{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T04:53:28Z","timestamp":1791176008976,"version":"4.1.0"},"reference-count":30,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:00Z","timestamp":1791158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To describe distinct trajectory patterns of oral frailty after implant-supported prosthesis delivery in older patients and to identify associated factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This prospective longitudinal cohort study consecutively enrolled 211 older patients who completed implant-supported prosthesis delivery at Nantong Stomatological Hospital and Haoting Dental Clinic between January 1 and April 30, 2025. Oral frailty was assessed using the adapted seven-item version of the Oral Frailty Index-8 (OFI-8, 7-item version; score range 0\u20139) at baseline (T0, prosthesis delivery) and at 3, 6, 9, and 12\u202fmonths post-delivery (T1\u2013T4). Distinct trajectories were identified using latent class growth modeling (LCGM). Multivariable multinomial logistic regression was used to analyze factors associated with trajectory membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Three distinct oral frailty trajectories were identified: (1) Rapid Improvement-Stable Pattern (Class 1,\n                      <jats:italic>n<\/jats:italic>\n                      =\u202f90, 42.7%), characterized by a sharp decline in OFI-8 scores immediately after prosthesis delivery followed by sustained low levels; (2) Gradual Improvement-Plateau Pattern (Class 2,\n                      <jats:italic>n<\/jats:italic>\n                      =\u202f74, 35.1%), showing a gradual decline followed by a plateau; and (3) Persistent High-Risk Pattern (Class 3,\n                      <jats:italic>n<\/jats:italic>\n                      =\u202f47, 22.2%), with scores remaining elevated throughout the 12-month observation period. Multivariable multinomial logistic regression analysis revealed that age (aOR\u202f=\u202f1.12, 95% CI: 1.04\u20131.21), number of medications (aOR\u202f=\u202f1.25, 95% CI: 1.05\u20131.49), and number of missing teeth (aOR\u202f=\u202f1.09, 95% CI: 1.02\u20131.16) were independently associated with membership in Class 3. Bootstrap validation supported the robustness of the model. None of these variables showed statistical significance in distinguishing Class 2 from Class 1.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Oral frailty trajectories in older patients with dental implants are heterogeneous. Older age, polypharmacy, and a greater number of missing teeth were independently associated with membership in the persistent high-risk trajectory, suggesting that these factors may help identify patients requiring prioritized follow-up.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1891290","type":"journal-article","created":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T04:37:06Z","timestamp":1791175026000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Heterogeneous trajectories of oral frailty and their determinants in older patients receiving dental implants: a longitudinal study"],"prefix":"10.3389","volume":"14","author":[{"given":"Ying","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Prosthetics, Affiliated Nantong Stomatological Hospital of Nantong University","place":["Nantong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nan","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Prosthetics, Affiliated Nantong Stomatological Hospital of Nantong University","place":["Nantong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyao","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Nursing, The Sixth People\u2019s Hospital of Nantong","place":["Nantong, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiufeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Planting, Nantong Haoting Dental Clinic","place":["Nantong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,10,5]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"106004","DOI":"10.1016\/j.archger.2025.106004","article-title":"Adverse health outcomes of 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