Yoo Jin Jang, Ju-Yeong Park, Se Yun Kim, Jin-Hyung Jung, Kyungdo Han, Se Chang Yoon, Hong Jin Jeon
{"title":"≥75岁成人抑郁对痴呆风险影响的年龄差异","authors":"Yoo Jin Jang, Ju-Yeong Park, Se Yun Kim, Jin-Hyung Jung, Kyungdo Han, Se Chang Yoon, Hong Jin Jeon","doi":"10.1002/dad2.70185","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Late-life depression is linked to an increased dementia risk; however, whether this relationship varies with age remains unclear.</p><p><strong>Methods: </strong>We analyzed data from 1,127,331 individuals aged ≥75 years without dementia from the Korean National Health Insurance database who had undergone health screening between 2012 and 2015. Participants were followed up for ≤10 years. Cox proportional hazards and Fine-Gray subdistribution models were used to estimate dementia risk.</p><p><strong>Results: </strong>Depression was associated with increased dementia risk in both the old-old (75 to 84 years; hazard ratio [HR]: 1.338, 95% confidence interval [CI]: 1.325 to 1.351) and the oldest-old (≥85 years; HR: 1.111, 95% CI: 1.071 to 1.152), with attenuated effects at older ages. Cerebrovascular disease modified this association in the old-old, but no interaction was observed in the oldest-old.</p><p><strong>Discussion: </strong>Depression's impact on dementia risk decreases with age. Cerebrovascular diseases may influence depression-associated neurodegenerative pathways, although this interaction diminishes in the oldest-old.</p><p><strong>Highlights: </strong>Depression increased dementia risk in adults aged 75 years and older.The strength of the association declined with advancing age.Effect modification by cerebrovascular disease was observed only in the 75 to 84 old group.Findings support age-related decline in depression's impact on dementia risk.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"17 4","pages":"e70185"},"PeriodicalIF":4.4000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12477493/pdf/","citationCount":"0","resultStr":"{\"title\":\"Variation in depression's impact on dementia risk by age in adults aged ≥75 years.\",\"authors\":\"Yoo Jin Jang, Ju-Yeong Park, Se Yun Kim, Jin-Hyung Jung, Kyungdo Han, Se Chang Yoon, Hong Jin Jeon\",\"doi\":\"10.1002/dad2.70185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Late-life depression is linked to an increased dementia risk; however, whether this relationship varies with age remains unclear.</p><p><strong>Methods: </strong>We analyzed data from 1,127,331 individuals aged ≥75 years without dementia from the Korean National Health Insurance database who had undergone health screening between 2012 and 2015. Participants were followed up for ≤10 years. Cox proportional hazards and Fine-Gray subdistribution models were used to estimate dementia risk.</p><p><strong>Results: </strong>Depression was associated with increased dementia risk in both the old-old (75 to 84 years; hazard ratio [HR]: 1.338, 95% confidence interval [CI]: 1.325 to 1.351) and the oldest-old (≥85 years; HR: 1.111, 95% CI: 1.071 to 1.152), with attenuated effects at older ages. Cerebrovascular disease modified this association in the old-old, but no interaction was observed in the oldest-old.</p><p><strong>Discussion: </strong>Depression's impact on dementia risk decreases with age. Cerebrovascular diseases may influence depression-associated neurodegenerative pathways, although this interaction diminishes in the oldest-old.</p><p><strong>Highlights: </strong>Depression increased dementia risk in adults aged 75 years and older.The strength of the association declined with advancing age.Effect modification by cerebrovascular disease was observed only in the 75 to 84 old group.Findings support age-related decline in depression's impact on dementia risk.</p>\",\"PeriodicalId\":53226,\"journal\":{\"name\":\"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring\",\"volume\":\"17 4\",\"pages\":\"e70185\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12477493/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/dad2.70185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/dad2.70185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Variation in depression's impact on dementia risk by age in adults aged ≥75 years.
Introduction: Late-life depression is linked to an increased dementia risk; however, whether this relationship varies with age remains unclear.
Methods: We analyzed data from 1,127,331 individuals aged ≥75 years without dementia from the Korean National Health Insurance database who had undergone health screening between 2012 and 2015. Participants were followed up for ≤10 years. Cox proportional hazards and Fine-Gray subdistribution models were used to estimate dementia risk.
Results: Depression was associated with increased dementia risk in both the old-old (75 to 84 years; hazard ratio [HR]: 1.338, 95% confidence interval [CI]: 1.325 to 1.351) and the oldest-old (≥85 years; HR: 1.111, 95% CI: 1.071 to 1.152), with attenuated effects at older ages. Cerebrovascular disease modified this association in the old-old, but no interaction was observed in the oldest-old.
Discussion: Depression's impact on dementia risk decreases with age. Cerebrovascular diseases may influence depression-associated neurodegenerative pathways, although this interaction diminishes in the oldest-old.
Highlights: Depression increased dementia risk in adults aged 75 years and older.The strength of the association declined with advancing age.Effect modification by cerebrovascular disease was observed only in the 75 to 84 old group.Findings support age-related decline in depression's impact on dementia risk.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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