{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:44:16Z","timestamp":1785545056662,"version":"3.56.0"},"reference-count":41,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n The burden of hypertension (HTN), type 2 diabetes mellitus (DM), and obesity is increasing among employees, driven by workplace-related factors such as sedentary behavior and unhealthy lifestyles, while follow-up management after health checkups remains inadequate. Mobile health (mHealth) interventions have emerged as promising tools to support self-management and sustain lifestyle changes; however, evidence regarding their long-term associations in real-world occupational settings remains limited.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to investigate whether a short-term mobile-based chronic disease management program was associated with sustained improvements in metabolic health outcomes among employees with metabolic risks over a 4-year period.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n The authors evaluated a 12-week mobile-based chronic disease management program delivered as part of an employee assistance program targeting workers with metabolic risk factors. Using propensity score\u2013matched cohorts from the Kangbuk Samsung Health Study (HTN: N=90; DM: N=78; obesity: N=132), we analyzed longitudinal health examination data from 2019 (baseline) and 2023 (follow-up). Primary outcomes included blood pressure (BP), BMI, fasting glucose,\n \n glycated hemoglobin, triglycerides, and lipid profiles. Adjusted longitudinal changes were assessed using linear mixed effects models.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Among propensity score\u2013matched cohorts, the intervention group showed more favorable changes compared to the controls. In the HTN cohort, systolic BP and diastolic BP showed no significant group \u00d7 time interactions, although diastolic BP was lower in the intervention group at follow-up (\n P<\/jats:italic>\n =.045). In the DM cohort, diastolic BP showed a significant group \u00d7 time interaction (\n P<\/jats:italic>\n =.02), with a decrease over time observed in the intervention group, while glycemic indicators did not differ significantly between groups. In the obesity cohort, triglycerides and high-density lipoprotein cholesterol showed significant group \u00d7 time interactions (both\n P<\/jats:italic>\n <.001), indicating more favorable longitudinal changes in the intervention group. Overall, the intervention groups demonstrated improved or stable cardiometabolic profiles compared to the control groups over the follow-up period.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n A short-term, personalized mHealth intervention was associated with favorable long-term changes over a 4-year follow-up period among employees with chronic disease risk. This real-world evidence supports integrating digital health programs into routine workplace prevention strategies to bridge the postcheckup care gap.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/82822","type":"journal-article","created":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T18:43:30Z","timestamp":1784832210000},"page":"e82822-e82822","source":"Crossref","is-referenced-by-count":0,"title":["Long-Term Associations of a Mobile-Based Chronic Disease Management Program With Employee Health: Four-Year Retrospective Cohort Study"],"prefix":"10.2196","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7936-9307","authenticated-orcid":false,"given":"Yujin","family":"Park","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7876-9332","authenticated-orcid":false,"given":"Yoon Ji","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8300-880X","authenticated-orcid":false,"given":"Boram","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4465-5736","authenticated-orcid":false,"given":"Chang-bo","family":"Noh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8465-3564","authenticated-orcid":false,"given":"Su Hwan","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2881-8682","authenticated-orcid":false,"given":"Jiseon","family":"Bang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1288-9642","authenticated-orcid":false,"given":"Ji-eun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5209-0824","authenticated-orcid":false,"given":"Jae-Heon","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0763-5458","authenticated-orcid":false,"given":"Ye Seul","family":"Bae","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,7,23]]},"reference":[{"key":"R1","unstructured":"Noncommunicable diseases. 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