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Med."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This systematic review synthesized 61 dynamically tailored eHealth interventions for chronic disease management from 117 papers. Tailoring strategies varied in scope and complexity, with most targeting physical activity (87%) and nutrition (43%), while nearly three-quarters also integrated contextual, emotional, or physiological variables. Physical activity was often objectively measured (60%), but dietary intake remained self-reported (100%). Disease-specific biofeedback, such as glucose or blood pressure monitoring, was rare. Tailoring was predominantly rule-based (74%), though data-driven methods like machine learning (13%) are emerging. Most interventions used text-based delivery and drew on behavior change theory, particularly goal setting, self-monitoring, and feedback. While many showed positive within-group outcomes, benefits over controls were inconclusive. Progress within the field requires: (1) multidisciplinary development with rationale, (2) transparent reporting using structured frameworks, and (3) innovative evaluation designs to disentangle multi-component interventions. Strengthening methodological foundations is essential to unlock potential for delivering tailored lifestyle support in chronic disease care.<\/jats:p>","DOI":"10.1038\/s41746-025-02054-7","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T13:02:22Z","timestamp":1763557342000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Systematic review of dynamically tailored eHealth interventions targeting physical activity and healthy diet in chronic disease"],"prefix":"10.1038","volume":"8","author":[{"given":"E. A. 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