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The three cognitive trajectories previously identified were based on the Mini-Mental State Examination (MMSE). Mortality information obtained from the city\u2019s official population registry was registered up to 6 years after the end of the fourth wave of the study. Cox proportional hazard regression analyses for analyzing the risk of death were performed globally and for each cognitive trajectory.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>At follow-up, 42.4% of the participants had died. Individuals in class 2-moderate-stable and in class 3-low-and-declining had a 24% and 96%, respectively, higher risk of mortality than those in class 1-high-to-moderate. Those younger and women showed significant lower risks of death in all the classes. Being single, with diabetes, dependency in basic Activities of Daily Living, ex-drinkers, smokers, and ex-smokers increased the risk in class 2. Hypertension showed a higher risk of death in the high-to-moderate group. In the low-and-declining trajectory, anxiety nearly tripled the risk of death.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Trajectories with cognitive decline are associated with higher mortality, with the risk of death showing a gradient. Predictors of mortality differ by cognitive trajectory; the differences being observed even among the cognitively healthier groups.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00127-025-02862-y","type":"journal-article","created":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T10:19:02Z","timestamp":1741256342000},"page":"2887-2895","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Cognitive trajectories in older adults and associated mortality and predictors"],"prefix":"10.1007","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1252-2397","authenticated-orcid":false,"given":"Elena","family":"Lobo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Concepci\u00f3n","family":"De la C\u00e1mara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patricia","family":"Gracia-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedro","family":"Saz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ra\u00fal","family":"L\u00f3pez-Ant\u00f3n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Lobo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,6]]},"reference":[{"issue":"1","key":"2862_CR1","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1097\/01.JGP.0000192501.03069.bc","volume":"14","author":"CA Depp","year":"2006","unstructured":"Depp CA, Jeste DV (2006) Definitions and predictors of successful aging: a comprehensive review of larger quantitative studies. 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