"Simpel","family":"Saanyal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3194-1922","authenticated-orcid":false,"given":"Jaikishan","family":"Agrawal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,7,8]]},"reference":[{"key":"R1","unstructured":"IDF Diabetes Atlas. 11th ed. 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